If you would like to download ICIAM 2023 Web locally, you may do so here. This file is located on Google Drive.
August 20, 2023 : TeleRobot
By utilizing special service, online participants can feel the energy of the venue and the passion of the presenters, even from a distance. And with the use of cutting-edge technology, you can enjoy an unprecedented participation experience. Please see here.
August 19, 2023 : SIAM Events
The organizers of ICIAM 2023 are pleased to inform about the SIAM Events on Aug.20 & Aug.21.
Aug. 20
17:00-18:15, SIAM Reception for Prize Winner @I (2F)
August 18, 2023 : Invitation to Zoom Event for those who register during the congress
Invitation to the Zoom Event for those who register during the congress will be made at 9:00, 12:00, 15:00, and 18:00 JST (UTC+9). Please be careful if you plan to register on the day of the congress. Please see here.
August 17, 2023 : Tokyo Intelligencer
The organizers of ICIAM 2023 are pleased to inform about Tokyo intelligencer. Please see here.
August 15, 2023 : Special Information Desks at Airports
The organizers of ICIAM 2023 are pleased to inform about the special information desks for ICIAM 2023 participants at Narita & Haneda airports. Please see here.
August 14, 2023 : Preparations for ICIAM 2023 are steadily underway
August 14, 2023 : Registration Desk
The organizers of ICIAM 2023 are pleased to inform about the registration desk. Please see here.
August 13, 2023 : Venue for Each Event
The organizers of ICIAM 2023 are pleased to inform about the venue for each event. For details, please see here.
The organizers of ICIAM 2023 are pleased to inform about the rooms of Minisymposia & Contributed Talks. Please see here.
August 3, 2023 : Final Program of Special Lectures
The organizers of ICIAM 2023 are pleased to inform about the final program of special lectures. Please see here.
July 12, 2023 : List of Accepted Posters
The organizers of ICIAM 2023 are pleased to inform the list of accepted posters. Please see here.
May 15, 2023 : Tentative Detailed Program
The organizers of ICIAM 2023 are pleased to inform about the tentative detailed program. Please see here.
May 15, 2023 : Shortening presentation time of talks in MS [Important]
Following a suggestion from the ICIAM Officers, the length of each talk in Minisymposium was changed to 25 minutes [20 minutes for a presentation & 5 minutes for questions]. Please see here.
(There will be no change in the length of the contributed talk.)
April 25, 2023 : Deadline extended for abstract submission of talks in MS
Due to multiple requests, the deadline for abstract submission for Talk in MS has been extended to May 20 (strict deadline).
The organizers of ICIAM 2023 are pleased to inform the submissions for the poster session are open.
If you are interested in submitting a poster, please see here.
December 27, 2022 : Tentative Program at a Glance
The organizers of ICIAM 2023 are pleased to inform about the tentative program at a glance. Please see here.
December 24, 2022 : Deadline of Submission of Abstracts of Talks in MS
The organizers of ICIAM 2023 are pleased to confirm the deadline for submission of a talk in minisymposium is April 20, 2023, this is the strict deadline. Please submit with plenty of time to spare. Please see here.
November 27, 2022 : Call for Posters
The organizers of ICIAM 2023 are pleased to inform the calls for posters. If you are interested in participating in a poster session, please see here.
November 27, 2022 : Financial Support
The organizers of ICIAM 2023 are pleased to inform about the financial support. Please see here.
November 27, 2022 : List of Accepted Minisymposia
The organizers of ICIAM 2023 are pleased to inform the list of accepted Minisymposia. Please see here.
September 10, 2022 : Information about Entering Japan
The organizers of ICIAM 2023 are pleased to inform about entering Japan. Please see here.
June 27, 2022 : Registration Fee
The organizers of ICIAM 2023 are pleased to inform about the registration fee of ICIAM 2023. Please see here.
August 20, 2021 : E-mail Notifications for ICIAM 2023 News
If you are interested in receiving e-mail notifications for ICIAM 2023 News, please see here.
All meetings of ICIAM 2023 will be held, in person, at Waseda University and the conference program will be arranged according to Japan Standard Time. Conference rooms are capable of handling hybrid-style meetings, and, under reasonable request, participants who require online access to conference meetings will be accommodated.
All such requests should be directed to the organizer of the corresponding Minisymposium. In the case of a Contributed Talk, the Program Committee will contact the author(s) after the talk has been accepted to ask about the format of the talk.
Waseda University is the largest research university in Japan. It is also one of the oldest universities, founded in 1882 by Shigenobu Okuma, who later became Prime Minister of Japan. The Okuma Auditorium was built in 1927 after his death in commemoration of his achievements. This auditorium is the symbol of Waseda University now. We plan to use 14 university buildings for ICIAM 2023. The buildings of Waseda University’s main campus are located close together, providing easy access from one building to another. A significant amount of signage and student volunteers will be used to assist the participants at the ICIAM venue.
The combination of these rooms and halls will enable us to hold at least 70 parallel sessions during the Congress, and all the facilities are designed to be barrier-free for guests with disabilities. Lunch is to be taken at restaurants around the congress venue, or at the cafeterias of Waseda Campus. Cafeterias will be able to cater to those with dietary restrictions and/or special needs.
Another attractive point of the venue is its convenient access from the metro system. The “Waseda” metro station is just a 5-minute walk from the Congress venue and the trains run every 5 minutes, from 5:00 am to midnight.
Accessibility is also good in Tokyo. Most of the metro and train stations are easily accessible for the disabled and most of them are equipped with either elevators or lifts. The “Waseda” metro station has both elevators and lifts. In addition, smart cards “Suica” and “Pasmo” can be used on almost all rail and bus lines in the Tokyo metropolitan area, and are accepted by a growing number of taxis. “Suica” IC cards are available for purchase at JR stations, while “Pasmo” cards are available at subway, private railway stations, and bus depots. You can also use these cards for shopping as electronic money at a constantly increasing number of registered shops.
The former president of Waseda University has kindly accepted our request for using, without a fee, any buildings with various modern conference equipment at the Waseda Campus. He hopes that this offer will assist the advancement of applied mathematics and industrial mathematics.
The Tokyo Metropolitan Government also has funds for supporting international congresses. The Faculty of Science and Engineering, Waseda University, where S. Oishi was the senior Dean, and the Tokyo Convention and Visitors Bureau of the Tokyo Metropolitan Government have signed a comprehensive partnership agreement. Based on this agreement, the Tokyo Metropolitan Government has already decided to provide financial support worth approximately US$300,000 for ICIAM 2023 on the condition that it be held at Waseda University with a certain number of foreign participants. Furthermore, support of complimentary cultural programs for 120 persons and half-day city tours for 800 persons will be offered.
* A : Building 22
* B : Building 18 (International Conference Center)
* C : Building 15
* D : Building 14
* E : Building 11
* F : Building 8
* G : Building 3
* H : Building 21 (Okuma Auditorium)
* I : Building 25 (Okuma Garden House)
* J : RIHGA Royal Hotel Tokyo
This page contains information on each session and each presentation. For more information about the meaning of the codes related to the date and time of the session, please click here.
The Olga Taussky-Todd Lecture is given at the Okuma Auditorium (Bldg. H on the MAP), after the Opening Celemony with the same place.
Aug. 21 (Mon.): 11:35 – 12:20 The Olga Taussky-Todd Lecture [Online] (Chair: Siegfried M. Rump) IIse C.F. Ipsen, North Carolina State University, USA An Introduction to Randomized Matrix Computations
ICIAM Prize Lectures
All ICIAM Prize Lectures are given in Room D201 with Live-streaming Rooms D101 / D102. To find Bldg. D, see the MAP.
Aug. 22 (Tue.): 10:40 – 11:25 ICIAM Maxwell Prize Lecture [On-site] (Chair: Gang Bao) Weinan E, AI for Science Institute, Beijing / Peking University, China AI for Science
Aug. 22 (Tue.): 11:35 – 12:20 ICIAM Collatz Prize Lecture [Online] (Chair: Kim-Chuan Toh) Maria Colombo, École polytechnique fédérale de Lausanne, Switzerland Anomalous Dissipation in Fluid Dynamics
Aug. 23 (Wed.): 11:35 – 12:20 ICIAM Industry Prize Lecture [On-site] (Chair: Volker Mehrmann) Cleve B. Moler, The MathWorks, USA Exploring Matrices
Aug. 24 (Thr.): 10:40 – 11:25 ICIAM Lagrange Prize Lecture [On-site] (Chair: Leah Edelstein-Keshet) Alfio Quarteroni, Polytechnic University of Milan, Italy The Pulse of Math
Aug. 24 (Thr.): 11:35 – 12:20 ICIAM Su Buchin Prize Lecture [On-site] (Chair: Tanniemola B. Liverpool) Jose Mario Martinez Perez, Brazilian Academy of Sciences, Brazil Sequential Model Simplifications and Applications
Alicia Dickenstein, University of Buenos Aires, Argentina Algebraic Geometry and Systems Biology Room: B101, Talk Format: On-site, Chair: Douglas N. Arnold
Mouhamed Moustapha Fall, African Institute for Mathematical Sciences in Senegal, Senegal On Some Overdetermined Boundary Value Problems Room: B101, Talk Format: Online, Chair: Rachel Ward
IIse C.F. Ipsen, North Carolina State University, USA An Introduction to Randomized Matrix Computations Abstract: We present a `user-friendly’ introduction to randomized matrix algorithms, with several case studies that focus on the ideas and intuition behind randomization.
