Accepted Minisymposium

Last Update : 2023/01/24 09:33

[00023] Recent advances on application driven nonlinear optimization

• Abstract : This minisymposium focuses on the new optimization techniques for application problems. Different application scenarios like machine learning and signal processing will be referred.
• Organizer(s) : Cong Sun
• Speakers Info :
• Zi Xu (Shanghai University)
• Qingna Li (Beiing Institute of Technology)
• Cong Sun (Beijing University of Posts and Telecommunications)
• Wei Bian (Harbin Institute of Technology)

[00024] Geometric methods in machine learning and data analysis

• Abstract : Geometry plays a paramount role in many aspects of data analysis and machine learning: Graphs on high-dimensional datasets encode interactions between geometry and data; Geometries on the space of probability measures give rise to new optimization and sampling algorithms; Geometric deep learning translates deep learning to new domains; Adversarial regularization of neural networks corresponds to geometric regularization. In this minisymposium we gather junior and senior researchers who have been driving the research in the field, using geometric methods for both analysis and algorithms. We aim at sparking new collaborations in this vibrant field and offering a platform for scientific exchange.
• Organizer(s) : Leon Bungert, Jeff Calder
• Speakers Info :
• Soledad Villar (Johns Hopkins University)
• Djordje Nikolic (University of California, Santa Barbara)
• Luana Ruiz (University of Pennsylvania)
• Elsa Cazelles (CNRS at IRIT)
• Melanie Weber (University of Oxford)
• Nadejda Drenska (Johns Hopkins University)
• Dejan Slepcev (Carnegie Mellon University)
• Nicolas Keriven (CNRS at GIPSA)
• Ron Levie (Technion – Israel Institute of Technology)
• Marco Caroccia (Politecnico di Milano)
• Jona Lelmi (University of Bonn)
• Minh Ha Quang (RIKEN Center for Advanced Intelligence Project)
• Contact Person : Leon Bungert (University of Bonn)

[00027] Recent trends on crowd management

• Abstract : Crowd management is an interdisciplinary field that has received much attention in recent year, and various scientific methods for reducing the risk of crowd avalanches and infections are being studied. In addition, encouraging decentralized behavior not only enhances safety, but also improves services from marketing viewpoints. Latest research results on sensing, simulation and guidance of crowds, which are all very important in crowd management, will be discussed by applied mathematicians from different backgrounds.
• Organizer(s) : Katsuhito Nishinari, Claudio Feliciani, Kensuke Yasufuku ,Tetsuya Aiko
• Speakers Info :
• Katsuhiro Nishinari (The University of Tokyo)
• Kensuke Yasufuku (Osaka University)
• Tetsuya Aiko (Hokkaido University)
• Claudio Feliciani (The University of Tokyo)

[00029] New Trends in Structural and Engineering Optimization

• Abstract : Over a wide range of modern engineering design, numerical optimization plays crucial roles in diverse decision-making processes. This minisymposium aims to bring together recent advances in various aspects of structural and engineering optimization. The topics of interest include, but are not limited to
– new advances in structural optimization methods,
– surrogate modeling and digital twins for engineering optimization,
– multi-scale and microstructral topology optimization,
– machine learning and data-driven approaches to optimization.
• Organizer(s) : Yoshihiro Kanno, Satoshi Kitayama, Akihiro Takezawa
• Speakers Info :
• Jaewook Lee (Gwangju Institute of Science and Technology)
• Takashi Yamamoto (Kogakuin University)
• Kazuo Yonekura (The University of Tokyo)
• Gil Ho Yoon (Hanyang University)
• Weisheng Zhang (Dalian University of Technology)
• Xiaopeng Zhang (Dalian University of Technology)
• Satoshi Kitayama (Kanazawa University)
• Akihiro Takezawa (Waseda University)
• Contact Person : Yoshihiro Kanno (The University of Tokyo)

[00033] Recent Advances on Quantitative Finance

• Abstract : The mini-symposium we propose aims to feature the latest developments and promote research in the field of quantitative finance. The mini-symposium will enhance interaction and cooperation among researchers worldwide working on some specific topics in the field. In particular, we will focus on, but are not limited to, the following three topics:
• stochastic control in quantitative finance,
• dynamic game and mean-field game in quantitative finance, and
• machine learning and reinforcement learning in quantitative finance.
Consequently, we plan to have three sessions on the above three topics, respectively
• Organizer(s) : Min Dai, Zuoquan Xu, Chao Zhou
• Speakers Info :
• Nizar Touzi (Ecole Polytechnique)
• Mete Soner (Princeton University)
• Xin Guo (UC Berkeley)
• Martin Schweizer (ETH)
• Dylan Possamai (ETH)
• Johannes Muhle-Karbe (Imperial College)
• Min Dai (The Hong Kong Polytechnic University and National University of Singapore)
• Chao Zhou (National University of Singapore)
• Zuoquan Xu (The Hong Kong Polytechnic University)
• Steven Kou (Boston University)
• Ulrich Horst (Humboldt University)
• Paolo Guasoni (Dublin City University)

[00036] Different perspectives in non-linear and non-local PDEs

• Abstract : The aim of this minisymposium is to gather researchers involved in the mathematical analysis of non-linear and non-local partial differential equations (PDEs), with emphasis on those modelling aggregation and/or diffusion phenomena. These PDEs are relevant in applications to physics, biology, population dynamics, data science, etc. The spectrum of possible mathematical approaches involves techniques from functional analysis, optimal transport theory, variational methods, etc. It is at the core of our minisymposium to touch upon recent advances in the study of aggregation-diffusion PDEs obtained, e.g., using generalised gradient flows, incompressible limits, particle approximations, numerical methods, symmetrisation and rearrangements, and Fourier analysis.
• Organizer(s) : Antonio Esposito, David Gómez-Castro
• Speakers Info :
• José Alfredo Cañizo (University of Granada)
• Young-Pil Choi (Yonsei University)
• Katy Craig (University of California, Santa Barbara)
• Félix del Teso (University Autónoma de Madrid)
• Matias Delgadino (University of Texas at Austin)
• Simone Fagioli (University of L’Aquila)
• Alejandro Fernández-Jiménez (University of Oxford)
• Rishabh Gvalani (Max-Planck-Institut für Mathematik in den Naturwissenschaften)
• André Schlichting (WWU Münster)
• Markus Schmidtchen (TU Dresden)
• Juan Luis Vázquez (University Autónoma de Madrid)
• Bruno Volzone (University Parthenope Naples)
• Contact Person : Antonio Esposito (University of Oxford)

[00037] Recent advances in modelling and simulation of interfacial flows

• Abstract : ​​Interfacial flows arise in numerous natural and technological applications spanning a wide range of length scales from lab-on-a-chip systems to planetary-scale flows. From a purely scientific perspective, these flows pose fundamental theoretical, computational, and experimental challenges to explain complex phenomena including the formation of coherent structures and wave-breaking, as well as phase and topological transitions. Advances in understanding have opened the way for new schemes that allow for precision optimisation and control. This minisymposium will bring together an array of cross-disciplinary specialists, working at the cutting edge of the field, to share their expertise and to exchange ideas.
• Organizer(s) : Mark Blyth, Anna Kalogirou, Alexander Wray
• Speakers Info :
• Alexander Wray (University of Strathclyde)
• Anna Kalogirou (University of Nottingham)
• Te-Sheng Lin (National Yang Ming Chiao Tung University)
• Benoit Scheid (Universite Libre de Bruxelles)
• Mathieu Sellier (University of Canterbury)
• Christian Ruyer-Quil (Universite de Savoie Mont Blanc)
• Doireann O’Kiely (University of Limerick)
• Philip Gaskell (Durham University)

[00038] Frontiers of gradient flows: well-posedness, asymptotics, singular limits

• Abstract : Gradient flows, a type of dynamics where systems follow steepest descent paths of various functionals, are ubiquitous in many areas of science and technology. Their mathematical understanding is still developing. Ideas like evolutionary variational inequalities, notions of slope, or very weak definitions originating from dynamical systems allow for far-reaching generalizations. Nonetheless, obstacles such as lack of convexity, non-trivial weights, or complicated geometric settings still cause difficulties. We would like to gather experts within the broad limits we stated, dealing with well-posedness and properties of gradient flows in non-classical cases, as well as singular limits or asymptotics.
• Organizer(s) : Yoshikazu Giga, Michal Lasica, Piotr Rybka
• Speakers Info :
• Anna Dall’Acqua (Ulm University)
• Baisheng Yan (Michigan State University)
• Glen Wheeler (University of Wollongong)
• Jose Mazon (University of Valencia)
• Masashi Misawa (Kumamoto University)
• Paola Pozzi (University of Duisburg-Essen)
• Shinya Okabe (Tohoku University)
• Yuan Gao (Purdue University)
• Contact Person : Michal Lasica (Polish Academy of Sciences)

[00047] Combining Machine Learning and Stochastic Methods for Modeling and Forecasting Complex Systems

• Abstract : Complex Systems are ubiquitous in different areas. Recent development of advanced machine learning tools and new stochastic modeling strategies introduce new insights and approaches of advancing the study of complex systems. This minisymposium aims at combining data-driven and physics-based methods to improve the current understanding, modeling and forecasting methods of various complex systems containing different features. Topics of this minisymposium include, but are not limited to, physics-driven machine learning techniques, efficient stochastic multiscale modeling approaches, data assimilation, uncertainty quantification, inverse problems, statistical control, surrogate and reduced order models as well as efficient forecast algorithms.
• Organizer(s) : Nan Chen, Di Qi
• Speakers Info :
• Georg Gottwald (University of Sydney)
• Andrea Bertozzi (UCLA)
• Dimitrios Giannakis (Dartmouth College)
• Hannah Christensen (University of Oxford)
• Elizabeth Barnes (Colorado State University)
• Fei Lu (Johns Hopkins University)
• Themistoklis Sapsis (MIT)
• Pedram Hassanzadeh (Rice University)
• Eviatar Bach (Caltech)
• Matthew Levine (Caltech)
• John Wettlaufer (Yale University)
• Contact Person : Di Qi (Purdue University)

[00048] Interfaces between kinetic equations and many-agent social systems. Part I

• Abstract : In recent years, kinetic-type models emerged to be a powerful mathematical framework for the description of emerging patterns in systems composed by a large number of agents. Furthermore, the natural multiscale nature of these equations, linking microscopic unobservable social forces to macroscopic measurable patterns, permits an efficient investigation of collective phenomena in a heterogeneity of disciplines, like biology, social sciences and robotics. In this minisymposium we collect novel perspectives from experts actively working on these research problems.
• Organizer(s) : Giacomo Dimarco, Young-Pil Choi
• Speakers Info :
• Andrea Tosin (Politecnico di Torino)
• Michael Herty (RWTH Aachen University)
• Elisa Iacomini (RWTH Aachen University)
• Bertram Düring (University of Warwick)
• Antonio Esposito (University of Oxford)
• Rafael Bailo (University of Oxford)
• Nadia Loy (Politecnico di Torino)
• Susana Gomes (University of Warwick)
• Contact Person : Mattia Zanella (University of Pavia)

[00049] Interfaces between kinetic equations and many-agent social systems. Part II

• Abstract : In recent years, kinetic-type models emerged to be a powerful mathematical framework for the description of emerging patterns in systems composed by a large number of agents. Furthermore, the natural multiscale nature of these equations, linking microscopic unobservable social forces to macroscopic measurable patterns, permits an efficient investigation of collective phenomena in a heterogeneity of disciplines, like biology, social sciences and robotics. In this minisymposium we collect novel perspectives from experts actively working on these research problems.
• Organizer(s) : Giacomo Dimarco, Young-Pil Choi, Mattia Zanella
• Speakers Info :
• Jingwei Hu (University of Washington)
• Seung-Yeal Ha (Seoul National University)
• Roman Shyvdkoy (University of Illinois at Chicago)
• Oliver Tse (Eindhoven University of Technology)
• Changhui Tan (University of South Carolina)
• Jeongho Kim (Korea Institute for Advanced Study)
• Jinwook Jung (Seoul National University)
• Ruiwen Shu (University of Oxford)
• Contact Person : Mattia Zanella (University of Pavia)

[00052] Efficient numerical methods for high-dimensional PDEs

• Abstract : Many problems in science and engineering are described by high-dimensional PDEs. Over the years, different numerical techniques have been developed for these problems, including low rank method, sparse grid, tensor method, reduced order modeling, machine learning, optimization, and quantum algorithms, to name a few. In this minisymposium, we bring researchers from a wide spectrum of application areas, such as plasma physics, quantum dynamics, biology, etc. to address the common theme of solving high-dimensional PDEs and exchange ideas.
• Organizer(s) : Lukas Einkemmer, Jingwei Hu
• Speakers Info :
• Christian Lubich (University of Tübingen)
• Lee Ricketson (Lawrence Livermore National Laboratory)
• Will Taitano (Air Force Research Laboratory)
• Jiequn Han (Flatiron Institute)
• Levon Nurbekyan (University of California, Los Angeles)
• Martina Prugger (University of Innsbruck)
• llon Joseph (Lawrence Livermore National Laboratory)
• Benjamin Peherstorfer (New York University)
• Contact Person : Jingwei Hu (University of Washington)

[00057] Many-agent systems and mean-field models for socio-economic and life sciences dynamics

• Abstract : Complex, real-life systems in sociology, economics, and life sciences often consist of a large number of individuals. Through interactions among these individuals a collective behaviour may emerge over time and certain patterns may develop. Examples include pedestrian, evacuation and traffic models, opinion formation, wealth distribution, chemotaxis and flocking/swarming. The aim of the mini-symposium is to highlight recent advances in modelling, analysis, numerics and optimal control of kinetic and PDE models in this area.
• Organizer(s) : Marie-Therese Wolfram, Bertram Düring
• Speakers Info :
• Martin Burger (Friedrich-Alexander-Universität Erlangen-Nürnberg)
• Lisa Maria Kreusser (University of Bath)
• Chiara Segala (RWTH Universität Aachen)
• Giacomo Dimarco (Universita di Ferrara)
• Mattia Zanella (University of Pavia)
• Heather Zinn Brooks (Harvey Mudd College)
• Giulia Bertaglia (Universita di Ferrara)
• Giacomo Albi (Universita di Verona)
• Contact Person : Bertram Düring (University of Warwick)

[00059] Numerical solutions for differential equations: Probabilistic approaches and statistical perspectives

• Abstract : Many applications involve predicting the dynamics of a system by solving differential equations. Due to the increased demand for predictive power of these models, numerically solving a differential equation is now often combined with parameter estimation or uncertainty quantification. This paradigm shift drives the need for probabilistic approaches that are compatible with statistical inference, or that improve the robustness of inference to possibly inaccurate mathematical models. The talks in this minisymposium will present recent work that addresses these challenges for deterministic ODEs and PDEs, by using ideas from numerical analysis, probability theory, and Bayesian statistical inference.
• Organizer(s) : Han Cheng Lie, Takeru Matsuda, Yuto Miyatake
• Speakers Info :
• Oksana Chkrebtii (The Ohio State University)
• Connor Duffin (The University of Cambridge)
• Toni Karvonen (The University of Helsinki)
• Chris Oates (Newcastle University)
• Yanni Papandreou (Imperial College London)
• Tim Sullivan (The University of Warwick)
• Onur Teymur (The University of Kent)
• Yue Wu (University of Strathclyde)
• Contact Person : Yuto Miyatake (Osaka University)

[00060] Mathematical approaches to collective phenomena

• Abstract : The contributions of the mathematics to understanding of collective phenomena such as the fluid dynamics are certainly conspicuous. In particular, developments of the numerical method to solve PDE, PDE analysis of the hydrodynamic equation or Boltzmann equation by applied mathematicians are quite significant in the industry. This minisymposium invites four eminent researchers, who study various types of collective phenomena such as the gas dynamics, biological swarming, electrically charged fluids and so on. Their presentations will indicate new insights and inspirations in the future applied mathematics.
• Organizer(s) : Ryosuke Yano
• Speakers Info :
• Aleksandar Donev (Courant Institute, New York University)
• Jan Haskovec ( King Abdullah University of Science and Technology, Thuwal, KSA)
• Liu Liu (The Chinese University of Hong Kong)
• Manuel Torrilhon (RWTH Aachen University)
• Contact Person : Ryosuke Yano

[00061] Reaction-Diffusion models in Ecology and Evolution

• Abstract : Reaction-diffusion equations have been a powerful tool in studying population dynamics since the seminal works of Fisher, Kolmogorov-Petrovsky-Piskunov, Turing, and many others. In recent years many important questions from ecology, such as habitat fragmentation and shifting environment change, and life sciences, such as tumor growth, required new mathematical models and gave rise to challenging problems in analysis. This mini-symposium aims to showcase some recent development in the theory of reaction-diffusion equations and its applications to some emerging ecological and evolutionary questions.
• Organizer(s) : King-Yeung Lam, Yuan Lou, Dongyuan Xiao, Maolin Zhou
• Speakers Info :
• Dongyuan XIAO (Meiji University)
• Yuan LOU (Shanghai Jiao Tong University)
• Maolin ZHOU (Nankai University)
• Idriss MAZARI (Paris Dauphine Université)
• Chiun-Chuan CHEN (National Taiwan University)
• King-Yeung LAM (The Ohio State University)
• Ryunosuke MORI (Meiji University)
• Thomas GILETTI (University of Lorraine)

[00062] Analysis and computation of vortical flows

• Abstract : Vortex dynamics is a classical but ever active topic in the study of fluid flows. Despite huge efforts to understand vortex phenomena, many aspects are still not properly understood. In this minisymposium, Elling and Jeong are presenting mathematical and rigorous results of self-similar vortices. Xu will describe computations of elliptical vortices. Kim and Krishnamurthy will discuss point vortex dynamics and generalized geostrophic models. Nitsche and Sohn speak on computational issues for interfacial flows and application to swimming. Krasny will present computations of plasma vortices in the Vlasov-Poisson equation.
• Organizer(s) : Sun-Chul Kim, Robert Krasny, Sung-Ik Sohn
• Speakers Info :
• Volker Elling (Academia Sinica)
• In-Jee Jeong (Seoul National University)
• Sun-Chul Kim (Chung-Ang University, Seoul, Korea (Republic of))
• Robert Krasny (University of Michigan)
• Vikas Krishnamurthy (IIT Hyderabad)
• Monika Nitsche (University of New Mexico)
• Sung-Ik Sohn (Gangneung-Wonju National University)
• Ling Xu (North Carolina Agricultural and Mechanical State University)

[00063] Recent Advances on Nonlocal Interaction Models

• Abstract : From biological swarming and n-body dynamics to self-assembly of nanoparticles, crystallization and
granular media, many physical and biological systems are described by mathematical models involving nonlocal interactions. Mostly due to their purely nonlocal character, these models present mathematical challenges that require a combination of different techniques of applied mathematics. With this scientific session we aim to bring together young researchers and leading scholars who study nonlocal interaction models and their applications. In particular, we hope that by inviting applied and pure analysts we will create a platform that will lead to a more complete and reliable understanding of these models.
• Organizer(s) : Razvan Fetecau, Ihsan Topaloglu
• Speakers Info :
• Razvan C Fetecau (Simon Fraser University, Canada)
• Ihsan Topaloglu (Virginia Commonwealth University)
• Maco Di Francesco (University of L’Aquila)
• Theodore Kolokolnikov ( Dalhousie University)
• Raluca Eftimie (University of Franche-Comté)
• Klemens Fellner (University of Graz)
• Robert McCann (University of Toronto)
• Hansol Park (Simon Fraser University)
• Hui Huang (University of Graz)
• Annalisa Cesaroni (University of Padova)
• Lia Bronsard (McMaster University)
• Andrew Bernoff (Harvey Mudd College)

[00065] Recent Advances on Stochastic Hamiltonian Dynamical Systems

• Abstract : The generalization of classical geometric mechanics $($ including the study of symmetries, Hamiltonian mechanics and Lagrangian, and the Hamilton-Jacobi theory, etc.$)$ to the context of stochastic dynamics has drawn more and more attention in recent decades. One of the important motivations behind some pieces of work related to this field is establishing a framework adapted to the handling of mechanical systems subjected to random perturbations or whose parameters are not precisely determined and are hence modeled as realizations of a random variable. This minisymposium will bring together speakers with diverse but related background, discussing recent developments on general topics of stochastic dynamical systems with Hamiltonian or other geometric structure.
• Organizer(s) : Pingyuan Wei, Qiao Huang
• Speakers Info :
• Pingyuan Wei (Beijing International Center for Mathematical Research, Peking University)
• Qiao Huang (University of Lisbon)
• Wei Wei (Huazhong University of Science and Technology)
• Ying Chao (Xi’an Jiaotong University)
• Jianyu Hu (Nanyang Technological University)

[00068] Models for collective behavior and emergent phenomena

• Abstract : Emergent structures are patterns arising via collective actions of many individual entities. In the context of life sciences, they range from the subatomic level to the entire anthropo- and biosphere. The main objective of this minisymposium is to bring together experts working in diverse areas of modeling of collective behavior and emergent phenomena, employing ordinary, stochastic, partial and functional differential equations. Applications include self-organizing systems of interacting agents, flocking and swarming, pedestrian dynamics, and network dynamics. The minisymposium will cover mathematical modeling, analytical and numerical results, focusing on applications and gaining new insights into the principles of emergence and self-organization.
• Organizer(s) : Lisa Kreusser, Jan Haskovec
• Speakers Info :
• Sara Merino-Aceituno (University of Vienna)
• Jan-Frederik Pietschmann (University of Chemnitz)
• Angelika Manhart (University College London)
• Dietmar Oelz (University of Queensland)
• Anna Zhigun (Queen’s University Belfast)
• Hong Duong (University of Birmingham)
• Simone Portaro (KAUST)
• Pranav Singh (University of Bath)
• Jonas Latz (Heriot-Watt University)
• Contact Person : Lisa Maria Kreusser (University of Bath)

[00072] Evolution equations in materials science: Multiscale modeling, analysis, and simulation

• Abstract : Materials science has become increasingly efficient and contributes with new products. The increased material functionality relies on good experimental grip on microstructure evolution. Mathematics plays a crucial role in using experimental understanding to shed light where experiments are inaccessible. Mathematical challenges are though unsolved. Elastic porous materials have many practical applications, however the mathematical treatment of elasticity equations for realistic media is underdeveloped as the small-strains-hypothesis needs to be adopted while the porosity of real materials (e. g. when biology is involved) disagrees. Our symposium focuses on the development of advanced mathematical methodologies applicable to materials having complex microstructures.
• Organizer(s) : Toyohiko Aiki, Adrian Muntean
• Speakers Info :
• Chiharu Kosugi (Japan Women’s University)
• Akiko Morimura (Japan Women’s University)
• Kota Kumazaki (Nagasaki University)
• Yusuke Murasee (Meijo University)
• Yoshiho Akagawa (National Institute of Technology Gifu College)
• Grigor Nika (Karlstad University)
• Michael Eden (Karlstad University)
• Shuji Yoshikawa (Oita University)
• David Wiedemann (University of Augsburg)
• Contact Person : Toyohiko Aiki (Japan Women’s Univeristy)

[00082] Development in fractional diffusion equations: models and methods

• Abstract : The mathematical study of diffusion and its applications has played an important role in modern mathematics. The study of fractional diffusion has become a new trend as a mathematical framework to describe anomalous diffusion. Indeed, in the real world anomalous diffusion is common. We wish to present the
last and novel techniques regarding modeling with FDE and its mathematical analysis. In particular we are interested in modeling with the help of FDE, the
resulting IBV problems, including free boundary problems. We also pursue the study of the qualitative properties of solutions including self-similar and
fundamental solutions.
• Organizer(s) : Sabrina Roscani, Piotr Rybka
• Speakers Info :
• Vaughan Voller (The University of Minnesota)
• Łukasz Płociniczak (Wrocław University of Science and Technology)
• Gianni Pagnini ( Basque Center for Applied Mathematics)
• Sabrina Roscani (CONICET – Universidad Austral)
• Masahiro Yamamoto (The University of Tokyo)
• Serena Dipierro (The University of Western Australia)
• Katarzyna Ryszewska (Warsaw University of Technology)
• Petra Wittbold (University of Duisburg)

[00084] Asymptotic approaches to multi-scale PDEs in mathematical physics

• Abstract : Nonlinear PDEs play an important role in modelling many important phenomena observed in physics. One of the main challenges is that the physical problem at hand usually manifests its properties on a hierarchy of scales: the behaviour of the system at the large scale can only be understood by accessing a number of finer scales. Discovering the numerous scales in the governing equations and describing the singularities which appear in asymptotic processes give rise to exciting and difficult research problems (e.g. singular limits in fluid mechanics, macroscopic closures of kinetic models, or incompressible limits for tissue growth models).
• Organizer(s) : Tomasz Dębiec, Agnieszka Świerczewska-Gwiazda
• Speakers Info :
• Piotr Gwiazda (Polish Academy of Sciences)
• Noemi David (Sorbonne Université)
• Emil Wiedemann (Ulm University)
• Athanasios Tzavaras (KAUST)
• Piotr Mucha (University of Warsaw)
• Didier Bresch (Université Savoie Mont-Blanc)
• Eric Lars Hientzsch (University of Bielefeld)
• Slim Ibrahim (University of Victoria)
• Contact Person : Tomasz Dębiec (Sorbonne Université)

[00085] Singular Problems in Mechanics

• Abstract : The problem area addresses non-smooth problems stemming from mechanics and described by partial differential equations, inverse and ill-posed problems, non-smooth and nonconvex optimization, optimal control problems, multiscale analysis and homogenization, shape and topology optimization. We focus but are not limited to singularities like cracks, inclusions, aerofoils, defects and inhomogeneities arising in composite structures and multi-phase continua, which are governed by systems of variational equations and inequalities. The minisymposium objectives are directed toward sharing advances attained in the mathematical theory, numerical methods, and application of non-smooth problems.
• Organizer(s) : Victor Kovtunenko, Hiromichi Itou, Alexander Khludnev, Evgeny Rudoy
• Speakers Info :
• Goro Akagi (Tohoku University)
• Sayahdin Alfat (Halu Oleo University)
• Alemdar Hasanov-Hasanoglu (Izmir University)
• Hiromichi Itou (Tokyo University of Science)
• Takahito Kashiwabara (The University of Tokyo)
• Alexander Khludnev (Novosibirsk State University)
• Masato Kimura (Kanazawa University)
• Victor Kovtunenko (University of Graz)
• Nyurgun Lazarev (North-Eastern Federal University in Yakutsk)
• Hayk Mikaelyan (University of Nottingham Ningbo)
• Evgeny Rudoy (Lavrentyev Institute of Hydrodynamics of the Siberian Branch of the Russian Academy of Sciences)
• Sergey Sazhenkov (Altai State University)

[00086] Recent advances in the theory of rogue waves: stability and universality of wave pattern formation

• Abstract : In the last decade, there have been some new developments in the study of rogue-waves of nonlinear integrable evolutionary equations, such as their long-time asymptotics, their stability, their universal patterns, and their onset mechanisms. This minisymposium aims to bring together a group of world-leading researchers to discuss the theoretical, computational, and experimental aspects of this type of extreme wave phenomena.
• Organizer(s) : Bao-Feng Feng; Peter Miller
• Speakers Info :
• Peter Miller (University of Michigan)
• Baofeng Feng (University of Texas Rio Grande Valley )
• Yasuhiro Ohta (Kobe University)
• Jianke Yang (University of Vermont)
• Dmitry Pelinovsky (McMaster University)
• Jingsong He (Shenzhen University)
• Zhenyun Qin (Fudan University)
• Junchao Chen (Lishui University)
• Deniz Bilman (University of Cincinati )
• Bing-Ying Lu (University of Bremen)
• Xiaoen Zhang (South China University of Technology)
• Derchyi Wu (Institute of Mathematics, Acamedia Sinica)

[00087] Intersection of Machine Learning, Dynamical Systems and Control

• Abstract : In recent years, the intersection of machine learning, dynamical systems and control has created some new excitement in different disciplines. On the one hand, machine learning-based algorithms have opened up new opportunities in studying dynamical systems and control problems, particularly in high dimensions. On the other hand, the controlled dynamical system perspective of deep learning has also brought new insight in machine learning. This minisymposium will bring together experts in different areas to explore these new exciting opportunities. The goal is to stimulate researchers from different communities to think rigorously across disciplines and move toward new questions.
• Organizer(s) : Jiequn Han, Qianxiao Li, Xiang Zhou
• Speakers Info :
• Dante Kalsie (Imperial College London)
• Boumediene Hamzi (Imperial College London)
• Phillip Yam (The Chinese University of Hong Kong)
• Molei Tao (Georgia Institute of Technology)
• Lorenz Richter (Freie Universität Berlin)
• Bin Dong (Peking University)
• Traian Iliescu (Virginia Tech)
• Jan Stenner (Universität Paderborn)
• Contact Person : Jiequn Han (Flatiron Institute, Simons Foundation)

[00088] Machine learning in infinite dimensions

• Abstract : Lifting high-dimensional problems to an infinite-dimensional space and designing algorithms in that setting has been a fruitful idea in many areas of applied mathematics, including inverse problems, optimisation, and partial differential equations. This approach is sometimes referred to as ”optimise-then-discretise” and allows one to develop algorithms that are inherently dimension- and discretisation-independent and typically perform better in high-dimensional problems. In the context of machine learning, this approach has gained significant attention in the context of operator learning. This workshop explores approaches that involve the approximation of functions with values in an infinite-dimensional space and their connections to partial differential equations.
• Organizer(s) : Bamdad Hosseini, Yury Korolev, Jonas Latz
• Speakers Info :
• Houman Owhadi (California Institute of Technology)
• Elizabeth Qian (Georgia Institute of Technology)
• Ding-Xuan Zhou (University of Sydney)
• Lei Wu (Peking University)
• Nick Dexter (Florida State University)
• Pau Batlle Franch (California Institute of Technology)
• Emilia Magnani (University of Tübingen)
• Lénaïc Chizat (École polytechnique fédérale de Lausanne)
• Tamara Grossmann (University of Cambridge)
• Lu Lu (University of Pennsylvania)
• Anna Korba (École nationale de la statistique et de l’administration économique Paris)
• Franca Hoffmann (University of Bonn)
• Contact Person : Yury Korolev (University of Bath)

[00090] Recent advances in the theory of rogue waves: one- and multi-component models in 1+1 and 2+1 dimensions

• Abstract : Recent advances in the theory of nonlinear waves have allowed a better understanding of the underlying mechanisms leading to the formation of space-time localised extreme waves, often referred in the literature as rogue waves, in systems modelled by nonlinear PDEs of integrable and non-integrable type. Many theoretical questions remain open as for a qualitative and quantitative description of the evolution of a localised or periodic perturbation on a given background. The aim of this minisymposium is to gather world-leading experts in the field to discuss the most recent results about the onset and recurrence of rogue waves in nonlinear media.
• Organizer(s) : Prof Sara Lombardo (Heriot-Watt University, UK), Dr Matteo Sommacal (Northumbria University, UK)
• Speakers Info :
• Annalisa Calini (College of Charleston)
• Marcos Caso-Huerta (Northumbria University)
• Amin Chabchoub (Kyoto University)
• Piotr Grinevich (Landau Institute)
• Theodoros Horikis (University of Ioannina)
• Priscila Leal da Silva (Loughborough University)
• Sara Lombardo (Heriot-Watt University)
• Miguel Onorato (University of Turin)
• Paolo M. Santini (University of Rome “La Sapienza”)
• Constance Schober (University of Central Florida)
• Matteo Sommacal (Northumbria University)
• Otis Wright (Cedarville University)

[00107] Randomized numerical linear algebra

• Abstract : Randomized numerical linear algebra (RNLA) is an emerging field of computational mathematics that has enabled matrix computations of unprecedented scale. Given the increasing size of data sets, RNLA is often the only way to reasonably perform computations. In addition to speed, RNLA provides solutions with exceptional accuracy and robustness. Success stories in RNLA include low-rank approximation, least-squares problems, and trace estimation. In addition, the field has witnessed recent progress in linear systems, eigenvalue problems, and tensor approximation. This minisymposium aims to bring together researchers working in RNLA to present recent progress, discuss challenges, and share ideas.
• Organizer(s) : Ethan Epperly, Per-Gunnar Martinsson, Yuji Nakatsukasa, Robert Webber
• Speakers Info :
• Nicolas Boullé (University of Oxford)
• Tyler Chen (New York University)
• Jocelyn Chi (University of California, Los Angeles)
• Ethan Epperly (California Institute of Technology)
• Zachary Frangella (Stanford University)
• Eric Hallman (North Carolina State University)
• Joe Kileel (University of Texas at Austin)
• Maike Meier (University of Oxford)
• Riley Murray (University of California, Berkeley)
• Taejun Park (University of Oxford)
• Katherine Pearce (University of Texas at Austin)
• Robert Webber (California Institute of Technology)

[00108] Recent Advances on Kinetic and Related Equations

• Abstract : Kinetic theory has been expanding its frontier and emerged as promising in various fields of engineering and science. At the same time, it has been a source of unsolved mathematical problems at fundamental levels, which are still actively studied. This mini-symposium aims at bringing in international experts on mathematical analysis, modeling, and computation of kinetic theory and related topics, in order to present the field’s state-of-the-art results and foster future academic exchanges and collaborations among researchers from different sub-fields. We propose three sessions which include 12 speakers from different generations of the field and 2 leading experts Tai-Ping Liu and Shih-Hsien Yu as chairpersons who can enhance the communication of the groups.
• Organizer(s) : Jin-Cheng Jiang, Satoshi Taguchi, Hai-Tao Wang, Seok-Bae Yun
• Speakers Info :
• I-Kun Chen (National Taiwan University)
• Ling-Bing He (Tsinghua University)
• Jin-Woo Jang (Pohang University of Science and Technology)
• Doheon Kim (Hanyang University)
• Hung-Wen Kuo (National Cheng Kung University)
• Donghyun Lee (Pohang University of Science and Technology)
• Hai-Liang Li (Capital Normal University)
• Shota Sakamoto (Tokyo Institute of Technology)
• Francesco Salvarani (Leonardo da Vinci University Center (Paris) & University of Pavia (Pavia))
• Shigeru Takata (Kyoto University)
• Kung-Chien Wu (National Cheng Kung University)
• Xiong-Tao Zhang (Huazhong University of Science and Technology)
• Contact Person : Haitao Wang (Shanghai Jiao Tong University)

[00110] Computation on Supersingular and Superspecial Curves and its Applications

• Abstract : Supersingular and superspecial algebraic curves have been studied in coding theory and cryptography for the last few decades. The applications are based on explicit constructions and computational aspects of such algebraic curves, which give novel and fascinating mathematical challenges. Interestingly, we have different kinds of problems depending on the genus of curves. The supersingular genus 1 curves, i.e., elliptic curves, are a central ingredient in quantum-resistant isogeny-based cryptography. A series of recent research shows that the security of the cryptosystems is closely related to arithmetic on superspecial curves of higher genera, whose study is the main topic in this minisymposium.
• Organizer(s) : Katsuyuki Takashima
• Speakers Info :
• Katsuyuki Takashima (Waseda University)
• Tomoki Moriya (The University of Tokyo)
• Momonari Kudo (The University of Tokyo)
• Ryo Ohashi (Yokohama National University)

[00114] Computational Biology

• Abstract : Besides the traditional (experimental) and theoretical biology, computational biology is the third biology. Its mission is to visualize the activities of living things on the screen to understand their backgrounds theoretically and to predict future status for applications. For this purpose, experimental, data, and simulation sciences are applied, but mathematical formulae are obviously necessary. Computational biology is now widely spreading as a new challenge of industrial and applied mathematics. This minisymposium focuses on recent developments in computational biology.
• Organizer(s) : Takashi Suzuki
• Speakers Info :
• Clair Poignard (Inria Bordeaux-Sud Ouest, University of Bordeaux, Institut Math. Bordeaux, CNRS 5251)
• Shingo Iwami (Nagoya University)
• Marwa Akao (Nagoya University)
• Raiki Yoshimura (Nagoya University)
• Masaharu Nagayama (Hokkaido University)
• Yueyuan Gao (Hokkaido University)
• Shin-Ichiro Ei (Hokkaido University)
• Yasushi Ishikawa (Ehime University)
• Takanori Nakamura (The University of Tokyo)
• Hiroshi Haeno (Tokyo University of Science)
• Mark Chaplain (University of St Andrews)
• Nikos Kavallaris (Karlstad University)
• Contact Person : Takashi Suzuki (Osaka University)

[00118] On mathematical modeling and simulation of droplets

• Abstract : The mathematical modeling and simulation of droplets is a basic and fundamental problem in the history of fluid mechanics. Droplets can undergo a variety of interesting nonlinear dynamics such as droplet coalescence/break up, electro-wetting, and traveling waves, etc, due to surface tension effects, substrate geometry and material, as well as external physical forces. This minisymposium will present recent advances in the modeling and simulation of droplets and focus on the mathematical challenges arising from different real-world applications.
• Organizer(s) : Hangjie Ji, Pejman Sanaei
• Speakers Info :
• Dominic Vella (University of Oxford )
• Anand Oza (New Jersey Institute of Technology)
• Reed Ogrosky (Virginia Commonwealth University)
• Hangjie Ji (North Carolina State University)
• Michael Siegel (New Jersey Institute of Technology)
• Radu Cimpeanu (University of Warwick)
• Marina Chugunova (Claremont Graduate University)
• Pejman Sanaei (Georgia State University)
• Mark Bowen (Waseda University)
• Yuan Gao (Purdue University)

[00134] Evolution Equations for Interacting Species: Applications and Analysis

• Abstract : This mini-symposium brings together leading experts in the field of systems of PDEs arising in the context of interacting particles. Steric effects and interactions between members of opposite or the same species typically lead to systems of nonlocal and cross-diffusion type. The interplay of degenerate parabolicity and nonlocalities leads to a myriad of interesting emergent behaviours including pattern formation and phase separation. At the same time, these systems pose a variety of challenging analytical mathematical problems including the dramatic loss of regularity at the onset of phase separation. Thus, new analytical techniques and reliable numerical methods are needed.
• Organizer(s) : Jan-Frederik Pietschmann, Markus Schmidtchen, Havva Yoldaş
• Speakers Info :
• Jan-Frederik Pietschmann (University of Augsburg)
• Alexandra Holzinger (Technical University of Vienna)
• Gissell Estrada-Rodriguez (Universitat Politecnica de Catalunya)
• Hideki Murakawa (Ryukoku University)
• Steffen Plunder (University of Vienna)
• Georg Heinze (Technische Universität Chemnitz)
• Havva Yoldas (Delft University of Technology)
• Julia I. M. Hauser (Technische Universität Dresden)
• Tomasz Dębiec (University of Warsaw)
• Laura Kanzler ( LJLL Sorbonne-Université)
• Alethea B. T. Barbaro (Delft university of Technology)
• Luca Alasio ( LJLL Sorbonne-Université)

[00135] Nonlinear PDEs and related diffusion phenomena

• Abstract : Diffusion equations have a primary role in the description and modeling of several physical phenomena. A classical prototype is the heat equation, deriving from Fourier’s law, which is by now a widely studied topic within the mathematical community, both in Euclidean and non-Euclidean frameworks such as manifolds or metric-measure spaces. In the last decades, many nonlinear and nonlocal versions of this equation and related ones have been proposed and analyzed, which gave rise to challenging mathematical problems. We aim at gathering international experts and talented young researchers that will discuss the most recent advances on the subject.
• Organizer(s) : Kazuhiro Ishige, Tatsuki Kawakami, Matteo Muratori
• Speakers Info :
• Kazuhiro Ishige (University of Tokyo)
• Matteo Bonforte (Universidad Autónoma de Madrid)
• Ki-Ahm Lee (Seoul National University)
• Elvise Berchio (Politecnico di Torino)
• Yohei Fujishima (Shizuoka University)
• Masahiko Shimojo (Tokyo Metropolitan University)
• Yannick Sire (Johns Hopkins University)
• Megumi Sano (Hiroshima University)
• Giulia Meglioli (Politecnico di Milano (from December at Bielefeld University, Germany))
• Qing Liu (Okinawa Institute of Science and Technology Graduate University)
• Davide Bianchi (Harbin Institute of Technology)
• Reika Fukuizumi (Tohoku University)
• Contact Person : Matteo Muratori (Politecnico di Milano (Italy))

[00137] Mathematical Aspects of Multiscale Phenomena in Materials and Complex Fluids

• Abstract : The mini-symposium will focus on mathematical aspects of multiscale phenomena in materials and complex fluids. New scientific problems along with novel mathematical techniques and computational tools have emerged from the study of multiscale phenomena, for example, in polycrystalline materials, biomaterials, flow through porous media, as well as liquid crystals, to name a few. The mini-symposium will bring together experts in the area of mathematical aspects of materials and complex fluids and will feature talks on the latest advances in the field that range from mathematical modeling and analysis of partial differential equations to algorithm design, simulation and data analysis.
• Organizer(s) : Yekaterina Epshteyn, Chun Liu, Masashi Mizuno
• Speakers Info :
• Weizhu Bao (National University of Singapore)
• Yury Grabovsky (Temple University)
• Yekaterina Epshteyn (University of Utah)
• Arkadz Kirshtein (Tufts University)
• Masashi Mizuno (Nihon University)
• Kaitlin O’Dell (University of Utah)
• Malgorzata Peszynska (Oregon State University)
• Keisuke Takasao (Kyoto University)
• Yang Xiang (Hong Kong University of Science and Technology)
• Qing Xia (KTH)
• Yiwei Wang (University of California Riverside )
• Masaaki Uesaka (University of Tokyo)

[00138] Inverse Problems for Partial Differential Equations and Related Topics

• Abstract : Inverse problems for partial differential equations (PDEs) concern recovery of unknown coefficients or geometries/topologies within the equations by knowledge of certain observables. These problems sit at the intersection of mathematical analysis, PDE theory, and scientific computing, with broader application to modern imaging science and technology.

This minisymposium aims to highlight recent advances in inverse problems for PDEs. It will bring together international scientific researchers to discuss recent developments and emerging challenges in this fast-evolving field. Major topics include (but not limited to) (1) inverse problems in wave-based imaging; (2) integral geometry and PDEs; (3) inverse scattering theory; (4) data-driven inverse methods for PDEs.