The concerted development of randomized matrix algorithms started in the theoretical Computer Science community in the nineteen-nineties. At first a purely theoretical enterprise, these algorithms have become practical to the point that they are being used by domain scientists; and general purpose software libraries, such as RandBLAS and RandLAPACK, are under development.
Many randomized matrix algorithms reduce the problem dimension by replacing the original matrix with a lower-dimensional ‘sketch’. We illustrate this on the basic problem of matrix multiplication, and on the solution of least squares/regression problems. Along the way, we discuss sampling modalities (data-aware, oblivious), developments in high-dimensional probability (matrix concentration inequalities, matrix coherence), numerical issues (problem conditioning), and the analysis of the error due to randomization.
This talk draws on work with current and former students Jocelyn Chi, John Holodnak, Arnel Smith, and Thomas Wentworth.
ICIAM Maxwell Prize Lecture
Weinan E, AI for Science Institute, Beijing / Peking University, China AI for Science Abstract: For many years, the lack of good algorithms has severely limited our ability to conduct scientific research. At its heart, the difficulty comes from the notorious “curse of dimensionality” problem. Deep learning is exactly the kind of tool needed to address this problem. In the last few years, we have seen a tremendous amount of scientific progress made as a result of the AI revolution, both in our ability to make use of the fundamental principles of physics, and our ability to make use of experimental data.
In this talk, I will start with the origin of the AI for Science revolution, review some of the major progresses made so far, and discuss how it will impact the way we do scientific research. I will also discuss how AI for Science might impact applied mathematics.
ICIAM Collatz Prize Lecture
Maria Colombo, École polytechnique fédérale de Lausanne, Switzerland Anomalous Dissipation in Fluid Dynamics Abstract: Kolmogorov’s K41 theory of turbulence advances quantitative predictions on anomalous dissipation in incompressible fluids. This phenomenon can be described as follows: although smooth solutions of the Euler equations conserve the kinetic energy, in turbulent fluids the energy can be transferred to high frequencies and anomalously dissipated. Hence turbulent solutions of the Navier-Stokes equations are expected to converge, in the vanishing viscosity limit, to irregular solutions of the Euler equations, with decreasing kinetic energy.
In rigorous analytical terms, however, this phenomenon is little understood. In this talk, I will present the recent developments on this topic and focus on a joint work with G. Crippa and M. Sorella which considers the case of passive-scalar advection, where anomalous dissipation is predicted by the Obukhov-Corrsin theory of scalar turbulence. I will discuss the construction of a velocity field and a passive scalar exhibiting anomalous dissipation in the supercritical Obukhov-Corrsin regularity regime. The techniques developed in this context allow also to answer the question of (lack of) selection for passive-scalar advection under vanishing diffusivity. Finally, I will present a joint work with E. Brue’, G. Crippa, C. De Lellis, and M. Sorella, where we use the previous construction to give example of anomalous dissipation for the forced Navier-Stokes equations in the supercritical Onsager regularity regime.
ICIAM Pioneer Prize Lecture
Leslie Greengard, New York University, USA Adaptive, Multilevel, Fourier-based Fast Transforms Abstract: The last few decades have seen the development of a variety of fast algorithms for computing convolutional transforms – that is, evaluating the fields induced by a collection of sources at a collection of targets, with an interaction specified by some radial function (such as the 1/r kernel of gravitation or electrostatics).
The earliest such scheme was Ewald summation, which relies on Fourier analysis for its performance and is best suited for uniform distributions of sources and targets. To overcome this limitation, approximation-theory based algorithms emerged, which organized the sources and targets on an adaptive tree data structure. By carefully separating source and target clusters at each length scale in the spatial hierarchy, linear scaling methods were developed to compute all pairwise interactions in linear time, more or less independent of the statistics of the distribution of points. (The fast multipole method is one such scheme.)
In this talk, we introduce a new class of methods for computing fast transforms that can be applied to a broad class of kernels, from the Green’s functions for constant coefficient partial differential equations to power functions and radial basis functions such as those used in statistics and machine learning. The DMK (dual-space multilevel kernel-splitting) framework combines features from fast multipole methods, Ewald summation, multilevel summation methods and asymptotic analysis to achieve speeds comparable to the FFT in work per gridpoint, even in a fully adaptive context.We will discuss both the algorithm and some of its applications to physical modeling in complex geometry. This is joint work with Shidong Jiang.
ICIAM Industry Prize Lecture
Cleve B. Moler, The MathWorks, USA Exploring Matrices Abstract: An evolving collection of short videos and interactive MATLAB software that supplements courses in linear algebra and computational science. Topics include rotation matrices, Rubik’s cubes, computer graphics, Simulink models of vehicle dynamics, and AI for facial recognition of gorillas.
ICIAM Lagrange Prize Lecture
Alfio Quarteroni, Polytechnic University of Milan, Italy The Pulse of Math Abstract: Computational medicine represents a formidable generator of mathematical problems and numerical methods that enable a deeper understanding of human physiology and provide crucial support to physicians for more accurate diagnoses, optimized therapies, and patient-specific surgical interventions.
The inherent difficulties associated with the multiphysics and multiscale nature of the problems at hand, data uncertainty, inter- and intra-patient variability, and the curse of dimensionality, can be overcome thanks to the development of accurate, physics-based models empowered with data-driven artificial intelligence algorithms.
In this presentation, we will show how the iHEART simulator, an integrated model of the human heart function, enables us to achieve these objectives for the first time, and discuss its future developments.
ICIAM Su Buchin Prize Lecture
Jose Mario Martinez Perez, Brazilian Academy of Sciences, Brazil Sequential Model Simplifications and Applications Abstract: We discuss the process of simplification or “complexification” of problems. We present a model algorithm that simplifies or complicate problems based on rational criteria. The algorithm is inspired in the scheme of inexact restoration of introduced originally for solving constrained optimization problems. We present the mathematical characteristics of the algorithm in terms of convergence and complexity. Examples will be given concerning the prediction of river flows.
ICIAM Invited Lectures
Albert Cohen, Sorbonne Université, France From Linear to Nonlinear Reduced Modeling : Theory and Algorithms Abstract: Reduced modeling techniques are of important use for tackling forward simulation and inverse problems, in the context of parametrized PDE’s. We shall first review concepts and algorithms that are relevant to linear reduced modeling : Kolmogorov width and reduced bases, proper orthogonal decompositions… We shall then discuss various strategies that aim at developing similar tools for nonlinear reduced modeling which appears to be beneficial in various applications.
Yasuaki Hiraoka, Kyoto University, Japan Persistent Homology from Viewpoints of Representation, Probability, and Application Abstract: Topological data analysis (TDA) is an emerging concept in applied mathematics, by which we can characterize shapes of massive and complex data using topological methods. In particular, the persistent homology and persistence diagrams are nowadays applied to a wide variety of scientific and engineering problems. In this talk, I will survey our recent research on persistent homology from three interrelated perspectives; quiver representation theory, random topology, and applications on materials science. First, on the subject of quiver representation theory, I will talk about our recent challenges to develop a theory of multiparameter persistent homology on commutative ladders. By applying interval decompositions/approximations on multiparameter persistent homology (Asashiba et al, 2022) to our setting, I will introduce a new concept called connected persistence diagrams, which properly possess information of multiparameter persistence, and show some properties of connected persistence diagrams. Next, about random topology, I will show our recent results on limit theorems (law of large numbers, central limit theorem, and large deviation principles) of persistent Betti numbers and persistence diagrams defined on several stochastic models such as random cubical sets and random point processes in a Euclidean space. Furthermore, I will also explain a preliminary work on how random topology can contribute to understand the decomposition of multiparameter persistent homology discussed in the first part. Finally, about applications, I will explain our recent activity on materials TDA project. By applying several new mathematical tools introduced above, we can explicitly characterize significant geometric and topological hierarchical features embedded in the materials (glass, granular systems, iron ore sinters etc), which are practically important for controlling materials functions.
Rachel Ward, The University of Texas at Austin, USA Stochastic Gradient Descent: Understanding Adaptive Step-sizes, Momentum, and Random Initialization Abstract: Stochastic gradient descent (SGD) is the foundational algorithm used in machine learning optimization, but several algorithmic modifications to the basic SGD algorithm are often needed to make it “work” on high-dimensional non-convex problems. Three of the crucial modifications are: adaptive step-size updates, momentum, and careful random initialization of the parameters. This talk will discuss recent theoretical insights towards understanding why adaptivity, momentum, and careful random initialization are so powerful in practice. In particular, the theory unveils a novel but simple initialization method for gradient descent on matrix- and tensor-factorization problems; with this initialization, we prove that gradient descent discovers optimal low-rank matrix and tensor factorizations in a small number of steps.
Gary Froyland, The University of New South Wales, Australia Spectral Approaches to Complex Dynamics Abstract: The weather and the climate, along with social processes, biological processes, and engineering processes, are all dynamical systems because they are governed by a set of micro-rules at the level of individual states that describe how processes evolve over time. Complex dynamical systems incorporate elements of unpredictability (nearby initial states quickly diverge from one another) and emergence (macroscopic system behaviour is not apparent from the set of micro-rules due to many interacting components).
Emergent behaviour in complex dynamical systems is typically connected with the appearance of macro-structures that persist for a certain amount of time. Examples of such macro-structures include eddies in the ocean, cyclonic storms or heatwaves in the atmosphere, and the coalescing of societal opinion around a particular issue. It is these macro-phenomena that impact our daily world, but it remains challenging to identify key organising emergent phenomena from micro-rules or spatiotemporal observations. Part of the difficulty arises from the usually complicated nonlinear dynamics of the micro-rules. To access these macro-phenomena, we use a linear operator induced by the micro-dynamics. This linear operator – the transfer operator – acts on ensembles of individual states, and its linearity enables one to access a huge toolbox from linear analysis.
In this talk, we gently introduce the transfer operator and its associated spectral theory. We also make connections to a dynamic spectral geometry of evolving manifolds, centred on the dynamic Laplace operator. Several example analyses are presented, ranging across problems in climate, physical oceanography, and atmospheric science.
Satoru Iwata, University of Tokyo / Hokkaido University, Japan Mathematical Approaches Towards Design and Discovery of Chemical Reactions Abstract: Recent developments in computational quantum chemistry enable us to explore the potential energy surface and extract chemical reaction networks. These methods are highly relevant to continuous optimization. To utilize this advancement for design and discover of chemical reactions, one naturally requires methods in discrete optimization and machine learning.
Given a configuration of atoms, one can determine the energy of the ground state via quantum chemistry calculation. This function, called the potential energy surface (PES), provides rich information on the structure of molecules. A local minimum of the PES corresponds to an equilibrium state, while a saddle point corresponds to a transition state. An elementary process of a chemical reaction can be understood as a move from one equilibrium state to another one via a transition state. Chemical reactions are often realized as a sequence of such moves, namely as a path in a network that consists of equilibrium states as vertices and transition states as edges. Such a network is called a chemical reaction network.
It is highly nontrivial, however, to extract the chemical reaction network unless the target system is very small. Ohno and Maeda (2004) developed a systematics method, called the ADDF (anharmonic downward distortion following) method, to explore the potential energy surface from one equilibrium state to a transition state. Subsequently, Maeda and Morokuma (2011) devised a different algorithm called the AFIR (artificial force inducing reaction) method based on the technique of incurring artificial force that pushes certain part of the system to a certain direction. The AFIR method is applicable to various situations including a reaction of type A + B → X.
These two methods have enabled us to extract chemical reaction networks. To utilize these methods for design and discovery of chemical reactions, however, there are still several issues to be resolved.
One example is how to select diverse molecules from unexplored areas of chemical space. We have so far developed a new approach for selecting a subset of diverse molecules from a given molecular list by combining two existing techniques in machine learning and discrete optimization: graph neural networks (GNNs) for learning vector representation of molecules and a diverse-selection framework by submodular function maximization.
Another issue is how to predict the yield of the target product from the chemical reaction network. This can be done by analyzing the kinetics of reactions that are modeled with large-scale highly stiff master equations, which is hard to solve numerically. A heuristic approach called the rate constant matrix contraction (RCMC) method has been developed. We will discuss theoretical property and efficient implementation of this method, which turns out to have a close relation to the greedy algorithm for submodular function maximization.
This talk is based on a current research project in collaboration with Satoshi Maeda of Hokkaido University supported by JST ERATO.
Gitta Kutyniok, LMU Munich, Germany The Mathematics of Reliable AI Abstract: The new wave of artificial intelligence is impacting industry, public life, and the sciences in an unprecedented manner. In industrial and applied mathematics, it has by now already led to paradigm changes in several areas. However, one current major drawback is the lack of reliability.
The goal of this lecture is to first provide an introduction into this new vibrant research area. We will then survey recent advances, in particular, concerning performance guarantees and explainability methods for artificial intelligence, which are key to ensure reliability. Finally, we will discuss fundamental limitations in terms of computability, which seriously affect diverse aspects of reliability, and reveal a surprising connection to novel computing approaches such as neuromorphic computing and quantum computing.
Ichiro Hagiwara, Meiji University, Japan A Consideration of Scientific – Technical Aspects and Artistic Aspect of Origami Engineering – Aiming to Create a New Big Industry and a New Fan Culture Abstract: Interests in current science and technology span both micro and macro extremes with remarkable progress in measurement technology. Because there are no manufacturing equipments for huge or microstructures, the structures themselves must double as manufacturing devices. Therefore, foldable and deployable origamble paper. It is inevitable that origami is born and nurtured in Japan. Thanks to Japi structures become more and more important. Washi is virtually the world’s first foldaan’s isolation during the Edo period and a peaceful and prosperous era, arts such as haiku, kabuki, and Noh peculiar to Japan were nurtured. Origami which is oe onf these arts has long been a precious art and was not considered to be a target for money. But British engineers developed a mass production method for honeycombs, inspired by Japanese Tanabata decorations which developed into a trillion yen industry. This fact inspired us to start origami engineering in 2003. Dr. Nojima brought in traditional Japanese paper cutting “Kirigami” and created the concept of curved honeycombs in 2002 which cannot be made using the existing British manufacturing method. Kirigami has also become an international language like origami and is now a significant field of origami engineering because kirigami honeycomb is more useful than origami structure for the above mentioned macro and micro structures. And now, let me show you a more advanced honeycomb. It has been challenging to build arbitrary shapes with a single connection. Still, through our research, we have successfully built an arbitrary shape structure with a single honeycomb and with a robot Moreover the cubic core developed by us from the origsmi-core because it is superior to the honeycomb core which has become a multi-trillion dollar industry owing to its maximum bending stiffness per weight. By the way, in addition to the above scientific and technical aspects, origami engineering has also an artistic aspect. I will touch on art of fan which is positioned as a bellows fold with bamboo bones inserted into the paper. Fan is a fusion of art and function which is the starting point of Japanese manufacturing and it was born in Japan over 1200 years ago. It is not well known that fan was elevated as a three-dimensional art unlike any other in the world thorough the hard work of great artists, such as Hokusai Katsushika and Sodatsu Tawaraya et al. in the Edo period because many fans have been reshaped as flat paintings, with the bones pulled out and edges cut off to remove time-related deterioration. Fan was originally aimed at storytelling because it can show the intersection of viewpoints and the direction in which the characters move using the crease. But it was difficult because the picture on the fan face appears different from the original flat painting, owing to the effects of folding and distortion depending on the fan shape. Here, the mathematical method is developed so that we can attempt to develop a new art that links Fan with Haiku and Waka by combining the mathematics and image processing technology.
Tamara Kolda, MathSci.ai, USA Randomized Algorithms for Tensor Decomposition Abstract: Tensors are ubiquitous in modern-day computational and data sciences. Tensor decomposition is a technique for breaking down a tensor into simpler components, akin to matrix factorization. Applications of tensor decomposition are ubiquitous in machine learning, signal processing, chemometrics, neuroscience, quantum computing, financial analysis, social science, business market analysis, image processing, and much more. Tensors are growing ever larger, motivating a need for robust and efficient computational methods that can handle massive tensor datasets. We discuss several examples of randomized algorithms for tensor decomposition. Tensor decomposition problems have special sructure that yields majors advantages in the application of randomization. We consider random methods such as randomized range finder for Tucker decomposition, matrix sketching using leverage scores for canonical polyadic (CP) decomposition, and biased sampling for stochastic gradient descent for generalized CP (GCP). We illustrate the effectiveness of randomized algorithms for tensor decomposition using real-world datasets.
Youssef Marzouk, MIT, USA On Low-dimensional Structure in Transport and Inference Abstract: Transportation of measure underlies many powerful tools for Bayesian inference, density estimation, and generative modeling. The central idea is to deterministically couple a probability measure of interest with a tractable “reference” measure (e.g., a standard Gaussian). Such couplings are induced by transport maps, and enable direct simulation from the desired measure simply by evaluating the transport map at samples from the reference.
While an enormous variety of representations and constructive algorithms for transport maps have been proposed in recent years, it is inevitably advantageous to exploit the potential for low-dimensional structure in the associated probability measures. I will discuss two such notions of low-dimensional structure, and their interplay with transport-driven methods for sampling and inference. The first seeks to approximate a high-dimensional target measure as a low-dimensional update of a dominating reference measure. The second is low-rank conditional structure, where the goal is to replace conditioning variables with low-dimensional projections or summaries. In both cases, under appropriate assumptions on the reference or target measures, one can derive gradient-based upper bounds on the associated approximation error and minimize these bounds to identify good subspaces for approximation. The associated subspaces then dictate specific structural ansatzes for transport maps that represent the target of interest.
I will showcase several algorithmic instantiations of this idea, focusing on Bayesian inverse problems, data assimilation, and simulation-based inference.
Alicia Dickenstein, University of Buenos Aires, Argentina Algebraic Geometry and Systems Biology Abstract: In recent years, methods and concepts from algebraic geometry, particularly those from computational and real algebraic geometry, have been used in many applied domains. I will review applications to molecular biology, which aim to analyze standard models in systems biology to predict dynamic behavior across parameter space without the need for simulations. These applications have also given rise to new challenges in the field of real algebraic geometry.
Lior Horesh, IBM Research, USA Should we Derive or Let the Data Drive ? Symbiotizing Data-driven Learning and Knowledge-based Reasoning to Accelerate Symbolic Discovery Abstract: The abstraction of the behavior of a system or a phenomenon into a consistent mathematical model is instrumental for a variety of applications in science and engineering. In the context of scientific discovery, a fundamental problem is to explain natural phenomena in a manner consistent with both (noisy) experimental data, and a body of (possibly inexact and incomplete) background knowledge about the laws of the universe.