• Organizer(s) : Huaian Diao, Hongyu Liu, Yang Yang
• Speakers Info :
• Youjun Deng (Central South University)
• Yukun Guo (Harbin Institute of Technology)
• Hongjie Li (The Chinese University of Hong Kong)
• Shiqi Ma (Jilin University)
• Guanghui Zheng (Hunan University)
• Contact Person : Yang Yang (Michigan State University)

[00140] Interacting particle systems: modeling, learning and applications

• Abstract : Systems of interacting particles or agents are ubiquitous in science and technology, with new theory and applications developing at a rapid pace. This mini-symposium aims at a cross-fertilization of areas in the study of topics in interacting particle systems, including, but not limited to: their analysis, computational techniques, parametric and nonparametric inference problems, control, interacting particles on graphs, use of interacting particle-based methods in optimization and neural networks, modeling and applications.
• Organizer(s) : Fei Lu, Mauro Maggioni
• Speakers Info :
• David Bortz (University of Colorado Boulder)
• Grigorios Pavliotis (Imperial University)
• Pierre-Emmanuel Jabin (Penn State University)
• Xiaohui Chen (University of Illinois at Urbana-Champaign)
• Sui Tang (University of California, Santa Barbara)
• Mauro Bonafini (University of Verona)
• Karthik Elamvazhuthi (University of California, Riverside)
• Lei Li (Shanghai Jiao Tong University)
• Contact Person : Fei Lu (Johns Hopkins University)

[00143] Recent advances in stochastic optimal control and contract theory

• Abstract : The aim of this session is to bring together some of the most active junior researchers in the areas of stochastic optimal control, with an emphasis on applications to contract theory and principal-agent problems. It will be a perfect and timely opportunity to take stock of the recent progresses in these very trendy topics, as well as to highlight the deep links that they share. In particular, a specific attention will be put on relationships with mean-field and Stackelberg games, McKean-Vlasov optimal control, and time-inconsistent optimal control problems.
• Organizer(s) : Dylan Possamaï
• Speakers Info :
• Emma Hubert (Princeton University)
• Alejandro Rivera (University of Texas at Dallas)
• Mehdi Talbi (ETH Zürich)
• Nicolàs Hernández Santibáñez (Universidad de Chile)
• Contact Person : Dylan Possamaï (ETH Zürich)

[00151] Recent trends in SHM: damage modeling and optimal experimental design from a mechanical and mathematical point of view

• Abstract : Structural and mechanical systems like bridges, buildings and defense systems play an essential role in modern societies. The maintenance of these structures must provide their safety and prevent the loss of life but at the same time be cost-efficient. Usually, the monitoring issue has been tackled from an engineering point of view. Consequently, the number of possible problem-solving algorithms is drastically reduced. In this minisymposium, the approaches from a mathematical and mechanical point of view are presented. These lead from methods for optimal sensor placements and applications of shape optimization to numerical simulations of damage detection, evolution, and prognosis.
• Organizer(s) : Kathrin Welker, Natalie Rauter
• Speakers Info :
• Volker Schulz (Trier University)
• Olga Weiß (Helmut-Schmidt-University/University of the Federal Armed Forces Hamburg)
• Carol Featherston (Cardiff University)
• Lukas Vierus (Saarland University)
• Rasoul Najafi Koopas (Helmut-Schmidt-University/University of the Federal Armed Forces Hamburg)
• Carmen Gräßle (Technische Universität Braunschweig)
• Nicolai Simon (Universität Hamburg)
• Tim Suchan (Helmut Schmidt University/University of the Federal Armed Forces Hamburg)
• Contact Person : Natalie Rauter

[00153] Recent Advances on Inverse Analysis

• Abstract : In inverse analysis, unknown design variables and parameters are calculated so as to satisfy observed values and design standard values, and this kind of analysis is widely performed in design problems, i.e., shape optimization and topology optimization problems, and parameter identification problems. The adjoint variable method, the direct differentiation method, the Kalman filter, etc. are generally employed to solve these problems. However, the solution may not be appropriately calculated unless special methods are used. In this mini symposium, the purpose is to discuss new numerical methods and considerations to solve problems in inverse analysis.
• Organizer(s) : Takahiko Kurahashi, Jin-Xing Shi, Masayuki Kishida, Eiji Katamine
• Speakers Info :
• Takahiko Kurahashi (Nagaoka University of Technology)
• Jin-Xing Shi (Komatsu University)
• Masayuki Kishida (National Institute of Technology, Gifu College)
• Eiji Katamine (National Institute of Technology, Gifu College)

[00154] Homogenization of PDEs in domains with oscillating boundaries or interfaces

• Abstract : Homogenization is a mathematical way of understanding microscopic structure via macroscopic medium and hence has enormous applications in science and engineering fields, including material science, as heat diffusion, fluid flows, deformations, and biological applications as electrical conduction in tissues like nerve or hearth fibers. In this symposium, we consider two types of closely related homogenization problems: complex domains consisting of a fixed part and a rapidly oscillating part, and domains with oscillating interfaces with jump-conditions.
The aim of this minisymposium is to present recent results in these two important subjects by known specialists worldwide, and allow discussions opening new directions.
• Organizer(s) : Patrizia Donato, Akambadath K. Nandakumaran
• Speakers Info :
• Micol Amar ( Sapienza Università di Roma)
• Juan Casado-Díaz (University of Sevilla)
• Editha C. Jose (University of The Philippines Los Baños)
• Bidhan Chandra Sardar (IIT Ropar)
• Manuel Luna-Laynez (University of Sevilla)
• Maria Neuss-Radu (Universität Erlangen-Nürnberg)
• Carmen Perugia (Università del Sannio)
• Klas Pettersson (Chalmers University of Technology)
• Contact Person : Patrizia Donato (Univ Rouen Normandie, France)

[00164] Recent Advances in Direct and Inverse Problems in Mathematical Materials Science

• Abstract : In recent years, there has been a tremendous growth of activity in developing methods for materials-related phenomena occurring over multiple scales in time and space. This minisymposium focuses on multiscale modeling, analysis, and simulation of the problems arising in composites and other heterogeneous media. In particular, topics that will be discussed include but are not limited to asymptotic analysis such as homogenization, modeling of new materials, inverse problems, and computational tools. The purpose of this minisymposium is to encourage the exchange of ideas and networking among researchers working on the topics mentioned above.
• Organizer(s) : Lyudmyla Barannyk, Silvia Jimenez Bolanos, Yvonne Ou
• Speakers Info :
• Lyudmyla Barannyk (University of Idaho)
• Alexander Panchenko (Washington State University)
• Yvonne Ou (University of Delaware)
• Elena Cherkaev (University of Utah)
• Petr Plechac (University of Delaware)
• Ken Golden (University of Utah)
• Silvia Jimenez Bolanos (Colgate University)
• Yuliya Gorb (National Science Foundation)
• Robert Lipton (Louisiana State University)
• Shari Moskow (Drexel University)
• Anna Zemlyanova (Kansas State University)
• Yuri Godin (University of North Carolina at Charlotte)

[00170] Integrable systems, orthogonal polynomials and asymptotics

• Abstract : Interest in nonlinear dynamical systems has grown dramatically over the past half century. Profound advances have been fueled by the discovery of integrable systems that are applicable in a wide range of applications. In particular, nonlinear ODEs called the Painlev’ equations model applications in many fields, in particular in random matrix theory and growth processes. Their appearance in quantum gravity and orthogonal polynomial theory has led to widening interest in integrable discrete versions of these equations. This minisymposium will bring together recent developments in integrable systems, orthogonal polynomials and asymptotics with a view to describing new special functions.
• Organizer(s) : Nalini Joshi, Nobutaka Nakazono, Milena Radnovic, Da-jun Zhang,
• Speakers Info :
• Pieter Roffelsen (University of Sydney)
• Harini Desiraju (University of Sydney )
• Frank Nijhoff (University of Leeds)
• Jarmo Hietarinta (Turku University)
• David Gomez-Ullate (University of Cadiz)
• Kerstin Jordaan (University of South Africa)
• Tomas Lasic Latimer (University of Sydney)
• Xiangke Chang (Chinese Academy of Science)
• Kohei Iwaki (University of Tokyo)
• Ines Aniceto (University of Southhampton)
• Christopher Lustri (Macquarie University)
• Adri Olde Daalhuis (University of Edinburgh)
• Contact Person : Nalini Joshi (The University of Sydney)

[00172] On application of principle curvature distribution in local differential geometry

• Abstract : Recently, shape has become increasingly crucial in device and materials science. In this symposium, we will focus on principal curvature distributions in differential geometry and discuss examples where the principal curvature distributions play a crucial role. We take particular note of the curved carbon nanotubes discovered in the 2000s, and the manufacturing methods of curved surfaces in shipbuilding and other applications. Both seem unrelated at first glance, but from an applied mathematical point of view, the principal curvature distribution is analyzed by utilizing common mathematics. This symposium aims to discuss these issues from the standpoint of local differential geometry.
• Organizer(s) : Shigeki Matsutani, Yutaro Kabata, Yuta Ogata, Jun Onoe
• Speakers Info :
• Yutaro Kabata (Nagasaki University)
• Jun Onoe (Nagoya University)
• Shigeki Matsutani (Kanazawa University)
• Yuta Ogata (Kyoto Sangyo University)

[00176] Hyperbolic PDEs modelling non-Newtonian fluid flows

• Abstract : Since the beginning of continuum mechanics, the need to improve quantitative predictions of non-Newtonian flows continues.
The simulation of turbulence or of complex (non-homogeneous) fluids using good PDEs, in particular, remains an unsatisfied goal.
A major challenge is how to conciliate the conservation principles funding physics with quantitative observations.
A natural approach is to add dissipative relaxation terms in the hyperbolic PDEs resulting of conservation laws.
The goal of the minisymposium is to confront recent advances, with promising theoretical or numerical results, regarding hyperbolic PDEs plus relaxation sources for various non-Newtonian fluid flows.
• Organizer(s) : Sébastien Boyaval
• Speakers Info :
• Wen-An Yong (Tsinghua University)
• Yuxi Hu (China University of Mining and Technology)
• Martin Ferrand (Cerea, EDF R&D — Ecole des Ponts)
• Sergey Gavrilyuk (Aix-Marseille University)
• Contact Person : Sébastien Boyaval (Ecole des Ponts ParisTech)

[00178] Theoretical and Computational Progress on PDE-based Inverse Problems with Applications

• Abstract : Inverse problems for partial differential equations (PDEs) concern recovery of unknown coefficients or geometries/topologies within the equations by knowledge of certain observables. These problems sit at the intersection of mathematical analysis, PDE theory, and scientific computing, with broader application to modern imaging science and technology.

This minisymposium aims to highlight recent advances in inverse problems for PDEs. It will bring together international scientific researchers to discuss recent developments and emerging challenges in this fast-evolving field. Major topics include (1) inverse problems in wave-based imaging; (2) inverse scattering theory; (3) data-driven inverse methods, and their applications to medical and geophysical imaging.

• Organizer(s) : Huaian Diao, Hongyu Liu, Yang Yang
• Speakers Info :
• Yi-Hsuan Lin (National Yang Ming Chiao Tung University)
• Weishi Yin (Changchun University of Science and Technology)
• Xianchao Wang (Harbin Institute of Technology)
• Youjun Deng (Central South University)
• Yukun Guo (Harbin Institute of Technology)
• Hongjie Li (The Chinese University of Hong Kong)
• Shiqi Ma (Jilin University)
• Guang-Hui Zheng (Hunan University)
• Jiguang Sun (Michigan Technological University)
• Yimin Zhong (Auburn University)
• Contact Person : Yang Yang (Michigan State University)

[00179] Advances in forward and inverse problems of wave equations

• Abstract : The recent advances in wave equations and its fast numerical methods have provided useful tools for many applications ranging from nano-optics to medical imaging and geosciences. This mini-symposium will discuss the challenges in the formulations of forward and inverse problems, cutting edge fast algorithms and their efficient implementation and applications in various fields. At the same time, it will provide opportunities to promote interdisciplinary research collaboration between computational scientists and other fields.
• Organizer(s) : Carlos Borges, Jun Lai
• Speakers Info :
• Borges Carlos (University of Central Florida)
• Manas Rachh (Flatiron Institute)
• Leslie Greengard (Flatiron Institute, New York University)
• Jeremy Hoskins (University of Chicago)
• Travis Askham (New Jersey Institute of Technology)
• Mike O’Neil (New York University)
• Jun Lai (Zhejiang University)
• MinHyung Cho (University of Massachusetts – Lowell)
• Wangtao Lu (Zhejiang University)
• Felipe Vico (Universitat Politècnica de València)
• Lei Zhang (Zhejiang University of Technology)
• Gang Bao (Zhejiang University)

[00184] Recent advances in data-driven methods for inverse problems

• Abstract : The remarkable success of deep learning has led to a transformative impact on the research landscape of inverse problems in imaging. This mini-symposium aims to bring together researchers who have made exciting contributions to understanding the theoretical foundations and empirical performance of deep learning in various imaging applications. The talks will cover a wide range of topics such as deep regularization, Bayesian methods, microlocal analysis, learned optimization solvers, and robustness of reconstruction methods to distribution shift and adversarial attacks, making the sessions of sufficient interest to a broad audience, while encouraging an exchange of ideas to advance the state-of-the-art.
• Organizer(s) : Subhadip Mukherjee, Carola-Bibiane Schönlieb, Martin Burger
• Speakers Info :
• Carola-Bibiane Schönlieb (University of Cambridge)
• Yunseok Lee (Ludwig-Maximilians-Universität München)
• Samira Kabri (Friedrich-Alexander-Universität Erlangen-Nuernberg)
• Clemens Arndt (University of Bremen)
• Ulugbek Kamilov (Washington University in St. Louis)
• Rima Alaifari (ETH Zürich)
• Tatiana Bubba (University of Bath)
• Hong Ye Tan (University of Cambridge)
• Jong Chul Ye (Korea Advanced Institute of Science and Technology)
• Julie Delon (Universidad de París V Descartes)
• Jan Stanczuk (University of Cambridge)
• Georgios Batzolis (University of Cambridge)
• Angelica Aviles Rivero (University of Cambridge)
• Contact Person : Subhadip Mukherjee (University of Bath, UK)

[00185] AAA rational approximation: extensions and applications

• Abstract : The numerical computation of rational approximations has become much easier since the appearance of the AAA
algorithm in 2018. This minisymposium will explore some of the many things that have happened since then.
• Organizer(s) : Lloyd N. Trefethen
• Speakers Info :
• Lloyd Nicholas Trefethen (University of Oxford)
• Anil Damle (Cornell University)
• Victor Gosea (Max-Planck Institute Magdeburg)
• Daan Huybrechs (KU Leuven)
• Karl Meerbergen (KU Leuven)
• Athanasios Antoulas (Rice University)
• Serkan Gugercin (Virginia Tech)
• Olivier Sete (University of Greifswald)

[00187] Analysis and geometry of inextensible materials

• Abstract : There are many objects in the world around us that can be modeled as inextensible: pipes, chains, ribbons, cloth, whips, flagella, filaments, macromolecules, soft robot links, yarn, flags, cables in the ocean, galactic motion and octopus tentacles. In a certain sense, the inextensibility interpolates between rigid bodies and incompressible fluids but in comparison to them has many genuinely new difficulties due to the presence of unknown Lagrange multipliers. We intend to bring together some of the leading experts to discuss the modern ways to handle the analytical complexity of the PDE related to inextensible materials and the beautiful underlying geometry.
• Organizer(s) : Dmitry Vorotnikov
• Speakers Info :
• Soeren Bartels (University of Freiburg)
• Chun-Chi Lin (National Taiwan Normal University)
• Matteo Novaga (University of Pisa)
• Dmitry Vorotnikov (Universidade de Coimbra )

[00193] Adversarial robustness at the interface of analysis, geometry and statistics

• Abstract : Stability and robustness have emerged as essential properties for modern machine learning methods. In this three-part minisymposium, we gather researchers from mathematics, statistics, and computer science that have been driving the research in this field in a variety of directions, offering a platform for scientific exchange and aiming at sparking new collaborations in this vibrant and important field.

Some of the topics that will be covered by this mini-symposium include regularization methods and insights from variational calculus for training robust models, numerical methods for solving min-max problems, distributionally robust optimization, GANs, geometric insights on adversarial robustness, among others.

• Organizer(s) : Tim Roith, Nicolás García Trillos, Martin Burger
• Speakers Info :
• Leon Bungert (University of Bonn)
• Muni Sreenivas Pydi (University of Wisconsin – Madison)
• Ryan Murray (North Carolina State University)
• Matt Jacobs (Purdue University)
• José Blanchet (Stanford University)
• Natalie Frank (New York University)
• Po-Ling Loh (University of Cambridge)
• Cynthia Rush (Columbia University)
• Lukas Weigand (Friedrich-Alexander-Universität Erlangen-Nürnberg)
• Camilo García Trillos (University College London)
• Yulong Lu (University of Massachusetts Amherst)
• Krishnakumar Balasubramanian (University of California, Davis)
• Contact Person : Tim Roith (Friedrich-Alexander-Universität Erlangen-Nürnberg)

[00194] Recent Progress of Computational Electromagnetics

• Abstract : This minisymposium will feature the recent advances and challenges in the field of computational electromagnetics. The topics covered in the minisymposium will include (but be not limited to) novel numerical methods and techniques for solving electromagnetic partial differential equations, e.g., use of the extended finite element methods in eddy-current problem, and balancing domain decomposition method for large-scale parallel computation for electromagnetic fields.
• Organizer(s) : Takeshi Mifune, Tetsuji Matsuo, Takeshi Iwashita
• Speakers Info :
• Stéphane Clénet (Arts et Metiers Institute of Technology)
• Hiroshi Kanayama (Japan Women’s University)
• Shingo Hiruma (Kyoto University)
• Yasuhito Takahashi (Doshisya University)
• Contact Person : Takeshi Mifune (Kyoto University)

[00196] Recent development of mathematical geophysics

• Abstract : The purpose of this minisymposium is to interact with mathematicians working on geophysics with various recent topics: large time behavior of solutions, machine learning approach, flow behavior on manifolds and meteorological analysis. These each topics have long research history. However, the tendency of the recent studies seems to be a broader point of view, not only from each own research field but also from an interdisciplinary perspective.
• Organizer(s) : Tsuyoshi Yoneda
• Speakers Info :
• Quyuan Lin (University of California, Santa Barbara)
• Ryo Takada (University of Tokyo)
• Tatsuhiko Miura (Hirosaki University)
• Daisuke Takasuka (University of Tokyo)
• Contact Person : Tsuyoshi Yoneda (Hitotsubashi University)

[00201] Data-Driven Methods for Rough PDEs

• Abstract : Recently there has been an increased interest in applying data driven methods to learn partial differential equations (PDEs). For example, operator learning has been developed to learn maps between infinite-dimensional function spaces and has shown success in the context of smooth PDEs. However, these methods perform poorly in areas where PDEs are less well-behaved; for instance, when equations are parameterized by non-smooth functions or when the PDE involves stochasticity. This mini-symposium invites experts on novel methods for learning stochastic and ill-conditioned multiscale PDEs. Topics will include numerical methods for SPDEs, learning in multiscale settings, and advances in operator learning.
• Organizer(s) : Matthieu Darcy, Edoardo Calvello
• Speakers Info :
• Margaret Trautner (California Institute of Technology)
• Edoardo Calvello (California Institute of Technology)
• Matthieu Darcy (California Institute of Technology)
• Eric Chung (Chinese University of Hong Kong)
• Paul Bogdan (University of Southern California)
• Cristopher Salvi (Imperial College London)
• Matthew Colbrook (University of Cambridge)
• Chensen Lin (Fudan University)
• Sizhou Wu (Nanyang Technological University)
• Guanglian Li (University of Hong Kong)
• Roy Wang (California Institute of Technology)
• Bamdad Hosseini (University of Washington)

[00211] Mathematics of Geometric Deep Learning

• Abstract : Geometric deep learning has important applications in the fields of quantum computing, 3D perception, molecular designs, and the discovery of mathematical theorems. It takes account of properties such as invariance and equivariance. Many existing structure-aware deep networks lack rigorous theoretical foundations of desired properties in modeling, such as network stability, interpretability, and efficient computation. This workshop will gather researchers from mathematics and computer sciences to provide a forum to establish diverse mathematical theories for geometric deep learning, such as harmonic analysis, algebraic topology, algebraic geometry, combinatorics, differential geometry, differential equations, graph theory, approximation theory, statistics, and theoretical computer science.
• Organizer(s) : Yuguang Wang, Bingxin Zhou, Yuelin Wang
• Speakers Info :
• Gitta Kutyniok (Ludwig Maximilian University of Munich)
• Xiaosheng Zhuang (City University of Hong Kong)
• Dongmian Zou (Duke Kunshan University)
• Huan Xiong (Harbin Institute of Technology)
• Junyu Xuan (University of Technology Sydney)
• Junbin Gao (University of Sydney)
• Sho Sonoda (RIKEN)
• Francesco Di Giovanni (Twitter)
• Cristian Bodnar (University of Cambridge)
• Ningyuan Huang (Johns Hopkins University)
• Lin Liu (Shanghai Jiao Tong University)
• Challenger Mishra (University of Cambridge)
• Mengjia Xu (MIT)
• Yuguang Wang (Shanghai Jiao Tong University)

[00215] Mathematical Advances in the nonlinear PDEs from physics

• Abstract : The aim of this mini-symposium is to bring together experts in the area of nonlinear PDEs from physics, such as Euler-type equations and Boltzmann equation, to present their recent research results in theoretical analysis and applications in physics. In this mini-symposium, people are expected to exchange new ideas, to discuss challenging issues, to explore new directions and topics, and to foster new collaborations and connections.
• Organizer(s) : Renjun Duan, Xianpeng Hu, Tong Yang
• Speakers Info :
• Zhu Zhang (Hong Kong Polytechnic University)
• wei Xiang (City University of Hong Kong)
• Renjun Duan (Chinese University of Hong Kong)
• Tong Yang (Hong Kong Polytechnic University)
• Wenbin Zhao (Peking University)
• Zhi-An Wang (Hong Kong Polytechnic University)
• Wei-Xi Li (Wuhan University)
• Tao Wang (Wuhan University)
• Donghyun Lee (Postech)
• Moon-Jin Kang (KAIST)
• Contact Person : Xianpeng Hu (City University of Hong Kong)

[00216] Recent Advances on interfaces dynamics modeling and simulation

• Abstract : Dynamics of the interface, like deformation and reaction, play an important role in biology like cell aggregation, and industry like water-proof material. Modeling and simulation of the dynamics of the interface are challenging since multiphase-flow and multiphysics fields are evolved. Recently, machine learning-based methods like Neural networks are introduced to solve the obtained nonlinear coupled system more efficiently. The purpose of this symposium is to bring together researchers working on modeling, theory, and numerics for interface problems, to share the latest advances in the field, and to provide a forum for joint collaborations.
• Organizer(s) : Huaxiong Huang, Shixin Xu
• Speakers Info :
• Ming-Chih Lai (National Yang Ming Chiao Tung University Solving )
• Ping Lin (university of Dundee)
• Xiaobo Gong (Shanghai Jiao Tong University)
• Zhiliang Xu (University of Notre Dame)
• Wenrui Hao (Penn. State University )
• Zhen Zhang (Southern University of Science and Technology)
• Yiwei Wang (University of California, Riverside)
• Ming Zhong (Illinois Institute of Technology)
• Pei Liu (Florida Tech)
• Xuelian Bao (Beijing Normal University, Zhuhai)
• Zilong Song (utah state university)
• Yuzhe Qin (Shanxi University )
• Contact Person : Shixin Xu (Duke Kunshan Univeristy)

[00217] Integration of modeling and data analysis on molecular, cellular, and population dynamics in the life sciences

• Abstract : Systems biology approaches that integrate heterogeneous biological data in quantitative mathematical models are expected to facilitate a comprehensive understanding of complex biological systems. This A3 (China-Japan-Korea) mini-symposium will bring together Asian mathematicians working in the field of mathematical modeling and data analysis to share their cutting-edge research results on dynamic phenomena at all levels from molecular and cellular to population.
• Organizer(s) : Jae Kyoung Kim, Sungrim Seirin-Lee, Lei Zhang
• Speakers Info :
• Wei Lin (Fudan University)
• Lei Zhang (Peking University)
• Suoqin Jin (Wuhan University)
• Yanxiang Zhao (George Washington University )
• Masatoshi Nishikawa (Hosei University)
• Sungrim Seirin-Lee (Kyoto University)
• Sakurako Tanida (The University of Tokyo)
• Keita Iida (Osaka University)
• Jae Kyoung Kim (KAIST/IBS)
• Jinsu Kim (Postec)
• Kresimir Josic (University of Houston)
• Hyun Kim (IBS)

[00220] Reaction-Diffusion Systems and Applications in life Sciences

• Abstract : In this minisymposium we will focus on recent progress about the theory and applications of
reaction-diffusion systems. A special focus will on the mathematical modelling and analysis for evolution systems with applications in biological, ecological, health and medical sciences such as modelling infectious diseases and tumor growth in life sciences. The minisymposium will invite experts in the field to report their recent results on these subjects.
• Organizer(s) : Hong-Ming Yin, Takashi Suzuki, Yihong Du
• Speakers Info :
• Jeffrey Morgan (University of Houston)
• Thomas Hillen (University of Alberta)
• Bei Hu (University of Ntre Dame)
• Bao Quo Tang (University of Graz)
• Kazuo Yamazaki (Texas Tech University)
• Micahel Ward (University of British Columbia)
• Contact Person : Hong-Ming Yin (Washington State University)

[00221] Analysis of Fluid Dynamics and Free Boundary Problems

• Abstract : This mini-symposium will focus on the analysis of fluid dynamics and free boundary problems including the geometric evolution equations. We will put particular emphasis on the study of existence, uniqueness, regularity, global existence and stability, singularity formation of the modeling equations and the motion of free interfaces in Euclidean spaces or on manifolds. The study of fluid dynamics and free boundary problems have profoundly impacted many applied fields such as physics, biology and material sciences. Thus the analysis of these problems provides a critical and rigorous mathematical descriptions of the corresponding physical phenomena.
• Organizer(s) : Changyou Wang, Yuanzhen Shao
• Speakers Info :
• Gieri Simonett (Vanderbilt University)
• Marcelo Disconzi (Vanderbilt University)
• Yoshihiro Shibata (Waseda University)
• Jiahong Wu (Oklahoma State University)
• Yong Yu (The Chinese University of Hong Kong)
• Tianling Jin (Hong Kong University of Science and Technology)
• Patrick Guidotti (University of California at Irvine)
• Joachim Escher (Leibniz University Hannover )
• Xianpeng Hu (City University of Hong Kong)
• Dehua Wang (Pittsburgh University)
• Mathias Wilke (Martin Luther University Halle-Wittenberg)
• Yuanzhen Shao (University of Alabama)

[00223] Stochastic optimization and stochastic variational inequalities

• Abstract : Stochastic optimization and stochastic variational inequalities are important mathematical tools for decision-making problems and equilibrium problems under uncertainty. This mini-symposium brings several researchers in stochastic optimization and stochastic variational inequalities together and offers an opportunity to discuss the latest developments.
• Organizer(s) : Hailin Sun, Chao Zhang
• Speakers Info :
• Chao Zhang (Beijing Jiaotong University)
• Dali Zhang (Shanghai Jiao Tong University)
• Jie Jiang (Chongqing University)
• Hailin Sun (Nanjing Normal University)

[00232] Theoretical foundations and algorithmic innovation in operator learning

• Abstract : Many interesting phenomena in science and engineering involve operators mapping functions to functions. The application of data-driven tools from machine learning to scientific computing has thus given rise to the rapidly emerging field of operator learning. Despite encouraging practical successes, our understanding of these methods is still in its infancy, leaving important open questions to be addressed, including approximation guarantees, learning in data-scarce regimes, and understanding the limitations of current approaches and overcoming them. This minisymposium brings together researchers at the intersection of machine learning, approximation theory and PDEs to discuss theoretical foundations and recent algorithmic developments in this field.
• Organizer(s) : Samuel Lanthaler, Jakob Zech
• Speakers Info :
• Hao Liu (Hong Kong Baptist University)
• Paris Perdikaris (University of Pennsylvania)
• Tom O’Leary-Roseberry (University of Texas at Austin)
• Tim De Ryck (ETH Zurich)
• Nikola Kovachki (NVIDIA)
• Zecheng Zhang (Purdue University)
• Christoph Schwab (ETH Zurich)
• Gitta Kutyniok (Ludwig-Maximilians-Universität München)
• Wuzhe Xu (University of Massachusetts Amherst)
• Jakob Zech (Universität Heidelberg)
• Samuel Lanthaler (California Institute of Technology)

[00234] Differential Galois Theory and Integrability of Dynamical Systems

• Abstract : The main objective of this minisymposium is to bring together researchers working on differential Galois theory and integrability of dynamical systems and to discuss recent results on the related topics containing the following:
– Developments of differential Galois theory in dynamical systems
– Integrability of dynamical Systems and PDE’s
– Integrability in quantum mechanics and spectral theory
– Galois approach to nonintegrability
• Organizer(s) : Kazuyuki Yagasaki
• Speakers Info :
• Xiang Zhang (Shanghai Jiaotong University)
• Juan Jose Morales-Ruiz (Universidad Politecnica de Madrid)
• Holger Dullin (The University of Sydney)
• Maria-Angeles Zurro (Universidad Autonóma de Madrid)
• Shoya Motonaga (Ritsumeikan University)
• Kazuyuki Yagasaki (Kyoto University)
• Zbigniew Hajto (Jagiellonian University)
• Thierry Combot (University of Burgundy)

[00237] Recent progress in multiscale modeling and computational methods in material sciences

• Abstract : Remarkable progress has been made in recent years on multiscale modeling and computational methods for diverse problems in material sciences, including but not limited to fluid mechanics, pattern formation and defects in materials sciences, and soft and active materials in biology.
The research is interdisciplinary, spanning the fields of mathematics, materials science and biology. This minisymposium focuses on the recent progress in the multiscale modeling, mathematical analysis and computational methods of broad topics in material sciences. We aim to bring together experts from diverse fields to share their interesting research topics and recent progress and to promote interdisciplinary research collaborations.
• Organizer(s) : Chaozhen Wei, Dong Wang
• Speakers Info :
• Xiaoping Wang (Hong Kong University of Science and Techonology; Chinese University of Hong Kong, Shenzhen)
• Selim Esedoglu (University of Michigan )
• Chaoyu Quan (Southern University of Science and Technology)
• Xinpeng Xu (Guangdong Technion – Israel Institute of Technology)
• Pingbing Ming (Academy of Mathematics and Systems Science, Chinese Academy of Sciences)
• Wei Jiang (Wuhan University)
• Zhen Zhang (Southern University of Science and Technology)
• Xianmin Xu (Academy of Mathematics and Systems Science, Chinese Academy of Sciences)
• Chaozhen Wei (University of Electronic Science and Technology of China)
• Hao Wang (Sichuan University)
• Guanghua Fan (Hong Kong Unversity of Science and Technology)
• Chutian Huang (Hong Kong Unversity of Science and Technology)

[00239] Shape and Topology Optimizations

• Abstract : Shape and topology optimizations are widely used in many industries and consider optimal shapes and topologies of materials to maximize desired physical properties. Topological changes also yield extremely high performance, and hence, these optimization methods have attracted much attention in many industries. Furthermore, recent technological innovations in additive manufacturing have made it possible to manufacture optimized materials and even metamaterials that do not exist in nature. Besides, these optimization methods that take manufacturability and practicality into consideration have also been developed and will be expected to be applied in various fields.
• Organizer(s) : Takayuki Yamada, Grégoire Allaire, Hideyuki Azegami
• Speakers Info :
• Grégoire Allaire (Ecole Polytechnique, France)
• Takayuki Yamada (The University of Tokyo)
• Tomoyuki Oka (The University of Tokyo)
• Charles Dapogny (CNRS Grenoble)

[00247] Interfaces and Free Boundaries in Fluid Mechanics and Materials Science

• Abstract : This minisymposium is focused on recent advances in the analysis of interface evolution problems. A particular
emphasis lies on prominent applications arising in materials science (grain coarsening in polycrystalline
materials), fluid mechanics (fluid-structure interaction, viscous surface waves, dynamic wetting) and phase
separation models from chemistry. The minisymposium brings together an international group of researchers,
new and established, to discuss topics covering a broad range of associated mathematical questions and
techniques. These include variational methods for modelling and solution theories, the rigorous derivation of
sharp interface limits, and the analysis of evolving networks of branched interfaces.
• Organizer(s) : Sebastian Hensel, Kerrek Stinson
• Speakers Info :
• Mingwen Fei (Anhui Normal University)
• Malte Kampschulte (Charles University)
• Alice Marveggio (Institute of Science and Technology Austria)
• Dirk Peschka (WIAS Berlin)
• Alessandra Pluda (University of Pisa)
• Kerrek Stinson (University of Bonn)
• Ian Tice (Carnegie Mellon University)
• Yoshihiro Tonegawa (Tokyo Institute of Technology)
• Contact Person : Sebastian Hensel (Hausdorff Center for Mathematics, University of Bonn)

[00253] Modelling and Simulation of Lithium-Ion Batteries

• Abstract : Lithium-ion batteries have a very important role to play in the transition to a sustainable future. But despite the current widespread use of batteries, many of the phenomena involved in their functioning are not well understood. Mathematical models can be a fundamental tool to understand batteries and enable better design and management. In this minisymposium we will discuss the latest advances in the development and analysis of continuum models for lithium-ion batteries, with a particular focus on homogenised models and their applications to real-world problems. This minisymposium is part of the ECMI Special Interest Group on Sustainable Energies and Materials.
• Organizer(s) : Ferran Brosa Planella
• Speakers Info :
• Ferran Brosa Planella (University of Warwick)
• Robert Timms (University of Oxford)
• Thomas Roy (Lawrence Livermore National Laboratory)
• Laura Keane (York University)
• Emma Greenbank (University of Limerick)
• Steven Psaltis (Queensland University of Technology)
• Brian Wetton (University of British Columbia)
• Smita Sahu (University of Portsmouth)
• Edwin Khoo (A*STAR)
• Nicola Courtier (University of Oxford)

[00255] Recent developments in fast algorithms for inverse problems and imaging

• Abstract : Inverse problems correspond to the reconstruction of hidden objects from possibly noisy indirect measurements and are ubiquitous in a variety of scientific and engineering applications. Since these problems tend to be ill-posed, and real-world applications are often large-scale, this can be a very challenging task. This minisymposium focuses on recent advances in computationally efficient methods for solving large-scale inverse problems in imaging, e.g., those arising in medical, geophysical and industrial applications, covering topics that include advances in iterative methods, regularization, machine learning and novel applications of the previous.
• Organizer(s) : Malena Sabaté Landman, Jiahua Jiang
• Speakers Info :
• James G. Nagy (Department of Mathematics, Emory University)
• Eric de Sturler (Department of Mathematics, Virginia Tech)
• Silvia Gazzola (Department of Mathematical Sciences, University of Bath)
• Mirjeta Pasha (Department of Mathematics, Tufts University)
• Ling Guo (Department of Mathematics, Shanghai Normal University)
• Arttu Arjas (Faculty of Science, University of Oulu)
• Tommi Heikkilä (Department of Mathematics and Statistics, University of Helsinki)
• Anna Breger (Department of Theoretical Physics and Applied Mathematics, University of Cambridge and Medical University of Vienna)
• Contact Person : Malena Sabaté Landman (Department of Applied Mathematics and Theoretical Physics, University of Cambridge)

[00260] Statistics for random dynamics

• Abstract : Nowadays, a broad spectrum of large-scale and high-frequency data sets with complex spatiotemporal dependent structures is available; relevant fields of research are wide-ranging, including biology, finance, and actuarial science, to mention just a few. To create white-box models equipped with efficient and practical mechanisms for such data sets, simple combinations of the currently available devices are not enough, and it is therefore urgent and imperative to develop both mathematical statistics for stochastic processes and stochastic analyses synergistically, learning new from the past. Our session is intended to present some state-of-the-art topics in this active area of research.
• Organizer(s) : Hiroki Masuda, Shoichi Eguchi
• Speakers Info :
• Hiroki Masuda (University of Tokyo and Kyushu University)
• Shogo Nakakita (University of Tokyo)
• Yuma Uehara (Kansai University)
• Hayate Yamagishi (University of Tokyo)

[00262] numerical analysis, modeling and applications in phase-field its relevant methods

• Abstract : The phase field method and its relevant extensions have been widely used in various applications, including phase separations, crystal growth, and solid fracture dynamics. Meanwhile, it is still an active research field to develop thermodynamically consistent phase field models, design accurate, efficient, and stable numerical algorithms for these models, and apply them to various application problems. This mini-symposia brings together experts with diverse backgrounds in numerical analysis, PDE modeling and mathematical biology, machine learning, and data science, but with the same interest in phase field method and its relevant extension. Through this mini-symposia, we aim to foster active interdisciplinary discussions.
• Organizer(s) : Xiaofeng Yang; Xiaoming He; Jia Zhao
• Speakers Info :
• Qi Wang (University of South Carolina)
• Chun Liu (Illinois Institute of Technology)
• Xiangxiong Zhang (Purdue University)
• Pengtao Yue (Virginia Tech)
• Zhonghua Qiao (Hong Kong Polytechnic University)
• Shu Ma (Hong Kong Polytechnic University)
• Giordano Tierra-Chica (University of North Texas)
• Yibao Li (Xi’an Jiaotong University)
• Xiaofeng Yang (University of South Carolina)
• Xiaoming He (Missouri University of Science and Technology)
• Jia Zhao (Utah State University)
• Jie Shen (Purdue University)

[00263] Problems in incompressible fluid flows: Stability, Singularity, and Extreme Behavior

• Abstract : The objective of the mini-symposium is to survey recent progress regarding a number of problems in theoretical fluid mechanics and to foster an exchange of new ideas in this field. It will cover a range of topics related to the existence of equilibrium solutions and their stability, extreme behaviors realizable in fluid flows, regularity of solutions versus singularity formation, transport, and turbulence. Both vicious and inviscid flows will be considered as well as some other simplified models of fluid flow. The mini-symposium will emphasize insights obtained by exploiting connections between rigorous mathematical analysis, physics, and numerical computations.
• Organizer(s) : Takashi Sakajo, Bartosz Protas
• Speakers Info :
• Bartosz Protas (McMaster University)
• Takashi Sakajo (Kyoto University)
• Takeshi Matsumoto (Kyoto University)
• Tsuyoshi Yoneda (Hitotsubashi University)
• Koji Ohkitani (Kyoto University)
• Genta Kawahara (Osaka University)
• David Goluskin (University of Victoria)
• Miguel Bustamante (University College Dublin)
• Samriddhi Sankar Ray (International Centre for Theoretical Sciences, Bengaluru)
• Mohammad Farazmand (NC State University)
• Alain Pumir (Ecole normale supérieure de Lyon)

[00268] Neumann—Poincaré Operator, Layer Potential Theory, Plasmonics and Related Topics

• Abstract : The Neumann—Poincaré operator （abbreviated by NP） is a boundary integral linear operator known as one of the important tools associated with boundary value problems in the field of partial differential equations. The detailed properties of NP operators can be comprehended as governing dynamics of many physical systems. Especially, the NP spectrum controls some physical systems （Electro dynamics, elastic systems and etc.）.
Our purpose here is to discuss the spectral structure of NP operators and their applications to physical systems.

N.B. We would like to hold 4 sessions at this minisymposium.