Historically, models were manually derived in a first-principles deductive fashion. The first-principles approach often offers the derivation of interpretable symbolic models of remarkable levels of universality while being substantiated by little data. Nonetheless, derivation of such models is time-consuming and relies heavily upon domain expertise. Conversely, with the rising pervasiveness of statistical AI and data-driven approaches, automated, rapid construction and deployment of models has become a reality. Many data-driven modeling techniques demonstrate remarkable scalability due to their reliance upon predetermined, exploitable model form (functional form) structures. Such structures, entail non-interpretable models, demand Big Data for training, and provide limited predictive power for out-of-set instances.
In this talk, we will review some of the recent transformations in the field, and the ongoing attempts to bridge the divide between statistical AI and symbolic AI. We will begin by discussing algorithms that can search for free-form symbolic models, where neither the structure nor the set of operator primitives is predetermined. We will proceed in reviewing innovations in the field of automated theorem proving (ATP) machinery, and discuss how ATPs can be harnessed to certify whether a candidate hypothesis model is conforming with background theory. Lastly, we shall discuss efforts to consistently unify the two approaches.
These endeavors will promote the conceptualization of AI algorithms capable of making the discovery of principled, universal, and meaningful symbolic models, using small data and incomplete background theory. With some optimism, some of these discoveries, can unveil to us the secrets of the universe.
Kavita Ramanan, Brown University, USA Characterizing Rare Events in Interacting Particle Systems Abstract: Interacting particle systems consist of collections of stochastically evolving particles indexed by the vertices of a graph, where each particle’s state depends directly only on the states of neighboring vertices in the graph. Such systems model a wide range of physical phenomena including magnetism, the spread of diseases and information, neuronal spiking and opinion dynamics. Of crucial interest in these systems is the study of rare events, or large deviations from typical behavior. While classical work has focused on the case when the underlying graph is dense, where mean-field theory is applicable, most real-world networks are sparse. We survey what is rigorously known about large deviations behavior in such systems, with a focus on recent progress in the setting of (uniformly) sparse graphs.
Michele Benzi, Scuola Normale Superiore, Italy Matrix Functions and the Analysis of Complex Networks Abstract: In this talk I will review the recent use of functions of matrices in the analysis of graphs and networks, with special focus on centrality and communicability measures and diffusion processes, both local and nonlocal. These techniques are being applied in a variety of applications, ranging from social network analysis to chemical physics and the neurosciences.
Methods for both undirected and directed networks will be surveyed, as well as dynamic (temporal) networks. Computational issues will also be addressed.
Cynthia Dwork, Harvard University, USA Measuring Our Chances: Risk Prediction in This World and its Betters Abstract: Prediction algorithms score individuals, assigning a number between zero and one that is often interpreted as an individual probability: a 0.7 “chance” that this child is in danger in the home; an 80% “probability” that this woman will succeed if hired; a 1/3 “likelihood” that they will graduate within 4 years of admission. But what do words like “chance,” “probability,” and “likelihood” actually mean for a non-repeatable activity like going to college? This is a deep and unresolved problem in the philosophy of probability. Without a compelling mathematical definition we cannot specify what an (imagined) perfect risk prediction algorithm should produce, nor even how an existing algorithm should be evaluated. Undaunted, AI and machine learned algorithms churn these numbers out in droves, sometimes with life-altering consequences.
An explosion of recent research deploys insights from the theory of pseudo-randomness – objects that “look random” but in fact have structure – to yield a tantalizing answer to the evaluation problem, together with a supporting algorithmic framework with roots in the theory of algorithmic fairness.
We can aim even higher. Both (1) our qualifications, health, and skills, which form the inputs to a prediction algorithm, and (2) our chances of future success, which are the desired outputs from the ideal risk prediction algorithm, are products of our interactions with the real world. But the real world is systematically inequitable. How, and when, can we hope to approximate probabilities not in this world, but in a better world, one for which, unfortunately, we have no data at all? Surprisingly, this novel question is inextricably bound with the very existence of nondeterminism.
Andrew M. Stuart, Caltech, USA The Ensemble Kalman Filter Abstract: Ensemble Kalman filters constitute a methodology for incorporating noisy data into complex dynamical models to enhance predictive capability. They are widely adopted in the geophysical sciences, underpinning weather forecasting for example, and are starting to be used throughout the sciences and engineering; furthermore, they have been adapted to function as a general-purpose tool for parametric inference. The strength of these methods stems from their ability to operate using complex models as a black box, together with their natural adaptation to high performance computers. This talk describes recent theoretical advances which elucidate, for the first time, conditions under which this widely adopted methodology provides accurate model predictions and uncertainties.
The analysis is developed for the mean field limit of the ensemble Kalman filter. The filter is rewritten in terms of maps on probability measures. These maps are shown to be locally Lipschitz in an appropriate weighted total variation metric. Using these stability estimates it may be shown that, if the true filtering distribution is close to Gaussian after appropriate lifting to the joint space of state and data, then it is well approximated by the ensemble Kalman filter.
Martin Burger, DESY / University of Hamburg, Germany The Mathematics of Image Reconstruction: the Dialectic of Modelling and Learning Abstract: In this talk we will discuss some current and future challenges in high-dimensional image reconstruction, which is based on the solution of large-scale inverse problems involving various uncertainties. While classical methods were purely based on physical models for forward operators and regularizations, modern machine learning techniques create the antithesis of data-driven approaches. We will discuss some pitfalls that machine learning can encounter in inverse problems and discuss opportunities for the synthesis of model- and data-driven approaches.
Ingrid Daubechies, Duke University, USA Old-fashioned Machine Learning: Using Diffusion Methods to Learn Underlying Structure Abstract: Many datasets consist of complex items that can be reasonably surmised to lie on a manifold of much lower dimension than the number of parameters or coordinates with which the individual items are acquired. Manifold diffusion is an established method, used successfully to parametrize such datasets much more succinctly. The talk describes an enhancement of this method: when each individual item is itself a complex object, as is the case in many applications, one can model the collection as a fiber bundle, and build a fiber bundle diffusion operator from which one can gradually learn properties of the underlying base manifold. This will be illustrated with applications to morphological evolutionary studies in biology.
Xiaoyun Wang, Tsinghua University, China Lattice-based Cryptography: From Theory to Practice Abstract: Although most of current public key cryptosystems are vulnerable to attacks of the imaginary quantum computers. the post-quantum cryptography（PQC）which resists on the quantum computing has made the surprising progress in the past 30 years. Among of the post-quantum cryptographic families, the lattice-based cryptography is popularly regarded as an economic and secure solution, its security relies on the hardness of computational mathematical problems in lattice theory with high-dimension. In this talk, I will recap the mathematical background of lattice-based cryptography. Then I will introduce the recent progress on the practical designs of lattice-based cryptosystems, and also have a fast look at an amazing area which is called fully homomorphic encryption (FHE) which has interesting applications of the privacy computing and federal learning etc.
Francis Bach, Inria – Ecole Normale Supérieure, France Sums of Squares: from Algebra to Analysis Abstract: The representation of non-negative functions as sums of squares has become an important tool in many modeling and optimization tasks. Traditionally applied to polynomial functions, it requires rich tools from algebraic geometry that led to many developments in the last twenty years. In this lecture, I will look at this problem from a functional analysis point of view, leading to new applications and new results on the performance of sum-of-squares optimization.
Monique Laurent, Centrum Wiskunde & Informatica (CWI) Amsterdam / Tilburg University, The Netherlands Performance Analysis of Sums of Squares Approximations in Polynomial Optimization Abstract: Polynomial optimization is a recent field, which emerged in the last two decades, starting with pioneering works, in particular, by J.-B. Lasserre and P. Parrilo. It deals with optimization problems involving polynomial objective and constraints. These are computationally hard problems, in general nonlinear and nonconvex, ubiquitous in diverse fields and application areas such as discrete optimization, operations research, discrete geometry, theoretical computer science, and control theory. The key idea is to exploit algebraic and geometric properties of polynomials and develop dedicated solution methods that are based, on the one hand, on real algebraic results about positive polynomials, and, on the other hand, on functional analytic results about moments of positive measures. These techniques permit to design hierarchies of convex relaxations – known as sums of squares hierarchies – that give bounds on the global optimum of the original problem. The underlying computational paradigm is semidefinite optimization, which permits to model sums of squares of polynomials (used as a proxy to certify polynomial positivity).
A crucial feature is that, under some mild compactness assumption, these hierarchies converge asymptotically to the global optimum. A natural question is to understand how the quality of the bounds depends on the level of the relaxation, which is governed by the maximum degree of the sums of squares it involves.
In this lecture we will discuss these hierarchies, with a special focus on the above question regarding their quantitative analysis. We will present recent state-of-the-art results for polynomial optimization over various classes of semi-algebraic sets and the main techniques used to obtain these results, which include Fourier analysis, reproducing kernels, and extremal roots of orthogonal polynomials.
Endre Süli, University of Oxford, United Kingdom Kinetic Models of Dilute Polymeric Fluids: Analysis and Approximation Abstract: Since the pioneering contributions of Werner Kuhn, Hans Kramers and other scientists working at the interface of polymer chemistry and statistical physics during the first half of the twentieth century, kinetic models have been widely and successfully used to describe the motion of polymeric fluids.
The aim of this talk is to review recent results concerning the mathematical analysis of these models. We focus in particular on questions of existence of large-data global weak solutions to kinetic models of dilute polymeric fluids — a system of nonlinear partial differential equations involving the compressible or incompressible Navier–Stokes equations, modelling the evolution of the velocity field and the pressure, coupled to a Fokker–Planck equation satisfied by the probability density function for the random configuration vectors associated with the directions of the backbones of noninteracting polymer molecules suspended in a Newtonian fluid. We shall also discuss the convergence analysis of finite element methods for the numerical solution of this coupled system of partial differential equations and will highlight some nontrivial open problems.
Mourad Bellassoued, University of Tunis El Manar, Tunisia Recovery of a Metric Tensor from the Partial Hyperbolic Dirichlet to Neumann Map Abstract: In this talk we consider the inverse problem of determining on a compact Riemannian manifold the metric tensor in the wave equation with Dirichlet data from measured Neumann sub-boundary observations. This information is enclosed in the dynamical partial Dirichlet-to-Neumann map associated to the wave equation. We prove in dimension n ≥ 2 that the knowledge of the partial Dirichlet-to-Neumann map for the wave equation uniquely determines the metric tensor and we establish logarithm-type stability.
Antonin Chambolle, CEREMADE, CNRS / Université Paris-Dauphine, PSL University, France Recent Progress in the Variational Approach to Fracture Abstract: The talk will introduce the variational approach to fracture, proposed by Francfort and Marigo in the late nineties as a natural extension to Griffith’s classical theory, with the ability to predict crack paths in brittle materials (with some numerical success). This theory is based on the global minimization of a linearized elasticity energy and a dissipation term proportional to the surface of a new crack. A continuous limit of successive minimizations is expected to result in an evolving crack which generalizes in a natural way the classical theory from the 1920s. However, this approach raises huge difficulties, such as, simply, how to define an energy space for such a variational problem, or the existence of minimizers. The talk will focus on some of the main mathematical tools developed to tackle this problem in the past ten years, and will describe a few recent results (and some open questions). Based on joint works with Filippo Cagnetti, Sergio Conti, Vito Crismale, Gilles Francfort, Flaviana Iurlano, Lucia Scardia, and the development of many others.
Pascal Van Hentenryck, Georgia Institute of Technology, USA The Fusion of Machine Learning and Optimization Abstract: The fusion of machine learning and optimization has the potential to achieve breakthroughs in decision making that the two technologies cannot accomplish independently. This talk reviews a number of research avenues in this direction, including the concept of optimization proxies and end-to-end learning. Principled combinations of machine learning and optimization are illustrated on case studies in energy systems, mobility, and supply chains. Preliminary results show how this fusion makes it possible to perform real-time risk assessment in energy systems, find near-optimal solutions quickly in supply chains, and implement model-predictive control for large-scale mobility systems.
José A. Carrillo, University of Oxford, United Kingdom Aggregation-Diffusion Equations for Collective Behaviour in the Sciences Abstract: Many phenomena in the life sciences, ranging from the microscopic to macroscopic level, exhibit surprisingly similar structures. Behaviour at the microscopic level, including ion channel transport, chemotaxis, and angiogenesis, and behaviour at the macroscopic level, including herding of animal populations, motion of human crowds, and bacteria orientation, are both largely driven by long-range attractive forces, due to electrical, chemical or social interactions, and short-range repulsion, due to dissipation or finite size effects.
Various modelling approaches at the agent-based level, from cellular automata to Brownian particles, have been used to describe these phenomena. An alternative way to pass from microscopic models to continuum descriptions requires the analysis of the mean-field limit, as the number of agents becomes large. All these approaches lead to a continuum kinematic equation for the evolution of the density of individuals known as the aggregation-diffusion equation. This equation models the evolution of the density of individuals of a population, that move driven by the balances of forces: on one hand, the diffusive term models diffusion of the population, where individuals escape high concentration of individuals, and on the other hand, the aggregation forces due to the drifts modelling attraction/repulsion at a distance.
The aggregation-diffusion equation can also be understood as the steepest-descent curve (gradient flow) of free energies coming from statistical physics. Significant effort has been devoted to the subtle mechanism of balance between aggregation and diffusion. In some extreme cases, the minimisation of the free energy leads to partial concentration of the mass.
Aggregation-diffusion equations are present in a wealth of applications across science and engineering. Of particular relevance is mathematical biology, with an emphasis on cell population models. The aggregation terms, either in scalar or in system form, is often used to model the motion of cells as they concentrate or separate from a target or interact through chemical cues. The diffusion effects described above are consistent with population pressure effects, whereby groups of cells naturally spread away from areas of high concentration.
This talk will give an overview of the state of the art in the understanding of aggregation-diffusion equations, and their applications in mathematical biology.
Mouhamed Moustapha Fall, African Institute for Mathematical Sciences in Senegal, Senegal On Some Overdetermined Boundary Value Problems Abstract: Second order elliptic equations on a domain in which both Dirichlet and Neumann conditions are prescribed at the boundary of the domains constitute a class of overdetermined problems. To deal with these problems, we are led to find two unknowns: solution and the domain. They appear in many physical questions such as fluid and solid mechanics. In addition, they appear when minimizing domain-dependent energy functionals such as Sobolev norms and eigenvalues. While a lot of progress is being made, there still remains challenging open problems, e.g. the Schiffer conjecture: which states that if a nontrivial eigenfunction of the Neumann eigenvalue problem, on a bounded domain, has a constant Dirichlet boundary condition then the domain must be a ball.
In this talk, we provide an overview on recent results on overdetermined and discuss new results on the Schiffer problem on some manifolds.
Lei Guo, Chinese Academy of Sciences, China Learning and Feedback in the Control of Uncertain Dynamical Systems Abstract: Learning and feedback are complementary mechanisms in dealing with uncertain dynamical systems. Learning plays a basic role in the design of control systems, and feedback makes it possible for a control system to perform well in an open environment with various uncertainties. In this lecture, some basic results will be presented when online learning is combined with feedback in the control of uncertain dynamical systems. We will first consider the celebrated self-tuning regulators (STR) in adaptive control of uncertain linear stochastic systems, where the STR is designed by combining the recursive least-squares estimator with the minimum variance controller. The global convergence of this natural and seemingly simple adaptive system had actually been a longstanding open problem in control theory. Next, we will discuss the rationale and foundation behind the widespread successful industrial applications of the well-known proportional-integral-derivative (PID) control for nonlinear uncertain systems and provide a new and powerful online learning-based design method. Finally, we will present some basic results on more fundamental problems concerning the maximum capability and limitations of the feedback mechanism in dealing with uncertain nonlinear systems, where the feedback mechanism is defined as the class of all possible feedback laws. The results presented in this lecture may offer useful implications for the design and analysis of more complicated control systems where AI is combined with online feedback control.
SIAM Prize SIAM Peter Henrici Lecture
Douglas N. Arnold, University of Minnesota, USA What the @#$! is Cohomology Doing in Numerical Analysis?! Abstract: As the name suggests, numerical analysis — the study of computational algorithms to solve mathematical problems, such as differential equations — has traditionally been viewed mostly as a branch of analysis. Geometry, topology, and algebra played little role. Indeed, often departments created special degree requirements so that computational and applied math students could avoid studying these subjects altogether. However in the last decade or things have changed. The recent numerical analysis literature is replete with papers using concepts that are new to the subject, say, symplectic differential forms or de Rham cohomology or Hodge theory. In this talk we will discuss some examples of this phenomenon, especially the Finite Element Exterior Calculus. We shall see why these new ideas arise naturally in numerical analysis and how they contribute.
SIAM John von Neumann Lecture
Yousef Saad, University of Minnesota, USA Iterative Linear Algebra for Large Scale Computations Abstract: The field of what may be termed “iterative linear algebra” blends a fascinating combination of mathematical analysis tools, clever algorithm development, approximation techniques, as well as effective implementations. For example, approximation theory plays a major role in developing and analyzing iterative algorithms, as do advanced linear algebra, error analysis, and high-performance computing. In addition, research in this area is deemed to be most successful if it winds up helping to solve challenging problems in real-life applications, whether in fluid mechanics (large sparse linear systems), or in electronic structure calculations (large eigenvalue problems).
This talk will provide a perspective on iterative linear algebra with emphasis on Krylov subspace methods. Part of the presentation will also examine more recent trends and emerging demands in an effort to anticipate promising new directions for iterative linear algebra.
AWM-SIAM Sonia Kovalevsky Lecture
Annalisa Buffa, École polytechnique fédérale de Lausanne, Switzerland Simulation of PDEs on Geometries Obtained via Boolean Operations Abstract: Geometric design uses splines representation of surfaces as the main building bloc, but it involves many other ingredients. Geometries are described as a combination of primitives and spline/NURBS boundary representations which are combined via boolean operations, such as intersections and unions. We aim to develop numerical methods that are robustly able to tackle the simulation of PDEs over such “unstructured” geometric representation. For example, dealing with trimming, which corresponds to an intersection operation in geometric modelling, falls into the category of immersed/unfitted discretizations (e.g., Finite Cell Method, cutFEM, immerse-geometric analysis, shifted boundary method, aggregated unfitted FEM), where computational meshes do not align with geometric boundaries/interfaces.