• Organizer(s) : Yoshihisa Miyanishi, Kazunori Ando
• Speakers Info :
• Hyoenbae Kang (Inha University)
• Mihai Putinar (Univ. of California, Santa Barbara)
• Dmitry Khavinson (Univ. of South Florida)
• Hongyu Liu (City Univ. of Hong Kong)
• Shota Fukushima (Inha Univ.)
• Grigori Rosenblum (Chalmers Univ. Tech., St. Petersburg Univ., Sirius Univ.)
• Yong-Gwan Ji (Korea Institute for Advanced Study)
• Daisuke Kawgoe (Graduate School of Informatics, Kyoto University)
• Sanghyeon Yu (Korea Univ. )
• Norito Yneyama (Shinshu Univ.)
• Karl Mikael Perfekt (Norwegian Univ. of Science and Technology)
• Eric Bonnetier (Université Grenoble-Alpes)
• Habib Ammari (ETH Zürich)
• Contact Person : Yoshihisa Miyanishi (Shinshu University)

[00276] Interplay of Numerical and Analytical Methods in Nonlinear PDEs

• Abstract : Devising reliable numerical schemes and analytically understanding fine properties of solutions of nonlinear partial differential equations are challenging mathematical tasks. Theoretically and practically relevant examples are geometrically constrained PDEs such as harmonic maps and isometric bending problems. Modern applications arise in the development of new storage technologies and micro tools. Numerical simulations provide valuable experimental insight that can motivate analytical results, e.g. about singularities. Conversely, stability results for solutions lead to convergence theories for numerical schemes. The minisymposium aims at bringing together scientists from analysis and numerics working on nonlinear PDEs in order to inspire new mathematical developments.
• Organizer(s) : Sören Bartels, Diane Guignard, Christof Melcher
• Speakers Info :
• Harbir Antil (George Mason University)
• Carlos Garcia-Cervera (UC Santa Barbara)
• Chunxi Jiao (UNSW Sydney)
• Alex Kaltenbach (University of Freiburg)
• Omar Lakkis (University of Sussex)
• Jiashun Hu (The Hong Kong Polytechnic University)
• Endre Süli (Oxford University)
• Shuo Yang (Tsinghua University)
• Contact Person : Soeren Bartels (University of Freiburg)

[00278] Nonlocal Modeling, Analysis, and Computation

• Abstract : The past decade has seen a rapid growth in the development of nonlocal mathematical models. Nonlocal modeling is now being used in applications including continuum mechanics and fracture mechanics, anomalous diffusion and advection diffusion, and other fields. This minisymposium seeks to bring together mathematicians and domain scientists from different disciplines working on nonlocal modeling and is intended to serve as an international forum for the state of the art in the modeling, analysis, and numerical aspects of nonlocal models.
• Organizer(s) : Patrick Diehl, Pablo Seleson, Robert Lipton, Qiang Du
• Speakers Info :
• Burak Aksoylu (Texas A&M University-San Antonio)
• Julio Rossi (Universidad de Buenos Aires)
• Yu Yue (Lehigh University)
• Pablo Seleson (Oak Ridge National Laboratory)
• Patrick Diehl (Louisiana State University)
• Christian Vollmann (University of Trier)
• Tadele Mengesha (University of Tennessee)
• Stewart Silling (Sandia National Laboratories)
• Xiaochuan Tian (UC San Diego)
• James Scott (Columbia University)
• Han Fei (Dalian University of Technology)

[00280] Canonical Scattering Theory and Application

• Abstract : A resurging interest in metamaterials, in particular acoustic metamaterials, comprising multi-scale rigid, porous, and/or elastic materials with subwavelength resonators renews the need for a mathematical theory capable of dealing with wave interactions with such objects. This session will comprise advances across a range of canonical scattering and diffraction problems applicable to acoustic metamaterials. This lays the foundation for understanding and exploiting these materials across a range of industrial applications such as sound absorbent linings, acoustic cloaking devices, and acoustic lensing
• Organizer(s) : Lorna Ayton
• Speakers Info :
• Shiza Naqvi (University of Cambridge)
• Huansheng Chen (Lehigh University)
• Sonya Tiomkin (Lehigh University)
• Georg Maierhofer (Sorbonne University)
• Andrew Horning (MIT)
• Benshuai Lyu (king University)
• Matthew Nethercote (University of Manchester)
• Contact Person : Lorna Ayton (University of Cambridge)

[00283] Recent developments in mathematical imaging and modeling in magnetic particle imaging

• Abstract : Mathematical imaging and modeling are two key challenges in the imaging modality magnetic particle imaging (MPI). MPI provides reconstructions of the concentration of magnetic nanoparticles in 4D. To address this inverse problem properly, various dynamics need to be taken into account, e.g., the particles’ magnetization behavior and the dynamics in the fluid tracer. MPI provides challenging problems in imaging, modeling, and parameter identification. In this mini-symposium, we aim at bringing together researchers working on MPI and related mathematical fields. We cover theoretical and practical topics focusing on mathematical and physical as well as algorithmic and computational issues.
• Organizer(s) : Christina Brandt, Tobias Kluth
• Speakers Info :
• Tobias Kluth (University of Bremen)
• Jürgen Frikel (OTH Regensburg)
• Stephanie Blanke (University of Hamburg)
• Konrad Scheffler (University Medical Center Hamburg-Eppendorf)
• Andreas Weinmann (University of Applied Sciences Darmstadt)
• Hannes Albers (University of Bremen)
• Marius Nitzsche (University of Stuttgart)
• Lena Zdun (University of Hamburg)
• Emine Saritas (Bilkent University)
• Franziska Schrank (RWTH Aachen)
• Marija Boberg (University Medical Center Hamburg-Eppendorf)
• Mathias Eulers (University of Lübeck)

[00286] Low-Reynolds-number swimming: modelling, analysis and applications

• Abstract : Swimming in a fluid at microscopic scale is at the heart of many questions pertaining to biology, soft matter physics and micro-robotics.
It usually involves a complex balance of hydrodynamics, elasticity and internal activity, yielding a wide range of issues requiring various mathematical viewpoints, from modelling the fluid-structure interaction to optimal propulsion and efficient control of the swimmer’s trajectory, with perspectives on future applications to biomedical micro-robots. This minisymposium brings together a group of young and experienced researchers to share their contributions to some of the latest developments in the theoretical and numerical analysis of micro-swimmers.
• Organizer(s) : Jessie Levillain, Clément Moreau
• Speakers Info :
• Jessie Levillain (CMAP, Ecole Polytechnique)
• Clement Moreau (RIMS, Kyoto University)
• Antonio DeSimone (SISSA)
• Laurel Ohm (Princeton University)
• On Shun Pak (Santa Clara University)
• Benjamin Walker (UCL)
• Marta Zoppello (Politecnico di Torino)
• Yizhar Or (Technion)

[00289] Nonconvex nonlinear programming: Theory and algorithms

• Abstract : Nonconvex nonlinear programming problems arise extensively in many important applications including machine learning, image processing, etc. This minisymposium intends to present the latest advances on nonconvex nonlinear programming both in theory and in algorithms. The talks will be particularly focused on large scale problems, Lagrangian methods, gradient methods, and stochastic methods.
• Organizer(s) : Xin-Wei Liu, Yakui Huang
• Speakers Info :
• Kuang Bai (The Hong Kong Polytechnic University)
• Mengwei Xu (Hebei University of Technology)
• Bo Wen (Hebei University of Technology)
• Jun Fan (Hebei University of Technology)
• Yakui Huang (Hebei University of Technology)
• Xue Gao (Hebei University of Technology)
• Caixia Kou (Beijing University of Posts and Telecommunications)
• Xin-Wei Liu (Hebei University of Technology)

[00294] Machine Learning and Differential Equations

• Abstract : This Minisymposium aims at exploring the multiple relations between Machine Learning and Differential Equations. For one, it is possible to use Machine Learning to learn the solutions of challenging, high-dimensional or parameterized Differential Equations. On the other hand, some network architectures, like ResNet or Fractional-DNN, can be understood as time discretizations of Differential Equations. This interplay of different research directions leads to exciting problem formulations and the opportunity to benefit from the respective expertise.
• Organizer(s) : Roland Maier, Evelyn Herberg
• Speakers Info :
• Enrique Zuazua (FAU Erlangen)
• Aras Bacho (LMU München)
• Randy Price (George Mason University)
• Daniel Peterseim (Universität Augsburg)
• Axel Klawonn (Universität Köln)
• Birgit Hillebrecht (Universität Stuttgart)
• Sara Bicego (Imperial College London)
• Evelyn Herberg (Universität Heidelberg)

[00295] Estimation problems over groups

• Abstract : We discuss a class of estimation problems that aim for unknown group elements or a signal affected by group actions. Three prominent examples of such problems are synchronization over groups, multireference alignment, and the recovery problem in single-particle cryo-EM. The talks will cover computational and theoretical aspects, including the sample complexity of the problems, constructing group invariant operators, sparsity, recovery strategies, machine learning-based methods, group-robust metrics, data modeling, autocorrelation analysis, and its acceleration techniques, manifold optimization in cryo-EM, synchronization analysis, and more. This mini-symposium is divided into three sections and will host senior and junior researchers as its speakers.
• Organizer(s) : Yuehaw Khoo, Nir Sharon, Amit Singer
• Speakers Info :
• Marc Gilles (Princeton University)
• Ellen Zhong (Princeton University)
• Zhizhen Jane Zhao (University of Illinois at Urbana-Champaign)
• Anderson Ye Zhang (University of Pennsylvania)
• Yoel Shkolnisky (Tel Aviv University)
• Joakim Anden (KTH Royal Institute of Technology)
• Tamir Bendory (Tel Aviv University)
• Oscar Mickelin (Princeton University)
• William Leeb (University of Minnesota)
• Jose Perea (Northeastern University)
• Jeff Donatelli (UC Berkeley and Lawrence Berkeley National Laboratory)
• Ozan Oktem (KTH Royal Institute of Technology)
• Contact Person : Yuehaw Khoo (The University of Chicago)

[00296] Recent advances on two-phase flows, fluid-structure interactions, and interface problems

• Abstract : This mini-symposium for ICIAM2023 concerns different important topics such as mathematical modeling, theoretical analysis, and numerical methods. An important goal of this workshop is to foster collaboration between mathematicians, computational scientists, and engineers.

Applications include classic interface problems, Newtonian and non-Newtonian fluids, fluid and porous media, or viscoelastic, or poroelastic media couplings, finite element, finite volume, and finite differences or other numerical methods. Wellposedness of mathematical models and so on. The nature of this workshop will be mathematics centered with multi-disciplinary and multi-physics applications.

• Organizer(s) : Zhilin Li
• Speakers Info :
• Kazufumi Ito (North Carolina State University )
• Juan Ruiz (Universidad Politecnica de Cartagena)
• Peter Minev (University of Alberta)
• Ping Lin (University of Dundee)
• Zhilin Li (North Carolina State University)
• Mingchao Cai (Morgan State University)
• Qinghai Zhang (Zhejiang University)
• Dong-Dong He (Chinese University of Hong Kong at Shenzhen)
• John Stockie ( Simon Fraser University )
• Zhiwen Zhang (The University of Hong Kong)
• Hongxin Rui (Shandong University)
• Zhiyue Zhang (Nanjing Normal University)
• Zhen Zhang (Southern University of Science and Technology)
• Contact Person : Zhilin Li (North Carolina State University)

[00297] Wave scattering problems: numerical methods with applications

• Abstract : Wave scattering problems in acoustics, elastodynamics and electromagnetics are important in a large number of applications wherein challenging mathematical and numerical issues require sophisticated methods and techniques to resolve. The study of numerical methods for solving wave scattering problems has been heavily focused by researchers in both mathematical and engineering committees. This symposium devotes to combining experts from different countries and discussing some latest advances in computational modelling and simulation of complex wave phenomena with their application to real-world problems.
• Organizer(s) : Wangtao Lu, Tao Yin
• Speakers Info :
• Oscar Bruno (California Institute of Technology)
• Jianliang Qian (Michigan State University)
• Xue Jiang (Beijing University of Technology)
• Guanghui Hu (Nankai University)
• Zitao Mai (City University of Hong Kong)
• Daniel Massatt (Louisiana State Univesity)
• Bo Wang (Hunan Normal University)
• Liwei Xu (University of Electronic Science and Technology of China)
• Ruming Zhang (Karlsruher Institut für Technologie)
• Junshan Lin (Auburn University)
• Contact Person : Tao Yin (Chinese Academy of Sciences)

[00304] Phase transition and control of PDE models in applied sciences

• Abstract : The minisymposium aims to discuss recent developments and applications on phase transition and control for partial differential equations, abbreviated as PDEs, in applied sciences, such as biology, material sciences, engineering and so on.
Partial differential equations are important tools to model and study the various phenomena in applied sciences. The models with phase transition and control issues give rise to a great deal of challenging problems both in theoretical and numerical studies. The sessions focus on the seminal and extensive works in phase transition, boundary stabilization, optimal control of PDE models, such as Keller-Segel model, multi species BGK models, and aggregation models.
• Organizer(s) : Jie Du, Hui Yu
• Speakers Info :
• Woojoo Shim (Korea Institute For Advanced Study)
• Liangze Yang (Yanqi Lake Beijing Institute of Mathematical Sciences and Applications)
• Yang Yang (Michigan Technological University)
• Shenwen Yu (Tsinghua University)
• Contact Person : Hui Yu (Tsinghua University)

[00305] Computational Modeling on Biomedical Diseases

• Abstract : Several studies have demonstrated that mathematical and computational data analysis models are required to obtain a systematic understanding of the diseases and find effective treatments. As a result, many mathematical models using both stochastic and deterministic methods have been developed to study the evolutionary processes of the diseases’ initiation and progression. Some of the results of these computational models were used to predict the outcome of various drugs to obtain optimal treatment strategies. This mini-symposium will bring together scientists who are interested in the mathematical modeling of different biomedical diseases, including COVID-19, AIDs, TB, cancer, etc.
• Organizer(s) : Wenrui Hao, Wing-Cheong Lo, Leli Shahriyari
• Speakers Info :
• Kelin Xia (Nanyang Technological University)
• Yangjin Kim (Konkuk University)
• Leili Shahriyari (University of Massachusetts Amberst)
• Xiulan Lai (Renmin University of China)
• Qiantong Liang (City University of Hong Kong)
• Zhiliang Xu (University of Notre Dame)
• Andreas Buttenschoen (University of Massachusetts Amberst)
• Contact Person : Wing-Cheong Lo (City University of Hong Kong)

[00306] Mathematical approaches to nonlinear phenomena with singularities

• Abstract : In the advanced sciences and technologies, singularity has been one of characteristic keywords of complex and dynamic nonlinear phenomena, such as phase transitions, crystallization processes, image denoising processes, and so on. Also, in recent years, the theoretical/numerical methods to deal with such singularity have been developed by a lot of researchers, from various viewpoints. The objective of this mini-symposium is to let wide range of experts of this field meet together, and to exchange the latest hot topics on the mathematical models of nonlinear phenomena, such as solvability, regularities, stability, optimizations, and so on.
• Organizer(s) : Ken Shirakawa, Salvador Moll, Hiroshi Watanabe
• Speakers Info :
• Ken Shirakawa (Chiba University)
• Salvador Moll (University of Valencia)
• Hiroshi Watanabe (Oita University)
• Alexis Molino (Universidad de Almeria)
• Marcos Solera (Universidad Autonoma de Madrid / Universitat de Valencia)
• Jose A. Iglesias (University of Twente)
• Lorenzo Giacomelli (Sapienza Uiversita di Roma)
• Noriaki Yamazaki (Kanagawa University)
• Takeshi Fukao (Kyoto University of Education)
• Ryota Nakayashiki (Salesian Polytechnic)
• Shodai Kubota (Kanagawa University)
• Daiki Mizuno (Chiba University)

[00307] Advanced Solver for Computational Poromechanics

• Abstract : The numerical simulation of coupled flow and mechanical deformation in porous media is desired in several branches of technology and natural sciences for analyzing experimental data and designing quantitative theories based on mathematical concepts. The fluid-structure interaction is subject to various complexities and multiscale mechanisms. This is due to the mixed or mixed dimensional type of the model equations, nonlinearities in constitutive relations or boundary conditions, functionals used in variational formulations of error control or optimization problems. Recent progress in the design, analysis and application to large-scale problems of robust and efficient solvers for poromechanics is presented by leading experts.
• Organizer(s) : Markus Bause, Florin A. Radu
• Speakers Info :
• Markus Bause (Helmut Schmidt University Hamburg)
• Massimiliano Ferronato (University of Padova)
• Florin Adrian Radu (University of Bergen)
• Dumitru Trucu (University of Dundee)

[00309] Population Dynamics in Biology and Medicine

• Abstract : The mini-symposium covers diverse topics in population dynamics, from the control of insect populations, which are important disease vectors or agricultural pests, to disease spreading and their relationship with the individual immunological status in an ecological ambiance. Different approaches will be discussed in this context, combining techniques from control theory, asymptotic analysis, bifurcation theory, sensitivity analysis, and networks. The group committed to this mini-symposium is heterogeneous, coming from different institutions in North and South America, Europe, and Asia, and well-balanced between women and men researchers.
• Organizer(s) : Claudia Pio Ferreira, Olga Vasilieva
• Speakers Info :
• Maria Soledad Aronna (Fundação Getúlio Vargas)
• Michel de Lara (École des Ponts ParisTech)
• Yves Dumont (CIRAD)
• Claudia Pio Ferreira (Unesp)
• Sunmi Milee (Kyung Hee University)
• OLGA VASILIEVA (Universidad del Valle)
• Navideh Noori (Institute for Disease Modeling at Bill & Melinda Gates Foundation)
• Niko Stollenwerk (Basque Center for Applied Mathematics)
• Maíra Aguiar (Basque Center for Applied Mathematics)
• Paulo Fernando Mancera (Unesp)
• Ryosuke Omori (Hokkaido University)
• Suani Pinho (Federal University of Bahia)

[00316] Dynamics of patterns and traveling waves arising from reaction-diffusion systems

• Abstract : Reaction-diffusion systems reveal rich phenomena related to mathematical biology and evolutionary dynamics, like pattern formation, propagation of traveling waves. These results are also related to the free boundary problems coming from the fast reaction limits. In order for the communication with other researchers, we organize a minisymposium consisting of the topics on patterns, traveling waves and entire solutions for reaction-diffusion systems. The speakers introduce their works from the approach by center manifold reduction, comparison principles and variational methods. We expect to have new and positive contributions to these fields.
• Organizer(s) : Chueh-Hsin Chang, Chih-Chiang Huang
• Speakers Info :
• Chang-Hong Wu (National Yang Ming Chiao Tung University)
• Yan-Yu Chen (National Taiwan University)
• Chih-Chiang Huang (National Chung Cheng University)
• Chueh-Hsin Chang (National Chung Cheng University)

[00319] Robust formulations for coupled multiphysics problems – Theory and applications

• Abstract : The proposed minisymposium aims to bring together experts in the construction and analysis of novel discretization techniques for multiphysics models that maintain robustness with respect to model constants of interest. Particular emphasis will be placed on rigorous analysis of stability using saddle-point and perturbed saddle-point theory, a priori and a posteriori error estimation, as well on the design of robust solvers based on tailored domain decomposition techniques or on operator preconditioning. The session will also focus on the application of these new methodologies in the solution of coupled models arising in mechanobiology and similar multiphysics systems. For instance, our minisymposium features submissions involving brain tissue dynamics, cardiac electromechanics, and respiratory system modeling; but it also welcomes talks related to geophysical flows or other types of fluid-structure interaction multiphysics problems.
• Organizer(s) : Wietse Boon, Martin Hornkjøl, Miroslav Kuchta, Ricardo Ruiz Baier
• Speakers Info :
• James Adler (Tufts University)
• Santiago Badia (Monash University)
• Nicolas Barnafi (University of Pavia)
• Fleurianne Bertrand (University of Twente)
• Wietse Boon (Politecnico di Milano)
• Victor Calo (Curtin University)
• Martin Hornkjøl (University of Oslo)
• Christopher Kees (Louisiana State University)
• Arbaz Khan (Roorkee Institute of Technology)
• Miroslav Kuchta (Simula Research Laboratory)
• Maxim Olshanskii (University of Houston)
• Ricardo Oyarzua (Universidad del Bio-Bio)
• Ricardo Ruiz Baier (Monash University)
• Erik Valseth (Simula Research Laboratory)
• Ivan Yotov (University of Pittsburgh)
• Ludmil Zikatanov (Penn State University)
• Segundo Villa-Fuentes (Monash University)
• Luca Pavarino (University of Pavia)

[00322] Methodological advancement in rough paths and data science

• Abstract : Rough path theory is an emerging mathematical technology that captures macroscopically interactions of highly oscillatory streamed data. Formally, it extends the domain of definition for the calculus of deterministic controlled differential equations, allowing them to be driven by complex signals, potentially rougher than Brownian motion. This area has built bidirectional connections with data science and machine learning, enabling the development of novel, mathematics-informed methods for efficiently analyzing time series data, e.g. PDE-based Signature kernel, path development layer with Lie group representation. This minisymposia series facilitates the discussion of new methodological innovations on this interface between rough paths and data science.
• Organizer(s) : Hao Ni, Yue Wu
• Speakers Info :
• Christian Bayer (The Weierstrass Institute for Applied Analysis and Stochastics)
• Thomas Cass (Imperial College London)
• Ilya Chevyrev (University of Edinburgh)
• Emilio Rossi Ferrucci (University of Oxford)
• James Foster (University of Bath)
• Satoshi Hayakawa (University of Oxford)
• Chong Liu (ShanghaiTech University)
• Qi Meng (Microsoft Research)
• Hao Ni (University College London)
• Harald Oberhauser (University of Oxford)
• Josef Teichmann (ETH Zurich)
• Danyu Yang (Chongqing University)
• Contact Person : Yue Wu (University of Strathclyde)

[00323] Integrating rough paths into domain applications

• Abstract : Streamed data are ubiquitous. In this context, a key challenge is to quantify our understanding and account for the interaction between channels. Rough path theory provides new insights for producing actionable inference for multimodal path-like data. The path signature is a mathematical object with desirable approximation properties and geometric interpretation which leads to more effective features and analysis. Further, the expected signature provides a powerful way to describe empirical measures on streams. Applications include award-winning machine learning methods in healthcare and finance, as well as commercial-quality Chinese handwriting software. We expose new challenges and work on applications in this area.
• Organizer(s) : Terry Lyons, Lingyi Yang
• Speakers Info :
• Lingyi Yang (Alan Turing Institute)
• Paola Arrubarrena (Imperial College London)
• Bruno Dupire (Bloomberg)
• Elena Gal (University of Oxford)
• Blanka Horvath (University of Oxford)
• Mohamed Ibrahim (University of Leeds)
• Florian Krach (ETH Zurich)
• Darrick Lee (University of Oxford)
• Maud Lemercier (University of Oxford)
• Hang Lou (University College London)
• Jason Rader (University of Oxford)
• Benjamin Walker (University of Oxford)

[00324] Minisymposium on Combinatorial Reconfiguration

• Abstract : Combinatorial reconfiguration is an emerging branch of discrete mathematics that deals with gradual changes of combinatorial objects. While several related concepts have been studied over the years from different perspectives, the theory is growing up by combining its mathematical, computational and practical aspects.

This minisymposium aims at communicating recent research trends on combinatorial reconfiguration and discussing possible future directions.

• Organizer(s) : Takehiro Ito, Yusuke Kobayashi, Yoshio Okamoto
• Speakers Info :
• Colin Defant (MIT)
• Takehiro Ito (Tohoku University)
• Jonathan Narboni (LaBRI, Universite de Bordeaux, CNRS, Bordeaux)
• Irene Parada (Technical University of Copenhagen)
• Nicholas Williams (Lancaster University)
• Contact Person : Yoshio Okamoto (The University of Electro-Communications)

[00340] New trends in phase fields: theory & applications

• Abstract : The phase field method is a powerful numerical method to solve moving boundary problems appearing in Materials Science and Engineering. Phase field theories are parameterized by a set of physically motivated variables and their governing equations. This mini-symposium will bring together numerical analysts and computational scientists working on phase field methods to present their recent advances in algorithm designs and applications of phase field methods. The main purposes of this mini-symposium are to review the current status, identify problems and future directions, and to promote phase field methods to a wider scientific and engineering community.
• Organizer(s) : Mejdi Azaiez, Chuanju Xu
• Speakers Info :
• Mejdi Azaiez (Bordeaux INP)
• Rodica Borcia (Brandenburg University)
• Laurence Cherfils (Universite de la Rochelle)
• Steven Dong (Purdue University)
• Dianming Hou (Jiangsu Normal University)
• Xiaoli Li (Shandong University)
• Ping Lin (Dundee University)
• Alain Miranville (Poitiers University)
• Mathis Plapp (Ecole Polytechnique)
• Zhonghua Qiao (HK polytechnic U)
• Jie Shen (Purdue Unversity)
• Luisa Silvia (Ecole Centrale de Nantes)
• Qinglin Tang (Sichuan University)
• Cheng Wang (University of Massachusetts at Dartmouth)
• Chuanju Xu (Xiamen University)
• Jiang Yang (Southern University of Science and TechnologySouthern University of Science and Technology)
• Haijun Yu (Institute of Computational Mathematics and Scientific/Engineering Computing)

[00341] Graph Coloring

• Abstract : Graph coloring are fundamental objects of study in graph theory and have many applications including thetheoritical computer scinence, scheduling problems, and mobile phone network problems.

Beginning with the four color theorem, many conjectures and extensions of graph coloring have been proposed.
In addition, relationships with other subjects of graph theory have also been discovered.
However, despite the efforts of many mathematicians, there are still many unsolved problems in graph coloring.
In this mini-symposium, we will explore the latest topics and results concerning coloring conjectures, extensions, and relationships with other subjects.

• Organizer(s) : Shunichi Maezawa
• Speakers Info :
• Carol Zamfirescu (Ghent University)
• Xuding Zhu (Zhejiang Normal University)
• Zdeněk Dvořák (Charles University)
• Zi-Xia Song (University of Central Florida)
• Contact Person : Shunichi Maezawa (Tokyo University of Science)

[00342] Localized waves in nonlinear discrete systems

• Abstract : There are various spatially discrete nonlinear media in nature and engineering systems as diverse as solid crystal, metamaterial, and optical waveguide array, etc. Such media are mathematically modeled by nonlinear lattice dynamical systems. In both of experimental and mathematical systems, nonlinear localized waves such as solitons and discrete breathers are widely observed. The nonlinear localized waves have attracted much interest from the point of view of applied mathematics and that of physics problems such as thermalization and charge transport. So, mathematical and/or numerical analyses have been actively made. This MS aims at sharing and discussing recent results on the topic.
• Organizer(s) : Kazuyuki Yoshimura, Yusuke Doi
• Speakers Info :
• Kazuyuki Yoshimura (Tottori University)
• Yusuke Doi (Osaka University)
• Jesús Cuevas-Maraver (Universidad de Sevilla)
• Hiromi Yasuda (JAXA)
• Masayuki Kimura (Setsunan University)
• Yosuke Watanabe (Setsunan University)
• Sergej Flach (Institute for Basic Science)
• Juan F. R. Archilla (Universidad de Sevilla)

[00345] Recent Developments for High-frequency Waves and Tomography

• Abstract : Wave propagation is ubiquitous in our daily life, yet computing wave motion efficiently and accurately is still challenging in the high-frequency regime in many practical applications, such as nano-optics, material sciences, and geosciences. This mini-symposium gathers researchers in the field and provides a forum to exchange new ideas on recent theoretical and computational developments in high-frequency wave propagation and optics, as well as significant applications in medical and seismic tomography.
• Organizer(s) : Jianliang Qian, Shingyu Leung
• Speakers Info :
• Jin Cheng (Fudan University)
• Jiangtao Hu (Chengdu University of Technology)
• Chun Kit Hung (The Hong Kong University of Science and Technology)
• Wenbin Li (Harbin Institute of Technology, ShenZhen)
• Wenyuan Liao (University of Calgary)
• Yang Liu (Lawrence Berkeley National Laboratory)
• Rakesh Rakesh (University of Delaware)
• Boxi Xu (Shanghai University of Finance and Economics)
• Contact Person : Shingyu Leung (The Hong Kong University of Science and Technology)

[00353] Interpretable constrained tensor decompositions: models, algorithms, efficient implementations and applications

• Abstract : Tensor decompositions are a fundamental tool in the data sciences for extracting interpretable patterns, removing or reducing noise, and providing reduced-dimension or low-complexity models for tensor data. In recent years, significant progress has been made to propose and understand new constrained tensor models to aid in interpretability or to satisfy known constraints on the data. In this minisymposium, we present some of the state-of-the-art approaches to interpretable constrained tensor decompositions, including efficient inference algorithms with convergence guarantees, efficient implementations of these algorithms compatible with modern hardware, and application of these models to challenging data analysis problems across several domains.
• Organizer(s) : Axel Marmoret, Daniel M. Dunlavy, Jeremy E. Cohen
• Speakers Info :
• Koby Hayashi (GeorgiaTech)
• Derek DeSantis (Los Alamos National Laboratories)
• Rafal Zdunek (Wroclaw University of Science and Technology)
• Neriman Tokcan (Broad Institute)
• Carla Schenker (Simula Metropolitan)
• Jamie Haddock (Harvey Mudd College)
• Ruhui Jin (University of Wisconsin)
• Nico Vervliet (KU Leuven)
• Clémence Prévost (University of LIlle)
• Izabel Aguilar (Stanford University)
• Daniel M Dunlavy (Sandia National Laboratories)
• Jeremy Cohen (CREATIS, CNRS)

[00355] Recent progress in variational problems with nonlocality

• Abstract : This minisymposium will discuss some recent developments in the analysis of variational problems from science and engineering in which nonlocal interactions have a pronounced effect. Examples will include geometric variational problems with long-range repulsion, topologically non-trivial spin configurations in magnetic materials, long-range interactions in phase transitions, capillary theory and theory of dislocations.
• Organizer(s) : Cyrill Muratov, Matteo Novaga, Valeriy Slastikov
• Speakers Info :
• Serena Dipierro (University of Western Australia )
• Enrico Valdinoci (University of Western Australia )
• Lucia Scardia (Heriot Watt University)
• Anne Bernand-Mantel (INSA)
• Annalisa Cesaroni (University of Padua)
• Massimiliano Morini (University of Parma)
• Theresa Simon (University of Muenster)
• Adriana Garroni (University of Rome 1)
• Contact Person : Cyrill Muratov (University of Pisa)

[00356] Recent progress in variational problems with nonlocality

• Abstract : This minisymposium will discuss some recent developments in the analysis of variational problems from science and engineering in which nonlocal interactions have a pronounced effect. Examples will include geometric variational problems with long-range repulsion, topologically non-trivial spin configurations in magnetic materials, long-range interactions in phase transitions, capillary theory and theory of dislocations.
• Organizer(s) : Cyrill Muratov, Matteo Novaga, Valeriy Slastikov
• Speakers Info :
• Serena Dipierro (University of Western Australia )
• Enrico Valdinoci (University of Western Australia )
• Lucia Scardia (Heriot Watt University)
• Anne Bernand-Mantel (INSA)
• Annalisa Cesaroni (University of Padua)
• Massimiliano Morini (University of Parma)
• Theresa Simon (University of Muenster)
• Adriana Garroni (University of Rome 1)
• Contact Person : Cyrill Muratov (University of Pisa)

[00357] Topics at the Interface between Applied mathematics and Microeconomics

• Abstract : Traditionally, economic models were easier to understand in the context of economics. Still, recent advances in mathematical methods, particularly in applied mathematics and computer science, enable a more realistic and intuitive approach to economic phenomena. This session will present recent research on how economic theory relates to applied mathematics.
• Organizer(s) : Yujiro Kawasaki, Kuninori Nakagawa
• Speakers Info :
• Kuninori Nakagawa (University of Hyogo)
• Yujiro Kawasaki (Nagoya Institute of Technology)
• Ryosuke Ishii (Shimonoseki City University)
• Keiichi Kawai (Keio University)

[00372] Recent advances on computational wave propagation

• Abstract : This mini-symposium is organized to provide a forum for fellow researchers
working on numerical methods for wave propagation problems to present and
discuss their recent advances and achievements. Topics to be covered
include but not limited to: FDTD methods, finite element methods, spectral methods,
multiscale methods, novel techniques for metamaterials and graphene.
• Organizer(s) : Jichun Li, Nathan Gibson
• Speakers Info :
• Jichun Li (University of Nevada Las Vegas)
• Huoyuan Duan ( Wuhan University)
• Weiying Zheng (Chinese Academy of Sciences)
• Franco Dassi (Università degli Studi di Milano-Bicocca)
• Nathan Louis Gibson (Oregon State University)
• Duncan McGregor (Sandia National Laboratories)
• Jiefu Chen (University of Houston)
• Liuqiang Zhong ( South China Normal University)

[00378] Mathematical Methods in System Reliability

• Abstract : System reliability is a measure of the performance of an engineering system. High-tech industrial processes increase in complexity and at the same time, system failures are having more significant impacts on society than ever before. Hence, the importance of reliability in modern engineering processes, can hardly be overstated.
The reliable performance of complex systems depends on the performance of their components and the system’s structure. In recent years, advanced statistical, probabilistic and algebraic methods and techniques have been applied to system reliabilty. This minisymposium brings together recent developments of mathematical methods applied to industrial system reliability.
• Organizer(s) : Fatemeh Mohammadi, Eduardo Sáenz-de-Cabezón, Henry Wynn
• Speakers Info :
• Henry Peter Wynn (London School of Economics and Alan Turing Institute)
• Fatemeh Mohammadi (UK Leuven)
• Michal Mrena (University of Zilina)
• Arne Bang Huseby (Oslo University)
• Christian Tanguy (Orange Telecom)
• Eduardo Sáenz-de-Cabezón (University of La Rioja)
• Patricia Pascual-Ortigosa (University of La Rioja)
• Contact Person : Eduardo Sáenz-de-Cabezón (Universidad de La Rioja)

[00384] Origami Engineering (1/2)

• Abstract : Discussions on topics related to origami engineering will take place at this mini-symposium. Presenters will present their research aimed at applying the technology of origami, the folding of flat materials to create shapes, to engineering, and exploring the geometric properties of origami from a mathematical perspective to explore its range of applications.
• Organizer(s) : Jun Mitani, Sachiko Ishida, Kazuya Saito
• Speakers Info :
• Taiju Yoneda (Kyushu University)
• Chisaki Kitajima (Kyushu University)
• Yiyang Jia (Seikei University)
• Thomas C Hull (Western New England University)
• Toshie Sasaki (Meiji University)
• Sachiko Ishida (Meiji University)
• Aya Abe (Meiji University)
• Akie Sakitani (Meiji University)
• Tonan Kamata (JAIST)
• Ryuhei Uehara (JAIST)
• Yoshikazu Yamagishi (Ryukoku University)
• Yohei Yamamoto (University of Tsukuba)
• Contact Person : Jun Mitani (University of Tsukuba)

[00385] Origami Engineering (2/2)

• Abstract : Discussions on topics related to origami engineering will take place at this mini-symposium. Presenters will present their research aimed at applying the technology of origami, the folding of flat materials to create shapes, to engineering, and exploring the geometric properties of origami from a mathematical perspective to explore its range of applications.
• Organizer(s) : Jun Mitani, Sachiko Ishida, Kazuya Saito
• Speakers Info :
• Rinki Imada (The University of Tokyo)
• Sora MORIYAMA (The University of Tokyo)
• Akito Adachi (The University of Tokyo)
• Hiroko Murai (Nara Women’s University)
• Guoxing Lu (Swinburne University of Technology)
• Luis Diago (Meiji University)
• Keiko Yamazaki (Meiji University)
• Yang Yang (Meiji University)
• Contact Person : Jun Mitani (University of Tsukuba)

[00389] Randomized methods for solving linear systems and eigenvalue problems

• Abstract : Although the field of randomized numerical linear algebra has grown significantly, developments on accurate randomized solvers only start to emerge in recent years. This minisymposium intends to bring together researchers to exchange ideas on producing fast and accurate randomized solvers, studying their performance, and exploring new applications. We will specifically focus on randomized methods for solving linear systems and eigenvalue problems and on randomized strategies that can produce reliable high-quality solutions or approximations. Some topics include randomized iterative solvers, preconditioning, matrix approximations, low-rank compression, and eigenvalue detection. Applications to PDE solutions, machine learning, and data analysis will also be discussed.
• Organizer(s) : Jianlin Xia, Qiang Ye
• Speakers Info :
• Jianlin Xia (Purdue University)
• Ming Gu (UC Berkeley)
• Victor Pan (CUNY Lehman)
• Arvind Saibaba (North Carolina State University)
• Laura Grigori (Inria)
• Sabine Le Borne (Technische Universitat Hamburg)
• Zhongyuan Chen (Purdue University)
• Yuji Nakatsukasa (University of Oxford)
• Qiang Ye (University of Kentucky)
• David Woodruff (Carnegie Mellon University)
• Mateo Diaz (Johns Hopkins University)
• Diana Halikias (Cornell University)

[00390] Recent Advances in Machine Learning Theory and Applications

• Abstract : Successful applications of machine learning algorithms usually motivate theoretical studies of their computational and consistent properties. These theoretical studies help researchers and practitioners better understand the algorithms, identify appropriate application domains, and set up hyperparameters to achieve the best performance. On the other side, theoretical studies can also in turn motivate new algorithms by addressing the limitations of existing algorithms. This usually improves the performance in some specific scenarios or broaden the application domains of the existing algorithms. This minisymposium will collect talks on recent advances that address the interplay of mathematical foundations of machine learning and their applications.
• Organizer(s) : Andreas Christmann, Han Feng, Qiang Wu
• Speakers Info :
• Andreas Christmann (University of Bayreuth)
• Han Feng (City University of Hong Kong)
• Yunlong Feng (SUNY Albany)
• Cen Li (Middle Tennessee State University)
• Alexander M Powell (Vanderbilt University)
• Tianyu Zhou (Georgia Institute of Technology)
• Qiang Wu (Middle Tennessee State University)

[00391] Recent Advances in Multiscale Transforms for Image Analysis

• Abstract : This minisymposium will bring together researchers working on multiscale image transforms beyond wavelets and discuss deeper connections between harmonic analysis and image analysis. We plan to discuss various methods to decompose an image into “predictable” local segments and their residuals that allow efficient and sparse image approximation and associated tools based on new types of directional wavelets and monogenic signal representations. The key idea here is how to predict main features, e.g., dominant orientation information in texture images, in each local segment in such a way that the unpredictable portion in that segment is easily compressible or remains as noise.
• Organizer(s) : Naoki Saito, Katsu Yamatani
• Speakers Info :
• Masaki Morita (Meijo University)
• Keita Ashizawa (National Institute of Technology, Maizuru College)
• Kensuke Fujinoki (Kanagawa University)
• Naoki Saito (University of California, Davis)

[00404] Large-Scale Eigenvalue Computations and Optimization

• Abstract : The minisymposium aims at presenting a few recent developments in large-scale eigenvalue computations and optimization, as well as investigating the intimate connection between them. Of particular interest are not only standard and generalized eigenvalue problems but also nonlinear eigenvalue problems, multiparameter eigenvalue problems, singular value decompositions, and their applications such as those in data science and control theory. Orthogonal transformations and projections to proper subspaces play vital roles for computing and optimizing eigenvalues numerically in the large-scale setting. The minisymposium focuses on the use of such tools in modern algorithms for large-scale eigenvalue computations, optimization, and applications.
• Organizer(s) : Kensuke Aishima, Emre Mengi
• Speakers Info :
• Kensuke Aishima (Hosei University)
• Elias Jarlebring (KTH Royal Institute of Technology)
• Emre Mengi (Koç University)
• Tim Mitchell (Queens College / CUNY)
• Bor Plestenjak (University of Ljubljana)
• Brian Sutton (Randolph-Macon College)
• Roel Van Beeumen (Lawrence Berkeley National Laboratory)
• Matthias Voigt (UniDistance Suisse)

[00410] Recent advances in Bayesian optimal experimental design

• Abstract : Computational measurement models may involve several uncertain parameters in addition to the unknown quantities of primary interest. In Bayesian optimal experimental design, the goal is to design a measurement configuration, e.g. optimal placement of sensors to collect observational data, which maximizes the expected utility—such as the expected information gain—for obtaining information on the unknown quantities subject to uncertainties in the measurement model. This is especially important when there is a limited budget for collecting actual measurement data. This minisymposium showcases recent theoretical and computational developments to overcome the major challenges encountered in problems arising within this field.
• Organizer(s) : Claudia Schillings, Vesa Kaarnioja
• Speakers Info :
• Tapio Helin (LUT University)
• Jinwoo Go (Georgia Institute of Technology)
• Karina Koval (University of Heidelberg)
• Claudia Schillings (Free University of Berlin)
• Contact Person : Vesa Kaarnioja (Free University of Berlin)

[00413] Numerical Methods for Dispersive PDEs and Applications

• Abstract : Dispersive partial differential equations $left({rm PDEs}right)$ play a fundamental role in many fields such as the nonlinear optics, water wave theory, quantum mechanics, etc. From the perspective of computational mathematics, it is significant to design efficient numerical methods to solve dispersive PDEs with in-depth numerical analysis and provide an intuitive view for physical phenomena. The proposed minisymposium invites experts in this field to review recent advances in numerical methods for dispersive PDEs and applications.
• Organizer(s) : Weizhu Bao, Yue Feng
• Speakers Info :
• Rémi Carles (Université Rennes 1)
• Yue Feng (Laboratoire Jacques-Louis Lions)
• Wei Liu (South China Normal University)
• Emmanuel Lorin (Carleton University)
• Katharina Schratz (Laboratoire Jacques-Louis Lions)
• Christof Sparber (University of Illinois at Chicago)
• Chunmei Su (Tsinghua University)
• Chushan Wang (National University of Singapore)

[00418] Nonlinear PDE: beyond the well-posedness theory

• Abstract : The theory of nonlinear partial differential equations (PDEs) is of fundamental importance in mathematical analysis, and through recent developments, it has reached a stage where some difficult and important questions beyond the well-posedness theory can be fruitfully addressed. The aim of this session focuses on a large class of nonlinear PDEs particularly related to Hamilton-Jacobi equations, level-set mean curvature flow equations, mean field games, and reaction diffusion equations, and brings experts to give a constructive and inspiring reflection on the state of the literature surrounding such equations, which will boost some further research in related areas.
• Organizer(s) : Hiroyoshi Mitake, Hung Vinh Tran
• Speakers Info :
• Diogo Gomes (King Abdullah University of Science and Technology)
• Wenjia Jing (Tsinghua University)
• Norbert Pozar (Kanazawa University)
• Yuming Paul Zhang (Auburn University)
• Contact Person : Hiroyoshi Mitake (University of Tokyo)

[00420] Painlevé equations, Applications, and Related Topics

• Abstract : Recently, problems arising in statistical and probabilistic models with an underlying integrable
structure have been found to possess deep links to continuous and discrete Painlevé equations.
The theory of Painlevé equations has therefore come to play an increasingly important role in the
study of such problems. The way in which Painlevé equations appear, and the types of equations
that appear in these problems pose deep questions on the side of the theory of Painlevé equations.
This mini-symposium aims to bring together experts both in Painlevé equations and the broad
range of problems in which they appear, and illustrate this interplay.
• Organizer(s) : Anton Dzhamay, Alexander Stokes, Tomoyuki Takenawa, Ralph Willox
• Speakers Info :
• Mikhail Bershtein (KAVLI IPMU, The University of Tokyo)
• Robert Buckingham (University of Cincinnati)
• Anton Dzhamay (University of Northern Colorado)
• Galina Filipuk (University of Warsaw)
• Jie Hu (Jinzhong University, Shanxi)
• Thomas Kecker (University of Portsmouth)
• Joceline Lega (University of Arizona)
• Hidetaka Sakai (University of Tokyo)
• Yang Shi (Flinders University)
• Alexander Stokes (University of Tokyo)
• Takao Suzuki (Kindai University)
• Walter van Assche (University of Leuven)

[00421] When random comes to the rescue of numerical computation

• Abstract : The need of efficient IA and deep learning applications has impulse a new way of performing floating-point computations based on low precision representation formats and their corresponding hardware support.
Among the peculiarity raised is the need of operators, analyses, methodologies, and tools to estimate accuracy needs, overcome unwanted behaviors such as stagnation (numerical loss during sequences of tiny updates) and optimize performance.
In this minisymposium, we will focus on a few aspects of randomization in numerical computation, covering its advantages for IA applications, probabilistic error analysis, variant of stochastic rounding mode and the detection of numerical abnormalities and precision analysis.
• Organizer(s) : David DEFOUR
• Speakers Info :
• Eric PETIT (INTEL Portland)
• EL-Mehdi El Arar (UVSQ)
• Bruno LATHUILIERE (EDF)
• Roman Iakymchuk (UMEA university)
• Contact Person : David DEFOUR (Universite de Perpignan)

[00426] Variational methods for thin structures and free-boundary problems

• Abstract : Thin structures are classically studied using variational methods and PDEs, and they may be described both by surfaces and by free interfaces. On one hand, surfaces appear for modeling soap films and biological membranes minimizing suitable energy functionals, like area and Canham-Helfrich functionals. On the other hand, free interfaces separate a domain whose boundary is free: it is not known a priori and it depends on the solution of a PDE. Such a free-boundary problems naturally arise in many different models in Physics and Engineering, like for instance the Bernoulli one-phase problem.
• Organizer(s) : Giulia Bevilacqua, Luca Lussardi
• Speakers Info :
• Paolo Bonicatto (University of Warwick)
• Luigi De Masi (Università degli Studi di Padova)
• Antonia Diana (Scuola Superiore Meridionale)
• Eliot Fried (OIST)
• Annalisa Massaccesi (Università degli Studi di Padova)
• Marco Morandotti (Politecnico di Torino)
• Anna Skorobogatova (IAS Princeton)
• Luca Spolaor (UC San Diego)
• Salvatore Stuvard (Università degli Studi di Milano)
• Riccardo Tione (MPI MiS Leipzig)
• Bozhidar Velichkov (Università di Pisa)
• Hui Yu (University of Singapore)
• Contact Person : Giulia Bevilacqua (Università di Pisa)