While geometric modelling is extremely flexible, various issues have to be addressed on the analysis side, such as stability, quadrature, imposition of boundary conditions, conditioning of the underlying linear system, etc.
In this talk, we discuss various aspects of this interesting challenge. Starting from defeaturing, which means a systematic removal of features from a geometric model, and its implication on accuracy, to stability issues in the presence of slim or small cut elements, to efficient quadrature, to the imposition of the boundary condition and to the extension of the framework to the assembly of several geometries via union.
Finally, we discuss also how to make these approaches viable in a shape optimization loop, by discussing their use within a reduced-order modelling framework.
I will conclude the talk by showing results and discussing challenges.
Once you have registered, you will receive a QR code that you will need to bring to the registration desk on the day of the event. Please show the QR code at the registration desk.
Please note that QR codes for accompanying persons will not be sent in advance. The accompanying person’s name tag will be handed to the general participants at Step.2.
Registration for ICIAM 2023 is divided into three steps. Please note that you need to show the QR code at every step.
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Public Lecture 1 on Aug. 20
[13:20-14:30] Prof. Kokichi Sugihara
Meiji Institute for Advanced Study of Mathematical Science, Meiji University
Title
Impossible World Represented by Real 3D Objects
Abstract
Escher presented the impossible world by 2D pictures, while we present it using real 3D objects. A mathematical model of the human vision and optical illusion enables us to create 3D objects whose behaviors look impossible. The illusion is strong so that we can enjoy even when we see them by two eyes.
Early 3D realizations of impossible figures are valid only when we see them from the specific viewpoint with a single eye, and hence they were almost equivalent to 2D pictures. Our impossible objects, on the other hand, are true 3D realizations in the sense that the viewpoint is not strictly restricted.
Profile
Kokichi Sugihara is a Meiji University distinguished professor emeritus. His research area is mathematical engineering. In his research on computer vision, he found a method for constructing 3D objects from “impossible figures”, and extended his research interest to human vision and optical illusion. He is acting also as an illusion artist by creating various impossible objects. He won the first prize four times in the Best Illusion of the Year Contest.
[14:45-15:30] Prof. Noboru Kikuchi
President of Toyota Konpon Research Institute
Managing Director of Toyota Physical and Chemical Research Institute
Roger L. McCarthy Professor Emeritus of Mechanical Engineering, University of Michigan
Title
Safety and Feel Safety Induced by Applied Mathematics in Automotive Industry Toward Autonomous Automation
Abstract
Founders of TOYOTA dreamed “Flying Nimbus” that is a magical flying cloud in Chinese classic literature “Journey to the West, Saiyuki.” When I was told about this look-like very childish dream by Dr. Shoichiro Toyoda at the visit to Toyota Central R&D Laboratories while I was working in University of Michigan, I was so impressed by the dream that he storied through Flying Nimbus. It is a sustainable safe and feel safe vehicle made from water and air! Dr. Toyoda asked me to lead advanced research for Flying Nimbus with extremely charming smile. Researchers must be realistic, but they are so dreamy, too.
In this talk, various struggling stories would be presented with so many failing so few successful trials to implement this notion in real vehicles applying all possible science and technology, especially computer related applied mathematics. Through this dreamy venture, we have leaned enormous difference between safety and feel safety together with clear distinction between personal and social acceptance. Applied mathematics, especially computer related science and technology including artificial intelligence, would be a key potential remedy to close the gaps mentioned.
[15:45-16:30] Prof. Padmanabhan Seshaiyer
Title
Understanding the Dimensions of Justice, Equity, Diversity and Inclusion (JEDI) across the globe in Applied Mathematics Research and Education
Abstract
In this talk, the participants will engage in learning about integrating equitable practices for advancing their understanding of racial equity in applied mathematical research, education and outreach. Discussions will include the impact of unconscious bias which is influenced by cultural stereotypes that affect how individuals evaluate and treat one another. These often continue to impact both universities and workplace environments across the globe. Another important discussion will include the different perspectives of justice, equity, diversity and inclusion (JEDI) in the applied mathematics community which are often exhibited by power inclusive behaviors in different cultures. We will also discuss effective use of applied mathematics tools and techniques to address systemic inequality and to reduce variations in judgment across humans that require more than just the adoption of the right technical approaches to the right data sets about people, institutions, communities, and systems. Finally, we hope that the session will help to empower participants with the latest scientific findings on the learning characteristics of underrepresented populations, understand the different approaches to JEDI across the globe, gain awareness of cultural differences and employ an inclusive, equitable and culturally relevant pedagogy in applied mathematics education and research.
Dr. Seshaiyer is the Chair of the SIAM Diversity Advisory Committee that consists of distinguished members from the Applied Mathematics community across the globe who assist SIAM in addressing policy issues that arise in relationship to underrepresented groups. As the Chair, he helps to oversee the working group for the Workshop Celebrating Diversity that is held each year at the SIAM Annual Meetings. He continues to promote the much-needed awareness of justice, equity, diversity and inclusion (JEDI) across the globe through his work as he prepares students to become critical thinkers and global problem solvers in applied mathematics.
Profile
Prof. Padmanabhan (Padhu) Seshaiyer is a tenured full Professor of Mathematical Sciences at George Mason University, USA and works in the broad areas of Computational and Applied Mathematics, Computational Data Science, Computational Biomechanics and STEM Education. During the last two decades, he has initiated and directed a variety of educational programs including faculty development, post-graduate, graduate and undergraduate research, K-12 outreach, teacher professional development, and enrichment programs to foster the interest of students and teachers at all levels to apply well-developed research concepts, to fundamental applications arising in STEM disciplines. He has served in multiple leadership positions including serving as the Chair for the Diversity Advisory Committee for SIAM, Chair-Elect for US National Academies Commission for Mathematics Instruction, Associate Director in Applied Mathematics for the Mathematics Alliance Program and an appointed member of the STEM Advisory Board to the Office of the Governor of Virginia. He has also served as a former Program Director at the US National Science Foundation. Over the last two decades, he has won several prestigious national and international awards and honors for his contributions to research, teaching and service. Most notably in 2019, he was selected as “Figures that Matter” and was awarded an honorary doctorate from Vrije Universiteit Brussel for being a committed scientist who transcend the boundaries of their own disciplines and to personalities that have been at the frontiers of societal change. In April 2022, SIAM spotlighted him as one of the most influential mathematicians in the community during the Mathematics and Statistics Awareness Month.
Public Lecture 2 on Aug. 23
[13:20-15:00] Prof. Jun Mitani
University of Tsukuba
Title
The Possibilities of Origami: Art, Mathematics, and Applications in Engineering
Abstract
Origami is a traditional art form of Japan with a rich history. Simple and beautiful creations such as the origami crane and paper boat are iconic symbols of this art. However, origami is not only admired for its beauty but also for its complexity and mathematical aspects. Furthermore, the folding characteristic of origami proves to be a functional feature in engineering, making it promising for industrial applications. In this lecture, the historical background of origami will be explored, and the speaker will explain how it is intricately connected with mathematics and how it’s being applied in various industries. Additionally, we will discuss the evolution of origami design through the utilization of computers. The speaker will introduce the techniques they have developed for creating shapes with curved surfaces and at the end of the lecture, participants will have the opportunity to experience folding origami using curves.
Profile
Mitani is a professor of Information and Systems at University of Tsukuba. He received his Ph.D. in engineering from the University of Tokyo in 2004. He has been present post since April 2015. His research
interests center on computer graphics, in particular geometric modeling techniques and their application to curved origami design.
The congress will use Zoom Meeting for online participants and speakers. To access each Zoom meeting room, you must first log in to “The Lobby” of the online venue (Zoom Events). From the lobby, you can select the session you wish to attend and enter the Zoom Meeting. Specific instructions on how to participate in the lobby will be posted on this page.
Please refer to the following manuals: Information for speakers and chairpersons is also included.
The items for the attachment are prepared so that you only bring your printed poster to the space.
Please remove your poster by 5 p.m.
As a Participant
In this congress, many participants will be attended. We will be using an application called ZoomEvents to allow all attendees join to your lecture and all lectures. When giving a talk, the speaker must be connected to Zoomevents.
We sent the invitation email for accessing the Zoomevents. Please find a email titled “You are registered for ICIAM 2023 TOKYO” and click the “Agree and Join” button.
When you accessed, first you enter the lobby on the online venue. Could you click the “session” tag on the top right and find your session or interested sessions using the date and the room number. ex) A201 on Aug.21
For more information, please refer to the following manuals: Information for speakers and chairpersons is also included.
ICIAM 2023 will be held in person, but under reasonable request, participants who require online access to conference meetings will be accommodated (hybrid format). In hybrid format, speakers need to participate in the online venue, regardless of the lecture format (online/in person). This is to ensure that all participants can see the slides and listen to the speakers.
The congress will use application called Zoom Events as an online venue. As closed an advance registration (July 20, 2023 [Anywhere on Earth]), an invitation email for joining Zoom Events will be sent to the email address in the Review system(https://review.iciam2023.org/). Just those who have already completed registration are received email(including members of Financial support program). The participants can access Zoom Events from the link in the invitation email. If the participants have a Zoom account, the participants can also connect from the Zoom Events URL (https://events.zoom.us/) by entering that account as email address. After the invitation email was sent, addition or change of the email address will be checked on the system once a day. When the email address is added or changed, invitation email will be sent again. The original email address will no longer be available.