[00435] Multiscale Numerical Methods for Complex Fluids

• Abstract : Focus of this mini-symposium will be on the modelling and computational aspects of multiscale coupling strategies and hybrid techniques -continuum, mesoscopic, atomistic- specifically applied to complex fluids, such as colloidal suspensions, granular media, polymeric systems and/or multiphase flows. The goal is, on one hand, to share state-of-the-art results on multiscale approaches in fluids, on the other to discuss technical issues on their computational modelling. We believe that this mini-symposium will foster new collaborations and contribute to further advances in the field.
• Organizer(s) : Giulio Giusteri, Takashi Taniguchi, Marco Ellero
• Speakers Info :
• Laura Moreno (University of Padova)
• Shugo YASUDA (University of Hyogo)
• Shuji Ogata (Nagoya Institute of Technology)
• Momoji Kubo (Tohoku University)
• Zhen Li (Clemson University)
• Duncan Lockerby (University of Warwick)
• Ren Weiqing (National University of Singapore)
• Xin Bian (Zhejiang University)
• Matej Praprotnik (University of Ljubljana)
• John Molina (Kyoto University)
• Nicolas Moreno (Basque Center for Applied Mathematics)
• Mária Lukácová-Medvidová (Johannes Gutenberg-Universität Mainz)
• Contact Person : Marco Ellero (Basque Center for Applied Mathematics)

[00436] Coupled dynamical systems: from data analysis to biomathematics

• Abstract : This minisymposium presents recent results in the study of coupled systems, from small groups of elements (neurons, cardiomyocytes, chemical reactions, and so on) to large ones. We propose different lines of study from data analysis techniques to dynamical systems theory approaches to deal with these problems from isolated systems to coupled systems .
• Organizer(s) : Roberto Barrio, Hiroyuki Kitajima, Valeriy Makarov, Ivan Tyukin
• Speakers Info :
• Roberto Barrio (University of Zaragoza, Spain)
• Hiroyuki Kitajima (Kagawa University, Japan)
• Valeriy Makarov (Universidad Complutense de Madrid, Spain)
• Ivan Tyukin (University of London, UK)

[00437] Climate Risks: From Modelling to Applications

• Abstract : There is an increasing awareness of the urgency required to combat climate change and environmental pollution from central governments, researchers, and the industry around the world. Over 130 countries have committed to carbon neutrality targets in various forms, representing approximately 80% of the world population and 90% of the world’s GDP. This shift in public attention is particularly relevant to our economic and financial systems in several aspects. This minisymposium discusses how to model and measure climate risks, their implications for corporate decisions, credit risks, and supply chain risks, how to green investing, and how to regulate the climate emissions market. Overall, these progresses allow researchers, regulators, and other stakeholders to improve their insights into the climate transitional risk to the economy, which will enable society to design policies and strategies to help allocate resources for carbon-neutral goals.
• Organizer(s) : Emmanuel Gobet, Ruixun Zhang, Florian Bourgey
• Speakers Info :
• Emmanuel Gobet (Ecole Polytechnique)
• Ruixun Zhang (Peking University)
• Florian Bourgey (Bloomberg)
• Markus Leippold (University of Zurich)
• Olivier David Zerbib (EDHEC Business School)
• Jerome Detemple (Boston University)
• Stéphane Loisel (Université Lyon 1)
• Thierry Roncalli (Amundi Institute)

[00441] Intersection between financial economics and optimal control

• Abstract : Optimal control is widely applied to understand strategic behavior of agents in financial economics. For example, an investor or a household makes investment and consumption decisions, a firm decides production, investment, and financing policies. Optimal control helps to understand these problems in a random environment facing constraints, risk, and uncertainties. Meanwhile, financial applications motivate new forms of control problems. This mini-symposium presents the latest developments in the applications of optimal control in financial economics.
• Organizer(s) : Scott Robertson, Hao Xing
• Speakers Info :
• Hiroaki Hata (Hitotsubashi University)
• Yan Ji (Hong Kong University of Science and Technology)
• Zhaoli Jiang (Chinese University of Hong Kong, Shenzhen)
• Scott Robertson (Boston University)
• Nan Chen (Chinese University of Hong Kong)
• Wei Jiang (Hong Kong University of Science and Technology)
• Chao Ying (Chinese University of Hong Kong)
• Hao Xing (Boston University)

[00444] Complex Systems: Advances in Theory and Applications

• Abstract : Many social, biological, and technological networks display non-trivial features, with complicated structures patterns of connection. Well-known classes of complex networks are scale-free and small-world networks. The study of complex networks is growing and many new aspects of network structures attract attention in mathematics, physics, electric power systems, biology, climate, computer science, sociology, epidemiology, and others. There is also a wide range of practical issues including Coupled networks and cyber-physical networks; Networked control; Multi-agent systems: Synchronization phenomena; Complex engineering design, including communication networks, power grids, electronic circuits, biomedical systems, software systems; Biological systems, neural networks, disease transmission.
• Organizer(s) : Maciej Ogorzalek
• Speakers Info :
• Michael Small (University of Western Australia)
• Tomomichi Nakamura (University of Hyogo)
• Guanrong Chen (City University of Hong Kong)
• Felix Lou (Osaka University)
• Jinhu Lu (Chinese Academy of Sciences)
• Maciej Ogorzalek (Jagiellonian University)
• Ljiljana Trajkovic (Simon Fraser University)
• Michael Tse (City University of Hong Kong)

[00449] Atomistic simulations in the exascale era

• Abstract : The world’s very first exascale computer has finally arrived. The first generation of exascale machines will predominantly rely on hybrid architectures where massive numbers of CPUs, GPUs, and specialized hardware accelerators, coexist. Realizing the full potential of such architectures is a formidable task that requires an in-depth rethinking of current approaches. In this mini-symposium, we address the challenges faced by computational materials and chemical science communities. We specifically explore novel techniques, algorithms, and methodologies that can extend the time and length scales of atomistic simulations using exascale hardware.
• Organizer(s) : Joshua Finkelstein, Danny Perez, Emanuel Rubensson, Tony Lelièvre
• Speakers Info :
• Joshua Finkelstein (Los Alamos National Laboratory)
• Danny Perez (Los Alamos National Laboratory)
• Emanuel Rubensson (Uppsala University)
• Tony Lelièvre (Ecole des Ponts ParisTech)
• Aiichiro Nakano (University of Southern California)
• Vikram Gavini (University of Michigan)
• Paul Kent (Oak Ridge National Laboratory)
• Anders Niklasson (Los Alamos National Laboratory)
• Ryan Pederson (University of California, Irvine)
• Olga Gorynina (Institute for Snow and Avalanche Research)
• Vasily Bulatov (Lawrence Livermore National Laboratory)
• Tom Swinburne (French National Centre for Scientific Research (CNRS))

[00455] Recent Development of Theory and Algorithms of Scientific Machine Learning

• Abstract : The “unreasonable effectiveness” of deep learning for massive datasets posed numerous mathematical and algorithmic challenges along the path towards gaining deeper understandings of new phenomena in machine learning. This minisymposium aims at bringing together applied mathematicians interested in the mathematical aspects of deep learning, with diverse background and expertise to modeling high-dimensional scientific computing problems and nonlinear physical systems; the talks reflect the collaborative, multifaceted nature of the mathematical theory and applications of deep neural networks.
• Organizer(s) : Chunmei Wang, Haizhao Yang
• Speakers Info :
• Jinchao Xu (KAUST)
• Chao Ma (Stanford University)
• Zhengyu Huang (Caltech)
• Senwei Liang ( Lawrence Berkeley National Laboratory)
• Yong Zheng Ong (National University of Singapore)
• Arnulf Jentzen (University of Münster)
• Lu Zhang (COLUMBIA UNIVERSITY)
• Yiqi Gu (Hongkong University)
• Tao Luo (Shanghai Jiao Tong University)
• Wei Cai (Southern Methodist University)
• Qianxiao Li (National University of Singapore)
• chunmei wang (University of Florida)

[00462] Mathematical and applicable studies on quantum walks

• Abstract : Eigenvalue problems for matrices and spectral theory for unitary operators and self-adjoint operators are important research area of quantum walks. In fact, spectra of time-evolution operators of quantum walks determine the dynamics of quantum walkers. In this minisymposium, we are going to have eight talks on the scattering and the spectral theory for quantum walks as well as eigenvalue problems on quantum walks on finite graphs and related topics. Some of them are going to introduce studies of quantum walks in view of theoretical physics and laser engineering.
• Organizer(s) : Hisashi Morioka, Etsuo Segawa
• Speakers Info :
• Ken Mochizuki (RIKEN)
• Aito Suzuki (Shinshu University)
• Leo Matsuoka (Hiroshima Institute of Technology )
• Ayaka Ishikawa (Yokohama National University)
• Yohei Tanaka (Shinshu University)
• Chris Bourne (Tohoku University)
• Kei Saito (Kanagawa University)
• Kenta Higuchi (Ehime University)
• Contact Person : Hisashi Morioka (Ehime University)

[00465] Linear and Non-linear Approximation of Curves and Surfaces

• Abstract : Approximation techniques are used in problems in which it’s required to find
unknown functions from a set of known data. This problem appears in physics (solution of hyperbolic PDEs), medicine (medical imaging treatment) or topography (Digital Elevation Models) etc.

Reconstruction based on linear schemes, like splines, have proved to be useful in different application (DEM). However they become ineffective for approximating piecewise smooth functions (shocks in solution of hyperbolic PDEs) or edge-dominated images. For such families, nonlinear schemes may improve the approximation performance.

This MS brings together researchers from the two different communities, with the aim to generate scientific dialogue.

• Organizer(s) : Francesc Aràndiga
• Speakers Info :
• Rosa Donat (Universitat de València)
• Albert Cohen (Sorbonne Université)
• Domingo Barrera (University of Granada)
• Francesc Aràndiga (Universitat de València)
• Salah Eddargani (University of Torino)
• María José Ibáñez (University of Granada)
• Dionisio F. Yáñez (Universitat de València)
• Mohamed Ajeddar (University Hassan First, Settat)
• Sergio López-Ureña (Universitat de València)
• Agustin Somacal (Sorbonne Université)
• Mohammed Oraiche (University Hassan First, Settat)

[00468] Stochastic Modelling in Finance

• Abstract : The mini-symposium is devoted to the recent developments in stochastic modelling in finance. It will include stochastic modelling of big data in finance, portfolio optimization problems in incomplete stochastic volatility financial markets, driven by both Brownian motion and a jump processes, as well as a Heston 1/2 component and a 3/2 component the state-of-the-art 4/2 stochastic volatility models, and also new modelling involving Parrondo’s paradox and its financial applications.
• Organizer(s) : Anatoliy Swishchuk
• Speakers Info :
• Anatoliy Swishchuk (University of Calgary)
• Markos Eskobar-Anel (University of Western Ontario)
• Bruno Remillard (HEC, Montreal)
• Indranil SenGupta (North Dakota State University)

[00471] Recent Advancements in Electrical Impedance Tomography

• Abstract : Electrical impedance tomography is an imaging modality based on solving the inverse conductivity problem, in which known boundary voltages and currents are used to reconstruct information about an object’s interior. The inversion process is known to be both highly nonlinear and highly ill-posed, and thus provides researchers with an ongoing wealth of interesting problems. The cutting edge of research in EIT includes both theoretical and computational developments, and is relevant to a wide variety of medical and industrial applications. This minisymposium will gather leading experts in EIT along with young researchers to share their new results and insights.
• Organizer(s) : Melody Alsaker, Samuli Siltanen
• Speakers Info :
• Juan Pablo Agnelli (National University of Córdoba)
• Melody Alsaker (Gonzaga University)
• Valentina Candiani (University of Genoa)
• Ville Kolehmainen (University of Eastern Finland)
• Peter Muller (Villanova University)
• Siiri Rautio (University of Helsinki)
• Cristiana Sebu (University of Malta)
• Aku Aku Seppänen (University of Eastern Finland)

[00475] Variational methods and periodic solutions in the n-body problem

• Abstract : The n-body dynamics have been studied by many prominent mathematicians and physicists for centuries. With the developments of mathematical and computational tools, there has been exciting progress during the past two decades. This progress includes variational approaches, stability, chaotic phenomenon, integrability, central configurations, solar system, space mission designs, and planetary formations, among many others. In this minisymposium, we aim to provide a forum for researchers to share the latest developments and exchange ideas.
• Organizer(s) : Mitsuru Shibayama
• Speakers Info :
• Mitsuru Shibayama (Kyoto University)
• Bo-Yu Pan (National Chung-Hsing University)
• Takuya Chikazawa (The University of Tokyo)
• Taiga Kurokawa (Kyoto University)
• Hiroshi Fukuda (Kitasato University)
• Naoki Hiraiwa (Kyushu University)
• Eiko Kin (Osaka University)
• Yuika Kajihara (Kyoto University)
• Guowei Yu (Nankai University)
• Kenta Oshima (Hiroshima Institute of Technology)
• Toshihiro Chujo (Tokyo Institute of Technology)
• Kuo-Chang Chen (National Tsing Hua University)

[00484] Matrix Analysis and Applications

• Abstract : The goal of the minisymposium is to stimulate research and foster interaction of researchers. It scope includes any topics in matrices and their applications. Matrix analysis is widely used in mathematics with applications in control and systems theory, image processing, operations research, scientific computing, statistics, and engineering. This minisymposium has multiple sessions which provide an opportunity for researchers to exchange ideas and recent developments in this active area of research. Participants are from Canada, China, Japan, Macau, Norway, Pakistan, Portugal, Singapore, South Korea, and USA.
• Organizer(s) : Luyining Gan, Tin-Yau Tam, Qing-Wen Wang, Yang Zhang
• Speakers Info :
• Enide Andrade (University of Aveiro)
• Gi-Sang Cheon (Sungkyunkwan University)
• Delin Chu (National University of Singapore)
• Geir Dahl (Universitetet I Oslo)
• Xiankun Du (Jilin University)
• Sejong Kim (Chungbuk National University)
• Konstantin Kucheryavyy (University of Tokyo)
• Olga Bolha Kushel (Shanghai University)
• Xin Liu (Macau University of Science and Technology)
• Rute Lemos (University of Aveiro)
• Mutti-Ur Rehman (Sukkur IBA University)
• Takeaki Yamazaki (Toyo University)
• Huihui Zhu (Hefei University of Technology)
• Tin-Yau Tam (University of Nevada, Reno)
• Yang Zhang (University of Manitoba)
• Qing-Wen Wang (Shanghai University)

[00488] Eigenvector-Dependent Nonlinear Eigenvalue Problems: Theory, Algorithms and Applications

• Abstract : Nonlinear eigenvalue problems fall into two major categories
in terms of eigenvalue-dependency or eigenvector-dependency,
short-named NEP and NEPv, respectively. NEPv is the next natural
topic after NEP. The most well-known origin of NEPv is
from Kohn-Sham density functional theory in electronic structure
calculations, but most recent sources are various machine learning
models in the form of optimization on matrix manifolds,
core-periphery detection in networks, rate-splitting multiple access in
wireless communication, among others. In this minisymposium, speakers
will present recent advancements in algorithms, numerical analysis
and applications of NEPv and discuss emerging challenges.
• Organizer(s) : Zhaojun Bai, Ren-Cang Li, Ding Lu
• Speakers Info :
• Francesco Tudisco (Gran Sasso Science Institute)
• Lei-Hong Zhang (Soochow University)
• Zhengjian Bai (Xiamen University)
• Ding Lu ( University of Kentucky)
• Delin Chu (National University of Singapore)
• Xiaoying Dai (Chinese Academy of Sciences)
• Jeonghun Park (Kyungpook National University)
• Ren-Cang Li (University of Texas at Arlington)
• Contact Person : Zhaojun Bai (University of California, Davis)

[00497] Advances in numerical methods for nonlinear optics

• Abstract : Nonlinear optics is the area of optics that studies the interaction of light with matter in the regime where the response of the material system to the applied electromagnetic field is nonlinear in the amplitude of this field. Here, we are concerned with numerical modeling of nonlinear optical phenomena. Of particular interest to this minisymposium are recent advances on general numerical methods such as finite difference methods, finite element methods, discontinuous Galerkin methods, etc. that have been tailored to the mathematical models of nonlinear optics with emphasis on achieving high order accuracy, adaptivity and efficient handling of multiscale features.
• Organizer(s) : Vrushali A. Bokil, Camille Carvalho, Stéphane Lanteri, Claire Scheid
• Speakers Info :
• Maohui Lyu (Academy of Mathematics and Systems Science, Chinese Academy of Science)
• Jeffrey William Banks (Rensselaer Polytechnic Institute)
• Lutz Angermann (TU Clausthal)
• Stéphane Lanteri (Inria)
• Marlis Hochbruck (Karlsruhe Institute of Technology)
• Vrushali A. Bokil (Oregon State University)

[00498] Approximation and modeling with manifold-valued data

• Abstract : Application problems that involve data on differentiable manifolds are at the interface of numerical analysis and differential geometry. Researchers approach such tasks for various reasons: some make general efforts to transfer established methods from the Euclidean setting to nonlinear manifolds. Others are motivated by a specific application that requires one to work with manifold data.
This minisymposium aims at bringing together researchers working on approximation and modeling problems on Riemannian manifolds. A particular focus is on interpolation methods and applications in model reduction.
We aspire to create synergies and bridge the gap between different communities in this fascinating research field.

• Organizer(s) : Nir Sharon, Ralf Zimmermann
• Speakers Info :
• Nir Sharon (Tel-Aviv University)
• Thomas P.Y. Yu (Drexel University)
• Andreas Weinmann (Darmstadt University)
• Rudrasis Chakrabortty (University of California, Berkeley)
• Caroline Moosmüller (University of North Carolina at Chapel Hill)
• Bin Gao (Chinese Academy of Sciences)
• Holger Wendland (University of Bayreuth)
• Aaron Charous (Massachusetts Institute of Technology)
• Fatima Silva Leite (University of Coimbra)
• Ronny Bergmann (Norwegian University of Science and Technology)
• Patrick Buchfink (University of Stuttgart)
• Johann Guilleminot (Duke University)
• Contact Person : Ralf Zimmermann (University of Southern Denmark)

[00505] Structured matrices with applications in sciences and engineering

• Abstract : The main purpose of this MS is to present recent developments on some special structured matrices that are of interest in different areas of mathematics, as well as in more applied areas like operations research, social sciences and computation. Problems arising in these fields are considered and techniques from matrix theory, numerical linear algebra and combinatorics, among others, are explored to solve them.
• Organizer(s) : Susana Furtado, Natália Bebiano
• Speakers Info :
• Natália Bebiano (Department of Mathematics, University of Coimbra, Portugal)
• Shigeru Furuichi (Department of Information Science, Nihon University, Setagaya-ku, Tokyo, Japan)
• Susana Borges Furtado (Faculdade de Economia do Porto and CEAFEL)
• Wei-Ru Xu (School of Mathematical Sciences, Sichuan Normal University, P.R. China)
• Sirani K. Mututhanthrige Perera (Department of Mathematics, Embry-Riddle Aeronautical University, 1 Aerospace Blvd., Daytona Beach, FL 32114, 386-226-7257)
• Maria isabel Bueno Cachadina (University of California, Santa Barbara)
• Charles R. Johnson (College of William and Mary, Virginia, USA)
• Joao António Ribeiro Cardoso (Polytechnic Institute of Coimbra – ISEC)

[00506] Inverse Problems for Anomalous Diffusion

• Abstract : Anomalous diffusion has received a lot of attention recently due to its extraordinary capability for describing nonstandard diffusion processes arising in multiple physical sciences and engineering. The relevant mathematical models often involve a fractional-order derivative in time or space. The nonlocality of the model substantially changes the analytical behaviour of the mathematical models when compared with the standard counterpart. This has also big impact on the behaviour of related inverse problems, which has witnessed many exciting and important developments in the last few years. In this mini-symposium, we aim at gathering researchers working on the topic to discuss recent advances on mathematical and numerical analysis of inverse problems for anomalous diffusion, in order to further promote the developments of the topic.
• Organizer(s) : Bangti Jin, Zhi Zhou
• Speakers Info :
• Barbara Kaltenbacher (University of Klagenfurt)
• Tuhin Ghosh (Biefield University)
• Siyu Cen (Hong Kong Polytechnic University)
• Zhidong Zhang (Sun Yat Sen University)
• Yavar Kian (Aix-Marseille University)
• Gen Nakamura (Hokkaido University)
• Yikan Liu (Hokkaido University)
• Xinchi Huang (University of Tokyo)
• Jaan Janno (Tallinn University of Technology)
• Yi-Hsuan Lin (National University of Taiwan)
• Zhi Zhou (The Hong Kong Polytechnic University)
• Qimeng Quan (The Chinese University of Hong Kong)

[00507] Stochastic Dynamical Systems and Applications

• Abstract : The objective of this special minisymposium is to bring together experts from multiple disciplines with complementary views and approaches to stochastic dynamics in the context of applications. The topics include but not limited to: Theoretical advances in stochastic dynamical systems and stochastic partial differential equations, connection with non-equilibrium statistical physics, non-Gaussian noise and nonlocal partial differential operators, dynamical indicators for phase transition and abrupt change, most probable transition pathways and early warning time, tools for predicting rare events or extreme events, machine learning tools for examining stochastic dynamics, multi-scale stochastic simulation algorithms, multiscale multiphase flow simulation and homogenization problems.
• Organizer(s) : Yanjie Zhang
• Speakers Info :
• Longjie Xie (Jiangsu Normal University)
• Xiaomeng Xu (Peking University)
• Xiaopeng Chen (Shantou University)
• Xiaobin Sun (Jiangsu Normal University)
• Jinqiao Duan (Illinois Institute of Technology)
• Hongjun Gao (Southeast University)
• Wei Wang (Nanjing University)
• Meng Zhao (Huazhong university of science and technology )
• Jie Xu (Henan Normal University)
• Huijie Qiao (Southeast University)
• Yichun Zhu (Univerisity of Maryland)
• Qi Zhang (Tsinghua University)
• Ao Zhang (Central South University)
• Contact Person : Yan jie Zhang (Zhengzhou University)

[00509] Recent developments in stochastic optimization

• Abstract : Optimization problems involving stochastic models or randomized
algorithms are at the core of various applications areas such as
machine learning, finance, energy production, signal processing,
telecommunications, and medical imaging. Modern applications
involve complex models and large dimensions. They require
sophisticated analysis and algorithmic tools to obtain efficiently
reliable solutions. This minisymposium will feature several
advances illustrating the fertile interface between stochastic
analysis and optimization through talks presented by junior and
senior researchers. It will cover theoretical advances, as well as
practical applications in finance, optimal control, inverse
problems, optimal transportation, and petroleum production.
• Organizer(s) : Patrick L. Combettes
• Speakers Info :
• Luis M. Briceno-Arias (Universidad Tecnica Federico Santa Maria)
• Minh N. Bui (Universitat Graz)
• Teemu Pennanen (King’s College London )
• Contact Person : Patrick L. Combettes (North Carolina State University)

[00517] Numerical Modelling of Highly Flexible Structures for Industrial Applications

• Abstract : Highly flexible slender structures like yarns, cables, hoses or ropes are essential parts of high-performance engineering systems. The complex response of such structures in real operational conditions is far beyond the capabilities of current modelling tools that are at the core of modern product development cycles. The European Training Network THREAD, see https://thread-etn.eu/, addresses this problem class by novel methods for modelling and numerical simulation and their application in medical engineering, ropeway system design, civil engineering and automotive industry. Three groups of the THREAD network report on modelling aspects and tailored geometric time integration methods in these fields of application.
• Organizer(s) : Martin Arnold, Sigrid Leyendecker, Dejan Zupan
• Speakers Info :
• Martina Stavole (Friedrich-Alexander-Universität Erlangen-Nürnberg)
• Sudhanva Kusuma-Chandrashekhara (University of Ljubljana)
• Martin Arnold (Martin Luther University Halle-Wittenberg, Germany)
• Rodrigo Takuro Sato Martín de Almagro (FAU – Lehrstuhl für Technische Dynamik)

[00521] Recent advances on non-convex optimization in inverse problems, imaging and machine learning

• Abstract : Non-convex optimization has become increasingly important for modern data science applications, with many unsolved challenging open problems. Due to the absence of convexity, the well- developed paradigms convex optimization cannot be fully extended here, leading to the current situation that the theory of non-convex optimization is way behind the practice. In this mini-symposium, we focus on recent advances in non-convex optimization, including the analysis and understanding of the fundamental nature of the non-convex optimization, algorithmic bias/implicit regularization of gradient-based algorithms, fast convergent algorithms in non-convex problems, and their applications in inverse problems, imaging and machine learning and many others.
• Organizer(s) : Guoyin Li, Jingwei Liang, Junqi Tang
• Speakers Info :
• Lulu Zhang (Shanghai Jiao Tong University)
• Antonio Silveti-Falls (University of Paris-Saclay)
• Camille Castera (University of Tübingen)
• Shida Wang (University of Tübingen)
• Atsushi Nitanda (Kyushu Institute of Technology)
• Yifei Wang (Standford University)
• Lenaic Chizat (Institute of Mathematics, EPFL)
• Ting Kei Pong (Hong Kong Polytechnic University)
• Jeya Jeyakumar (University of New South Wales)
• Tianxiang Liu (Tokyo Institute of Technology)
• Cedric L. M. Josz (Columbia University)
• Mareike Dressler (University of New South Wales)
• Gue Myung Lee (Pukyong National University)
• Bruno Lourenço (The Institute of Statistical Mathematics/SOKENDAI)
• Guoyin Li (University of New South Wales)
• Shenlong Hu (Hangzhou Dianzi University)
• Contact Person : Jingwei Liang (Shanghai Jiao Tong University)

[00523] Implicit methods for hyperbolic problems and their extensions and applications

• Abstract : Hyperbolic partial differential equations and their numerical solutions play an important role in several fields of applied mathematics. Many interesting applications of related PDEs are stiff in nature, so implicit time discretizations with enhanced stability properties are good candidates for their numerical solution. The minisymposium shall discuss important aspects of such methods like higher order accuracy, non-oscillatory behavior, well-balancing, asymptotic-preserving, efficient solvers, and combinations with explicit schemes.
• Organizer(s) : Peter Frolkovič, Pep Mulet, Carlos Parés
• Speakers Info :
• Raimund Bürger (University of Concepción)
• Celia Caballero (University of Málaga)
• Irene Gómez-Bueno (University of Málaga)
• Isabel Cordero-Carrión (University of Valencia)
• Pep Mulet (University of Valencia)
• Carlos Parés (University of Málaga)
• Dagmar Žáková (Slovak University of Technology in Bratislava)
• Michal Žeravý (Slovak University of Technology in Bratislava)
• Arjun Thenery Manikantan (Hasselt University)
• Contact Person : Peter Frolkovič (Slovak University of Technology in Bratislava)

[00524] Lie Symmetries, Solutions and Conservation laws of nonlinear differential equations

• Abstract : This mini-symposium is devoted to all research areas that are related to nonlinear differential equations and their applications in science and engineering. The main focus of this mini-symposium is on the Lie symmetry analysis, conservation laws and their applications to ordinary and partial differential equations. These differential equations could originate from mathematical models of diverse disciplines such as architecture, chemical kinetics, civil engineering, ecology, economics, engineering, fluid mechanics, biology and finance. Other approaches in finding exact solutions to nonlinear differential equations will also be discussed. This includes, but not limited to, asymptotic analysis methodologies, bifurcation theory, inverse scattering transform techniques, the Hirota method, the Adomian decomposition method, and others.
• Organizer(s) : Chaudry Masood Khalique
• Speakers Info :
• Wen Xiu Ma (University of South Florida)
• Maria Luz Gandarias (University of Cadiz)
• Oke Davies Adeyemo (North-West University)
• Lijun Zhang (Shadong University of Science and Technology)
• Rita Tracina (University of Catania)
• Muhammad Usman (University of Dayton)
• Teoman Ozer (Istanbul Technical University)
• Contact Person : Chaudry Masood Khalique (North-West University, South Africa)

[00528] High order and well-balanced methods and stability analysis for non-linear hyperbolic systems

• Abstract : Many complex physical phenomena may be modeled by means of non-linear hyperbolic systems. When approximating such systems, one requires the use of efficient, accurate and stable numerical schemes. On the one hand, the use of high-order methods will be necessary in order to reduce the numerical diffusion inherent to the numerical approach. On the other hand, it is common for these systems the existence of some particular steady-state solutions that should be preserved, which will need the use of a well-balanced scheme.

The goal of this mini-symposium is the discussion and presentation of state-of-the-art computational and numerical methods of high-order well-balanced schemes with applications to hyperbolic systems.

• Organizer(s) : Tomas Morales de Luna, Ernesto Guerrero-Fernandez
• Speakers Info :
• Michael Dumbser (Universita di Trento)
• Elena Gaburro (Inria Bordeaux-Sud-Ouest )
• Antonio Marquina (Universitat de Valencia)
• Susana Serna (Universitat Autonoma de Barcelona)
• Ernesto Guerrero-Fernandez (Pacific Marine Environmental Laboratory NOAA)
• Tomas Morales de Luna (Universidad de Malaga)
• Christophe Berthon (Nantes Universite)
• Jose Maria Gallardo (Universidad de Malaga)

[00529] Numerical approximation of geophysical flows

• Abstract : Hyperbolic PDE systems naturally appear in many real-world applications, particularly in geophysical flow models. They are of essential importance for understanding natural phenomena and for their prediction.

This mini-symposium focuses on geophysical flows with a particular interest in the shallow water framework and related applications such as sediment transport, tsunami hazards, and viscoplastic flows.

The objective will be to discuss and presents new trends in computational and numerical methods for shallow flows and their applications.

• Organizer(s) : Cipriano Escalante, José Garres
• Speakers Info :
• José Garres (Universidad de Córdoba)
• María Carmen Martí (Universidad de Valencia)
• Saray Busto (Universidade de Vigo)
• Antonio Baeza (Universidad de Valencia)
• Clement Berger (École normale supérieure de Lyon)
• Alessia del Grosso (Institut de Mathématiques de Bordeaux)
• José Manuel González-Vida (Universidad de Málaga)
• María de la Luz Muñoz (Universidad de Málaga)
• Contact Person : Cipriano Escalante Sanchez (Universidad de Málaga)

[00533] Recovery and robustness of geometric fingerprints for point clouds and data

• Abstract : The aim of our mini-symposium is to connect communities interested in the problem of condensing information from a dataset to a less complex geometric/statistical “summary”, sometimes called a fingerprint. We will concentrate especially on, Distance histograms, Persistence diagrams, as well as spectral fingerprints and other geometric fingerprints. Questions relevant to applications, including topics such as resistence or stability to noise/error of a given fingerprint (“robustness” problems), or injectivity of the fingerprint (relevant for “recovery” problems) will be our focus during the minisymposium.

• Organizer(s) : Mircea Petrache, Rodolfo Viera
• Speakers Info :
• Facundo Memoli (Ohio State University)
• Jose Perea (Northeastern University)
• Tom Needham (Florida State University)
• Matti Lassas (University of Helsinki)
• Theresa Heiss (IST Austria)
• Shuai Huang (Emory University)
• Vitaly Kurlin (University of Liverpool)
• Yohai Rheani (Technion)
• Rodolfo Viera (Pontificia Catolica Universidad de Chile)
• Mircea Petrache (Pontificia Catolica Universidad de Chile)

[00534] Topological and geometric data analysis: theory and applications

• Abstract : In recent decades, topological data analysis “TDA” and geometric data analysis “GDA” have provided great impacts on data science, characterizing valuable information on “shape of data”. In this series of mini-symposia, we present recent progresses of theory and applications of TDA and GDA, including persistent homology, optimal transportation, filling radius, Reeb graph, graph embeddings, flow data analysis, dimensionality reduction, geometric deep learning, Hodge Laplacian, discrete exterior calculus, and their various applications in materials, chemistry, biology, and data sciences.
• Organizer(s) : Yasuaki Hiraoka, Kelin Xia
• Speakers Info :
• Sunhyuk Lim (Max Planck Institute for Mathematics in the Sciences)
• Jie Wu (Yanqi Lake Beijing Institute of Mathematical Sciences and Applications)
• Mustafa Hajij (University of San Francisco )
• Chao Chen (Stony Brook University)
• Killian Meehan (Kyoto University)
• Tomoki Uda (Tohoku University)
• Wojciech Chacholski (KTH Royal Institute of Technology )
• Jason Cantarella (University of Georgia)
• Contact Person : Yasuaki Hiraoka (Kyoto University)

[00538] Mathematical modeling, analysis, and simulation for complex neural systems

• Abstract : Mathematical neuroscience exploits applied mathematics tools, e.g., modeling, analysis and scientific computing, to understand the structure, dynamics, and function of the brain. Many neuroscience phenomena are intriguing but extremely complicated, with features of high dimensionality, nonlinearity, multi-scale, and complex dynamics. Therefore, developing effective theoretical and computational methods becomes increasingly significant to understand the mechanism underlying neuroscience phenomena, as well as to advance experimental neuroscience. This mini-symposium focuses on novel ideas and advanced approaches in mathematical neuroscience, with an emphasis on prominent neuroscience phenomena including hierarchical structure, oscillatory and attractor dynamics, and functions of learning and memory.
• Organizer(s) : Songting Li, Douglas Zhou
• Speakers Info :
• Victor Barranca (Swarthmore College)
• Tomoki Fukai (Okinawa Institute of Science and Technology)
• Krešimir Josić (University of Houston)
• Songting Li (Shanghai Jiao Tong University)
• Hermann Riecke (Northwestern University)
• Louis Tao (Peking University)
• Si Wu (Peking University)
• Douglas Zhou (Shanghai Jiao Tong University)

[00539] Extreme value theory and statistical analysis

• Abstract : Huge disasters, such as earthquake and flood occur rarely but their damage is extremely terrible and the countermeasures against them are urgent social task.
Extreme value theory (EVT) deals with rare events mathematically or statistically and is applied to risk management for not only disasters but also various fields, for example, finance, insurance and life span of industrial products.
We present 4 researches. Asymptotic theory for extreme value generalized additive model, statistical inference for sample maximum distribution, nonparametric statistical inference related to several economic topics and statistical management for multivariate risk for financial institutions.
• Organizer(s) : Takaaki SHIMURA
• Speakers Info :
• Takuma Yoshida (Kagoshima University)
• Taku Moriyama (Tottori University)
• Daisuke Kurisu (Yokohama National University)
• Takaaki Koike (Hitotsubashi University)
• Contact Person : Takaaki Shimura (The Institute of Statistical Mathematics)

[00545] Waves in complex and multiscale media

• Abstract : Characterizing wave propagation in complex and multiple-scale media is important for modelling and simulating the propagation of acoustic, electromagnetic, elastic and water waves in heterogeneous media. This minisymposium demonstrates the ubiquity of mathematical techniques by bringing together researchers from all of these application areas. The talks will illustrate a variety of the current methods and the challenges that remain. The session will represent a cross section of applied mathematics, ranging from applied analysis to large-scale numerical simulation schemes. A central aim of the minisymposium is to promote the exchange of ideas and knowledge between the different application areas.
• Organizer(s) : Bryn Davies, Luke Bennetts
• Speakers Info :
• Artur Gower (University of Sheffield)
• Hai Zhang (HKUST)
• Ornella Mattei (San Francisco State University)
• Erik Orvehed Hiltunen (Yale University)
• Kei Matsushima (University of Tokyo)
• Gregor Tanner (University of Nottingham)
• Graeme Milton (University of Utah)
• Laure Giovangigli (ENSTA)
• Malte Peter (University of Augsburg)
• Amin Chabchoub (Kyoto University)
• Amy-Rose Westcott (University of Adelaide)
• Hugh Wolgamot (University of Western Australia)
• Contact Person : Bryn Davies (Imperial College London)

[00550] Multi-scale analysis in random media and applications

• Abstract : A rich variety of models in mechanics are heterogenous and multi-scale in nature, and the derivation of „averaged“ or „effective“ behaviours on large-scales are well-known to be challenging and of particular interest. The complexity of the micro-structure often requires stochastic modeling and advanced methods, combining tools from PDE and probability, to understand and compute such effective properties. The purpose of this mini-symposium is to offer an overview of recent developments on the theory of stochastic homogenization and its applications in several areas of applied mathematics, ranging from fluids mechanics, wave propagation, nonlinear elasticity and statistical mechanics.
• Organizer(s) : Nicolas Clozeau, Laure Giovangigli, Lihan Wang
• Speakers Info :
• David Gérard-Varet (Université de Paris)
• Jessica Lin (McGill university)
• Mitia Duerinckx (Université Libre de Bruxelles)
• Régis Cottereau (Université Aix-Marseille)
• Mathias Schäffner (Technische Universität Dortmund )
• Wenjia Jing (Tsinghua University)
• Roberta Marziani (Technische Universität Dortmund )
• Peter Morfe (Max-Planck institute for mathematics in the sciences)
• Frédéric Legoll (Ecole Nationale des Ponts et Chaussées)
• Nicolas Clozeau (Institute of science and technology Austria)

[00552] Homogenization theory and applications

• Abstract : The aim of this mini-symposium is to overview contemporary theory and applications on homogenization by specialists from various areas.
Short time behavior of particles in inhomogeneous media may depend on the location of particles, whereas their long time behavior often tends to be homogeneous due to the averaging effects. Such an averaging process is called homogenization.
Homogenization has been a very active research area in mathematics and applied mathematics for a long time. We invite specialists from several fields, including PDE, probability, analysis and applied mathematics. We exchange ideas and discuss various aspects on homogenization.
• Organizer(s) : Takashi Kumagai
• Speakers Info :
• Jean-Dominique Deuschel (TU-Berlin)
• Jun Masamune (Tohoku University)
• Hiroyoshi Mitake (University of Tokyo)
• Stefan Neukamm (TU-Dresden)
• Contact Person : Takashi Kumagai (Waseda University)

[00554] Pattern dynamics appearing in mathematical biology

• Abstract : Biological phenomenon have promoted the mathematical studies of pattern dynamics, such as Turing’s pattern formation and traveling wave. We will introduce some of the recent progress around this topic which offer new viewpoints. We hope this is going to be the starting point to discuss the future perspective.
• Organizer(s) : Chiun-Chuan Chen, Yoichiro Mori, Hirokazu Ninomiya, Toshiyuki Ogawa
• Speakers Info :
• Weiwei Ding (South China Normal University)
• Mingmin Zhang (Paul Sabatier University (Toulouse III))
• Kota Ikeda (Meiji University)
• Hirokazu Ninomiya (Meiji UniversityMeiji University)
• Contact Person : Toshiyuki Ogawa (Meiji University)

[00555] Advanced Numerical Methods for PDEs with Applications

• Abstract : Numerical modeling and algorithms are fundamental building blocks in computational science and engineering that provide accurate and efficient solution methods to the model equations. As applications become more complex, the model equations become more difficult and sophisticated. New and efficient numerical techniques are hence needed to solving the physical equations. The goal of this mini-symposium is to present the recent developments of computational methods for applications. The topics include numerical methods for PDEs, fast solvers, adaptive methods, and software developments. The mini-symposium will emphasize both the design and analysis of numerical algorithms as well as applications in science and engineering.
• Organizer(s) : Justin Wan, Lilia Krivodonova
• Speakers Info :
• Justin Wan (University of Waterloo)
• Steve Ruuth (Simon Fraser University)
• Ron Haynes (Memorial University)
• Uri Ascher (University of British Columbia)
• Lilia Krivodonova (University of Waterloo)
• Mary Pugh (University of Toronto)
• Lucian Ivan (Canadian Nuclear Laboratories)
• Ray Spiteri (University of Saskatchewan)

[00559] DNB Theory and its Applications

• Abstract : The concept of dynamical network biomarker (DNB) was proposed to provide early-warning signals of diseases on the basis of co-dimension 1 local bifurcation in 2012, and then is widely used in various topics and fields of biology and medicine, e.g. dynamical analyses of biological processes in biology and disease prediction/early-diagnoses in medicine. The DNB is a novel type of biomarkers to identify the critical state during disease progression, which quantifies biological systems from a dynamical and network viewpoint, thus providing reliable information on early-warning signals before onset of complex diseases. Many DNB methods as well as applications have been developed. The DNB theory with big biological data is expected to lead to ultra-early precision and preventive medicine. This symposium addresses but not limited to the recent development of theory, methodology and application of DNB in a variety of scientific areas.
• Organizer(s) : Kazuyuki Aihara, Luonan Chen
• Speakers Info :
• Kazuyuki Aihara (The University of Tokyo)
• Rui Liu (South China University of Technology)
• Xiaoping Liu (Hangzhou Institute for Advanced Study, UCAS)
• Naoki Masuda (State University of New York at Buffalo)
• Chengming Zhang (The University of Tokyo)
• Jun-ichi Imura (Tokyo Institute of Technology)
• Wei Lin (Fudan University)
• Huanfei Ma (Soochow University)
• Luonan Chen (Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences)

[00563] PDE’s on Mathematical Physics and Biology

• Abstract : This minisymposium will be focused on different models concerning mathematical biology and mathematical physics, both from an analytical and applied point of view.
In the first part, we will give an overview on different problems in population dynamics, such as invasion, spreading of populations and living in regions or in graphs.
The second part will deal with problems involving the Schrödinger operator, coming from mathematical Physics. Precisely, it will be discussed results such as existence of ground state solutions and stability of solutions.
• Organizer(s) : Pablo Álvarez-Caudevilla, Cristina Brändle, Eduardo Colorado, Tatsuya Watanabe
• Speakers Info :
• Raffaella Servadei (Università degli Studi di Urbino Carlo Bo)
• Giovanni Molica Bisci (Università degli Studi di Urbino Carlo Bo)
• Luca Vilasi (Università degli Studi di Messina)
• Pablo Álvarez-Caudevilla (Universidad Carlos III de Madrid)
• Cristina Brändle (Universidad Carlos III de Madrid)
• Tatsuya Watanabe (Kyoto Sangyo University)

[00570] Title: Machine Learning and Statistical Approaches for PDE Based Inverse Problems in Imaging

• Abstract : In recent years, there is tremendous growth in machine learning and statistical approaches to solve inverse problems involving PDEs. This mini symposium will explore ideas both theoretical and computational to advance understanding of the convergence, consistency, and numerical algorithms to solve PDE based inverse problems. We will focus on inverse problems with applications to imaging including Electrical Impedance Tomography, Diffuse Optical Tomography. The mini symposium is expected to bring experts from theory, computation, and practice to bridge the gap between these areas.
• Organizer(s) : Department of Mathematics and Statistics, University of North Carolina at Charlotte, USA
• Speakers Info :
• Elizabeth Newman (Emory University)
• Pedram Rooshenas (University of Illinois at Chicago)
• Taufiquar Khan (University of North Carolina at Charlotte)
• Anuj Abhishek (University of North Carolina at Charlotte)
• Contact Person : Taufiquar Khan (UNC Charlotte)

[00571] Mathematics in biological pattern formation: modeling, analysis, and applications

• Abstract : This mini-symposium will focus on recent advances in mathematical modeling and analysis of pattern formation problems related to biology. Mainly, we will discuss how to explain pattern formation through the analysis of the evolution equations such as ODE and PDE, which are modeled to fit the context of the biological phenomena. In this mini-symposium, we will invite researchers working on different types of model equations, such as particle systems, reaction-diffusion systems, and Fokker-Planck equations, to introduce a variety of approaches to pattern formation problems in biology.
• Organizer(s) : Shin-Ichiro Ei, Hiroshi Ishii
• Speakers Info :
• Antoine Nicolas Diez (Kyoto University)
• Sophie Hecht (CRS, LJLL)
• Yoshitaro Tanaka (Future University Hakodate)
• Sohei Tasaki (Hokkaido Univeristy)
• Contact Person : Hiroshi Ishii (Kyoto University)

[00573] Emerging Methods for Shape- and Topology Optimization

• Abstract : Shape and topology optimization has seen considerable progress in multiple areas recently, in particular in regards to the understanding of non-smoothness and higher order methods. A driving problem class for these new developments have been inverse and reconstruction problems. The goal of this mini-symposium is to bridge the gap between these developments and connect new algorithmic developments with applications.