When the participants access The Zoom Events, the participants will first enter an area called the lobby. The Zoom Events has the same number of Zoom meeting rooms (called a Session) as local rooms. From the lobby, the participants can join the sessions corresponding to the date, local building, and room. Special Lectures(ICIAM Prize and Invited Lectures) can also be accessed from the lobby.
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The 2023 ICIAM prizes will be awarded at the Opening Ceremony of the International Congress for Industrial and Applied Mathematics, ICIAM 2023, to be held in Tokyo (Japan), on August 20-25, 2023. The Prize Committee was chaired by Ya-xiang Yuan, the President of ICIAM. Other members were:
Gang Bao (Chair of Maxwell Prize Subcommittee).
Alfredo Bermudez (Chair of Pioneer Prize Subcommittee).
Nira Chamberlian (Chair of Industry Prize Subcommittee).
Leah Edelstein-Keshet (Chair of Lagrange Prize Subcommittee).
Lois Curfman McInnes (Chair of Su Buchin Prize Subcommittee).
Kim-Chuan Toh (Chair of Collatz Prize Subcommittee).
ICIAM Collatz Prize
The 2023 ICIAM Collatz Prize is awarded to Maria Colombo (EPFL Lausanne, Switzerland) for her fundamental contributions to the regularity theory and the analysis of singularities in elliptic PDEs, geometric variational problems, transport equations, and incompressible fluid dynamics.
The Collatz Prize was established to provide international recognition to individual scientists under 42 years of age for outstanding work on industrial and applied mathematics. It was created on the initiative of GAMM, and first awarded in 1999. Carrying a cash award of USD 5000, the Collatz Prize is presently funded by GAMM.
Maria Colombo was born in 1989 in Luino, Italy. She received her Bachelor and Master degrees in Mathematics from University of Pisa, and PhD degree from Scuola Normale Superiore of Pisa in 2015. After holding positions at the University of Zurich and ETH Zurich, she joined EPFL Lausanne as an Assistant Professor in 2018, where she is now a Full Professor of Mathematics. Maria Colombo has received several prizes and awards that include the 2022 Peter Lax award, the 2019 Bartolozzi Prize from the Italian Mathematical Union, and the 2015 Michele Cuozzo Prize for her PhD thesis.
Maria Colombo has made substantial contributions to the regularity theory and the analysis of singularities in elliptic PDEs, transport equations, and incompressible fluid dynamics. In particular, she has made significant advances in the understanding of the long-time behavior of solutions to fundamental equations in fluids such as Euler and Navier-Stokes equations. In her joint work with Buckmaster and Vicol, they showed the existence of badly behaved weak solutions of the Navier-Stokes equations which are smooth except for a singular set of times of Hausdorff dimension less than 1. Very recently, her joint work with Albritton and Brue’ constructed for the first time nonunique Leray-Hopf solutions of the forced Navier-Stokes equations. Together with her student Haffter, they also proved that the singular set of Leray-Hopf weak solutions of the supercritical SQG (surface quasi-geostrophic) equation is contained in a compact set in spacetime whose Hausdorff dimension is also estimated. Maria Colombo has several works (with Spolaor, Edelen and Velichkov) on the structure of singularities for solutions to the obstacle problem and minimal surfaces. Their work on the log-epiperimetric inequality in GAFA is a beautiful discovery that has sparked subsequent major developments in the area.
The subcommittee for ICIAM Collatz Prize was:
Kim-Chuan Toh (National University of Singapore, Singapore), Chair.
Gregoire Allaire (Ecole Polytechnique, France).
Ricardo Cortez (Tulane University, USA).
Hiroshi Suito (Tohoku University, Japan).
ICIAM Lagrange Prize
Awarded to Alfio Quarteroni for his ground-breaking work in finite element and spectral methods, domain decomposition methods, discontinuous Galerkin methods, numerical solution of incompressible Navier-Stokes equations, multiphysics and multiscale modeling – with application to fluid dynamics, geophysics, the human heart and circulatory system, the Covid-19 epidemic, as well as improvement of sports performance for the America’s Cup sailing competition.
The Lagrange Prize was established to provide international recognition to individual mathematicians who have made an exceptional contribution to applied mathematics throughout their careers. It was created on the initiative of SEMA, SIMAI and SMAI and first awarded in 1999. Carrying a cash award of USD 5000, the Lagrange Prize is presently funded by the four member societies SBMAC, SEMA, SIMAI and SMAI.
Alfio Quarteroni became a Full Professor at the Catholic University of Brescia (1986-1989), at the University of Minnesota (Minneapolis, 1990-1992), and at the Ecole Polytechnique Fédérale de Lausanne (1989-2017). He is currently a professor at the Politecnico di Milano (since 1989), where he was the founder and first Director of the Lab for Modeling and Scientific Computing (MOX). Quarteroni was a plenary speaker at the International Congress of Mathematicians (ICM Madrid 2006), at the International Congress for Applied and Industrial Mathematics (ICIAM Hamburg 1995), and at many international conferences all over the world. In 1992, his innovative work in Computational Fluid Dynamics gained a NASA Group Achievement Award. He has also been awarded the Galileo Galilei International Prize for Science (2015), the Feng Kang Prize of the Chinese Academy of Sciences (2013), the Euler medal from ECCOMAS (2022), among many others. He is a fellow of the International Association of Computational Mechanics (2004), the Accademia dei Lincei (2004), the Society for Industrial and Applied Mathematics (SIAM, 2009), the European Academy of Sciences (2010), Academia Europaea (2014), the Lisbon Academy of Sciences (2018), European Community on Computational Methods in Applied Science (ECCOMAS, 2010), and the Swiss Academy of Engineering Sciences (2012).
Alfio Quarteroni has made significant impact on mathematics by developing finite elements and spectral methods, domain decomposition techniques, reduced order methods and their integration with machine learning techniques. His career has been marked by outstanding innovations in numerical methods for partial differential equations, and myriad practical applications, including earthquake simulations, models of the human heart and cardiovascular system, the improvement of sports performance, and industrial applications. His mathematical optimization methods contributed to the winning Swiss team in the America’s cup sailing competition (2003, 2007).
Alfio Quarteroni has a prolific record of over 400 peer-reviewed publications and 26 books, some of which have been translated into many languages. He has trained over 200 young scientists (MSc and PhD). He is well known for his contributions to fostering the applied mathematics community, particularly in Europe.
The subcommittee for the Lagrange prize was:
Leah Edelstein-Keshet (University of British Columbia, Canada), Chair
Rosa Donat (University of Valencia, Spain)
Maurizio Falcone (University of Rome, Italy)
Irena Lasiecka (University of Memphis, USA)
Hiroshi Matano (Meiji University, Japan)
Lloyd N. Trefethen (University of Oxford, UK)
ICIAM Maxwell Prize
Awarded to Weinan E for his seminal contributions to applied mathematics and in particular on analysis and application of machine learning algorithms, multi-scale modeling, the modeling of rare events and stochastic partial differential equations.
The Maxwell Prize was established to provide international recognition to a mathematician who has demonstrated originality in applied mathematics. It was created on the initiative of the IMA (with the support of the James Clerk Maxwell Foundation), and first awarded in 1999. Carrying a cash award of USD 5000, the Maxwell Prize is presently funded by the IMA and by the James Clerk Maxwell Foundation.
Weinan E is the director of the Center for Machine Learning Research at Peking University and professor in the Department of Mathematics and Program in Applied and Computational Mathematics at Princeton University. He obtained his undergraduate degree at the University of Science and Technology of China in 1982, his master’s degree at the Chinese Academy of Sciences in 1985, and his Ph.D. at the University of California, Los Angeles in 1989. Professor E was the recipient of the ICIAM Collatz Prize in 2003, the Peter Henrici Prize of SIAM and ETH in 2019, and the Gordon Bell Prize from ACM in 2020. He has been invited to deliver a plenary lecture at ICM 2022. Professor E was elected fellow of the Institute of Physics in 2005, fellow of SIAM in 2009, member of the Chinese Academy of Sciences in 2011 and fellow of the American Mathematical Society in 2012.
Professor E’s research work draws inspiration from various disciplines of sciences. He has made profound impact in fluid dynamics, chemistry, material sciences, and soft condensed matter physics. He has contributed to the resolution of many long standing scientific problems such as the Burgers turbulence problem, and the Cauchy-Born rule for crystalline solids. A common theme of his work is to bring clarity to scientific issues through mathematics. A second theme is multi-scale and/or multi-physics modeling. He has made fundamental contributions to building the mathematical framework and finding effective numerical algorithms for modeling rare events. He has also made original contributions to multiscale analysis and algorithms through his work on heterogeneous multi-scale methods, multi-scale stochastic simulation algorithms, complex fluids and homogenization problems. In addition, Professor E and collaborators made fundamental contributions to the analysis and numerical algorithms of density functional theory, including studying its continuum limit and developing the PEXSI algorithm. More recently, Professor E pioneered the development of deep learning-based algorithms in scientific computing and computational science. His work on solving high dimensional stochastic control problems using deep learning-based algorithms in 2016 was the first paper on deep learning-based algorithms for high dimensional problems in scientific computing. He and collaborators have developed deep learning-based methodologies in molecular dynamics and quantum mechanics, and he pioneered the dynamical systems and control theory approach to machine learning and maximum principle-based algorithms for deep learning.