To this end, the first session focuses on the progression from non-smooth shape optimization problems over Quasi-Newton methods to H^1 and H^2 schemes, while the second part focuses on novel applications and emerging new areas of shape and topology optimization.

• Organizer(s) : Stephan Schmidt, Roland Herzog
• Speakers Info :
• Lukas Baumgärtner (Humboldt Universität zu Berlin)
• Estefania Loayza-Romer (Münster University)
• Nicolas Gauger (Technical University Kaiserslautern)
• Caitriona J. McGarry (University of Leicester)
• Manuel Weiss (Heidelberg University)
• Matthias Schuster (Trier University)
• Phillip Baumann (TU Wien)
• Michael Hinze (Universität Koblenz)
• Contact Person : Stephan Schmidt (Humboldt University Berlin)

[00574] Recent Progress on Stochastic Analysis, Control, and their Applications

• Abstract : This minisymposium features new developments in stochastic analysis, control, and their applications. The invited speakers will be presenting results on impulse control with discontinuous setup costs, deep learning approach for optimal control, optimal control problem for regime-switching processes, and feedback control for switching diffusion systems based on discrete time observations in the first session. The second session will be focused on exponential stability and weak stability of stochastic functional differential equations with impulsive perturbations and a two-time-scale formulation as well as McKean-Vlasov stochastic differential equations. It is anticipated that this minisymposium will help to exchange ideas and stimulate further collaborations.
• Organizer(s) : Chao Zhu
• Speakers Info :
• Dacheng Yao (University of Chinese Academy of Sciences)
• Zhuo Jin (Macquarie University)
• Jinghai Shao (Tianjin University)
• Xiaoyue Li (Northeast Normal University)
• Ky Tran (SUNY Korea)
• Fuke Wu (Huazhong University of Science and Technology)
• Chao Zhu (University of Wisconsin-Milwaukee)

[00575] Factors and Cycles

• Abstract : Factors and cycles are well established subjects in the field of graph theory. They are basic and fundamental problems: for a given graph $G$, taking a regular graph as a spanning subgraph of $G$. On the other hand, factors and cycles have several applications in contexts including error correction coding theory, scheduling problems, wireless networking, and many others.

Regardless of efforts by mathematicians, there are many problems on factors and cycles which are not solved yet. This minisymposium intends to bring pioneer researchers to present their very recent discoveries on factors, cycles and related topics.

• Organizer(s) : Shoichi Tsuchiya
• Speakers Info :
• Jun Fujisawa (Keio University)
• Suil O (The State University of New York, Korea)
• Takamasa Yashima (Seikei university)
• Masahiro Sanka (Keio university)
• Contact Person : Shoichi Tsuchiya (Senshu University)

[00580] Mathematical Challenges in Current and Future Location Estimation Systems

• Abstract : Location-estimation systems, and in particular Global Navigation Satellite Systems (e.g. GPS), are mature and ubiquitous. Many aspects of modern life are today completely dependent on these systems. However, deriving additional benefits (higher accuracy, resilience to jamming and spoofing) from existing systems and building future systems to fill application gaps require addressing challenging mathematical and computational problems. These challenges revolve around difficult nonconvex optimization problems, some with integer parameters, and some in high dimensions. Effective solutions require a combination of state-of-the-art mathematical tools with application-specific insights. The minisymposium will present both challenges and recent progress towards their solution.
• Organizer(s) : Sivan Toledo, Xiao-Wen Chang
• Speakers Info :
• Sivan Toledo (Tel Aviv University)
• Xiao-Wen Chang (McGill University)
• Anthony Man-Cho So (The Chinese University of Hong Kong )
• Peiliang Xu (Kyoto University)

[00581] Analysis, Methods and Applications in Complex Materials

• Abstract : Materials modeling and simulation is essential in underpinning the discovery and synthesis of new materials and chemicals with novel functionalities in various key areas like energy and biomedicine. Materials science provides a rich source of problems in computational mathematics. Meanwhile, mathematicians are crucial to address fundamental questions with a solid theoretical foundation. The overarching goal of this minisymposium is to promote academic exchanges and collaborations among researchers working in the exciting and rapidly developing field of mathematics in materials science, especially focusing on the mathematical theory in complex materials as well as the applications of state-of-art machine-learning techniques.
• Organizer(s) : Xiaoxu Li, Yangshuai Wang
• Speakers Info :
• Yifan Du (Johns Hopkins University)
• Lidong Fang (Michigan State University)
• Juerong Feng (Beijing Normal University)
• Xiaoxu Li (Beijing Normal University at Zhuhai)
• Xue Quan (Beijing Normal University)
• Ting Wang (Academy of Mathematics and Systems Science, Chinese Academy of Sciences)
• Yangshuai Wang (University of British Columbia)
• Liwei Zhang (University of British Columbia)

[00584] Advanced Methods for Structured Eigenvalue Problems and Nonlinear Equations

• Abstract : Structured eigenvalue problems and nonlinear equations arise from many applications including 3D phononic crystals, medical image processing and phase retrieval. Their structure reflects certain physical properties that need to be preserved during calculations, posing a huge challenge for computational scientists. In recent years, many new methods and algorithms have been achieved, such as Jacobi–Davidson type algorithms, Newton-Noda iteration, GPR parameter prediction method, and multi-symplectic block-Lanczos methods. And theoretical analysis receives new progress on generalized orthogonal flow, nonlinear energy minimization and Davis-Kahan theorem. In this minisymposia, the invited speakers will present their recent advances about such interesting subjects.
• Organizer(s) : Zhigang Jia, Yanfei Jing, Yuan Lei, Tiexiang Li
• Speakers Info :
• Tiexiang Li (Southeast University)
• Tsung-Ming Huang (National Taiwan Normal University)
• Bo Dong (Dalian University of Technology)
• Yueh-Cheng Kuo (National University of Kaohsiung)
• Junren Chen (Hong Kong University)
• Xiang Wang (Nanchang University)
• Ching-Sung Liu (National University of Kaohsiung)
• Juan Zhang (Xiangtan University)
• Mei-Heng Yueh (National Taiwan Normal University)
• Jinzhi Huang (Soochow University)
• Shih-Feng Shieh (National Taiwan Normal University)
• Xuan Liu (University of Macau)
• Contact Person : Yuan Lei (Hunan University)

[00586] Challenges for Attaining High-performance in Numerical Software

• Abstract : The architectures of the existing top performing systems are undeniable complex, building upon multi-core units and proprietary interconnects, with very high levels of parallelism. These features pose many challenges to numerical library and application developers. In addition, accuracy of numerical computations, which can be an issue for conventional (e.g., BLAS) or complex algorithms (e.g., eigensolvers), should be concerned. In this minisymposium will discuss recent work on Automatic tuning (AT) by using expandable AI, novel approaches for accuracy verification, and iterative eigensolvers that do not enforcing orthogonality on the iterates thus reducing communication.
• Organizer(s) : Takahiro Katagiri, Osni Marques, Toshiyuki Imamura
• Speakers Info :
• Takahiro Katagiri (Nagoya University)
• Osni Marques (Lawrence Berkeley National Laboratory)
• Toshiyuki Imamura (RIKEN)
• Yuki Uchino (Shibaura Institute of Technology)
• Contact Person : Takahiro Katagiri (Nagoya University)

[00587] Recent Advances in Numerical Methods for Nonlinear Hyperbolic PDEs

• Abstract : Numerically solving hyperbolic systems of conservation and balance laws is a challenging task as their solutions may
develop extremely complicated nonsmooth structures. The number of applications in which such systems arise keeps
increasing and most of the existing methods have their restrictions and disadvantages. Therefore, it is extremely
important to develop new, highly accurate, stable, and robust numerical methods. The mini-symposium will focus on
recent developments in this field of research and will bring together researchers from different countries and provide
an opportunity for in-depth scientific discussion and exchange of ideas on the development, analysis, and applications
of modern methods.
• Organizer(s) : Alina Chertock, Alexander Kurganov
• Speakers Info :
• Manuel Jesús Castro-Díaz (University of Malaga)
• Yulong Xing (Ohio State University)
• Yongle Liu (University of Zurich)
• Alexander Kurganov (Southern University of Science and Technology)
• Alina Chertock (North Carolina State University)
• Maria Lukácová-Medvidová (University of Mainz)
• Kailiang Wu (Southern University of Science and Technology)
• Remi Abgrall (University of Zurich)

[00589] Computational Biomedical Physics and Mechanics

• Abstract : Computational methods play a fundamental role in modern science and health research. This symposium is aimed to provide a platform to get computational experts to share recent simulation efforts in areas of biomedical physics and mechanics. The topics include but are not limited to biomedical fluid dynamics, treatment planning and computational surgery, anatomical modeling from medical imaging, multi-physics modeling of biological processes, medical acoustics applied to hyperthermia and focused ultrasound therapy, ion channels/transporters study by continuum models, kinetic models and molecular dynamics.
• Organizer(s) : Tzyy-Leng Horng, Maxim Solovchuk
• Speakers Info :
• Tzyy-Leng Horng (Feng Chia University)
• Kumar Saurabh (National Health Research Institutes)
• Yen-De Chou (National Taiwan University)
• Maxim A Solovchuk (National Health Research Institutes)

[00592] Optimization and Inverse Problems

• Abstract : In an inverse problem, we want to come up with a good description of a phenomenom from bad measurements. Industrial-scale inverse problems include, in particular, medical and biological imaging, structural health monitoring, and process monitoring. Generally the inverse problem takes the form of an ill-posed operator equation, linear or nonlinear. To solve such a problem, often the problem is given a variational formulation to which regularisation is added to promote desirable solution features. The solution of the inverse problem then becomes dependent on efficient optimisation methods. The talks in this minisymposium cover recent research in the area. They present general-purpose optimisation algorithms and numerical techniques, and the application of such methods to inverse problems.
• Organizer(s) : Tuomo Valkonen, Elena Resmerita
• Speakers Info :
• Elena Resmerita (Alpen-Adria University of Klagenfurt)
• Jean-Jacques Godeme (Universite Caen Normandie)
• Salla Latva-Äijö (University of Helsinki)
• Luca Ratti (University of Genova)
• Felix Schneppe (University of Braunschweig)
• Xiaoyu Wang (University of Cambridge)
• Tobias Wolf (Alpen-Adria University of Klagenfurt)
• Jyrki Jauhiainen (University of Helsinki)
• Contact Person : Tuomo Valkonen (Escuela Politécnica Nacional)

[00593] Advances in Nonlinear Dynamics

• Abstract : The aim of dynamical systems theory is to understand the long term behavior of large sets of initial conditions, often
for highly nonlinear models coming from realistic application problems. Due to the importance of nonlinear models, numerical calculations have long played an important role. In this session we bring together experts to discuss problems at the frontiers of our understanding. Some talks will focus on new computational methods, some on attempts to understand more and more realistic models, and some on theoretical issues which inform our approach to computational dynamics.
• Organizer(s) : Evelyn Sander, Jason Mireles James
• Speakers Info :
• Gary Froyland (UNSW Sydney)
• Emmanuel Fleurantin (George Mason University, University of North Carolina)
• Jorge Gonzalez (Georgia Tech)
• Hinke Osinga (University of Auckland)
• Vered Rom-Kedar (The Weizmann Institute )
• Wai-Ting Lam (Florida Atlantic University )
• Alessandra Vizzaccaro (University of Exeter)
• Marian Gidea (Yeshiva University )
• Alex Blumenthal (Georgia Institute of Technology )
• Caroline Wormell (Australian National University )
• Zin Arai (Tokyo Institute of Technology )
• Bernd Krauskopf (University of Auckland )
• Contact Person : Jason Desmond Mireles James (Florida Atlantic University)

[00595] Combinatorial topological dynamics

• Abstract : Recent years have seen the rapid development of topological data analysis. Via combinatorial modeling of space, TDA enables the study of the geometry of data using persistent homology. In particular, it may be used to analyze the phase space of a sampled dynamical system, thereby providing a static image. To get a dynamic view, a better understanding of classical topological tools in dynamics in the context of data is needed. The aim of this session is to bring together researchers from TDA and dynamical systems to study dynamic aspects of data via topological tools, in particular Morse and Conley theory.
• Organizer(s) : Konstantin Mischaikow, Marian Mrozek, Thomas Wanner
• Speakers Info :
• Konstantin Mischaikow (Rutgers University)
• Michal Lipinski (Polish Academy of Sciences)
• Vidit Nanda (University of Oxford)
• Andrey Jivkov (University of Manchester)
• Tamal Dey (Purdue University)
• Claudia Landi (Universita degli Studi di Modena e Reggio Emilia)
• Elizabeth Bradley (University of Colorado Boulder)
• Elizabeth Munch (Michigan State University)
• Oliver Junge (Technical University of Munich)
• Marcio Gameiro (Rutgers University)
• Ewerton Vieira (Rutgers University)
• Pedro Chocano (Universidad Rey Juan Carlos)
• Contact Person : Thomas Wanner (George Mason University)

[00598] Hyperplane arrangements and enumerative problems

• Abstract : Hyperplane arrangements appear in many areas of mathematics, including topology, combinatorics, algebraic geometry. One of the important aspects is that hyperplane arrangements have several discrete structures e.g., poset of intersections, chambers, lattice points. Enumerations of these objects play crucial roles in many problems, e.g., enumerative problems, coding theory. In this minisymposium, we focus on enumerative aspects of these objects.
• Organizer(s) : Masahiko Yoshinaga, Norihiro Nakashima
• Speakers Info :
• Tsuyoshi Miezaki (Waseda University)
• Norihiro Nakashima (Nagoya Institute of Technology)
• Yasuhide Numata (Hokkaido University)
• Shuhei Tsujie (Hokkaido University of Education)
• Contact Person : Masahiko Yoshinaga (Osaka University)

[00603] Mean field stochastic control problems and related topics

• Abstract : Mean-field (or, McKean-Vlasov) SDEs have been studied for a long time and have found lots of applications in different domains. Recently, with their pioneering seminal papers (2006-2007) on mean-field games and their applications in economics, finance and game theory, Lasry and Lions have given new impulses to this research topic, opened the way to new applications and attracted lots of researchers to this topic. One of these applications is the study of mean-field stochastic optimal control problems. In our symposium we will study the viability property for controlled mean-field flows, the mass-conserving SPDE coming from spatial mean-field term, etc.
• Organizer(s) : Juan Li
• Speakers Info :
• Juan Li (Shandong University)
• Jie Xiong (Southern University of Science and Technology)
• Qi Zhang (Fudan University)
• Huilin Zhang (Shandong University)

[00604] Frontiers of Collaboration with Industry: Towards International Mathematical Commons

• Abstract : This mini-symposium introduces the forefront of various organizational initiatives aimed at mathematical research and educational institutions around the world using the power of mathematics for solving industrial problems, including activities to provide a basic environment and to promote the building of relationships with industry. By sharing not only the outputs but also various issues and solutions conducted through these activities with participants, we expect to contribute to the formation of an international platform, a mathematical common, where mathematicians, together with industry, can overcome the myriad of difficulties our society must confront.
• Organizer(s) : Kenji Kajiwara, Takashi Sakajo, Hiroshi Suito
• Speakers Info :
• Ulrike Tillmann (Isaac Newton Institute, University of Cambridge)
• Lesley Ward (University of South Australia)
• Christian Ratsch (IPAM, University of California Los Angeles)
• Kenji Kajiwara (Institute of Mathematics for Industry, Kyushu University)
• Nataša Krejić (University of Novi Sad)
• Peregrina Quintela (University of Santiago de Compostela)
• Zainal Aziz (Universiti Teknologi Malaysia)
• Yuliy Baryshnikov (University of Illinois Urbana-Champaign)

[00607] Analysis and computation of interface evolution equation and related topics

• Abstract : Analyzing and computational methods for interfacial motion including some singularities or topological changes has been continued to develop and applied to various fields. Recently, these methods are extended to the problems with strong singularity and constraint, nonlocal evolution law, or coupling system and other phenomena. In these developments, there has been high demand for fast and accurate computing, and rigorous mathematical analysis of parametric or non-parametric interface motion. This minisymposium will feature the recent developments on modelling, computation and analysis for interface evolution equation involving the above motivation and related topics.
• Organizer(s) : Takeshi Ohtsuka, Yoshihito Kohsaka
• Speakers Info :
• Nao Hamamuki (Hokkaido University)
• Elliott Ginder (Meiji University)
• Yen Hsi Richard Tsai (University of Texas at Austin)
• Phillip Schrader (Murdoch University)
• Contact Person : Takeshi Ohtsuka (Gunma University)

[00608] Limit behavior and asymptotic properties in fluid mechanics

• Abstract : The mathematical analysis of problems from fluid mechanics under the passage to certain limits can lead to new insights into the underlying physics and can help to improve numerical implementations. This minisymposium brings together scientists studying such kinds of asymptotic behaviors in different settings. The speakers present their research on homogenization problems and singular limits for fluid models, as well as on long-time and far-field behavior of fluid flows. Bringing together scientists working on these very different kinds of limit problems might create synergies between their approaches that usually differ significantly.
• Organizer(s) : Thomas Eiter, Florian Oschmann
• Speakers Info :
• Christian Seis (University of Münster)
• Keiichi Watanabe (Waseda University)
• Tomoki Takahashi (Nagoya University)
• Ana Leonor Silvestre (Department of Mathematics and CEMAT, Instituto Superior Técnico, Universidade de Lisboa)
• Yong Lu (Nanjing University)
• Roberta Marziani (TU Dortmund)
• Ewelina Zatorska (Imperial College London)
• Florian Oschmann (Czech Academy of Sciences)
• Aneta Wróblewska-Kamińska (Polish Academy of Science)
• David Gérard-Varet (Université Paris Cité)
• Jou chun Kuo (Waseda University)
• Helena Nussenzveig Lopes (Federal University of Rio de Janeiro)
• Contact Person : Thomas Eiter (Weierstrass Institute for Applied Analysis and Stochastics)

[00612] New models and methods for capacity planning and scheduling

• Abstract : Scheduling theory has received a wide coverage in the literature on operations research and discrete optimization over the last five decades or so, but the literature seems to have reached a “sink” equilibrium with respect to the standard assumptions and parameters to be included in the models. In this symposium we aim to present recent new scheduling models that extend the classic ones, and where the extensions have a direct link with practical operations scheduling in a variety of industries. We focus especially also on computational methods for solving the new models.
• Organizer(s) : Roel Leus, Norbert Trautmann
• Speakers Info :
• Roel Leus (KU Leuven)
• Norbert Trautmann (University of Bern)
• Fan Yang (Shanghai Normal University)
• Shunji Tanaka (Kyoto University)
• Guopeng Song (National University of Defense Technology)
• Wenchao Wei (Beijing Jiaotong University)
• Tamas Kis (Institute for Computer Science and Control)

[00615] Nonlinear PDEs & Probability

• Abstract : The aim of this mini-symposium is to present recent results in analysis and probability with applications to the study of nonlinear PDEs relating to mathematical physics, kinetic theory, and fluid mechanics. This includes questions of regularity and irregularity, stability, and geometric properties of solutions.  We want to bring together young researchers and specialists to foster scientific exchange and explore new exciting developments in the fields.
• Organizer(s) : Tatsuya Miura, Tobias Ried, Jonas Sauer
• Speakers Info :
• Alexandra Neamtu (University of Konstanz)
• Masato Hoshino (Osaka University)
• Shuntaro Tsubouchi (The University of Tokyo)
• Tim Laux (University of Bonn)
• Takashi Kagaya (Muroran Institute of Technology)
• Raphael Winter (Universität Wien)
• Li Chen (University of Mannheim)
• Makiko Sasada (The University of Tokyo)
• Contact Person : Tobias Ried (Max Planck Institute for Mathematics in the Sciences)

[00616] Continuous optimization: theoretical and algorithmic trends

• Abstract : Continuous optimization is one of the main areas in Applied Mathematics. It has
plentiful applications and rich theory and algorithms. This mini-symposium
presents recent advances in the area, starting from important theoretical
aspects of optimality conditions that guide the development of different
algorithms based on higher order information, like Newton-type and third-order
algorithms. Many of the methods also exploit the specific structure of the
underlying application to achieve high performance. Finally, the mini-symposium
also pays tribute to José Mario Martínez’s influence in the field. The
contributions can be somewhat linked to his insightful ideas in different
periods of his career.
• Organizer(s) : Paulo J. S. Silva, Roberto Andreani
• Speakers Info :
• Paulo J. S. Silva (University of Campinas)
• Roberto Andreani (University of Campinas)
• Luis Felipe Bueno (Universidade Federal de Sao Paulo)
• Ernesto G. Birgin (University of Sao Paulo)
• Natasa Krejic (University of Novi Sad, Serbia)
• Geovani Nunes Grapiglia (Universite Catholique de Louvain)
• Stefania Bellavia (Universita’ di Firenze)
• Gerardo Toraldo (University of Campania)

[00621] Frontiers of Collaboration with Industry: Succeeding through Failure

• Abstract : Corresponding to the organizational efforts introduced in the mini-symposium “Frontiers of Collaboration with Industry: Towards International Mathematical Commons,” this mini-symposium introduces diverse efforts at practical research activities that engage mathematicians, together with companies, to solve specific problems. With a spirit of collaboration, we aim at sharing with participants some issues and challenges at the forefront of mathematical science research, a collaborative system with companies, and various mathematical ideas for application to problem-solving. Through collaboration between industry and mathematical science, all are intended for the successful resolution of the many issues which must be addressed by our society.
• Organizer(s) : Takashi Sakajo, Kenji Kajiwara, Hiroshi Suito
• Speakers Info :
• Lesley Ward (University of South Australia)
• Katsuki Fujisawa (Kyushu University)
• Zachary Brennan (Iowa State University)
• Hiroshi Suito (Tohoku University)
• Takashi Sakajo (Kyoto University)
• Mark McGuiness (Victoria University of Wellington)
• Tony Jakeman (Australian National University)
• Busayamas Pimpunchat (King Mongkut’s Institute of Technology Ladkrabang)

[00622] Inverse Problems and Imaging

• Abstract : Inverse problems are concerned with determining unknown parameters of interest from indirect, partial, and noisy measurements with the aid of a mathematical model. Such problems are fundamental in biomedical imaging, non-destructive testing, and modern astronomy. Often, these parameters take the form of images rather than scalar or vector-valued parameters, requiring special methods adapted to the distributed structure. The aim of this minisymposium is to gather an active group of researchers working on variational methods for solving inverse and imaging problems, in order to foster increased interaction between these fields and those of applications in science, technology, and industry.
• Organizer(s) : Christian Clason
• Speakers Info :
• Christian Clason (University of Graz)
• Bochra Mejri (RICAM Linz)
• Matthias Beckmann (University of Bremen)
• Frank Werner (University of Würzburg)
• Simon Göppel (University of Innsbruck)
• Yakun Dong (University of Vienna)
• Alexander Meaney (University of Helsinki)
• Samuel Tull (University of Cambridge)
• Teresa Rauscher (University of Klagenfurt)
• Maximilian Winkler (TU Braunschweig)

[00624] At the interface between neural networks and differential equations

• Abstract : Deep neural networks have recently been used to design innovative, and arguably revolutionary, methods for solving a large number of challenging problems from science and engineering which are modeled by differential equations. Conversely, differential equations provide an important set of tools for understanding methods based upon neural networks. This minisymposium is dedicated to recent progress at the interface between neural networks and differential equations, including topics such as the theoretical convergence analysis and computation of neural networks for solving high dimensional PDEs in addition to the analysis, training, and design of neural networks using perspectives from the study of differential equations.
• Organizer(s) : Yulong Lu, Jonathan Siegel, Stephan Wojtowytsch
• Speakers Info :
• Yeonjong Shin (KAIST)
• Wenjing Liao (Georgia Institute of Technology)
• Bao Wang (University of Utah)
• Yiping Lu (Stanford University)
• Zhengdao Chen (New York University)
• Marco Mondelli (Institute of Science and Technology Austria)
• Yang Jing (Shanghai Jiao Tong University)
• Kanan Gupta (Texas A&M University)
• Contact Person : Yulong Lu (University of Massachusetts Amherst)

[00625] Mathematical Modeling and Combinatorial Optimization

• Abstract : Combinatorial optimization problems aim to compute optimal solutions under a series of constraints, where the set of feasible solutions is discrete, such as scheduling and routing problems. It involves thousands of real-world problems. This minisymposium will focus on mathematical modeling and combinatorial optimization. We have eight junior and senior researchers giving their latest research results on algorithm design, modeling of real-world problems and simulation. The purpose of this minisymposium is to discuss new ideas and challenging problems, as well as to explore new research topics.
• Organizer(s) : Yannan Hu
• Speakers Info :
• Wei Wu (Shizuoka University)
• I-Lin Wang (National Cheng Kung University )
• Kenichi Tanaka (Keio University)
• Shinji Imahori (Chuo University)
• Hiroki Numaguchi (Tokyo University of Science)
• Kazuki Hasegawa (Shizuoka University)
• Ryo Kurosu (Kyoto University)
• Takumi Tada (Kyoto University)
• Contact Person : Yannan Hu (Tokyo University of Science)

[00626] Finite element complexes for structure-preservation in continuum mechanics

• Abstract : Exact sequences of function spaces, called complexes, have played a central role in developing structure-preserving numerical methods in the framework of the finite element exterior calculus. Discrete preservation of the underlying complex structure between function spaces often preserves physical quantities and conservation laws of interest; examples include pressure-robust schemes for Navier–Stokes flows, conservation of angular momentum in linear elasticity, and propagation of the constraint equations of general relativity. In this minisymposium, we seek to investigate how far this approach can be taken by bringing together numerical analysts from across the broad spectrum of continuum mechanics problems arising in applications.
• Organizer(s) : Francis Aznaran, Charles Parker
• Speakers Info :
• Yizhou Liang (Peking University)
• Qian Zhang (Michigan Technological University)
• Evan Gawlik (University of Hawaii at Manoa)
• Brian Tran (University of California San Diego)
• Kendrick Shepherd (Brigham Young University)
• Pablo Brubeck Martinez (University of Oxford)
• Adam Sky (University of Luxembourg)
• Ali Gerami (EXP Global)
• Nathaniel Trask (Sandia National Laboratories)
• Claire Scheid (Côte d’Azur University)
• Karina Kowalczyk (Imperial College London)
• Christopher Eldred (Sandia National Laboratories)
• Contact Person : Francis Raul Anthony Aznaran (University of Oxford)

[00632] From model-blind to model-aware learning of inverse problems in imaging

• Abstract : In recent years, there has been an increasing interest in exploring how to combine the practical advantages of learning-based methods with the theoretical understanding and the convergence guarantees coming from model-based approaches for the regularisation of ill-posed inverse problems. This mini-symposium will bring together researchers working on data-driven methods and deep learning for inverse problems in the attempt to providing an overview of the mathematical insights able to shed light on how learned image reconstruction approaches can be reliable tools for real-world applications.
• Organizer(s) : Tatiana A. Bubba, Luca Calatroni, Luca Ratti
• Speakers Info :
• Samuli Siltanen (University of Helsinki)
• Andrea Sebastiani (University of Bologna)
• Silvia Sciutto (University of Genoa)
• Alice Oberacker (Universität des Saarlandes)
• Serena Morigi (University of Bologna)
• Julian Tachella (CNRS and ENS de Lyon)
• Malena Sabaté Landman (Department of Applied Mathematics and Theoretical Physics, University of Cambridge)
• Sadegh Salehi (University of Bath)
• Contact Person : Tatiana Alessandra Bubba (University of Bath)

[00635] Mean field games and optimal transport with applications in data science and biology

• Abstract : Mean field games (MFG) study the behavior of individual players in large populations, where each player controls their own state, while some collective behavior is considered for decision-making. Specific MFG models can be
formulated as generalized measure transportation problems, exemplifying one of the tight connections to
optimal transport (OT).

This mini-symposium highlights the close relationship between MFG and OT, advancing research directions in
modeling and numerical algorithms, and expanding fields of applications. Particular emphasis will lie on new
applications in data science, such as point-cloud analysis on networks, and in biology, such as single-cell data
integration.

• Organizer(s) : Shiying Li, Wuchen Li, Siting Liu, Caroline Moosmueller
• Speakers Info :
• Siting Liu (UCLA)
• Renyuan Xu (University of Southern California)
• Abhishek Halder (University of California, Santa Cruz)
• Shu Liu (UCLA)
• Smita Krishnaswamy (Yale University)
• Thomas Needham (Florida State University)
• Ritambhara Singh (Brown University)
• Geoffrey Schiebinger (University of British Columbia)
• Contact Person : Caroline Moosmueller (University of North Carolina at Chapel Hill)

[00638] Minisymposium on Interaction between Harmonic Analysis and Data Science

• Abstract : Over the last twenty years, data science, machine learning, and deep learning in particular, has begun transforming the global economy and modern life. While much attention is focused on purely empirical data mining results, there are considerable mathematical structures and a growing body of theory about how the structures relate to observable properties of real-world systems. Discovering such structures may lead to important mathematical insights and implications for practitioners. The minisymposium will facilitate interactions between harmonic analysts and experts on the theory of data science, machine learning, and deep learning to foster further research in this fast developing area.
• Organizer(s) : Hrushikesh Mhaskar, Nicole Muecke, Ding-Xuan Zhou
• Speakers Info :
• Dmitry Batenkov (Tel Aviv University)
• Alessandro Felisi (University of Genoa)
• Jun Fan (Hong Kong Baptist University)
• Xin Guo (University of Queensland)
• Emtiyaz Khan (RIKEN center for Advanced Intelligence Project)
• Nicole Muecke (Technical University of Brunswick)
• Ryan O’Dowd (Claremont Graduate University)
• Goetz Pfander (Katholische Universitaet Eichstaett)
• Rayan Saab (University of California, San Diego)
• Gabriele Steidl (Technische Universitaet Berlin)
• Contact Person : Dingxuan Zhou (University of Sydney)

[00640] Variational Analysis: Theory and Applications

• Abstract : Variational Analysis lies at the heart of modern optimization and underlies the convergence analysis of many algorithms. The purpose of this session is to bring together selected experts from the worldwide optimization and analysis communities to exchange ideas and present new results. We will strike a balance between early-career researchers and experts.
• Organizer(s) : Heinz Bauschke, Xianfu Wang
• Speakers Info :
• Heinz Bauschke (University of British Columbia)
• shawn xianfu wang (University of British Columbia)
• Wen Song (Harbin Normal University)
• Andreas Themelis (Kyushu University)
• Isao Yamada (Tokyo Institute of Technology)
• Xiyin Zheng (Yunnan University)

[00641] Emerging Collaborations: Mathematical Views of Modelling Biological Scales

• Abstract : In this session, we highlight interdisciplinary efforts of mathematicians whose work integrates biological processes and mathematical tools. Often researchers focus on modeling or simulating with a particular biological scale in mind while neglecting the dynamical connections across scales. The aims of the work showcased in this symposium are to develop and use efficient algorithms, data structures, visualization, and communication tools with the goal of computer modeling of biological systems from the cellular to the population scale. This minisymposium features speakers who are currently working in this area and have an interest in establishing new collaborations.
• Organizer(s) : Amy Buchmann, Candice Price, Arietta Fleming-Davies
• Speakers Info :
• Amy Lyn Buchmann (University of San Diego)
• Candice Price (Smith College)
• Arietta Fleming-Davies (University of San Diego)
• Karamatou Yacoubou Djima (Wellesley College)
• Ami Radunskaya (Pomona College )
• Erica Graham (Bryn Mawr College)
• Alicia Prieto Langarica (Youngstown State University)
• Brittany Bannish Laverty (University of Central Oklahoma)

[00642] Traveling Waves in Mathematical Epidemiology

• Abstract : Wave propagation in epidemic models is known as one of the interesting issues in the field of mathematical epidemiology. Mathematical theory of traveling wave solutions in epidemic models has been developed in recent years. In many cases, the basic reproduction number or a corresponding threshold value plays an important role in determining the existence of the traveling wave. The purpose of this minisymposium is to share and discuss recent developments and results on this topic among interested researchers.
• Organizer(s) : Yoichi Enatsu, Toshikazu Kuniya
• Speakers Info :
• Mostafa Adimy (INRIA)
• Yoichi Enatsu (Tokyo University of Science)
• Masahiko Shimojo (Tokyo Metropolitan University)
• Ran Zhang (Heilongjiang University)
• Contact Person : Toshikazu Kuniya (Kobe University)

[00645] Numerical methods for semiconductor devices simulation and the computational lithography

• Abstract : As the feature size of modern integrated circuits goes to nanometer-scale, design and analysis of integrated circuits become very complicated. Quantum mechanical phenomena become prominent and must be considered in numerical of semiconductor device simulation. At the same time, rigorous computational lithography beyond Kirchhoff approximation becomes more important, but are too resource intensive to use for full chip applications. Efficient and accurate numerical simulation of device and lithography continues to be a challenge. We are concerned with the numerical modeling of semiconductor devices simulation and electromagnetic computation in lithography. Of particular interest to this minisymposium are advances on numerical methods.
• Organizer(s) : Junqing Chen,Tao Cui,Wenhao Lu ,Weiying Zheng
• Speakers Info :
• Wenhao Lu (Academy of Mathematics and Systems Science, Chinese Academy of Sciences)
• Weiying Zheng (Academy of Mathematics and Systems Science, Chinese Academy of Sciences)
• Tao Cui (Academy of Mathematics and Systems Science, Chinese Academy of Sciences)
• Zhiming Chen (Academy of Mathematics and Systems Science, Chinese Academy of Sciences)

[00652] Recent Advances in Quasi-Monte Carlo Methods and Related Topics

• Abstract : Many applications, such as computational finance, uncertainty quantification involving PDEs with random inputs, and training of deep neural networks, require tackling computational problems with high dimensions. This minisymposium will bring together people working in Quasi-Monte Carlo (QMC) methods, a powerful class of methods for such problems with high dimensionality. More specifically, QMC methods have been proved efficient for integration over the multi-dimensional unit cube, over other domains, function approximation, and density estimation. In this minisymposium, we aim to showcase recent advances in QMC methods and foster interaction between researchers working in these areas.
• Organizer(s) : Takashi Goda, Yoshihito Kazashi
• Speakers Info :
• Cong-Pei An (Southwestern University of Finance and Economics)
• Johann Brauchart (Graz University of Technology)
• Josef Dick (University of New South Wales)
• Zhijian He (South China University of Technology)
• Vesa Kaarnioja (Free University of Berlin)
• Ilja Klebanov (Free University of Berlin)
• Pierre L’Ecuyer (University of Montreal)
• Makoto Matsumoto (Hiroshima University)
• Dirk Nuyens (KU Leuven)
• Art Owen (Stanford University)
• Ian Sloan (University of New South Wales)
• Xiaoqun Wang (Tsinghua University)
• Contact Person : Takashi Goda (The University of Tokyo)

• Abstract :
To a finite poset $P$ we associate two algebraic objects: the order polynomial $Omega(P,n)$, which counts the number of order preserving labeling maps of posets from $P$ to $1<2 • Organizer(s) : Eric Rubiel Dolores-Cuenca • Speakers Info : • Eric Rubiel Dolores Cuenca (Yonsei University) • Masahiko Yoshinaga (Osaka University) • Khushdil Ahmad (Government College University) • Jose Antonio Arciniega-Nevarez (Universidad de Guanajuato) [00656] Multiscale Pattern Formation • Abstract : One way to understand the complex dynamics in dissipative systems is to decompose the object into subsystems with different spatiotemporal scales. The resulting subsystems could be unified by singular perturbation, fast-slow method, unfolding of singularities, bifurcation, and data-driven approaches. We collect 12 talks to present the state-of-the-art multi-scale pattern formation arising in biology, chemical reaction, fluid dynamics, and materials science in homogeneous and heterogeneous media. One of our goals is to find a promising direction in the newly emerging field of multiscale pattern formation problems. • Organizer(s) : Yasumasa Nishiura, Arjen Doelman • Speakers Info : • Yasumasa Nishiura (Hokkaido University/Chubu University) • Paul Carter (University of California) • Martina Chirilus-Bruckner (Leiden University) • Ryan Goh (Boston University) • Bjorn de Rijk (Karlsruhe Institute of Technology) • Michael Ward (University of British Columbia) • Shuangquan Xie (Hunan University) • Justin Tzou (Macquarie University) • Edgar Knoblogh (University of California) • Takashi Teramoto (Asahikawa Medical University) • Natsuhiko Yoshinaga (Tohoku University) • Kei-Ichi Ueda (University of Toyama) [00670] Financial Risk Management and Related Topics • Abstract : The development of mathematical models used in financial risk management over the past few decades has been remarkable, and it is certainly an area of applied mathematics where many important research topics remain to be explored. This mini-symposium will focus on discussing recent topics related to mathematical methods for quantitative financial risk management. Specifically, topics such as credit risk modeling, applications of stochastic analysis to risk management, risk measures, multivariate statistical modelings, and so on will be presented. • Organizer(s) : Hidetoshi Nakagawa, Suguru Yamanaka • Speakers Info : • Hidetoshi Nakagawa (Hitotsubashi University Business School) • Rusudan Kevkhishvili (Kyoto University) • Kensuke Ishitani (Tokyo Metropolitan University) • Olivier le Courtois (Emlyon Business School) • Kiichi Kitajima (Mitsubishi UFJ Trust Investment Technology Institute) • Benjamin Poignard (Osaka University) • Suguru Yamanaka (Aoyama Gakuin University) • Toshinao Yoshiba (Tokyo Metropolitan University) • Contact Person : Suguru Yamanaka (Aoyama Gakuin University) [00672] Efficient inference for large and high-frequency data • Abstract : In this minisymposium, the notion of asymptotically efficient estimation and asymptotically efficient statistical decision is discussed for various models appearing in finance and econometrics. For some applications, the data are acquired at high-frequency and in-fill observation scheme is considered. Here, asymptotical properties of the estimators for the parameters of the rough volatility models in quantitative finance and for the solutions of stochastic differential equations with jumps or with singular coefficients will be presented. In other applications, the large sample observation scheme is used. Asymptotical efficient statistical decisions and estimations are introduced for time series in econometrics (FARIMA, Threshold AR). • Organizer(s) : Alexandre Brouste, Mathieu Rosenbaum • Speakers Info : • Elise Bayraktar (Université Gustave Eiffel) • Laurent Denis (Le Mans Université) • Ahmed Kebaier (Université d’Évry) • Hiroki Masuda (The University of Tokyo) • Grégoire Szymanski (École Polytechnique) • Carsten Chong (Columbia University) • Mikko Pakkanen (University of Waterloo) • Tetsuya Takabatake ( Hiroshima, University) • Yury Kutoyants (Le Mans Université) • Youssef Esstafa (Le Mans University) • Marius Soltane (UT Compiègne) • Lionel Truquet (ENSAI) • Contact Person : Alexandre Brouste (Le Mans Université) [00673] Recent advances in discontinuous Galerkin methods and the related applications • Abstract : Discontinuous Galerkin methods are widely employed in computational science and engineering fields, as they offer accurate and efficient simulations. In particular, discontinuous Galerkin methods offer appealing features including high-order approximation, hp adaptivity, and local mass conservations, which are particularly important for practical applications. The development, analysis, and applications of discontinuous Galerkin methods have stimulated significant research. The aim of this mini-symposium is to gather experts as well as junior researchers in the field to introduce recent achievements on discontinuous Galerkin methods and the related applications, as well as promote exchanges. • Organizer(s) : Eric Chung, Lina Zhao • Speakers Info : • Paola Antonietti (Politecnico di Milano) • Hyea Hyun Kim (Kyunghee University) • Guosheng Fu (University of Notre Dame) • Lina Zhao (City University of Hong Kong) • Jennifer Ryan (KTH Royal Institute of Technology) • Issei Oikawa (University of Tsukuba) • Jie Du (Tsinghua University) • Changxin Qiu (Ningbo University) [00674] Modern numerical methods for PDE-constrained optimization and control • Abstract : Control problems, including optimization problems with PDE constraints, have numerous applications across science and engineering, including chemical processes, mathematical biology, fluid flow control, imaging problems, and mean-field games. Of crucial importance is to develop efficient and robust numerical schemes which can solve mathematical models for such problems and the large-scale optimality systems. This can involve accurate and stable discretization schemes, modern linear algebra to solve systems of equations resulting from such problems, and, increasingly, technologies from parallel computing. This session will cover the state-of-the-art in the design of numerical methods for such problems, arising from a range of scientific applications. • Organizer(s) : Dante Kalise, John Pearson • Speakers Info : • John Pearson (University of Edinburgh) • Roland Herzog (University of Heidelberg) • Federica Ferrarese (Universita di Verona) • Alessandro Alla (Universita Ca’Foscari Venezia) • Luca Saluzzi (Imperial College) • Abderrahmane Habbal (University Cote d’Azur Inria) • Martin Gander (Universite de Geneve) • Manuel Schaller (TU Ilmenau) [00675] New trends in (optimal) control theory • Abstract : The goal of this mini-symposium is to bring together experts in several fields of interest in control and optimal control theory, including controllability, stabilization, and large-time behavior of optimal controls, in order to foster scientific interactions. This mini-symposium also aims to be at the intersection between theoretical issues and applications, notably to machine learning, traffic flow and microswimmers. • Organizer(s) : Pierre Lissy, Idriss Mazari • Speakers Info : • Laetitia Giraldi (INRIA Sophia Antipolis) • Roberto Guglielmi (University of Waterloo) • Teresa Scarinci (Università di Cassino) • Borjan Geshkovski (Massachusetts Institute of Technology) • Rémi Robin (INRIA Paris) • Thibault Liard (Université de Limoges) • Michael Schuster (Friedrich-Alexander-Universität Erlangen-Nürnberg) • Carlos Esteve-Yagüe (University of Cambridge) • Contact Person : Pierre Lissy (Université Paris-Dauphine) [00687] Recent advances in deep learning-based inverse and imaging problems • Abstract : The interplay of deep learning with inverse and imaging problems has seen a tremendous progress during the last years producing state-of-the-art results in most tasks. Apart from the availability of large data and the increased computing power, this progress has been mainly facilitated by the development of rigorous theoretical investigations. The purpose of this minisymposium is to bring together experts in data-driven inverse imaging problems who work both in theory and applications. The aim is to stimulate a fruitful knowledge exchange about how mathematical theories can contribute and further develop this field. • Organizer(s) : Guozhi Dong, Michael Hintermüller, Kostas Papafitsoros • Speakers Info : • Eldad Haber (University of British Columbia) • Bin Dong (Peking University) • Juan Carlos De Los Reyes (Escuela Politécnica Nacional) • Kui Ren (Columbia University) • Bangti Jin (The Chinese University of Hong Kong) • Zuoqiang Shi (Tsinghua University) • Martin Holler (University of Graz) • Andreas Hauptmann (University of Oulu) • Seb Scott (University of Bath) • Tim Roith (University of Erlangen-Nuremberg) • Clemens Sirotenko (Weiestrass Institute for Applied Analysis and Stochastics) • Ahsan Raza Siyal (University of Innsbruck) • Contact Person : Guozhi Dong (Central South University, China) [00690] Computational methods for interfaces in physics an mechanics • Abstract : This minisymposium gathers analysts interested in the evolution of interfaces, singularities and lower dimensional objects, applied to fracture evolution, inverse problems, or shape optimization, and more. Fracture can be computed by successive minimizations of “free discontinuity” energies, approached with phase-field methods. Evolving or static interfaces, or lower dimensional singularities, can be computed by discretizing geometric measure theoretical objects. Level sets methods can be used to identify defects in conductive media. The speakers address such issues from different point of views or apply similar methods to different problems. This will foster fruitful interaction between the participants and the audience. • Organizer(s) : Antonin Chambolle, Blaise Bourdin • Speakers Info : • Stephanie Wang (University of California San Diego) • Antonio Leitão (Federal University of Santa Caterina) • Elie Bretin (Institut Camille Jordan) • Dominik Stantejsky (McMaster University) • Braxton Osting (University of Utah) • Karel Svadlenka (Kyoto University) • Selim Esedoglu (University of Michigan) • Blaise Bourdin (McMaster UniversityMcMaster University) [00696] Scientific Machine Learning for Inverse Problems • Abstract : Inverse problems address learning complex systems from data. They are ubiquitous in various computational science and engineering areas with grand social impacts, e.g., geophysics, climate change, space missions, and health. Solving an inverse problem requires many solves of the forward model and can be challenging for complex and large-scale problems, e.g., those governed by partial differential equations. Recently, the development of scientific machine learning$(text{SciML})$has made tremendous progress in overcoming those challenges. This minisymposium covers progress on$(text{i})$the methodology development of SciML-based techniques for inverse problems, and$(text{ii})\$ the applications of SciML methods in solving complex inverse problems.
• Organizer(s) : Jinlong Wu, Peng Chen
• Speakers Info :
• Jinlong Wu (University of Wisconsin-Madison)
• Lu Lu (University of Pennsylvania)
• Lianghao Cao (The University of Texas at Austin)
• Shuigen Liu (National University of Singapore)
• Xueyu Zhu (The University of Iowa)
• Wenxiao Pan (University of Wisconsin-Madison)
• Peng Chen (Georgia Institute of Technology)
• Francesco Regazzoni (MOX, Dipartimento di Matematica, Politecnico di Milano)
• Felix Herrmann (Georgia Institute of Technology)
• Yaohua Zang (Zhejiang University)

[00702] Sequential Decision Making for Optimization, Learning and Search

• Abstract : Key problems such as hyperparameter optimization, model calibration, and inverse/optimal design often involve exploring design spaces to identify desirable designs for one or more objectives of great value and great cost. Intelligently experimenting in this design space is fundamental to gaining valuable, actionable insights in a viable amount of time. In this minisymposium, we will discuss some of the common methodologies for identifying high-performing and optimal designs, including Bayesian and genetic methods, and several exciting applications which motivate the research in this field.
• Organizer(s) : Michael McCourt
• Speakers Info :
• Michael McCourt (SigOpt, an Intel company)
• Hideaki Imamura (Preferred Networks, Inc)
• Masahiro Nomura (CyberAgent)
• Jungtaek Kim (University of Pittsburgh)

[00704] Numerical Software Libraries Enabling Benefits to Scientific Applications

• Abstract : Numerous numerical software libraries have high quality implementations of efficient algorithms and thus
facilitate transfer of new algorithms developed in academia into scientific applications, including those in labs
and industry. Recently, use of these libraries by labs and industry has significantly increased, and the value of
these libraries has been made clear. Several libraries have enabled applications to migrate their simulation codes
to the newest exascale systems as well as improve performance and capabilities. We will overview library
activities undertaken to ensure value to applications and give examples demonstrating use of new algorithms
as well as capability and speed improvements.
• Organizer(s) : Carol S. Woodward, Ulrike M. Yang
• Speakers Info :
• Ulrike Yang (Lawrence Livermore National Laboratory)
• Sherry Li (Lawrence Berkeley National Laboratory)
• Marcel Koch (Karlsruhe Institute of Technology)
• Thom Popovici (Lawrence Berkeley National Laboratory)
• Carol Woodward (Lawrence Livermore National Laboratory)
• Todd Munson (Argonne National Laboratory)
• Roger Pawlowski (Sandia National Laboratories)
• David Schneider (University of Stuttgart)
• Tzanio Kolev (Lawrence Livermore National Laboratory)
• Andrew Myers (Lawrence Berkeley National Laboratory)
• Dan Martin (Lawrence Berkeley National Laboratory)
• Koki Sagiyama (Imperial College London)

[00707] Theoretical and Numerical Challenges in the Modelling of Fluid Motion

• Abstract : The goal of this mini-symposium is to provide a forum for presenting and discussing recent advances in mathematical and numerical modelling of fluid motion. The phenomena under consideration range from small oscillations of fluid droplets to large ocean waves. Topics of interest cover nonlinear waves and solitons in fluids, surface and internal ocean waves, atmospheric flows, as well as fluid dynamics methods for fatigue fracture analysis. In this mini-symposium a holistic approach to fluid dynamics is sought where the problem is studied by modern mathematical methods requiring advanced tools in functional analysis, geometry, PDEs, soliton theory and numerical modeling.
• Organizer(s) : Rossen Ivanov, Michail Todorov
• Speakers Info :
• Biswajit Basu (Trinity College Dublin)
• Lin Chen (Tongji University, China)
• Aparna (Dey) Ghosh (Indian Institute of Engineering Science and Technology, Shibpur)
• Rossen I. Ivanov (Technological University Dublin, IrelandT)
• Manish Kanojia (Trinity College Dublin)
• Andrei Ludu (Embry-Riddle Aeronautical University )
• Tony Lyons (South-East Technological University )
• Michail D. Todorov (Technical University Sofia)
• Sanichiro Yoshida (Southeastern Louisiana University)

[00710] Gender Equality in Mathematics: A Global Perspective

• Abstract : In the last decade, the fields of mathematics and applied mathematics have increasingly recognized the highly creative contributions by women. However, there still remains a significant gap in the percentage of women in these fields, and barriers to achievement by women persist, especially in developing countries. The Gender Gap in Science project was executed to accumulate data on this gap and to provide recommendations on how to reduce and remove barriers to women. Speakers will discuss the gender gap in mathematics globally and overview challenges and activities to address the gap. The sessions will conclude with a moderated panel discussion.
• Organizer(s) : Carol S. Woodward, Maria Esteban, GuiYing Yan
• Speakers Info :
• Maria Esteban (CNRS and University Paris-Dauphine)
• Sophie Dabo (University of Lille and INRIA)
• Motoko Kotani (Tohoku University)
• Yukari Ito (The University of Tokyo)
• Carola-Bibiane Schonlieb (University of Cambridge)
• Talitha Washington (Clark Atlanta University)
• Carol Woodward (Lawrence Livermore National Laboratory)
• Carol Woodward (Lawrence Livermore National Laboratory)

[00711] Recent Advances in Optimal control and optimization

• Abstract : In this minisyposium we discuss the recent developments in control and optimization.
We analyze solutions to PDE in a general framework and develop a new control and optimization methods and theoretic analysis.
The control PDE analysis includes the constrained stochastic Nash game,
optimal control problems in metric spaces and
optimal control of poroelastic systems and frequency dependent Hautus tests for controllability.
We apply our methods to specific examples in biomedicine, population dynamics and Economics
Also, we develop a new theoretic framework for optimal control and optimization
based on Rockafellar’s perturbation theory
to analyze and solve general nonsmooth convex minimization and
monotone inclusion problems.
• Organizer(s) : Kazufumi Ito
• Speakers Info :
• Lorena Bociu (North Carolina State University)
• Patrick L. Combettes (North Carolina State University)
• Marius Tucsnak (University Bordeaux)
• Hasnaa Zidani (Insa-Rouen)
• Michael Hintermueller (Wias-Berlin)
• Contact Person : Kazufumi Ito (North Carolina State University)

[00715] Recent Trends in Market Design

• Abstract : Market design, also known as mechanism design, is a practical application of game theory, whose purpose is to develop decision making rules under which each individual has an incentive to take a desirable action in an equilibrium. In recent years, the research of market design has attracted the attention of researchers in various research fields, including mathematics, economics, computer science, biology, politics, psychology, etc. We have nine prospective researches in this minisymposium as invited speakers, who give us state-of-the-art of the theory and applications of market design.
• Organizer(s) : Ayumi Igarashi, Shunya Noda, Taiki Todo
• Speakers Info :
• Zhiyi Huang (The University of Hong Kong)
• Ayumi Igarashi (The University of Tokyo)
• Bart de Keijzer (King’s College London)
• Jiangtao Li (Singapore Management University)
• Minming Li (City University of Hong Kong)
• Yunan Li (City University of Hong Kong)
• Shunya Noda (The University of Tokyo)
• Taiki Todo (Kyushu University)
• Rohit Vaish (Indian Institute of Technology (IIT) Delhi)
• Koji Yokote (The University of Tokyo)
• Dengji Zhao (ShanghaiTech University)
• Yu Zhou (Kyoto University)

[00733] Compressible fluid dynamics and related PDE topics

• Abstract : This mini-symposium is aimed to bring together the leading experts as well as promising young researchers to present their recent results in compressible fluid dynamics and related PDE topics. Key topics focus on the most challenging open problems in the compressible fluid dynamics such as existence of solutions, asymptotic stability of wave pattern and singular limits, etc. It also provides a premier interdisciplinary forum for senior and junior researchers to exchange their experiences in the study of partial differential equations coming from compressible fluid dynamics.
• Organizer(s) : Feimin Huang, Song Jiang, Takayuki Kobayashi, Yong Wang
• Speakers Info :
• Jing Li (Academy of Mathematics and Systems Science, Chinese Academy of Science)
• Yong Wang (Academy of Mathematics and Systems Science, Chinese Academy of Science)
• Hirokazu Saito (The University of Electro-Communications)
• Yong Lv (Nanjing University)
• Xiangdi Huang (Academy of Mathematics and Systems Science, Chinese Academy of Science)
• Itsuko Hashimoto (Kanazawa University)
• Feng Xie (Shanghai Jiaotong University)
• Qian Yuan (Academy of Mathematics and Systems Science, Chinese Academy of Science)
• Kai Koike (Tokyo Institute of Technology)
• Xiaoding Shi (Beijing University of Chemical Technology)
• Yi Wang (Academy of Mathematics and Systems Science, Chinese Academy of Science)
• Qiangchang Ju (Institute of Applied Physics and Computational Mathematics)
• Contact Person : Feimin Huang (Academy of Mathematics and Systems Science, Chinese Academy of Science)

[00736] Modeling and Computation for Interface Dynamics in Fluids and Solids

• Abstract : Interfacial phenomena are widely observed in nature and play important roles in materials science and fluid mechanics. The dynamics of the interfaces between different phases is of great interest not only because of the associated scientific questions but also due to its various applications. The different phases separated by the interfaces can be both liquids, or liquid-gas phases, or solid-gas phases, etc. Modelling and simulation of such systems is rather challenging, especially in the presence of moving contact lines. This mini-symposium will mainly focus on the mathematical modeling of interface dynamics and the development of efficient numerical methods.
• Organizer(s) : Quan Zhao, Bo Lin
• Speakers Info :
• Tiezheng Qian (Hong Kong University of Science and Technology)
• Shuwang Li (Illinois Institute of Technology)
• Wei Jiang (Wuhan University)
• Quan Zhao (Universtiy of Regensburg)
• Weijie Huang (Beijing Jiaotong University)
• Yifei Li (National University of Singapore)
• Bo Lin (National University of Singapore)
• Boyi Wang (Vienna University of Technology)

[00737] Numerical methods for semiconductor devices simulation and the computational lithography

• Abstract : As the feature size of modern integrated circuits goes to nanometer-scale, the design and analysis of integrated circuits become complicated. Quantum mechanical phenomena become prominent in numerical simulations of semiconductor device. At the same time, rigorous computational lithography beyond Kirchhoff approximation becomes more important, but are too resource intensive to use for full chip applications. Efficient and accurate numerical simulation of device and lithography continues to be a challenge. We are concerned with the numerical modeling of semiconductor devices simulation and electromagnetic computation in lithography. Of particular interest to this minisymposium are recent advances on general numerical methods.
• Organizer(s) : Junqing Chen,Tao Cui,Wenhao Lu ,Weiying Zheng
• Speakers Info :
• Junqing Chen (Tsinghua University)
• Zhiming Chen (Academy of Mathematics and Systems Science, Chinese Academy of Sciences)
• Tao Cui (Academy of Mathematics and Systems Science, Chinese Academy of Sciences)
• Haiyan Jiang (Beijing Institute of Technology)
• Wenhao Lu (Academy of Mathematics and Systems Science, Chinese Academy of Sciences)
• Haijun Wu (Nanjing University)
• Lang Zeng (Beihang University)
• Weiying Zheng (Academy of Mathematics and Systems Science, Chinese Academy of Sciences)

[00746] Variational methods for singularities and concentration on low dimensional sets

• Abstract : This mini-symposium focuses on recent developments in the calculus of variations
with application to problems in nonlinear elasticity, plasticity, liquid crystals,
and foams, with an emphasis on topological defects.

Defects play a prominent role, for example, in superfluidity, superconductivity,
and plasticity. Low-energy configurations exhibit lower-dimensional concentration
patterns; examples include dislocations, vortices, grain boundaries, interfaces,
and phase transitions.

The aim of the mini-symposium is to bring together experts focusing on
different aspects of this common big picture, to promote exchange of ideas,
and identify new ways of tackling open problems.

• Organizer(s) : Georg Dolzmann, Adriana Garroni, Lucia Scardia
• Speakers Info :
• Lia Bronsard (McMaster University)
• Vito Crismale (Universita di Roma La Sapienza)
• Georg Dolzmann (University of Regensburg)
• Duvan Henao (Universidad de O’Higgins)
• Raz Kupferman (The Hebrew University of Jerusalem)
• YuNing Liu (New York University at Shanghai)
• Mircea Petrache (Pontificia Catolica Universidad de Chile)
• Raghavendra Venkatraman (New York University)
• Contact Person : Georg Dolzmann (University of Regensburg)

[00747] Analysis and Numerics on Deep Learning Based Methods for Solving PDEs

• Abstract : Various difficult PDE problems from the science and engineering now tend to be solved by numerical methods based on deep learning. This minisymposium focuses on both analytic and numerical aspects of these new methods. The speakers will talk about their recent works on the mechanism and further improvement of variational or/and physics-informed DNN-based solvers with applications to scientific computing problems.
• Organizer(s) : Tao Luo, Zheng Ma, Zhiping Mao
• Speakers Info :
• Tao Zhou (Chinese Academy of Sciences)
• Yuling Jiao (Wuhan University)
• Qixuan Zhou (Shanghai Jiao Tong University)
• Xurong Chi (University of Science and Technology of China)
• Qifeng Liao (ShanghaiTech University)
• Xuhui Meng (Huazhong University of Science and Technology)
• Keke Wu (Shanghai Jiao Tong University)
• Yuan Lan (Hong Kong University of Science and Technology)
• Zhiping Mao (Xiamen University)
• Zheng Ma (Shanghai Jiao Tong University)
• Yue Wu (Hong Kong University of Science and Technology)
• Contact Person : Tao Luo (Shanghai Jiao Tong University)

[00749] Recent Advances on Preconditioners and Fast Solvers for Nonlinear PDEs

• Abstract : Numerical methods for solving nonlinear PDEs are at the heart of many scientific applications in physics, engineering, and biology. Recent advances in developing preconditioners and fast solvers bring significant improvement to the robustness and efficiency of numerical methods for nonlinear PDEs. A variety of novel techniques have been introduced such as nonlinear preconditioning, model order reduction, multiscale methods, heterogeneous computing, and machine learning. This minisymposium is to encourage communication among experts in these fields to discuss cutting-edge topics of numerical methods for nonlinear PDEs and their applications.
• Organizer(s) : Xiao-Chuan Cai, Rongliang Chen, Li Luo
• Speakers Info :
• Axel Klawonn (University of Cologne)
• Xuemin Tu (University of Kansas)
• Feng-Nan Hwang (National Central University)
• Hua Shen (University of Electronic Science and Technology of China)
• Rongliang Chen (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences)
• Jizu Huang (Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences)
• Alexander Heinlein (Delft University of Technology (TU Delft))
• Chensong Zhang (Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences)
• Shubin Fu (The Chinese University of Hong Kong)
• Han Zhang (Tsinghua University)
• Li Luo (University of Macau)
• Monica Mai Huynh (Università degli Studi di Pavia)

[00752] Theory and efficient methods for large-scale structured optimization models

• Abstract : This mini-symposium is mainly on large-scale structured optimization models popular in statistical or machine learning community. We focus on the design of efficient algorithms for solving those large-scale structured optimization problems and the analysis of convergence theory of the proposed algorithms.
• Organizer(s) : Yangjing ZHANG
• Speakers Info :
• Chao DING (Chinese Academy of Sciences)
• Meixia LIN (Singapore University of Technology and Design)
• Lei YANG (Sun Yat-Sen University)
• Yangjing ZHANG (Chinese Academy of Sciences)

[00754] Regularization models and sampling algorithms in statistics and inverse problems

• Abstract : Inverse problems involve the determination of unknown parameters from observational data and mathematical models linking those parameters to the data. Bayesian inference offers a framework to estimate the solution in terms of a posterior probability distribution. Oftentimes, the computation of the posterior requires application of Markov chain Monte Carlo (MCMC) methods. Direct implementation of these techniques becomes a challenge when the target parameters have a particular structure and are high-dimensional. This mini-symposium aims at presenting recent developments in sampling methods and prior/regularization models in statistics and inverse problems, including novel MCMC techniques, Monte Carlo estimators, and priors encoding structural information.
• Organizer(s) : Felipe Uribe, Andreas Rupp
• Speakers Info :
• Felipe Uribe (Lappeenranta-Lahti University of Technology)
• Jinglai Li (University of Birmingham)
• Max Ehre (Technical University of Munich)
• Nicolai Riis (Technical University of Denmark)
• Dootika Vats (Indian Institute of Technology)
• Heikki Haario (Lappeenranta-Lahti University of Technology)
• Andi Wang (University of Bristol)
• Matteo Croci (University of Texas at Austin)

[00760] Improving Reproducibility, Trustworthiness and Fairness in Machine Learning

• Abstract : The widespread uptake of machine learning for completing routine and complex tasks has been an ambition that feels closer and closer every year. There is currently a well-known reproducibility crisis impacting machine learning-based science which could damage public confidence in the tools and hamper a rapid uptake. The diverse array of speakers in this minisymposium will present a range of talks focussing on practical solutions to different aspects of the reproducibility crisis, ways to address inequalities in algorithm performance to improve fairness, improving explainability of models, and methods to assess the robustness of algorithms.
• Organizer(s) : Michael Roberts, Daniel Kreuter
• Speakers Info :
• Daniel Kreuter (University of Cambridge)
• Tolou Shadbahr (University of Helsinki)
• Hirotaka Takahashi (Tokyo City University)
• Sören Dittmer (University of Bremen)
• Gilles Vandewiele (Ghent University)
• Sayash Kapoor (Princeton University)
• Gitta Kutyniok (Ludwig-Maximilians-Universität München)
• Michael Roberts (University of Cambridge)

[00761] Recent Advances on quadrature methods for integral equations and their applications

• Abstract : Numerical methods based on integral equations are powerful tools for simulating physical systems that arise in fluid mechanics, acoustics, electromagnetics, and many other fields. A crucial component of any efficient integral equation solver is a specialized quadrature method for the discretization of the underlying integral operators. This mini-symposium will focus on the main challenges in quadrature research including accurate evaluation of singular and near-singular integrals associated with surface and volume potentials, adaptive discretization in complex geometries, and the efficient implementation of quadrature schemes in practical applications.
• Organizer(s) : Anna-Karin Tornberg, Hai Zhu, Bowei Wu
• Speakers Info :
• Ludvig af Klinteberg (Mälardalen University)
• Joar Bagge (KTH)
• Daniel Fortunato (Flatiron Institute)
• Adrianna Gillman (University of Colorado Boulder)
• Abinand Gopal (Yale University)
• Federico Izzo (KTH)
• Carlos Pérez-Arancibia (University of Twente)
• Zewen Shen (University of Toronto)
• Chiara Sorgentone (Sapienza University of Rome)
• Shravan Veerapaneni (University of Michigan)
• Bowei Wu (University of Massachusetts Lowell)
• Hai Zhu (Flatiron Institute)
• Contact Person : Bowei Wu (University of Massachusetts Lowell)

[00763] Long-time dynamics of numerical methods for nonlinear evolution equations

• Abstract : The numerical simulation of many physical systems requires an understanding of solutions which goes beyond mere numerical accuracy – they possess invariant structure and qualitative features that distinguish physically meaningful from spurious behaviour. This leads to the fundamental question to what extend such features of the underlying system can be preserved in the numerical flow, in particular over times much longer than is guaranteed by local error estimates. The proposed minisymposium brings together experts from computational mathematics to provide an overview of current state-of-the-art and recent advances in the study and design of methods for evolution equations with favourable long-time behaviour.
• Organizer(s) : Yue Feng, Georg Maierhofer, Katharina Schratz
• Speakers Info :
• Yvonne Alama Bronsard (Sorbonne Université)
• Yvain Bruned (Université de Lorraine)
• Yongyong Cai (Beijing Normal University)
• Yue Feng (Sorbonne Université)
• Shi Jin (Shanghai Jiao Tong University)
• Karolina Kropielnicka (Institute of Mathematics of the Polish Academy of Sciences (IM PAN))
• Buyang Li (Hong Kong Polytechnic University)
• Alexander Ostermann (University of Innsbruck)
• Ari Stern (Washington University in St. Louis)
• Bin Wang (Xi’an Jiao Tong University)
• Contact Person : Georg Maierhofer (Sorbonne Université)

[00766] Deep learning techniques for inverse problems and imaging

• Abstract : Inverse problems involve identifying parameters of interest from indirect data. A main challenge for solving inverse problems is that their solutions are often not well posed, i.e., not unique and/or unstable with respect to small perturbations in the data. Deep techniques have been successfully applied to a wide variety of inverse problems, especially those arising in medical imaging. The main purpose of this mini-symposium is to discuss recent developments of the deep learning techniques for solving inverse problems and the open challenges that need to be addressed in the future.
• Organizer(s) : Jinglai Li, Xiaoqun Zhang
• Speakers Info :
• Jinglai Li (University of Birmingham)
• Qiaoqiao Ding (Shanghai Jiao Tong University)
• Hui Ji (National University of Singapore)
• Tiangang Cui (Monash University)
• Contact Person : Jinglai Li (University of Birmingham)

[00768] Recent Advances in Computational Tools of Scientific Machine Learning towards Digital Twins

• Abstract : Scientific Machine Learning is a new discipline that integrates traditional scientific computing and modern machine learning. It has grown explosively in recent years and is recognized as a fundamental research field that develops computational tools enabling Digital Twins. This mini-symposium will highlight recent progress in scientific machine learning techniques for Digital Twins and gather experts working on theory, algorithms, and applications to discuss and identify urgent current agendas and challenges.
• Organizer(s) : Yeonjong Shin, Xueyu Zhu
• Speakers Info :
• Mark Asch (University of Picardy Jules Verne)
• Kyungho Yoon (Yonsei University)
• Chuanqi Chen (University of Wisconsin, Madision)
• Jinhyun Choo (KAIST)
• Contact Person : Yeonjong Shin (KAIST)

[00774] Applications of machine learning to analyzing time-series and imaging data

• Abstract : Considerable increases in GPU and high-performance computing have led to significant advances in machine learning methodologies. This mini-symposium will focus on recent advances in methodologies and applications of deep and machine learning to analyze two types of data. In the first session, our speakers will discuss recent advances in machine learning based methods for predicting time series data. The second session will focus on deep learning for analyzing and interpreting imaging data. Mathematical topics of this mini symposium include, but are not limited to, physics-driven machine learning, deep learning, reinforcement learning, computer vision, and optimal transport.
• Organizer(s) : Kevin Flores, Ryan Murray, Hien Tran
• Speakers Info :
• Pham Quy Muoi (University of Education – The University of Da Nang)
• Zixuan Cang (North Carolina State University)
• Phuong Hoang (Kaiser Permanente Data Science)
• Erica Rutter (University of California Merced)
• John Lagergren (Biosciences Division, Oak Ridge National Labs)
• Kyle Nguyen (North Carolina State University)
• Adam Attarian (Applied AI Systems, Pacific Northwest National Lab )
• Kevin Flores (NC State University)

[00778] Analysis, Applications, and Advances in Metamaterials and Composites

• Abstract : Composites are inhomogeneous mixtures of their component materials. Metamaterials are composites with properties that go beyond those of the constituent phases and possibly beyond naturally occurring materials. These have attracted increasing attention in the past twenty years. Many important mathematical questions have been addressed, yet many remain. For example, composites and metamaterials can guide fields and waves in desired ways, e.g., cloaking, but the limitations of this are not so clear. Also, what unusual effective behaviors are possible? Incorporating dispersion, dissipation, anisotropy, extreme moduli, etc. adds to the challenge. This minisymposium will present exciting new developments in the field.
• Organizer(s) : Maxence Cassier (CNRS, Institut Fresnel), Graeme W. Milton (University of Utah), Anthony Stefan (Florida Institute of Technology), Aaron Welters (Florida Institute of Technology)
• Speakers Info :
• Owen Miller (Yale University)
• Anthony Stefan (Florida Institute of Technology)
• Aaron Welters (Florida Institute of Technology)
• Xuenan Li (Courant Institute)
• Sébastien Guenneau (CNRS, Institut Fresnel)
• Trent DeGiovanni (University of Utah)
• Fernando Guevara Vasquez (University of Utah)
• Pierre Millien (CNRS, Institut Langevin)
• Ian Tobasco (University of Illinois)
• Gengkai Hu (Beijing Institute of Technology)
• Ying Wu (King Abdullah University of Science and Technology)
• Habib Ammari (ETH Zürich)

[00781] Physical and Mathematical Research on Transport on Slippery Surfaces

• Abstract : In the past two decades numerous laboratories have microfabricated surfaces with the chemical and textural properties to mimic slippery surfaces found in nature, e.g. the superhydrophobic lotus leaf. This has been made possible by the continuing advances in nano/micro fabrication technology. This 3-part minisymposium will bring together engineers, physicists, and applied mathematicians in a multi-physics framework to discuss recent modelling and experimental applications.
• Organizer(s) : Toby Kirk, Darren Crowdy
• Speakers Info :
• Clarissa Schoenecker (Technische Universität Kaiserslautern)
• Glen McHale (University of Edinburgh)
• Seyed-Mohammad Taghavi (Universite Laval)
• Somnath Bhattacharyya (Indian Institute of Technology Madras)
• Samuel Tomlinson (University of Manchester)
• Anna Curran (Imperial College London)
• Michael Mayer (Imperial College London)
• Dong Song (Northwestern Polytechnical University)
• Mike Siegel (New Jersey Institute of Technology)
• Hiroyuki Miyoshi (Imperial College London)
• Haotian Jia (Tufts University)
• Toby Kirk (Imperial College London)

[00782] Recent Advances on Mimetic Difference Methods

• Abstract : Mimetic Difference Schemes are based on Mimetic Difference Operators which are discrete analogs of the continuous first order invariant operators divergence, gradient and curl. They have been used for quite some time to solve effectively a wide range of partial differential equations. In this mini symposium we will present recent advances on mimetic methods including energy conservation, stability analysis and extension of stability region via Mollification techniques. Numerical examples will be presented to illustrate the effectiveness of the methods
• Organizer(s) : Jose E. Castillo
• Speakers Info :
• Jose E Castillo (Computational Science Research Center at San Diego State University)
• Jorge Villamizar (Universidad Industrial de Santander)
• Julio Cesar Carrillo (Universidad Industrial de Santander)
• Anand Srinivasan (Computational Science Research Center at San Diego State University)

[00783] PDE Eigenvalue Problems: Computational Modeling and Numerical Analysis

• Abstract : Eigenvalue problems of partial differential equations have many important applications in science and engineering, e.g., design of solar cells for clean energy, calculation of electronic structure in condensed matter, extraordinary optical transmission, non-destructive testing, photonic crystals, and biological sensing. This mini-symposium focuses on the computation modeling and numerical analysis for PDE eigenvalue problems. It intends to bring the leading researchers to discuss the recent developments and build collaborations among participants of various backgrounds.
• Organizer(s) : Hengguang Li, Xuefeng Liu, Jeffrey Ovall, Jiguang Sun
• Speakers Info :
• Shixu Meng (Chinese Academy of Sciences)
• Peter Monk (University of Delaware)
• Guannan Zhang (Oak Ridge National Laboratory)
• Martin Halla (Georg-August Universitat Gottingen)
• Daniele Boffi (King Abdullah University of Science and Technology)
• Zhimin Zhang (Wayne State University)
• Jeffrey Ovall (Portland State University)
• Hengguang Li (Wayne State University)
• Carsten Carstensen (Humboldt-Universität zu Berlin)
• Benedikt Grassle (Humboldt-Universität zu Berlin)
• Xuefeng Liu (Niigata University)
• Emilie Pirch (Friedrich-Schiller-Universitat Jena)
• Huiyuan Li (Chinese Academy of Sciences)
• Contact Person : Jiguang Sun (Michigan Technological University)

[00785] Learning Dynamical Systems by Preserving Symmetries, Energies, and Variational Principles

• Abstract : Dynamical systems abound in engineering and science, and their accurate long-time simulation and outer-loop applications such as control, design and uncertainty quantification remains a computational challenge. From first principles modeling of physical systems, it is clear that many of these dynamical systems have a natural geometric structure (e.g., Hamiltonian, Lagrangian, metriplectic) or symmetry (translational, rotational). Exploiting and enforcing this structure in physics-based learning methods remains imperative for capturing the underlying physics accurately. This minisymposium highlights recent developments in physics-preserving learning for dynamical systems, such as: Lagrangian/Hamiltonian neural networks, sparse identification of nonlinear dynamics (SINDy), operator inference, preservation of conservation laws, the incorporation of interconnection and modular structure, structure-preserving system identification and other machine learning approaches.
• Organizer(s) : Boris Kramer, Yuto Miyatake
• Speakers Info :
• Nathaniel Trask (Sandia National Laboratories)
• Boris Kramer (University of California San Diego)
• Tomasz Tyranowski (Max Planck Institute for Plasma Physics)
• Christian Offen (University of Paderborn)
• Alex Gorodetsky (University of Michigan)
• Christine Allen-Blanchette (Princeton University)

[00787] Space Weather: Modeling, Surrogates and Uncertainty Quantification

• Abstract : Electronic technologies that govern modern life, such as the Global Positioning System, are dependent on satellite technologies, which require accurate space weather models with quantified uncertainties to operate safely and efficiently. Uncertainties in space weather models are wide-ranging. They can stem from how the models are driven, e.g., parameters, initial conditions, forcing, and from the treatment of the internal physics and numerics. For example, predictions of thermospheric density must account for model-form and parametric uncertainty in models of thermal conductivity and Nitric Oxide cooling. This minisymposium presents broad class of novel UQ methods for the exciting application of space weather.
• Organizer(s) : Boris Kramer, Enrico Camporeale
• Speakers Info :
• Opal Issan (University of California San Diego)
• Xun Huan (University of Michigan)
• Peng Mun Siew (Massachusetts Institute of Technology)
• Enrico Camporeale (University of Colorado Boulder)
• Contact Person : Boris Kramer (University of California San Diego)

[00794] Mathematical Modelling and Disease

• Abstract : Mathematical modeling and estimation strategies are especially useful
in the fight against disease be it through diagnosis, prediction, or management.
Examples include analyzing medical device performance and providing simulation,
constructing probabilistic/stochastic models that define classification strategies
that in turn guide diagnostic testing. In this minisymposium, these themes will be
investigated through specific ‘real world’ examples emphasizing metrology and
the importance of measurement science in using mathematics to treat disease.
• Organizer(s) : Anthony Kearsley, Luis Melara
• Speakers Info :
• Julie Blackwood (Williams College)
• Danielle Middlebrooks (National Institute of Standards & Technology)
• Prajakta Bedekar (Johns Hopkins University)
• Luis Melara (Shippensburg University)

[00795] Topological data analysis and machine learning

• Abstract : Topological Data Analysis (TDA), a relatively new field of data analysis, has proved highly useful in a variety of applications. Recently, much TDA research has been devoted to not only developing theories but also developing TDA compatible in machine learning workflow. This workshop will bring together researchers working on the areas of TDA and machine learning and provide an opportunity where they present their recent research and share ideas both in theory and applications. Further, this workshop will also provide recent progresses of computational tools developed for TDA combined with machine learning in various applications.
• Organizer(s) : Jae-Hun Jung, Shizuo Kaji, Moo K. Chung
• Speakers Info :
• Tomoo Yokoyama (Gifu University)
• Jongbaek Song (KIAS)
• Mason Poter (UCLA)
• Keunsu Kim (POSTECH)
• Peter Bubenik (University of Florida)
• Tamal K. Dey (Purdue University)
• Yuan Wang (University of South Carolina)
• Chad Topaz (Williams College)
• Guowei Wei (Michigan State University)
• Alexander Strang (University of Chicago)
• Mathieu Carriere (INRIA)
• Heather Harrington (University of Oxford)
• Contact Person : Jae-Hun Jung (POSTECH)

[00802] Numerical Algorithms for the Eikonal Equation and Its Applications

• Abstract : The minisymposium focuses on the recent state-of-art for the eikonal equation in view of the mathematical theories, diverse applications such as image processing, seismic wave travel time in layered media, 3D shape reconstruction, 3D printing, optimal control, homogenization, mean field games, and distance on a non-convex domain with polyhedral meshes, and their numerical algorithms; semi-discretization method, finite volume method, mimetic discretization method, using the Hopf-Lax formula, Jet marching method, variational methods, neural network approaches, etc. We also include a variant of the eikonal partial differential equation induced by Randers metric and a high order accurate efficient eikonal solvers on surfaces.
• Organizer(s) : Jooyoung Hahn, Laurent Cohen
• Speakers Info :
• Laurent Cohen (University Paris Dauphine, PSL Research University, CNRS)
• Jean-Marie Mirebeau (ENS Paris-Saclay, CNRS, University Paris-Saclay)
• Miguel Dumett (Computational Science Research Center of San Diego State University)
• Jooyoung Hahn (Slovak University of Technology in Bratislava)
• Italo Capuzzo-Dolcetta (Sapienza University of Rome)
• Myungjoo Kang (Seoul National University)
• Silvia Tozza (University of Bologna)
• Byungjoon Lee (Catholic University of Korea)
• Ron Kimmel (Technion – Israel Institute of Technology)
• Pierre-Alain Fayolle (University of Aizu)
• Samuel Potter (The Courant Institute, New York University)
• Shigetoshi YAZAKI (Meiji University)

[00810] Recent Developments on the Numerical Solution of Least Squares Problems

• Abstract : Talks will be presented on recent developments in the numerical solution of least squares problems. Topics included are, numerical solution of least squares problems including preconditioners, rank-deficient and singular systems, quaternion least squares problems, total least squares problems including condition numbers and quantum-inspired algorithms, randomized algorithms such as the randomized Kaczmarz method, and regularization methods for the solution of ill-posed problems.
• Organizer(s) : Ken Hayami, Yimin Wei
• Speakers Info :
• José Marí Mas (Universitat Politècnica de València)
• Alexis Montoison (GERAD and Polytechnique Montreal)
• Ning Zheng (The Institute of Statistical Mathematics)
• Kota Sugihara (None)
• Junjun Pan (The University of Hong Kong)
• Yimin Wei (Fudan University)
• Huaian Diao (Jilin University)
• Lu Wang (Hebei Normal University)
• Jun-Feng Yin (Tongji University)
• Raymond Chan (City University of Hong Kong)
• Masao Yamagishi (Tokyo Institute of Technology)
• Ken Hayami (National Institute of Informatics)

[00814] Inverse Problems for Moving Targets

• Abstract : The inverse problems of determining the trajectory of a moving target arise from many significant industrial, medical and military applications such as radar imaging, underwater sonar system， auto target recognition etc. There has been growing interest from the mathematical community, because the design of efficient and stable numerical schemes relies heavily on deep mathematical understandings. The purpose of this symposium is to bring together researchers in this area to discuss mathematical models and inverse problems (including uniqueness, stability and numerics) for identifying moving objects governed by time-dependent PDEs.
• Organizer(s) : Guanghui Hu, Takashi Ohe, Jun Zou
• Speakers Info :
• Takashi Ohe (Okayama University of Science)
• Guanqiu Ma (Nankai University, Tianjin, China)
• Mika Karamehmedović (Technical University of Denmark)
• Yat Tin Chow (University of California)
• Guanghui Hu (Nankai University, Tianjin, China)

[00815] Recent trends in continuous optimization

• Abstract : Continuous optimization is a branch of optimization with applications in many fields. In view of their usefulness, in this minisymposium we will focus on: (i) nonlinear programming, where an objective function is minimized or maximized while satisfying some constraints; (ii) multiobjective optimization, where multiple objective functions are considered; and (iii) conic optimization, which deals with more general conic constraints. The goal of this minisymposium is to present some recent developments on those topics. In particular, proposals of efficient algorithms, advanced theoretical results and applications in machine learning will be discussed.
• Organizer(s) : Yasushi Narushima, Ellen H. Fukuda, Bruno F. Lourenço
• Speakers Info :
• Ellen Hidemi Fukuda (Kyoto University)
• Masaru Ito (Nihon University)
• Anteneh Getachew Gebrie (Debre Berhan University)
• Héctor Ramírez Cabrera (University of Chile)
• Anderson Ervino Schwertner (State University of Maringá)
• Hardik Tankaria (Kyoto University)
• Shin-ichi Kanoh (University of Tsukuba)
• Pierre-Louis Poirion (RIKEN-AIP)
• Takayuki Okuno (Seikei University)
• Yuki Tsukada (Meiji University)
• Shummin Nakayama (University of Electro-Communications)
• Yasushi Narushima (Keio University)
• Alex Wang (Purdue University)
• Ching-Pei Lee (Academia Sinica)
• Nathan Benedetto Proença (Waterloo University)
• Tianyun Tang (National University of Singapore)

[00838] Perspectives in Artificial Intelligence and Machine Learning in Materials Chemistry, 2nd edition

• Abstract : Artificial Intelligence has led to a paradigm shift in investigation in Materials Chemistry, with Machine Learning allowing informatics-based systematic calculations, predictions and discovery based on material databases pushing beyond the intrinsic limitations of first-principles calculations. The successful application requires development of novel methodologies inspired by the frontends of materials development in close synergy between Mathematics and Information Technology, areas where interdisciplinary collaborations are crucial and yet to date in their early phases.
• Organizer(s) : CESANA Pierluigi, NGUYEN DINH Hoa, PACKWOOD Daniel, STAYKOV Aleksandar
• Speakers Info :
• Masato Kotsugi (Tokyo University of Science)
• Ippei Obayashi (Okayama University)
• Yoh-ichi Mototake (The Institute of Statistical Mathematics)
• Aleksandar Staykov (I2CNER)
• Kato Koichiro (Kyushu university)
• Shigenori Fujikawa (I2CNER)
• Kulbir Ghuman (INRS)
• David Rivera (Hiroshima University)
• Contact Person : pierluigi cesana (kyushu university)

[00851] Mathematics for Big Data and Artificial Intelligence: models and challenges

• Abstract : The availability of huge amounts of data and the application of AI techniques are considered as the fourth industrial revolution, but extracting meaningful knowledge and transparent decisions from the data is not a trivial task.
Mathematics is the ‘language’ on which are based the existing algorithms for data processing and for AI. This minisymposium is organized within the ECMI SIG “Mathematics for Big Data and AI”. The talks in this minisymposium will present and discuss how Mathematics can play a leading role in improving the reliability, computational efficiency, and transparency of the existing techniques for big data analysis and AI.
• Organizer(s) : Alessandra Micheletti, Natasa Krejic
• Speakers Info :
• Patrizio Frosini (Università degli Studi di Bologna)
• Alessandra Micheletti (Università degli Studi di Milano)
• Claudia Soares (NOVA University of Lisbon)
• Natasa Krklec Jerinkic (University of Novi Sad)

[00866] BEM and related methods for advanced applications

• Abstract : Since its early days, the Boundary Element Method (BEM) has been selected as an accurate, scalable and reliable tool in computational science and engineering. In particular, in the last three decades, the number of its applications to cutting edge academic/industrial fields has impressively grown up. This Minisymposium is devoted to application aspects of BEM and its main goal is to bring together experts in this field, belonging to different international research groups, to discuss on the most recent advances and current open challenges on fast and innovative strategies for real-life applications.
• Organizer(s) : Luca Desiderio, Alessandra Aimi, Chiara Guardasoni
• Speakers Info :
• Giulia Di Credico (University of Parma)
• Silvia Falletta (Politecnico di Torino)
• Heiko Gimperlein (University of Innsbruck)
• Alessandra Sestini (University of Firenze)
• Contact Person : Luca Desiderio (Department of Mathematical, Physical and Computer Sciences, University of Parma)

[00869] Theory, numerics and data driven methods for fluids

• Abstract : Despite recent progress in the study of turbulent fluids, to date our mathematical understanding of it remains fundamentally incomplete. Furthermore, recent work on non-uniqueness of weak solutions and lack of global well-posedness of fluid equations, make their study even more pertinent and urgent. This mini-symposium will bring together researchers at all career stages to share their recent results on the interplay of topics such as uniqueness, regularity, boundary-layer theory, asymptotic dynamics and their connections to data assimilation, parameter estimation, machine and physics-informed deep learning algorithms, porous media flow simulations, and the study of statistical and stochastic solutions.
• Organizer(s) : Animikh Biswas, Jing Tian
• Speakers Info :
• Michal Branicki (The University of Edinburgh)
• Anna Mazzucato (Penn State University)
• Jinkai Li ( South China Normal Univeristy)
• Vincent Martinez (CUNY Hunter College & Graduate Center)
• Krutika Tawri (University of California, Berkeley)
• Dongjuan Niu ( Capital Normal University)
• Hakima Bessaih (Florida International University)
• Débora Albanez (Universidade Tecnológica Federal do Paraná)
• Jared Whitehead (Brigham Young University)
• Yanqiu Guo (Florida International University)
• Xiaoming Wang (Southern University of Science and Technology)
• Jing Tian (Towson university)

[00876] Inverse Problems in Partial Differential Equations and Graphs

• Abstract : The minisymposium discusses recent development on inverse problems for partial differential equations on manifolds and inverse problems on graphs. Inverse problems typically study the reconstruction of system parameters and geometric or combinatorial structures from indirect measurements. They naturally appear in various imaging problems such as in geophysics, medical imaging, network tomography, material science and non-destructive testing. Many inverse problems are highly sensitive to noise, and understanding this unstable nature is important to applications. Inverse problems on manifolds and graphs in general exhibit different nature, and this minisymposium seeks new connections between them.
• Organizer(s) : Matti Lassas, Jinpeng Lu, Lauri Oksanen
• Speakers Info :
• Joonas Ilmavirta (University of Jyväskylä)
• Hiroshi Isozaki (University of Tsukuba)
• Jinpeng Lu (University of Helsinki)
• Mikko Salo (University of Jyväskylä)

[00877] Mathematical and Computational Methods for Topological Materials

• Abstract : Topological materials are a class of quantum materials whose properties are preserved under topological transformations. The delicate structures of these materials admit novel and subtle propagating wave patterns which are immune to backscattering from disorder and defects. Recent years have witnessed vast of new experiments and theories about the wave phenomena in topological materials. The goal of this minisymposium is to bring together theoretical and applied researchers in these areas to discuss recent advances in the mathematical theories and physical applications. Topics will include analysis of the underlying governing equations, numerical methods on computing edge states, and experimental realizations.
• Organizer(s) : Hailong Guo, Emmanuel Lorin, Xu Yang
• Speakers Info :
• Yi Zhu (Tsinghua University )
• Lihui Chai (Sun Yat-sen University)
• Liqun Wang (China University of Petroleum-Beijing)
• Alexander B. Watson (University of Minnesota Twin Cities)
• Francois Fillion-Gourdeau (Institut national de la recherche scientifique(INRS))
• Gerardo Naumis (National Autonomous University of Mexico)
• Ralph Kaufmann (Purdue University )
• Hailong Guo (The University of Melbourne)

[00879] Stochastic analysis in mathematical finance

• Abstract : In this minisymposium the recent advances in mathematical finance will be discussed. The topics include stochastic analysis of jump processes, stochastic optimization, partial differential equations, stochastic calculus of variations, and mathematical aspects of data science for pricing and hedging of financial products. This minisymposium will bring together researchers with the aim to stimulate discussions for both theoretical and practical advancement.
• Organizer(s) : Takuji Arai, Tomoyuki Ichiba
• Speakers Info :
• Takuji Arai (Keio University)
• Li-Hsien Sun (National Central University)
• Yuki Hirai (Kyoto University )
• Tomoyuki Ichiba (University of California Santa Barbara)

[00882] Geometric Shape Generation II: Design

• Abstract : This mini-symposium is based on the JSIAM activity group “Geometric Shape Generation”, and aims at exhibiting the latest research in this activity group and relevant researchers, especially putting its focus on the design. We discuss the mathematical aspects of design and analysis of shapes under various settings, and special curves and surfaces useful for generating desirable shapes on CAD.
• Organizer(s) : Yoshiki Jikumaru, Kenji Kajiwara, Kenjiro T. Miura, Masaaki Umehara
• Speakers Info :
• Masashi Yasumoto (Tokushima University)
• Hiroyuki Kitahata (Chiba University)
• Eriko Shinkawa (Tohoku University)
• Dan Wang (Shizuoka University)
• Kenjiro Takai Miura (Department of Mechanical Engineering, Shizuoka University)
• Syed Ahmad Aidil Adha Said Mad Zain (Universiti Sains Malaysia)
• Kenji Kajiwara (Institute of Mathematics for Industry, Kyushu University)
• Sampei Hirose (Shibaura Institute of Technology)
• R U Gobithaasan (University Malaysia Terengganu)
• Rushan Ziatdinov ( Keimyung University)

[00888] Geometric Shape Generation I: Structures

• Abstract : This mini-symposium is based on the JSIAM activity group “Geometric Shape Generation”, and aims at exhibiting the latest research in this activity group and relevant researchers, especially putting its focus on the structures, mechanics and analysis. We discuss origami structures and applications, discrete surfaces and shell structures, geometric modeling of specific surfaces and vibration analysis.
• Organizer(s) : Miyuki Koiso, Makoto Ohsaki, Jun Mitani, Kento Okuda
• Speakers Info :
• Miyuki Koiso (Kyushu University)
• Yohei Yokosuka (Kagoshima University)
• Tianhao Zhang (The University of Tokyo)
• Hiroyuki Tagawa (Mukogawa Women’s University)
• Masaaki Miki (The University of Tokyo)
• Romain Mesnil (Ecole des Ponts ParisTech)
• Makoto Ohsaki (Kyoto University)
• Kazuki Hayashi (Kyoto University)
• Yoshiki Jikumaru (Kyushu University)
• Takashi Maekawa (Waseda University)
• Akatsuki Nishioka (The University of Tokyo)
• Konrad Polthier (Freie Universität Berlin)
• Contact Person : Kenji Kajiwara (Institute of Mathematics for Industry, Kyushu University)

[00891] Derivative-Free Optimization Theory, Methods, and Software

• Abstract : Derivative-free optimization methods aim to solve optimization problems based on function values without using derivatives or other first-order information. They are motivated by problems where the first-order information is expensive or impossible to obtain. Such problems emerge frequently from industrial and engineering applications, including integrated circuit design, aircraft design, and hyperparameter tuning in artificial intelligence. This minisymposium will provide a platform for researchers and practitioners in derivative-free optimization to discuss the recent advances in theory, methods, and software in this area.
• Organizer(s) : Serge Gratton, Zaikun Zhang
• Speakers Info :
• Serge Gratton (INPT-ENSEEIHT, University of Toulouse)
• Stefan Wild (Applied Math & Computational Research Division, Berkeley Lab)
• Tom Ragonneau (The Hong Kong Polytechnic University)
• Pengcheng Xie (Academy of Mathematics and Systems Science (AMSS), Chinese Academy of Sciences (CAS),)
• Zaikun Zhang (The Hong Kong Polytechnic University)

[00893] Higher Order-type Optimization Methods for Machine Learning

• Abstract : Higher order optimization mechanisms are popular and powerful tools to accelerate, robustify, and enhance the performance of first order algorithms. Albeit the high and general prevalence of first order schemes, deterministic and stochastic higher order-type methods have recently gained increasing attention and have been successfully utilized to solve challenging large-scale learning tasks, reinforcement learning problems, and other big data applications. The purpose of this minisymposium is to highlight recent advances and discuss novel techniques and strategies in the development and analysis of deterministic and stochastic higher order-type methods for large-scale minimization problems and machine learning applications.
• Organizer(s) : Andre Milzarek, Zaiwen Wen
• Speakers Info :
• Andre Milzarek (The Chinese University of Hong Kong, Shenzhen)
• Xudong Li (Fudan University)
• Zaiwen Wen (Peking University)
• Yang Liu (Oxford University)

[00897] Nonlinear and nonlocal models: analysis and numerics

• Abstract : The focus of the minisymposium will be on different aspects of nonlocal operators including regularity and numerical analysis of solutions to equations driven by fractional and nonlocal operators. In the recent years nonlocal models showed effectivity in describing phenomena involving different singularities. We aims to bring together leading experts and young researchers interested in nonlocality, in particular for nonlinear problems, including:
Numerics and Scientific Computing, Modeling and Applications, Analysis of Partial Differential Equations, Calculus of Variations.
• Organizer(s) : Anna Kh.Balci, Abner J. Salgado
• Speakers Info :
• Minhyun Kim (KIAS Korea Institute for Advanced Study)
• Andrea Ceretani (Universidad de Buenos Aires and CONICET,)
• Jihoon Ok (Sogang University)
• Anna Kh. Balci (University of Bielefeld)
• Marvin Weidner (Universitat de Barcelona)
• Lars Diening (University of Bielefeld)
• Abner J Salgado (University of Tennessee)

[00908] Machine Learning and Data-Driven Applications using Geometric Integration

• Abstract : Machine learning techniques are becoming increasingly prominent at solving complex dynamical systems and utilized in data-driven applications, such as inverse problems and model discovery. Yet, important geometric and physical structures have not traditionally been incorporated in such approaches, leading to loss of accuracy in long-term predictions. This minisymposium aims to bring together researchers from diverse groups to improve on machine learning techniques using ideas inspired by geometric integration.
• Organizer(s) : Andy Wan, Elena Celledoni, James Jackaman
• Speakers Info :
• James Jackaman (NTNU)
• Geoffrey McGregor (University of Toronto)
• Taisei Ueda (Kobe University)
• Silke Glas (University of Twente)
• Davide Murari (NTNU)
• Jason Bramburger (Concordia)

[00911] Sparse Linear Solvers for Computational Science at Extreme Scales

• Abstract : Sparse linear solvers are a basic component in the tool chain for scientific applications; solution of spa
rse linear systems is indeed one of the main computational kernels in physics-driven models for numer
ical simulation and, more recently, also in data-driven models. The current challenge of exascale requir
es to rethink numerical algorithms for efficient exploitation of heterogeneous massively parallel comput
ers, embedding multi/many-core processors. In this MS we bring together some very active researcher
s in this field to discuss recent advancements in the development of highly scalable algorithms and sof
tware for solving and preconditioning sparse linear systems on modern high-end supercomputers.
• Organizer(s) : Pasqua D’Ambra, Carlo Janna
• Speakers Info :
• Fabio Durastante (University of Pisa)
• Rui Peng Li (Lawrence Livermore Laboratories)
• Raymond Stephen Tuminaro (Sandia National Laboratories)
• Stephen Thomas (Advanced Micro Devices (AMD))
• Luca Franco Pavarino (University of Pavia)
• Xiaowen Xu (Institute of Applied Physics and Computational Mathematics)
• Ichitaro Yamazakii (Sandia National Laboratories)
• Patrick Zulian (Università della Svizzera italiana)
• Contact Person : Pasqua D’Ambra (Institute for Applied Computing (IAC)-National Research of Council (CNR))

[00915] The mathematics of quantum interaction models

• Abstract : Research on quantum interaction models, describing the interaction of matter with light, has recently gained traction because of applications including quantum information science/technology and quantum computation. In contrast, despite the discovery of surprising relations with contemporary mathematical theory, including representation theory, geometry and number theory, the rich mathematical structure underlying these models has yet to be properly recognized. In this minisymposium we introduce the field and give an overview of recent results with a focus on the quantum Rabi model, the most fundamental model for light-matter interaction, and discuss related models in quantum optics and solid-state physics.
• Organizer(s) : Daniel Braak, Fumio Hiroshima, Cid Reyes Bustos, Masato Wakayama
• Speakers Info :
• Daniel Braak (University of Augsburg)
• Masato Wakayama (NTT Institute for Fundamental Mathematics, Kyushu University)
• Murray Batchelor (Australian National University)
• Fumio Hiroshima (Kyushu University)
• Sahel Ashhab (NICT)
• Kazufumi Kimoto (University of the Ryukyus)
• Iñigo Egusquiza (University of the Basque Country)
• Alberto Parmeggiani (University of Bologna)
• Contact Person : Cid Reyes Bustos (NTT IFM)

[00917] High-dimensional regression and sampling

• Abstract : The recovery of high-dimensional functions from point evaluations
or more general linear measurements is a cornerstone of
approximation theory and numerical analysis. While both are
well-developed areas, the recent advances in learning theory
and high-dimensional statistics sparked several new relations and
tools for approximating functions. The research area hence has
seen a quite remarkable synthesis of old and new results,
especially in the context of nonlinear models such as neural
networks and randomized techniques.
In this minisymposium we aim at highlighting recent developments
of high-dimensional regression and sampling with modern
applications in machine learning and function approximation.
• Organizer(s) : Mario Ullrich, Andre Uschmajew
• Speakers Info :
• Mario Ullrich (JKU Linz)
• Matthieu Dolbeault (Sorbonne University)
• Takashi Goda (The University of Tokyo)
• Stefan Heinrich (University of Kaiserslautern)
• Frances Kuo (UNSW Sydney)
• Joscha Prochno (University of Passau)
• Anthony Nouy (Nantes Université)
• Nikolaus Nüsken (King’s College London)
• Max Pfeffer (versity of Chemnitz)
• Tino Ullrich (University of Chemnitz)
• Frederiek Wesel (University of Delft)

[00932] Some recent advances on time-modulated metamaterials

• Abstract : Time-modulated materials constitute the brand new class of metamaterials that is currently raising a huge interest in the mathematics, physics and engineering communities for their ability to achieve extreme wave phenomena. Indeed, by time modulating the properties (acoustic, optical, mechanical, etc.) of materials, one can, for instance, break reciprocity, achieve screening of parts of the domain by wave propagation, and reconfigure materials for optimization. The aim of this minisymposium is to bring together an interdisciplinary group of researchers to discuss the most recent results in the field and to favor interaction between theorists and experimentalists.
• Organizer(s) : Kshiteej J. Deshmukh, Ornella Mattei
• Speakers Info :
• Andrea Alu (The City University of New York)
• Francesco Monticone (Cornell University)
• Debdeep Sarkar (Indian Institute of Science)
• Riccardo Sapienza (Imperial College London)
• Konstantin Lurie (Worcester Polytechnic Institute)
• Liliana Borcea (University of Michigan)
• Fadil Santosa (Johns Hopkins University)
• Kshiteej Jayendra Deshmukh (University of Utah)

[00935] Applied mathematics in industry: Success stories of collaboration between academia and industry in Mexico

• Abstract : The applied collaboration between educational institutions in mathematics and industry is complicated not only from a scientific and technological point of view but also due to intellectual property legislation, organization, response time, and confidentiality. This mini-symposium will present successful real cases of applying mathematics directly to technological development in Mexico and some ideas for achieving greater collaboration.
• Organizer(s) : Ivete Sanchez Bravo, Giovana Ortigoza Alvarez, Yasmin Rios Solis
• Speakers Info :
• Cipriano Santos Borbolla (Tecnológico de Monterrey)
• Ivete Sanchez Bravo (Centro de Investigación en Matemáticas)
• Giovana Ortigoza (Seguros Monterrey New York Life)
• Joyce Vega Madrid (Santander)
• Manuel Morales (Universidad de Montreal)
• yasmin rios solis (Tecnológico de Monterrey)
• Ramses Mena Chavez (Universidad Nacional Autonoma de Mexico)

[00936] Recent advances in applications for large-scale data assimilation and inverse problems.

• Abstract : The development of algorithms for data assimilation (DA) and inverse problems (IPs) has been traditionally driven by very specific applications in engineering, medicine and the geosciences. However, algorithms that were initially tailored for geophysical data assimilation have now been used for solving tomographic inverse problems in engineering. Similarly, developments on imaging methods have been used for DA. This exchange has not only led to further algorithmic developments but also deeper theoretical insights. In this minisymposium we bring together experts on DA and IPs that work at the interface with applied sciences, with the aim of fostering knowledge transfer across disciplines
• Organizer(s) : Svetlana Dubinkina, Marco Iglesias
• Speakers Info :
• Marco Antonio Iglesias (University of Nottingham)
• Tomas Soto (Lappeenranta-Lahti University of Technology (LUT))
• Gottfried Hastermann (University of Postdam )
• Femke Vossepoel (TU Delft)

[00949] Optimal and Efficient Algorithms for Inverse Problems

• Abstract : This minisymposium aims at bringing researchers to share their recent progress and to inspire new ideas in the solution of inverse problems and its applications. Talks will address modeling, and theoretical and computational aspects of numerical methods for solving inverse problems.
• Organizer(s) : Malena Espanol, Rosemary Renaut
• Speakers Info :
• Ricardo Baptista (California Institute of Technology)
• Anna Ma (University of California, Irvine)
• Robert Scheichl (Heidelberg University)
• Malena Espanol (Arizona State University)
• Elizabeta Rebrova (Princeton University)
• Michael Perlmutter (University of California, Los Angeles)
• Rosemary Renaut (Arizona State University)

[00951] Steps Toward Robust and Stable Artificial Intelligence

• Abstract : Despite significant recent technological advances in Artificial Intelligence (AI), AI systems sometimes make errors and will continue making errors in the future, from time to time. AI errors are usually unexpected; sometimes they are also malicious with the potential to result in dramatic and tragic consequences.

Handling and understanding abstract properties of these errors and developing methods of defence against various attacks and instabilities in modern large-scale high-dimensional AI operating in high-dimensional non-stationary world requires appropriate mathematical methods and techniques. This mini-symposium focuses on discussing relevant mathematical machinery for the analysis and verification of AI robustness and stability.

• Organizer(s) : Ivan Tyukin, Alexander N. Gorban, Desmond Higham
• Speakers Info :
• Anders Hansen (University of Cambridge)
• Desmond Higham (University of Edinburgh)
• Alexander Bastounis (University of Leicester)
• Andrei Zinovyev (Paris Artificial Intelligence Research Institute)
• Ivan Tyukin (King’s College London)

[00952] Numerical methods for emerging flow problems in geosciences

• Abstract : In recent years, various flow problems have emerged in geosciences, and they demand development in numerical methods to meet scientific research and industry application needs. Such problems are generally multiscale and multiphysics; they involve various phenomena at different spatial and temporal scales, and our capabilities to simulate the problems remain limited. An example problem is the 2010 Gulf of Mexico oil spill that started from a small-scale effluent jet at the bottom of the ocean and then migrated to water surfaces as floating film patches with huge horizontal sizes. These problems are beyond the reach of conventional approaches, and their simulation is challenging, and new methods have to be developed. This symposium provides researchers with a platform to present their algorithms and simulations for these flow problems, including porous media flows, atmosphere flows, ocean flows, ocean ecosystems, etc. The presenters will discuss encountered difficulties, possible approaches, and future directions. The symposium contains presentations on computational methods and simulation of actual industry problems.
• Organizer(s) : Jose E. Castillo, Hansong Tang, Anne-Claire Bennis
• Speakers Info :
• Prabir Daripa (Department of Mathematics, Texas A&M University)
• Jared Brzenski (Computational Science Research center San Diego State University)
• Jose E Castillo (Computational Science Research Center at San Diego State University)
• Julian Koellermeier (Bernoulli Institute, University of Groningen)
• Craig Epifanio (Department of Atmospheric Sciences, Texas A&M University)
• Kevin Viner (Marine Meteorology Division, Naval Research Lab)
• Prabir Daripa (3Department of Mathematics, Texas A&M University)
• Hansong Tang (City College of New York)
• Bailey Armos (Department of Oceanography, Texas A&M University)
• Shuang Zhang (Department of Oceanography, Texas A&M University, )
• Prabir Daripa (Department of Mathematics, Texas A&M University)
• Ignacio Sepulveda (Department of Civil, Construction and Environmental Engineering San Diego State University)

[00955] Incorporating Immune System and Heterogeneous Dynamics into Infectious Disease Modeling

• Abstract : Pathogen interactions with immune systems are dynamic. Modeling these nonlinear interactions has traditionally been a separate endeavor from modeling disease spread in a population. In
the current environment of accelerating zoonotic spillovers, in which increasing numbers of pathogens are adapting to new hosts, habitats that include within-host innate and adaptive immune
systems, as well as sequence-level data, should not be ignored. We bring together a diverse group of researchers to address the resulting multilevel modeling challenges. The three sessions in this
minisymposium will focus on:
1. vector-borne pathogens
2. sexually transmitted pathogens
3. air- and water-borne pathogens
• Organizer(s) : Julie Allison Spencer, Fabio Milner, Joel C. Miller
• Speakers Info :
• Fabio Augusto Milner (Arizona State University)
• Wasiur Rahman KhudaBukhsh (University of Nottingham)
• Hisashi Inaba (University of Tokyo)
• Marina Mancuso (Arizona State University)
• Jessica E. Stockdale (Simon Fraser University)
• Ilaria Dorigatti (Imperial College London)
• Jorge X. Velasco-Hernandez (UNAM)
• Laura Albrecht (Colorado School of Mines)
• Sara Del Valle (Los Alamos National Laboratory)
• Kaitlyn Martinez (Los Alamos National Laboratory)
• Julie Allison Spencer (Los Alamos National Laboratory)
• Joel C. Miller (La Trobe University)

[00957] Mathematics of thin structures

• Abstract : Many models in mechanics, physics and biology invoke thin structures and physical processes therein. With this minisymposium we intend to bring together mathematicians working on the modeling, mathematical analysis and numerics of such models. Topics of particular interest include variational models for mechanical thin films and rods, e.g., featuring wrinkling, prestrain, microstructure, disclocations and their numerical treatment.
• Organizer(s) : Patrick Dondl, Stefan Neukamm
• Speakers Info :
• Patrick Dondl (Albert-Ludwig-University Freiburg)
• Martin Kružík (Czech Academy of Sciences)
• Pierluigi Cesana (Kyushu University)
• Eliot Fried (Okinawa Institute of Science and Technology)
• Alessandra Pluda (University of Pisa)
• Paolo Piovano (Politecnico di Milano)
• Diane Guignard (University of Ottawa)
• David Padilla-Garza (TU Dresden)

[00960] Hierarchical Low Rank Tensors and DNNs for High-dimensional Approximation

• Abstract : The minisymposium aims at bridging the gap between low rank tensors and neural networks for learning
of high-dimensional functions, in particular in the context of uncertainty quantification.
The talks will highlight different aspects ranging from approximation to optimization.
The underlying motivation is to understand strengths and difficulties of network based
representations and to identify structures and techniques that can be combined beneficially.
• Organizer(s) : Martin Eigel, Lars Grasedyck
• Speakers Info :
• Maren Klever (RWTH Aachen)
• Nando Farchmin (Physikalisch-Technische Bundesanstalt Berlin)
• Sebastian Kraemer (RWTH Aachen)
• Thong Le (RWTH Aachen)
• Dima Moser (RWTH Aachen)
• Philipp Trunschke (Nantes Université)
• Andreas Zeiser (HTW Berlin)
• Tim Werthmann (RWTH Aachen)
• Janina Enrica Schütte (WIAS Berlin)
• Robert Gruhlke (WIAS Berlin)
• Mathias Oster (TU Berlin)
• Contact Person : Lars Grasedyck (RWTH Aachen)

[00961] Reinforcement Learning for Financial Modeling

• Abstract : This minisymposium, sponsored by the SIAM activity group in Financial Mathematics, focuses on the development of novel reinforcement learning paradigms for solving problems in financial mathematics. The RL paradigm aims to approximate solutions to stochastic control problems in discrete time in a manner that is agnostic to the dynamics of environment and its response to agents’ actions. The collection of talks covers the incorporation of time-consistent risk-measures into RL, provides explicit error bounds on exploratory control, and develops a new approach to eliciting agents’ risk preferences in an novel inverse RL framework.
• Organizer(s) : Sebastian Jaimungal
• Speakers Info :
• Lukasz Szpruch (University of Edinburgh )
• Mathieu Lauriere (NYU Shanghai )
• Ziteng Cheng (University of Toronto)
• Sebastian Jaimungal (University of Toronto)

[00963] Nonconvex and nonsmooth optimization

• Abstract : Optimization is a powerful tool to harnesses the power of big data in statistics, machine learning, compressed sensing, etc. Many modern optimization problems involve nonconvexity and nonsmoothness which creates a major gap between the actual solutions being computed and the global optimizers that traditional analysis investigates. Such challenges are new opportunities for researchers to make fundamental contributions to analytical and numerical methods for optimization. This mini-symposium aims to gather researchers with similar interests in optimization and foster in-depth discussions.
• Organizer(s) : Sunyoung Shin
• Speakers Info :
• Miju Ahn (Southern Methodist University)
• Yifei Lou (University of Texas at Dallas)
• Chao Wang (Southern University of Science and Technology)
• Sunyoung Shin (Pohang University of Science and Technology)

[00966] Theoretical and computational advances in measure transport

• Abstract : Transportation of measures is an important topic in applied mathematics based on constructing invertible transformations between random variables. These transformations can include deterministic maps, plans and stochastic processes. In recent years, this broad topic has seen wide applications for generative modeling, inference, and comparing probability distributions. Despite these successes, efficiently constructing these transformations remains challenging, especially in high-dimensional problems with complex data manifolds. This minisymposium will present novel statistical analysis and computational methods that widen the breadth of transport methods in statistics and scientific computing applications.
• Organizer(s) : Ricardo Baptista, Arnaud Doucet, Tiangang Cui, Youssef Marzouk
• Speakers Info :
• Tiangang Cui (Monash University)
• Esteban Tabak (New York University)
• Augusto Gerolin (University of Ottawa)
• Ricky Chen (Meta AI)
• Bamdad Washington (University of Washington)
• Valentin De Bortoli (CNRS, ENS Ulm)
• Lenaic Chizat (EPFL)
• Shiying Li (University of North Carolina at Chapel Hill)
• Sergey Dolgov (University of Bath)
• Martin Eigel (WIAS)
• Jonathan Niles-Weed (New York University)
• Contact Person : Ricardo Baptista (California Institute of Technology)

[00967] Stochastic Dynamical Systems and Applications in Data Science

• Abstract : The theory of Dynamical Systems has helped us to analyze models in various quantitative and qualitative ways, but when considering noisy data with tools in stochastic analysis, there are still challenges in many applications to get precise models for different kinds of processes. On the other hand, lots of innovative methods in data science are now opening up new research directions and broadening the range of research fields where conventional dynamical systems can play a role. Therefore, it is important to consider interplanetary research fields between stochastic dynamics and machine learning: how to analyze stochastic dynamic systems based on observation data instead of studying models analytically? And how to analyze Machine Learning algorithms using tools from the theory of stochastic dynamical systems? In this minisymposium, we seek to find a deeper understanding of the mathematical foundations of the state-of-the-art ideas and techniques in data science as well as its applications in understanding stochastic dynamics, through algorithm development, theoretical analysis, and/or computational implementation. Fields can be covered by but are not limited to Stochastic Analysis, Inverse Problems, Stochastic Optimal Control, Numerical Analysis, Optimization, Topological Data Analysis, Nonparametric Statistics, Uncertainty Quantification, Meta Learning and Deep Reinforcement Learning, etc.
• Organizer(s) : Jinqiao Duan, Xiaoli Chen, Ting Gao
• Speakers Info :
• James Greene (Clarkson University)
• Ali Hasan (Duke University)
• Xiaoli Chen (National University of Singapore)
• Yayun Zheng (Jiangsu University)
• Jinqiao Duan (Illinois Institute of Technology)
• Yuling Jiao (Wuhan University)
• Yong Xu (Northwestern Polytechnical University)
• Ting Gao (Huazhong University of Science and Technology)
• Xiaofan Li (Illinois Institute of Technology)
• Doc Luu (IMH-VAST-Vietnam)
• Jianglun Wu (Swansea University)
• Yubin Lu (Illinois Institute of Technology)

[00969] Eigenvalue Problems in Electronic Structure Calculations

• Abstract : The first principles electronic structure calculations have become important tools for studying the material mechanism, understanding and predicting the material properties, and have achieved great success. The key mathematical models for electronic structure calculations are eigenvalue problems or equivalent forms. There are still many challenges on the design of highly efficient and highly accurate computational methods for dealing these eigenvalue problems or equivalent forms, especially for larger system. The purpose of this mini-symposium is to provide a platform for exchanging the recent developments on the numerical methods and theories for eigenvalue problems or equivalent forms arising in electronic structure calculations, and exploring the topic of further research and collaborations.
• Organizer(s) : Huajie Chen (Beijing Normal University), Xiaoying Dai (Academy of Mathematics and Systems Science, CAS), Xin Liu (Academy of Mathematics and Systems Science, CAS), Yuzhi Zhou ( Institute of Applied Physics and Computational Mathematics)
• Speakers Info :
• Zhaojun Bai (University of California, Davis )
• Stefano de Gironcoli (International School for Advanced Studies)
• Muhammad Hassan (Sorbonne University)
• Guanghui Hu (University of Macau)
• Xin Liu (Academy of Mathematics and Systems Science, Chinese Academy of Sciences)
• Meiyue Shao (Fudan University )
• Benjamin Stamm (University of Stuttgart)
• Yanfei Wang (Institute of Geology and Geophysics, Chinese Academy of Sciences)
• Aihui Zhou (Academy of Mathematics and Systems Science, Chinese Academy of Sciences)
• Yuzhi Zhou (Institute of Applied Physics and Computational Mathematics)
• Contact Person : Xiaoying Dai (Academy of Mathematics and Systems Science, Chinese Academy of Sciences)

[00970] High Performance Linear Algebra Software toward Extreme Heterogeneity

• Abstract : Today, the leadership High Performance Computing (HPC) systems accommodates exa-flops capability through massive parallelism from thousands of heterogeneous compute nodes. This poses a huge challenge for math library developers to derive scalable performance. This heterogeneity trend is likely to continue and it is anticipated that future computing systems could have multiple of accelerators or special processing options to accommodate a variety of application needs. This poses a new challenge for handling multiple types of computing node architectures. In this session, we will discuss the latest research on implementing linear algebra libraries for extreme scale heterogeneous computing systems.
• Organizer(s) : Keita Teranishi and Pedro Valero Lara
• Speakers Info :
• Pedro Valero Lara (Oak Ridge National Laboratory)
• George Bosilca (Innovative Computing Laboratory, University of Tennessee, Knoxville)
• Olivier Aumage (INRIA, Bordeaux)
• Hatem Ltaief (King Abdullah University of Science and Technology)
• Vijay Thakkar (Georgia Institute of Technology)
• Qianxiang Ma (Tokyo Institute of Technology)
• Siva Rajamanickam (Sandia National Laboratories)
• Contact Person : Keita Teranishi (Oak Ridge National Laboratory)

[00975] Data-driven methods for learning mathematical models

• Abstract : Mathematical models are important tools helping people understand scientific phenomena in many disciplines. Recent advances in technologies make it easier to collect huge amounts of data, which offers new opportunities on data-driven methods for the identification of mathematical models behind a phenomenon. This minisymposium focuses on learning mathematical models from an observed data set. Topics in this field include identification of governing equations, reconstruction of certain functions in an equation, and learning operators between input and output spaces. Recently, there have been interesting developments in this field, varying from problem formulations, efficient solvers, techniques on improving robustness to theoretical analysis. This minisymposium brings together researchers to discuss recent advances, challenges and applications in this field.
• Organizer(s) : Yuchen He, Hao Liu
• Speakers Info :
• Yuchen He (Shanghai Jiao Tong University)
• David Bortz (University of Colorado Boulder)
• Yimin Zhong (Auburn University)
• Bethany Lusch (Argonne National Lab)
• Contact Person : Hao Liu (Hong Kong Baptist University)

[00977] Recent advances on sparse optimization: algorithms and applications

• Abstract : Sparse optimization arises from various application problems in statistics and machine learning. In the past decades, the well-known Lasso model and its variants have been extensively studied, and many efficient methods have been well explored correspondingly. Nevertheless, efficient methods for solving more and more difficult models involving sparse structures are still under explored. Considering the high dimension of the application problems, it is important to highly utilize their structures thus to obtain efficient algorithms. In this minisymposium, we focus on recent development of the algorithms and applications of the modern sparse optimization.
• Organizer(s) : Lei Yang, Tianxiang Liu
• Speakers Info :
• Liang Chen (Hunan University)
• Puya Latafat (KU Leuven)
• Liaoyuan Zeng (Zhejiang University of Technology)
• Ning Zhang (Dongguan University of Technology)
• Contact Person : Tianxiang Liu (Tokyo Institute of Technology )

[00980] Recent Advances in Applied Mathematics including adopting machine learning and deep learning

• Abstract : Applied mathematics is the field of mathematical methods and statistical reasoning to solve practical problems of a scientific or decision-making nature in a variety of subjects, engineering, medicine, physical and biological sciences. In particular, Industrial mathematics is one of the fastest-growing branches in applied mathematics and plays a growing role in developing robotics and automation systems, mechanical engineering, medicine, and others. It is concerned with developing and finding the most efficient mathematical methods to solve problems arising in recent.
This session consists of recent research trends on applied mathematics, numerical analysis to find optimal solutions, and statistical methodology for uncertainty inference including machine learning (deep learning) applications.
• Organizer(s) : Taeyoung Ha, Soon-Sun Kwon
• Speakers Info :
• YunKyong Hyon (National Institute for Mathematical Sciences)
• Sunju Lee (National Institute for Mathematical Sciences)
• Soon-Sun Kwon (Department of Mathematics, Ajou University, South Korea)
• Dongwook Shin (Department of Mathematics, Ajou University, South Korea)

[00981] Various Methods for the Analysis of PDEs

• Abstract : There has been a strong interaction between classical analysis (theory of function spaces, harmonic analysis, geometric analysis, asymptotic analysis, real analysis, functional analysis, etc ) and nonlinear partial differential equations.
This minisymposium provides a forum to discuss the latest methods for the analysis of nonlinear partial differential equations arising in Mathematical Physics and to exchange ideas for further developments.
• Organizer(s) : Vladimir Georgiev (University of Pisa, Waseda University), Tohru Ozawa (Waseda University)
• Speakers Info :
• Neal Bez (Saitama University)
• Maria Esteban (CNRS and Université Paris-Danphine)
• Kazumasa Fujiwara (Nagoya University)
• Luis Vega (Universidad del Paris Vasco and BCAM)
• Contact Person : Tohru Ozawa (Waseda University)

[00982] Partial Differential Equations in Fluid Dynamics

• Abstract : This mini-symposium is aimed to bring together the leading experts as well as promising young researchers to present their recent results in partial differential equations with applications in fluid dynamics. Key topics focus on the most challenging open problems in the area such as global regularity, uniqueness of solutions, singular limits, boundary layers behavior, and free boundary problems, etc. It also provides a premier interdisciplinary forum for senior and junior researchers to exchange their experiences in the study of partial differential equations. The talks will span from analysis through modeling and computation to applications of partial differential equations.
• Organizer(s) : Yachun Li, Ming Mei, Shinya Nishibata, Ronghua Pan
• Speakers Info :
• Gui-Qiang Chen (University of Oxford)
• Takeshi Gotoda (Tokyo Institute of Technology)
• Feimin Huang (Chinese Academy of Sciences)
• Yucong Huang (The University of Edinburgh)
• Slim Ibrahim (University of Victoria)
• Hideyuki Miura (Tokyo Institute of Technology)
• Yue-Jun Peng (Université Clermont Auvergne)
• Huanyao Wen (South China University of Technology)
• Jiang Xu (Nanjing University of Aeronautics and Astronautics)
• Deng Zhang (Shanghai Jiao Tong University)
• Yongqian Zhang (Fudan University)
• Huijiang Zhao (Wuhan University)
• Contact Person : Yachun Li (Shanghai Jiao Tong University)

[00988] Treatment of infinity and finite-time singularities in differential equations

• Abstract : Finite-time singularities arise in various problems in differential equations and have been ones of the most important issues towards the comprehensive understanding of the global nature of systems for decades.
In recent years, various universal machineries from geometry, dynamical systems and numerical analysis have been proposed and applied to unraveling wide variety of finite-time singularities, as well as appropriate treatments of infinity, and the common nature among them.
This symposium aims at sharing state-of-the-art topics of singularity, instability and unboundedness manifesting in finite times in differential equations towards new foundations of these complex and rich characteristics.
• Organizer(s) : Kaname Matsue
• Speakers Info :
• Koichi Anada  (Waseda University )
• Cris Hasan (University of Glasgow)
• Yu Ichida (Meiji University)
• Shane Kepley (Vrije Universiteit Amsterdam)
• Kaname Matsue (Kyushu University)
• Akitoshi Takayasu (University of Tsukuba)
• Charis Tsikkou (West Virginia University)
• Sebastian Wieczorek (University College Cork)

[00989] Structure and dynamics in complex biological systems

• Abstract : Biological systems have been identified as complex networks consisting of many biomolecules and interactions between them. The dynamics of molecular activities based on such networks are considered to be the origin of biological functions. In the recent progress of mathematical sciences, various methods have been developed to determine important aspects of dynamical properties based on network topologies. Such theories may become breakthroughs to solve the dynamics of complex biological systems. In this symposium, we introduce a wide variety of topological approaches and discuss their future perspectives from both mathematical and biological points of view.
• Organizer(s) : Takashi Okada, Yuji Hirono, Atsushi Mochizuki
• Speakers Info :
• Atsushi Mochizuki (Institute for Life and Medical Sciences, Kyoto University)
• Atsushi Kondo (Department of Mathematics, Kyoto University)
• Jorge Gómez Tejeda Zañudo (Harvard Medical School)
• Ankit Gupta (Department of Biosystems Science and Engineering, ETH Zürich)
• Takashi Okada (Institute for Life and Medical Sciences, Kyoto University)
• Yuji Hirono (Asia Pacific Center for Theoretical Physics)
• Carsten Conradi (HTW Berlin)
• Gheorghe Craciun (Department of Mathematics, University of Wisconsin-Madison)

[00994] Mathematical modeling approach in pharmacokinetics/pharmacodynamics

• Abstract : Pharmacokinetics/pharmacodynamics (PK/PD) modeling is an essential component of drug discovery and development. PK modeling describes the relationship between dose and drug concentration while PD modeling quantifies the relationship between drug concentration and therapeutic effects. A model-based simulation could provide a scientific decision-making information in new drug development process and the prediction power for the success of clinical trial. The session is dedicated to discuss recent advances and challenges in PK/PD modeling and simulation to overcome fundamental limitation and conventional approaches.
• Organizer(s) : Soyoung Kim, Seongwon Lee
• Speakers Info :
• Sungpil Han (Catholic University of Korea )
• Suein Choi (Catholic University of Korea )
• Jong Hyuk Byun (Pusan National University)
• Yun Min Song (KAIST)
• Contact Person : Soyoung Kim (National Institute for Mathematical Sciences)

[01000] Advances in random dynamical systems and ergodic theory

• Abstract : Random or non-autonomous dynamical systems provide useful and flexible models to investigate systems whose evolution depends on external factors, such as noise or seasonal forcing. In recent years, there have been significant advances in the ergodic-theoretic investigation of random dynamical systems, allowing for an enhanced understanding of statistical properties, coherent structures, and the complicated interplay between noise and chaotic dynamics. This minisymposium presents the work of experts and emerging mathematicians working in this vibrant and evolving field, featuring both general-audience lectures giving an overview of the field, and expert-level talks on cutting-edge advances.
• Organizer(s) : Alex Blumenthal, Cecilia Gonzalez-Tokman
• Speakers Info :
• Jinxin Xue (Tsinghua University)
• Jeroen Lamb (Imperial College)
• Cecilia Gonzalez Tokman (University of Queensland)
• Jason Atnip (University of Queensland)
• Dennis Chemnitz (Free University of Berlin)
• Maximilian Engel (Free University of Berlin)
• Isaia Nisoli (Universidade Federal de Rio de Janeiro)
• Bernat Bassols-Cornudella (Imperial College London)
• Matheus Manzatto de Castro (Imperial College London)
• Giuseppe Tenaglia (Imperial College London)

[01024] Multiscale modeling and simulation methods of inhomogeneity in defected systems

• Abstract : Inhomogeneity, as the source of various multiscale effects in systems such as materials and data, play essential roles in the material properties and the data structure of these defected systems with multiple scales. The complexity of modeling defects and their impact to the properties of the systems present new challenges for mathematical modeling and analysis. Multi-scale, multi-physics and multi-fidelity models are required to accurately describe the complicated phenomena associated with the inhomogeneity. Speakers in this minisymposium will discuss recent advances in modeling approaches and simulation methods, and new findings obtained in analysis and simulations.
• Organizer(s) : Shuyang Dai, Luchan Zhang
• Speakers Info :
• Zhijian Yang (Wuhan University)
• Lei Zhang (Shanghai Jiao Tong University)
• Peicheng Zhu (Shanghai University)
• Yejun Gu (Agency for Science Technology and Research)
• Xiaohua Niu (Xiamen University of Technology)
• Xiaoxue Qin (Hong Kong Univesity of Science and Technology)
• Luchan Zhang (Shenzhen University)
• Xiaowen Fu (Hong Kong Univesity of Science and Technology)
• Xiaoyin Wang (Wuhan University)

[01028] High-order numerical methods for nonlinear PDEs

• Abstract : Nonlinear partial differential equations (PDEs) have been widely used in various fields, such as thermodynamics, biology, material science, electromagnetism, to name just a few. Even though the history of the study on numerical PDEs is quite long, there are still many open and important questions. In this mini-symposium, we aim at gathering researchers working on the topic to discuss recent advances on the development and numerical analysis of high-order numerical methods for approximately solving nonlinear PDEs, in order to further promote the developments of the topic.
• Organizer(s) : Buyang Li, Weifeng Qiu, Zhi Zhou
• Speakers Info :
• Li-Lian Wang (Nanyang Technological University)
• Natalia Kopteva (University of Limerick)
• Ke Shi (Old Dominion University)
• Balazs Kovacs (University of Regensburg)
• Xiang Zhong (City University of Hong Kong)
• Yupei Xie (The Hong Kong Polytechnic University)
• Qiqi Rao (The Hong Kong Polytechnic University)
• Jiang Yang (Southern University of Science and Technology)
• Huangxin Chen (Xiamen University)
• Hongtao Chen (Xiamen University)
• Huadong Gao (Huazhong University of Science and Technology)
• Contact Person : Weifeng Qiu (City University of Hong Kong)

[01029] Extremal Combinatorics and Probabilistic Combinatorics

• Abstract : Combinatorics studies discrete objects and their properties, which has striking applications in statistical physics, biology, computer science and so on. This minisymposium we propose will focus on Extremal Combinatorics and Probabilistic Combinatorics, which are two of the most central branches of modern combinatorial theory. We aim to attract the top researchers to the minisymposium, where they will present their recent results, discuss open problems, exchange research ideas, and initiate new collaborations. We expect the minisymposium will have a lasting impact in this area.
• Organizer(s) : Guanghui Wang，Shenggui Zhang
• Speakers Info :
• Shinya Fujita (Yokohama City University)
• Jianfeng Hou (Fuzhou University)
• Liying Kang (Shanghai University)
• Hong Liu (Extremal Combinatorics and Probability Group, Institute for Basic Science (ECOPRO IBS))
• Hongliang Lu (Xi’an Jiaotong University)
• Jie Ma (University of Science and Technology of China)
• Kenta Kenta Ozeki (Yokohama National University)
• Guanghui Wang (Shandong University)
• Zixiang Xu (Extremal Combinatorics and Probability Group, Institute for Basic Science (ECOPRO IBS))
• Guiying Yan (Chinese Academy of Sciences)
• Kiyoshi Yoshimoto (Nihon University)
• Shenggui Zhang (Northwestern Polytechnical University)

[01036] Progress in Mathematical Programming Methods and Applications

• Abstract : (Mixed-)integer (non-)linear optimization has been one of the biggest successes in transferring mathematical insight into real-world impact. Due to the generality of the integer programming model combined with continuous improvement in solving capability, the list of industrial applications is virtually endless. While the problems are usually NP-hard in theory, in practice, an incredible number of real-world instances can be solved within seconds. The algorithmic progress outpaced the increase in computer performance by far; combined, the solver speed has exponentially grown over the last 40 years. We present the latest state-of-the-art and a glimpse into the future.
• Organizer(s) : Thorsten Koch
• Speakers Info :
• Thorsten Koch (Technische Universität Berlin / Zuse Institute Berlin)
• Shoji Shimizu (NTT DATA Mathematical Systems Inc.)
• Robert Luce (Gurobi GmbH)
• Timo Berthold (Fair Isaac Deutschland GmbH)
• Gerald Gamrath (Cardinal Operations)
• Junko Hosoda (Hitachi Ltd.)
• Jan-Patrick Clarner (Zuse Institute Berlin)
• Hiroyuki Koshiro (ROHTO Pharmaceutical Co. / Kyushu University)

[01037] From interacting particles to social dynamics: modelling and analysis of agent-based systems

• Abstract : Modelling of social dynamics, including social media or epidemics, has a long tradition.
Recently, stochastic modelling has become more relevant, touching upon such diverse aspects as
uncertainty quantification or robust control. Despite recent advances,
there is still a gap between the theoretical analysis of models and the model calibration based on empirial
data. In this minisymposium, we aim at bringing together researchers from dynamical systems, scientific computing and empirical research to discuss connections between agent-based models, particle systems and social simulation, with particular focus on the numerical analysis of agent-based models, reduced-order models and the role of random forcing.
• Organizer(s) : Ana Djurdjevac, Carsten Hartmann
• Speakers Info :
• Natasa Conrad ( Zuse Institute Berlin)
• Natasa Dragovic (Tufts University)
• Benjamin Goddard ( University of Edinburgh)
• Tommaso Rosati (University of Warwick)
• Contact Person : Ana Djurdjevac (Freie Universität Berlin)

[01040] Optimization and its Applications

• Abstract : This minisymposium focuses on recent advances in mathematical optimization with versatile subjects such as optimal control, variational analysis, dynamical systems, nonlinear functional analysis, network systems, fixed point theory, and so forth. Application topics discussed here mainly lie in mathematical economics and engineering, in particular, optimal economic growth, general equilibrium analysis, utility theory, and Marxian economics as well as generative adversarial networks, but possible applications are not necessarily restricted to such problems. The minisymposium serves for a communication with applied mathematics in different areas.
• Organizer(s) : Nobusumi Sagara, Alexander Zaslavski
• Speakers Info :
• Nobusumi Sagara (Hosei University)
• Yuhki Hosoya (Chuo University)
• Naoki Yoshihara (University of Massachusetts at Amherst)
• Naoki Sato (Meiji University)
• Minako Fujio (Yokohama National University)
• Chaowen Yu (Rissho University)
• Joel Blot (Universite Paris 1 Pantheon-Sorbnnne)
• Igor Griva (George Mason University)

[01043] Applications of applied mathematics towards ocean engineering and related technologies

• Abstract : A reasonable knowledge about the response of nonlinear offshore dynamical systems under environmental loads is necessary but challenging. This is due to the coupling of internal forces along with external excitations. In this mini symposium, mathematical model of nonlinear offshore systems will be considered with the intention of keeping the response close to the desired one. This can be achieved using sub-optimal control mechanism derived from nonlinear quadratic regulator theory and also its associated data can be visualized via ensemble statistical sense.
• Organizer(s) : Manikandan R, R.Sakthivel
• Speakers Info :
• Alankrita Singh (Assistant Professor Department of Mechanical Engineering IIT Roorkee )
• Shalini Pal (Post doctoral researcher Department of Electrical Engineering IIT Kanpur India)
• Payel Chaudri (Department of Civil Engineering IIT Kharagpur)
• Rameesha T V (Scientist B, National Transportation Planning and Research Center Government of India )
• Satarupa Dey (Assistant Professor and Head Department of Botany Shyampur Siddheswari Mahavidyalaya (Affiliated to University of Calcutta) West Bengal India)
• Contact Person : MANIKANDAN | RAJASEKARAN (DEPARTMENT OF APPLIED MATHEMATICS BHARATHIYAR UNIVERSITY COIMBATORE TAMIL NADU INDIA)

[01050] Delay equations in mathematical biology

• Abstract : The mathematical modelling of many biological systems require the application of delay differential equations, since the future evolution of such systems depend of the duration of various processes. Examples range from cell cycle length in cell biology, maturation delay in population dynamics, and latency period in epidemiology . Time delays naturally occur in the control of biological systems as well. On the other hand, delay differential equations pose great challenges from the modelling, analysis, and numerical points of view, especially if nonlinearities are present and the delay is defined in a more involved way, such as state dependent delays. The goal of this minisymposium is to highlight recent advances and novel applications of delay equations in the field of mathematical biology.
• Organizer(s) : Gergely Röst
• Speakers Info :
• Gergely Röst (University of Szeged, Hungary)
• Rongsong Liu (University of Wyoming, USA)
• Francesca Scarabel (University of Leeds, UK)
• Toshikazu Kuniya (Kobe University, Japan)

[01054] Scalable Solvers for Multiphysics Problems

• Abstract : Many applications in computational sciences and engineering involve multiple physical quantities. Accurate simulations of multiphysics problems involve the solution of large sparse linear equation systems consisting of blocks that correspond to the different physics and their coupling. This has to be taken into account when designing scalable and efficient solvers for such kind of problems.

This minisymposium addresses the development and implementation of the solution strategies for large-scale complex multiphysics systems as well as the presentation of results on modern supercomputers.

• Organizer(s) : Alexander Heinlein, Matthias Mayr
• Speakers Info :
• Matthias Bolten (University of Wuppertal)
• Patrick Farrell (University of Oxford)
• Rolf Krause (Università della Svizzera italiana)
• Martin Lanser (University of Cologne)
• Matthias Mayr (University of the Bundeswehr Munich)
• Ulrike Meier Yang (Lawrence Livermore National Laboratory)
• Friederike Röver (Technische Universität Bergakademie Freiberg)
• Jakub Šístek (Czech Academy of Sciences)
• Kees Vuik (Delft University of Technology)
• Jing-Yuan Wang (University of Macau)
• Contact Person : Alexander Heinlein (Delft University of Technology (TU Delft))

[01058] Recent advances in stochastic nonlinear dynamics: modeling, data analysis

• Abstract : Stochasticity, nonlinearity and complexity can be found and used in many different fields, including the natural sciences such as mechanics, physics, biology, neuroscience as well as technology and engineering fields such as aeronautics, astronautics, information theory and computer science. The symposium focuses on the stochastic modeling and data analysis in nonlinear dynamical system. The contributions cover various fields such as Brownian motion, Levy process, and fractional Brownian motion et al and applications, data analysis methods and techniques combining complex systems science and machine learning. This symposium provides a forum to discuss science, strengthen relationships, create new contacts and gain a direct experience of new progresses in stochastic modeling and data analysis.
• Organizer(s) : Yong Xu, Bin Pei, Yongge Li
• Speakers Info :
• Qi Liu (Tokyo Institute of Technology)
• Yunzhang Li (Fudan University & The Chinese University of Hong Kong )
• Huanyu Yang (Free University of Berlin)
• Xiaole Yue (Northwestern Polytechnical University)
• Jianwei Shen (North China University of Water Resources and Electric Power)
• Bin Pei (Northwestern Polytechnical University & Friedrich Schiller University Jena )
• Yongge Li (Northwestern Polytechnical University)
• Zifei Lin (Xi’an University of Finance and Economics)

[01060] Exploring Arithmetic and Data Representation Beyond the Standard in HPC

• Abstract : This mini-symposium explores the potential of utilizing arithmetic operations and data representations other than FP32 (single-precision) and FP64 (double-precision) in numerical computations with HPC. Such attempts include not only higher or lower floating-point precision, but also integer representation, error handling, rounding, etc., and are intended not only for performance but also for quality and reliability of computations. We explore various angles of this challenge, from low-level implementations to applications.
• Organizer(s) : Daichi Mukunoki, Naohito Nakasato, Tomonori Kouya
• Speakers Info :
• Daichi Mukunoki (RIKEN Center for Computational Science)
• David DEFOUR (Universite de Perpignan)
• Fabienne Jézéquel (Sorbonne Université, CNRS, LIP6, Université Paris-Panthéon-Assas)
• Tomonori Kouya (Shizuoka Institute of Science and Technology)
• Maho Nakata (RIKEN)
• Daisuke Takahashi (University of Tsukuba)
• Elise de Doncker (Western Michigan University)
• Naohito Nakasato (University of Aizu)
• Fumiya Kono (University of Aizu)
• Hiroshi Kawai (Toyo University)

[01065] Mathematics and its Applications of Risk and Decision

• Abstract : In the age of uncertainty highlighted by events such as the financial crisis and the outbreak of COVID-19, policy makers need to acquire a holistic yet rigorous understanding of decision making under risk. This symposium aims to bring together academic researchers of diverse background to showcase the latest development of the mathematical theories and applications for risk and decision. The covered topics include stochastic control, optimal decision-making, model uncertainty and their applications in fields like economics and insurance. The collective effort of the expert speakers from this symposium will constitute impactful decision protocols and policy implications.
• Organizer(s) : Alex S.L. Tse, Andrea Macrina
• Speakers Info :
• Tolulope Fadina ( University of Essex)
• Hoi Ying Wong (The Chinese University of Hong Kong)
• Alex Sing-lam Tse (University College London)
• Andrea Macrina (University College London)

[01070] PDE Based Image Processing

• Abstract : Partial differential equation (PDE) method shows better performance than traditional image processing methods, and some new ideas have never been considered in traditional image processing, such as affine invariant feature extraction, image structure and texture decomposition, etc. This method aims to establish the mathematical model of a partial differential equation, and then make the image change according to the PDE, and finally achieve the desired effect. PDE models are mathematically robust and also provide insights in developing new algorithms. Fusion of AI/ML methods and PDE models makes it even more effective.
• Organizer(s) : B. V. Rathish Kumar
• Speakers Info :
• Rathish Kumar Venkatesulu Bayya (Indian Institute of Technology Kanpur)
• Abdul Halim (Kaust)
• Rajesh Kumar Pandey (IIT BHU)
• Kedar Buda (IIT Kanpur)

[01071] Recent Advances on Groebner Bases and Their Applications

• Abstract : The purpose of this mini-symposium is to share recent developments in the theory of Gr”obner bases and their applications. Gr”obner bases have been studied by many researchers and have been used in various fields including commutative algebra, algebraic geometry, and engineering. Solving interesting open problems and devising efficient algorithms are still highly desired. In this mini-symposium, we will discuss, in particular, the complexity of Gr”obner basis computation, applications of Gr”obner bases, and algorithms for Gr”obner bases in parametric, non-commutative, or valuation polynomial rings.
• Organizer(s) : Yuki Ishihara
• Speakers Info :
• Yuki Ishihara (Tokyo University of Science)
• Ryoya Fukasaku (Kyushu University)
• Kazuhiro Yokoyama (Rikkyo University)
• Yuta Kambe (Mitsubishi Electric Corporation)
• Yosuke Sato (Tokyo University of Science)
• Tristan Vaccon (University of Limoges)
• Ari Dwi Hartanto (Universitas Gadjah Mada)

[01072] Data-Driven Methods in Scientific Machine Learning

• Abstract : The ample availability of data for scientific problems, in addition to developments in hardware and software for machine and deep learning have changed the way mathematicians approach problems, particularly those in numerical analysis and scientific computing. Rather than relying strictly on the physics of the problem at hand for modeling and computing, data-driven methods incorporate observational data to inform their solutions. This session focuses on significant advances in data-driven methods and machine learning for a variety of problems in scientific computing, including but not limited to: function approximation, inverse problems, dynamical systems, dimensionality reduction, and generally scientific machine learning.
• Organizer(s) : Victor Churchill, Dongbin Xiu
• Speakers Info :
• Florian Schaefer (Georgia Tech)
• Haizhao Yang (University of Maryland)
• Guannan Zhang (Oak Ridge National Laboratory)
• Feng Bao (Florida State University)
• Tan Bui-Thanh (Oden Institute, University of Texas)
• Dongbin Xiu (The Ohio State University)
• Victor Churchill (Trinity College / Ohio State University)

[01074] Approximation Theory, Approximation Methods and Applications (ATAMA)

• Abstract : Approximation theory is a subject that serves as an important bridge between pure and applied mathematics. It has become a very important branch of mathematics and is of fundamental support of many new disciplines and research areas.

The proposed minisymposium aims to merge together active researchers in the following topics:
polynomial inequalities in the multivariate real and complex fields, pluripotential numerics, kernel-based approximation, generalized sampling type operators and exponential sampling.
Special attention will be given to applications, modeling, as well as computational and numerical aspects in approximation.

• Organizer(s) : Leokadia Bialas-Ciez, Stefano De Marchi
• Speakers Info :
• Stefano De Marchi (University of Padova)
• Mariusz Bieniek (Maria Curie-Skłodowska University in Lublin)
• Leszek Plaskota (University of Warsaw)
• Maciej Klimek (Uppsala University)
• Mieczyslaw Mastylo (Adam Mickiewicz University in Poznan)
• Janin Jaeger (Justus-Liebig University)
• Francesco Marchetti (University of Padova)
• Elisabeth Larsson (Uppsala University)
• Giovanni Migliorati (Sorbonne University)
• Michael Slawinski (Memorial University of Newfoundland)
• Contact Person : Leokadia Bialas-Ciez (Jagiellonian University in Krakow)

[01081] New Trends in Education of Applied Mathematics, Industry, Technology and Knowledge Transfer

• Abstract : The field of applied mathematics is constantly evolving and it is important for professionals in the industry amd academics to stay up-to-date with the latest trends and developments. This minisymposium is aimed at discussing how the recent technology developments are changing both how and what we need to teach in undergraduate applied mathematics programs. We will provide a platform for experts to share their insights and experiences on the current and future trends in the education of Applied Mathematics and its applications in industry and technology.
• Organizer(s) : Dae-Jin Lee (IE University), David Gómez-Ullate (IE University), Luis Vega (UPV/EHU-BCAM)
• Speakers Info :
• David Gómez-Ullate (IE University)
• Amrik Sen (Plaksha University)
• Beatriz Rumbos (ITAM – Instituto Tecnológico Autónomo de México)
• Sara Lombardo (Heriot Watt University)
• Contact Person : Dae-Jin Lee (IE University)

[01088] Differential Equations meet Data: Scientific Machine Learning for Cardiovascular Applications

• Abstract : In silico models offer effective tools to address cardiovascular diseases and quantitatively analyze clinical data. Recently, many methods have been proposed to blend numerical solvers with machine learning techniques. These approaches hold promise for the patient-specific personalization of models and for the acceleration of their numerical resolution. This minisymposium will offer a forum to discuss the state-of-the-art and future lines of research toward an increasingly effective integration between clinical data and numerical simulations
• Organizer(s) : Francesco Regazzoni, Stefano Pagani, Francisco Sahli Costabal, Simone Pezzuto
• Speakers Info :
• Stefano Pagani (MOX, Dipartimento di Matematica, Politecnico di Milano)
• Francisco Sahli Costabal (Pontificia Universidad Católica de Chile)
• Gianluigi Rozza (SISSA, Mathematics Area, mathLab, International School for Advanced Studies)
• Haibo Liu (Laboratoire Jacques-Louis Lions, Paris and Inria Paris)
• Simone Saitta (Department of Electronics Information and Bioengineering, Politecnico di Milano, Milan, Italy)
• Caroline Roney (Queen Mary University of London)
• Riccardo Munafò (Department of Electronics Information and Bioengineering, Politecnico di Milano, Milan, Italy)
• Shuang Qian (King’s College London )
• Toby Simpson (Università della Svizzera italiana)
• Cécile Daversin-Catty (Simula Research Laboratory)
• Contact Person : Francesco Regazzoni (MOX, Dipartimento di Matematica, Politecnico di Milano)

[01098] Elucidating theoretical biology and deep learning by algebraic statistics and topology

• Abstract : Nonlinear algebra and topology are gaining popularity as a tool for studying theoretical biology including phylogenetics and mathematical neuroscience. Applying these modern mathematical fields can lead to a breakthrough in the important fields. However, there can be rather a limited access to the practical resources for the sophisticated mathematical methods. Thus, it is important to introduce the modern algebraic and topological methods and exchange their hands-on skills in person. In this minisymposium, each speaker will talk about the combinations of modern mathematical methods with statistical machine learning and their applications.
• Organizer(s) : Keiji Miura
• Speakers Info :
• Hiroshi Kera (Chiba University)
• David Barnhill (Naval Postgraduate School)
• Keiji Miura (Kwansei Gakuin University)
• Hiromichi Suetani (Oita University)

[01099] Physics-based and data-driven modeling for digital twins

• Abstract : Digital twins have emerged in recent years as a paradigm for the lifetime operation of physical assets. A digital twin is an exact virtual representation of a physical asset that uses real-time data. The construction of a digital twin requires the use and sometimes union of different modeling methods that include physics-based modeling, data assimilation, data-driven modeling, and model reduction. This minisymposium has the goal to bring together researchers working on the theory and practice of modeling in the context of digital twins with a particular focus on industrial applications.
• Organizer(s) : Karim Cherifi, Ion Victor Gosea
• Speakers Info :
• Francisco Chinesta (ENSAM)
• Irina Tezaur (Sandia National Labs)
• Shen Yin (Norwegian University of Science and Technology (NTNU))
• Dimitri Goutaudier (Federal Institute of Technology Lausanne (EPFL))
• Peter Benner (MPI Magdeburg)
• Steven Brunton (University of Washington)
• Ion Victor Gosea (MPI Magdeburg)
• Jochen Cremer (TU Delft)
• Olga Fink (Federal Institute of Technology Lausanne (EPFL))
• Sebastian Hartmann (Siemens AG/TU Munich)
• Karim Cherifi (TU Berlin)
• Zoltan Horvath (Széchenyi István University)

[01107] Efficient methods for Isogeometric Analysis

• Abstract : Isogeometric Analysis is a relatively novel technique used to solve PDEs. The same functions that are used to describe the computational domain (typically B-Splines or NURBs) are used also to approximate the solution of the considered PDE. This approach brings several advantages with respect to the classical finite element method, but it also leads to new challenges, in particular from the computational point of view. This mini-symposium aims at gathering researchers that contribute to the improvement of the efficiency for isogeometric methods.
• Organizer(s) : Mattia Tani, John Evans, Angelos Mantzaflaris, Stefan Takacs
• Speakers Info :
• Monica Montardini (University of Pavia)
• Alexandra Bünger (University of British Columbia)
• Michael Barton (BCAM)
• Rafael Vázquez (EPFL)
• Tadej Kanduč (University of Ljubljana)
• Joaquin Cornejo Fuentes (INSA Lyon)
• Melina Merkel (TU Darmstadt)
• Massimiliano Martinelli (CNR-IMATI)
• Margarita Chasapi (EPFL)
• Contact Person : Mattia Tani (University of Pavia)

[01111] Mathematical and numerical analysis on blow-up phenomena

• Abstract : Blow-up phenomena appear in various science fields. They are described by partial differential equations. It is difficult to construct a general theory for the blow-up phenomena of partial differential equations. Therefore, we need to approach them from both mathematical and numerical aspects. In this mini-symposium, we discuss blow-up time and blow-up profile from the perspectives of mathematical and numerical analysis. The purpose of this minisymposium is to bring together researchers from both mathematical and numerical analysis to discuss recent advances on blow-up phenomena.
• Organizer(s) : Takiko Sasaki
• Speakers Info :
• Takiko Sasaki (Department of Mathematical Engineering, Faculty of Engineering, Musashino University and Mathematical Institute, Tohoku University)
• Shunsuke Kitamura (Mathematical Institute, Tohoku University)
• Chien-Hong Cho (Department of Applied Mathematics, National Sun Yat-sen University)
• Hatem Zaag (CNRS and Université Sorbonne Paris Nord )

[01136] Advances in Variational Models and PDEs for Images

• Abstract : Variational models and partial differential equations have been used to model various aspects of images, and this has led to many effective approaches to solve diverse image processing problems, such as image denoising, segmentation, reconstruction. This minisymposium will provide a venue for the latest advances in analysis and algorithm design for variational models and PDEs, and we will showcase state-of-the-art applications in image processing.
• Organizer(s) : Gunay Dogan, Ronald Lok Min Lui
• Speakers Info :
• Gunay Dogan (National Institute of Standards and Technology)
• Sung Ha Kang (Georgia Institute of Technology)
• Chang Ock-Lee (KAIST)
• Da Chen (Qilu University of Technology)
• Ronald Lok Min Lui (The Chinese University of Hong Kong)
• Raymond Chan (City University of Hong Kon)
• Doga Gursoy (Argonne National Lab)
• Maryam Yashtini (Georgetown University)
• Tieyong Zeng (The Chinese University of Hong Kong)
• Gary Choi (Massachusetts Institute of Technology)
• Prashant Athavale (Clarkson University)
• Zhantao Ma (The University of Hong Kong)

[01138] Advances in embedded and Eulerian methods for fluid-structure interaction

• Abstract : This mini-symposium brings together young researchers and experts working on numerical modeling of fluid-structure interaction problems. To avoid the remeshing step involved in ALE method, other approaches based on non-body fitted grids have become more and more attractive. One is the embedded approach where a Lagrangian structure solver interacts with an Eulerian fluid solver to enforce appropriate conditions on the immersed interface. Another one is the fully Eulerian approach where both the fluid and the elastic structure are discretized on the same grid. This mini-symposium welcomes contributions to embedded and fully Eulerian numerical modelling for both compressible and incompressible FSI.
• Organizer(s) : Michel Bergmann, Thomas Milcent
• Speakers Info :
• Thomas Milcent (ENSAM – université de Bordeaux – I2M)
• Marguerite Champion (LJLL – Sorbonne Université)
• Nicolas Favrie (IUSTI Marseille université)
• Michel Bergmann (Inria – centre de l’université de Bordeaux)

[01140] Modelling and simulation of electro-chemo-mechanical processes in batteries and fuel cells

• Abstract : The mini-symposium addresses various aspects of modelling and simulation of electro-chemo-mechanical processes in batteries and fuel cells. It is aimed at scientists from academia and industry and focuses on the physical and mathematical fundamentals of the processes rather than the system level. Aspects such as model derivation at the microscopic level and its upscaling, model validation and model reduction are the focus of this mini-symposium. It covers contributions on lithium and sodium ion and redox flow batteries, solid oxide and polymer electrolyte fuel cells, among others.
• Organizer(s) : Thomas Carraro, Manuel Landstorfer, Yosuke Komatsu
• Speakers Info :
• Marcos Vera Coello (Carlos III University of Madrid)
• Edwin Knobbe (BMW AG)
• Javid Piruzjam (Mercedes-Benz AG)
• Robert Morasch (Technical University of Munich)
• Jon Chapman (University of Oxford)
• Luigi Cabras (Università di Brescia)
• Alireza Selahi (Weierstrass Institute for Applied Analysis and Stochastics)
• Paul Maidl (German Aerospace Center)
• Linda Bolay (German Aerospace Center)
• Raphael Schoof (Karsruhe Institute of Technology)
• Thomas Carraro (Helmut Schmidt University / UniBw Hamburg)

[01149] Sparse optimization techniques and applications

• Abstract : Natural data that arise in several applications (such as biomedical imaging) are inherently sparse in suitable transformation domains provided in general by the gradient, wavelets, and their other variants. Such data sets can be stored in terms of a few samples, which in turn can be used for retrieving the original data with minimal or no loss of information via sparsity-seeking optimization techniques. A wealth of recent developments – going by the name of compressive sensing – aim at signal acquisition compressively and sparse (or economical) description of data of certain types. Of late, this area of research has seen some fascinating developments, which include adaptive solvers, sparsity-driven deep learning methods, hardware-friendly algorithms suitable for biomedical imaging and impedance tomography, etc. The symposium aims at discussing some recent developments in sparse representation/optimization theory that pertain to fundamental as well as application-centric topics.
• Organizer(s) : K. Z. Najiya, R. Ramu Naidu, Pradip Sasmal, Phanindra Jampana
• Speakers Info :
• NAJIYA K Z (Post Doctoral Fellow)
• C. S. Sastry (Professor)
• Shantam Gulati (PhD Scholar)
• Prasad Theeda (Faculty)

[01158] Oblique derivative boundary volume problems – numerical methods and applications

• Abstract : In this mini-symposium we will focus on recent efforts in developing various numerical approaches for solving the oblique derivative boundary volume problems. Namely, we will apply the finite element, finite volume and boundary element methods to solve different engineering problems which involve the oblique derivatives.
• Organizer(s) : Marek Macák, Zuzana Minarechová
• Speakers Info :
• Zhi Yin (Jiangsu Ocean University)
• Abdallah Bradji (Annaba University)
• Zuzana Minarechová (Slovak University of Technology in Bratislava)
• Marek Macák (Slovak University of Technology in Bratislava)

[01165] Adapted Wasserstein distance for robust finance

• Abstract : The minisymposium brings together scientists working on the developments of new transport distances suited for the analysis of financial markets in case of model uncertainty. The four talks illustrate the powerful use of newly
developed tools in optimal transport, and in particular of the Adapted Wasserstein distance, to tackle crucial problems in finance, such as robustness of optimal decision making to model misspecification.
• Organizer(s) : Beatrice Acciaio
• Speakers Info :
• Beatrice Acciaio (ETH Zurich)
• Jan Obloj (Oxford University)
• Sigrid Kallblad (KTH Royal Institute of Technology Stockholm)
• Xin Zhang (Vienna University)

[01167] Recent development in mean field control and learning

• Abstract : Mean field control problems have attracted massive interest and provide a promising approach dealing with multi-agent systems. The aim of this mini-symposium is to share the new trends of both theory and applications of this area. We would like to invite the frontier scholars to talk about recent developments in various learning methods for the mean field control problems under different application aspects, as well as analyzing HJB equation in the infinite dimensional spaces for the theory prospective.
• Organizer(s) : Xin Guo, Jiacheng Zhang
• Speakers Info :
• Halil Mete Soner (Princeton University)
• Huyên Pham (Université Paris Cité)
• Janka Möller (University of Vienna)
• Jodi Dianetti ( Bielefeld University)
• Lane Chun Yeung (Columbia University)
• Contact Person : Jiacheng Zhang (UC Berkeley)

[01174] Hypernetworks and their dynamics in theory and applications

• Abstract : Collective dynamics of interacting units are prevalent in nature and engineering, whether it is neurons in the brain or opinion building in social networks. Recently, there has been tremendous interest in simultaneous interactions between three or more units, so-called higher-order interactions. The drive comes from various disciplines, for example ecology, where simultaneous competition for resources of multiple species causes nonstationary fluctuations of species abundancies. Such advances suggest to model the underlying structures by hypernetworks represented by hypergraphs.

This minisymposium displays recent models in real-world applications and theoretical studies on hypernetwork dynamics to highlight development and connect experts from both communities.

• Organizer(s) : Christian Bick, Sören von der Gracht
• Speakers Info :
• Tiago Pereira (Universidade de São Paulo)
• Bob Rink (Vrije Universiteit Amsterdam)
• Guillaume St-Onge (Northeastern University)
• Alexander Lohse (Universität Hamburg)
• Contact Person : Sören von der Gracht (Paderborn University)

[01178] On the Interplay between Kinetic Theory and Quantum Dynamics

• Abstract : The kinetic theory describes the non-equilibrium dynamics of a many-body system from the statistical viewpoint, which is acknowledged to be a significant model to bridge the microscopic and macroscopic regimes in classical mechanics. On the other hand, many novel quantum phenomena emerge in the physics and material fields, where the microscopic description is the quantum many-body system.

Hence, applying the kinetic philosophy to study the many-body systems in the quantum field becomes pretty natural, and this Minisymposium aims at fostering the development of multiscale modeling, mathematical analysis, and numerical simulation about the interplay between kinetic theory and quantum dynamics.

• Organizer(s) : Kunlun Qi, Li Wang
• Speakers Info :
• Kunlun Qi (University of Minnesota)
• Bernt Wennberg (Chalmers University of Technology)
• Geshuo Wang (National University of Singapore)
• Ning Jiang (Wuhan University)
• Michael Hott (University of Minnesota)
• Yulong Zhou (Sun Yat-Sen University)

[01181] Variational methods for multi-scale dynamics

• Abstract : Many interesting evolutionary problems in nature can be described by variational principles like gradient flows or Hamiltonian dynamics. Recent results have shown that exploiting the variational structure of the evolution equation provides a fruitful research area combining applied analysis and stochastic modeling. For real-world multi-scale problems, focusing on the variational structure is particularly vital as it forms a physically motivated basis.

The aim of this two-part minisymposium is inspiring and bringing together researchers interested in calculus of variations, PDEs and stochastic analysis for starting collaborations. Focus is placed on interacting particle systems and discrete-to-continuous limit passages, e.g. by evolutionary Gamma-convergence.

• Organizer(s) : Yuan Gao, Matthias Liero, Artur Stephan
• Speakers Info :
• Yiwei Wang (University of California, Riverside)
• Jasper Hoeksema (Eindhoven University of Technology)
• Lorenzo Portinale (University of Bonn)
• Karel Svadlenka (Kyoto University)
• Artur Stephan (Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany)
• Wuchen Li (University of South Carolina)
• Chun Yin Lam (University of Münster)
• Upanshu Sharma (Freie Universität Berlin)

[01188] Recent Developments in Fluid Dynamics

• Abstract : Over the last years, substantial breakthroughs have arisen in mathematical fluid mechanics. For example, the smooth blowup of the incompressible, axisymmetric Euler equations via computer assisted proofs, or the smooth self-similar blowup solutions to compressible Euler and Navier-Stokes (the former being covered by Quanta as one of the highlights of 2022, and the latter meriting the 2023 Bôcher Prize). The aim of this session is to bring together a diverse group of well-known experts and young researchers to present new developments in partial differential equations describing the dynamics of fluids. With global existence vs singularity formation as main motivation, particular emphasis has been put into explaining the aforementioned breakthroughs and exploring new directions from them. Other key topics include corner and cusp solutions in fluids models, and stability results for kinetic equations.
• Organizer(s) : Bruno Vergara, Javier Gómez Serrano
• Speakers Info :
• Bruno Vergara (Brown University)
• Hao Jia (University of Minnesota)
• Benoit Pausader (Brown University)
• Klaus Widmayer (University of Zürich)
• Susanna Haziot (Brown University)
• Rafael Granero Belinchón (Universidad de Cantabria)
• Neel Patel (University of Maine)
• Jia Shi (Massachusetts Institute of Technology)
• Gonzalo Cao Labora (Massachusetts Institute of Technology)
• Jaemin Park (University of Basel)
• Jiajie Chen (New York University)
• Anxo Biasi (Ecole Normale Supérieure-International Centre for Fundamental Physics and its interfaces)

[01190] Recent Advances in Modeling Complex Systems and Multiscale Problems in Mathematical Biology

• Abstract : Advances in our understanding of complex problems in biology are aided by mathematical modeling. A common challenge in this effort is incorporating a wide range of temporal and spatial scales into a single model. This symposium will explore a variety of biological systems, such as microtubule polymerization and blood coagulation, and the diversity of methods used to examine them, such as dynamical systems theory and numerical methods. Our proposed speakers from the US and Canada represent various stages in academia and highlight the versatility of modeling as a tool to answer active biological questions.
• Organizer(s) : Anna Nelson, Keshav Patel
• Speakers Info :
• Keshav Patel (University of Utah)
• Anna Nelson (Duke University)
• Owen Lewis (University of New Mexico)
• Rayanne Luke (Johns Hopkins University)
• Katie Faulkner (University of British Columbia)

[01195] Hyperbolic one-dimensional systems in networks: mathematical modeling and numerical approximations

• Abstract : Gas flow in pipes, open channel flows, water distribution, traffic flow and blood flow are some modelling applications very often represented as hyperbolic one-dimensional systems in networks. Key modelling ingredients for these systems are the correct definition of boundary conditions at terminal network points, proper coupling conditions among one-dimensional domains and the coupling of one-dimensional domains to zero-dimensional models. Further complexity may be added: parameters varying in space and time, flow regimes varying from sub- to supercritical, diffusive and dispersive terms, etc. All these aspects result in challenging situations for numerical methods designed to discretise this type of models.
• Organizer(s) : Ernesto Pimentel-García, Lucas O. Müller
• Speakers Info :
• Javier Murillo (University of Zaragoza)
• Juan Mairal (University of Zaragoza)
• Nicola De Nitti (Friedrich-Alexander-Universität Erlangen-Nürnberg)
• Abraham Sylla (Universtià Milano Bicocca)
• Ernesto Pimentel-García (University of Málaga)

[01197] Numerical linear algebra in convex and nonconvex optimization

• Abstract : Convex optimization has been instrumental in significant progress across science and technology. Nonconvex optimization methods are an exciting area of active research driven by modern applications. The efficiency and effectiveness of most optimization algorithms hinge on the numerical linear algebra algorithms that they utilize. Furthermore, optimization applications have motivated fundamental advances in numerical linear algebra. This minisymposium aims to bring together experts in both optimization and numerical linear algebra to discuss new developments and leading challenges in both areas.
• Organizer(s) : Alexander Strang, Ming Gu
• Speakers Info :
• Michael Saunders (Stanford)
• Luyining Gan (University of Nevada Reno)
• Naoki Marumo (University of Tokyo)
• Jiawang Nie (University of California San Diego)
• Contact Person : Alexander Strang (University of Chicago)

[01199] Recent advances of scientific computing and applications

• Abstract : There has been tremendous growth in various areas of scientific computing in the recent years. This mini-symposium intends to introduce the recent advances of scientific computing and the related interesting applications. The goal is to attract attention to scientific computing and build potential future collaborations.
• Organizer(s) : Ying Wang
• Speakers Info :
• Ying Wang (University of Oklahoma)
• Alexander Grigo (University of Oklahoma)
• Benito Chen (University of Texas at Arlington)
• Allen Tesdall (City University of New York)

[01200] New Trends in Optimal Control and Their Applications

• Abstract : This proposal belongs to the area of optimal control for sweeping processes and their applications to optimization-related and control problems, as well as some practical models. By now, the sweeping process has been recognized as a class of nonsmooth dynamical systems involving normal cones to moving sets. The controlled sweeping processes have been studied with applications relating to the theory of plasticity, ferromagnetism, ferroelectricity, and elastoplasticity. Further developments also apply to various problems of hysteresis, phase transitions, modelling systems with contact, friction, and impacts. These systems frequently arise in applications such as mechanical systems, switched electrical circuits, and biological systems.
• Organizer(s) : Leonardo Colombo, Dao Nguyen
• Speakers Info :
• Nguyen-Truc-Dao Nguyen (University of Michigan, Ann Arbor)
• Leonardo Colombo (Centre for Automation and Robotics CSIC-UPM)
• Boris Mordukhovich (Wayne State University)
• Emilio Vilches (Universidad de O’Higgins)
• Cristopher Hermosilla (Universidad Técnica Federico Santa María)
• Norma Robinson (Grand Valley State University)
• Nathalie Khalil (University of Porto)
• Vera Zeidan (Michigan State University )

[01202] Analysis and modelling of human flows

• Abstract : People are moving from one location to another in their daily lives, for commuting, shopping, entertainment, schools, etc. This human flow provides vital information for location decision-making for commercial or public buildings, optimization of transportation systems, urban planning by policymakers, and measures for movement restrictions under a pandemic like COVID-19. This mini-symposium will discuss recent developments in the modeling and analysis of human mobility from an interdisciplinary perspective, including urban studies, spatial economics, network science, and applied mathematics.
• Organizer(s) : Takaaki Aoki and Naoya Fujiwara
• Speakers Info :
• Takaaki Aoki (kagawa university)
• Takeshi Uchitane (Aichi Institute of Technology)
• Daigo Umemoto (RIKEN)
• Naoya Fujiwara (Tohoku university)

[01211] Generalized and non-Gaussian Tensor Decompositions

• Abstract : Tensor decompositions are a foundational unsupervised machine learning method for data science, with applications across all of science and engineering. Traditionally, tensor decompositions seek low-rank tensors that best fit the data with respect to the least squares loss. However, other choices of loss function can be more appropriate for non-Gaussian data such as count data, binary data, and data with outliers. This minisymposium presents state-of-the-art advances in developing efficient algorithms and rigorous theory for tensor decompositions with respect to general losses.
• Organizer(s) : David Hong
• Speakers Info :
• David Hong (University of Pennsylvania)
• Anru Zhang (Duke University)
• ‪Lieven De Lathauwer (KU Leuven)
• Wenqiang Pu (Shenzhen Research Institute of Big Data)

[01218] Challenges in single-cell data science: theory and application

• Abstract : Single-cell data science aims to understand cells and their functions at individual cells and accelerate progress in the biomedical sciences via the analysis of single-cell omics data. The largest hurdle to this is the difficulty of extracting complex biological structures from millions of pieces of information across varied cell data. This mini-symposium focuses on theoretical studies of single-cell data analysis and its applications, in which biologists, applied mathematicians, and bioinformaticians working in single-cell data science worldwide will come together to discuss their research and the future development.
• Organizer(s) : Yusuke Imoto, Keita Iida, Kazumitsu Maehara
• Speakers Info :
• Geoffrey Schiebinger ( University of British Columbia)
• Jianhua Xing (University of Pittsburgh)
• Kenji Kamimoto (Washington University in St. Louis School of Medicine)
• Jifan Shi (Fudan University)
• Tomas Gedeon (Montana State University)
• Keita Iida (Osaka University)
• Yusuke Imoto (Kyoto University)
• Kazumitsu Maehara (Kyushu University)
• Teppei Shimamura (Nagoya University)
• Toshiaki Yachimura (Kyoto University)

[01221] FreeFEM software package for finite element modeling of PDEs

• Abstract : FreeFEM is a software package for finite element computation and has been developing at the Laboratory of Jacques-Louis Lions, Sorbonne University for 25 years. The main feature of FreeFEM is having a domain specific language based on C++ grammar, which is designed to describe variational formulation of the partial differential equations and discretized matrices by using numerical quadrature on triangle and tetrahedral elements. Now it is drastically enhanced to perform large scale three dimensional computation using domain decomposition methods by linking with tetrahedral mesh generators and parallel linear solvers. FreeFEM allows us to tackle a new mathematical modeling and solution by expressing nonlinear weak formulation with surface and domain integration and by direct manipulation of finite element matrices.This mini-symposium focuses on recent advancement of FreeFEM and application in mathematical modeling.
• Organizer(s) : Atsushi Suzuki, Takeshi Takaishi
• Speakers Info :
• Pierre Jolivet (LIP6, Sorbonne Uniersite, CNRS)
• Atsushi Suzuki (RIKEN Center for Computational Science, Cybermedia Center Osaka University)
• Hao Li (Deppartment of Mechanical Engineering and Science Kyoto University)
• Takeshi Takaishi (Department of Mathematical Engineering Musashino Univeristy)

[01229] Cauchy problem for Deterministic and Stochastic nonlinear dispaersive equations

• Abstract : We consider Cauchy problem for Deterministic and Stochastic nonlinear dispersive equations. For the Deterministic nonlinear Schrödinger equation (NLS), some global dynamics will be discussed, that is scattering, blowing up, growing up, or uniform bound for the solutions of NLS. For the Stochastic NLS, we will deal with nonlinear equation with a multiplicable noise. We also intoroduce and discuss paracontrolled calculus to prove local well-posedness of a renormalized version of the stochastic nonlinear wave equation.
• Organizer(s) : Shuji Machihara
• Speakers Info :
• Tadahiro Oh (The University of Edinburgh)
• Masahiro Ikeda (Riken)
• Masaru Hamano (Waseda university)
• Shunya Hashimoto (Saitama university)
• Contact Person : Shuji Machihara (Saitama university)