The subcommittee for ICIAM Maxwell Prize was:
Gang Bao (Zhejiang, University，China), Chair
Wolfgang Dahmen (University of South Carolina, USA)
Qiang Du (Columbia University, USA)
Erwan Faou (INRIA and University of Rennes, France)
Des Higham (University of Edinburgh, UK)
Amy Novick-Cohen (Technion, Israel)
ICIAM Pioneer Prize
Awarded to Leslie Greengard (Courant Institute, New York University and Flatiron Institute, Simons Foundation) for his pioneering work on fast algorithms including the fast multipole method (one of the top-ten algorithms of the 20th century), fast Gauss transform, and fast direct solvers; and for the development of innovative high-order, automatically adaptive algorithms for differential and integral equations.
Leslie Greengard was born in London, England, but grew up in the United States in New York City, Boston, and New Haven. He holds a B.A. in mathematics from Wesleyan University (1979), an M.D, from the Yale University School of Medicine (1987), and a Ph.D. in computer science from Yale University (1987).
From 2006-2011, Greengard was director of the Courant Institute of Mathematical Sciences, an independent division of the New York University (NYU) and is currently a professor of mathematics and computer science at this prestigious Center. He is also director of the Center for Computational Mathematics at the Flatiron Institute, a division of the Simons Foundation. He formerly served as the director at the Center for Computational Biology in the Flatiron Institute.
Professor Greengard has had a profound impact on computational mathematics. The Fast Multipole Method (FMM), developed together with Vladimir Rokhlin, is one of the top ten algorithms of the 20th century. Its impact has been further enhanced by complementary techniques such as
Fast Gauss transforms for the rapid computation of Gauss convolution over unstructured point sets;
Fast algorithms and implementations for three types of non-uniform Fourier transforms;
Fast direct solvers for non-oscillatory and oscillatory integral equations based on the idea of recursive skeletonization.
These contributions have enabled simulations that would otherwise be completely intractable in áreas such as electromagnetics, acoustics, computational biology, fluid and solid mechanics, heat transfer, quantum mechanics, and biomedical imaging.
Besides its immediate impact for solving fast summation problems that arise directly in computational simulations, the other dramatic impact of the FMM was that it unlocked integral equation formulations as a tool for mathematical modeling of large scale problems. Leslie has spearheaded a decades long effort to extend integral equations techniques to apply to not only elliptic problems, but also parabolic ones like the heat equation, or the Navier-Stokes equations.
Professor Greengard is a prolific writer with more than 120 professional articles. Many of these articles are highly cited and some of his review articles have strongly influenced the field of applied and computational mathematics.
He was an invited speaker for the International Congress of Mathematicians (ICM) in 1998 and an invited speaker for the International Congress on Industrial and Applied Mathematics (ICIAM) in 1999. He gave the prestigious von Neumann Lecture of SIAM in 2014. He has been elected to National Academy of Sciences (USA), National Academy of Engineering (USA), and American Academy of Arts and Sciences.
The subcommittee for ICIAM Pioneer Prize was:
Alfredo Bermudez (University of Santiago de Compostela, Spain) Chair
Poul G. Hjorth (Technic University of Denmark, Denmark)
Narayan Rangaraj (India, IIT Bombay)
Carola Bibiane Schönlieb (University of Cambridge, UK)
Jin Keun Seo (Yonsei University, South Korea)
Joseph Teran (UC Davis, US)
ICIAM Su Buchin Prize
The 2023 ICIAM Su Buchin Prize is awarded to Jose Mario Martinez Perez (University of Campinas, Brazil) for outstanding achievements in research—a combination of theory, practice, software, and applications for solving large-scale optimization problems—and in fostering the development of the optimization and applied mathematics communities in Latin America.
The Su Buchin Prize was established to provide international recognition of an outstanding contribution by an individual in the application of Mathematics to emerging economies and human development, in particular at the economic and cultural level in developing countries. This includes efforts to improve mathematical research and teaching in those countries. Created as an initiative of CSIAM and first awarded in 2007, the prize carries a cash award of USD 5000 and is presently funded by CSIAM.
In 1971, Jose Mario Martinez Perez received his 1st degree in mathematics from the University of Buenos Aires, Argentina. In 1978 he received a Ph.D. in systems engineering and computer sciences from the Federal University of Rio de Janeiro, Brazil. He was a professor at the University of Campinas, Brazil, between 1978 and 2018, transitioning to emeritus professor in 2019. Professor Martinez Perez was awarded the Brazilian National Order of Scientific Merit and is a full member of the Brazilian Academy of Sciences.
Jose Mario Martinez Perez is both an outstanding researcher with numerous contributions to applied mathematics and an exemplary teacher, whose efforts have motivated countless students. He has devoted his career to optimization and numerical analysis, authoring numerous articles that address topics such as augmented Lagrangians, sequential quadratic programming, and trust region methods. His contributions represent remarkable advances for solving large-scale optimization problems through published algorithms and software, along with deep involvement in a wide range of applications.
The work of Jose Mario Martinez Perez has been fundamental in the development of applied mathematics research in Latin America. He has supervised more than 30 master’s students and more than 30 Ph.D. students from various countries in the region, maintaining strong connections over time and promoting collaborations that strengthen the development of research groups in each of those countries. For example, his former students are now professors at universities in Brazil, Argentina, Venezuela, Colombia, and Chile. Also, he has been an important actor in the creation, expansion and consolidation of Sociedade Brasileria de Mathematica Aplicada e Computacional (SBMAC), which was created in 1978. Taken together, Professor Martinez Perez’s achievements in research and in building the optimization and applied mathematics communities in Latin America are an extraordinarily influential body of professional work.
The subcommittee for the ICIAM Su Buchin Prize was:
Lois Curfman McInnes (Argonne National Laboratory, US), Chair.
Tanniemola Liverpool (University of Bristol, UK).
Amiya Kumar Pani (Indian Institute of Technology Bombay, India).
Precious Sibanda (University of Kwazulu-Natal, South Africa).
Pingwen Zhang (Peking University, China).
ICIAM Industry Prize 2023
Awarded to Cleve B. Moler for his outstanding contributions to the development of mathematical and computational tools and methods for the solution of science and engineering problems and his invention of MATLAB, which allows industrial users to harness efficient and reliable numerical methods to execute numerical simulations in ever-expanding domains of science and engineering.
The ICIAM Industry Prize was established to provide international recognition to scientists who have made outstanding contributions to innovative mathematical techniques with demonstrated impact in Industry. It was created in 2020 and will be awarded for the first time in 2023. Carrying a cash award of USD 5000, the Industry prize is currently funded by JSIAM.
Cleve B. Moler is the Founder and Chief Mathematician of Math Works, Inc.. He received his B.Sc. degree in Mathematics from California Institute of Technology, in 1961, and his M.S. in 1963 and Ph.D. 1965 in Mathematics from Stanford University. He has received a de Florez Award from AIAA, a John von Neuman Medal from IEEE, a Computer Pioneer Award and a Sidney Fernbach Award from IEEE Computer Society, the SIAM-ACM Prize in Computational Science and Engineering and the SIAM Prize for Distinguished Service to the Profession. He is a Fellow of SIAM and a member of National Academy of Engineering.
In creating MATLAB and co-founding MathWorks, Moler changed the applied mathematics world. MATLAB is a high-level programming environment for scientific and engineering computing that is used worldwide. MATLAB and its associate software Simulink are used in industries including automotive, aerospace, communications, electronics, industrial automation, financial services, and computational biology. According to the MathWorks, there are more than 4 million MATLAB users worldwide. Moler also is one of the authors of the LINPACK and EISPACK scientific subroutine libraries, the original dense linear algebra software libraries. These libraries encapsulated the state-of-the-art numerical algorithms to make them more widely available to scientists and engineers who needed to solve the linear systems and eigenvalue problems ubiquitous in science and engineering without requiring them to become experts in the algorithms or software
Moler is an outstanding mathematician. In his abbreviated career in academia, he advised students who took the field to the next level: Charlie Van Loan, Jack Dongarra, Alan Cline, Stan Eisenstat and others. His contributions include a fundamental algorithm, the QZ algorithm (jointly invented with Pete Stewart), for reduction of a matrix to Hessenberg form as a necessary first step in computing the eigenpairs for the generalized eigenproblem Ax = λBx.
The subcommittee for ICIAM Industry Prize was
Nira Chamberlain (Institute of Mathematics and its Application, UK), Chair
Jose A. Cuminato (University of Sao Paulo, Brazil)
Cynthia Dwork, Gordon McKay Professor of Computer Science at Harvard, Affiliated Faculty at Harvard Law School and Department of Statistics, and Distinguished Scientist at Microsoft, is renowned for placing privacy-preserving data analysis on a mathematically rigorous foundation. She has also made seminal contributions in algorithmic fairness, cryptography, and distributed computing. Her current focus is on the theory of algorithmic fairness. Dwork is the recipient of numerous awards including the IEEE Hamming Medal, the Goedel Prize, the Knuth Prize, and the ACM Paris Kanellakis Theory and Practice Award. She is a member of the US National Academy of Sciences and the US National Academy of Engineering, and is a Fellow of the American Academy of Arts and Sciences and the American Philosophical Society.
Prof. Youssef Marzouk
Youssef Marzouk is a Professor in the Department of Aeronautics and Astronautics at the Massachusetts Institute of Technology (MIT), and co-director of the MIT Center for Computational Science and Engineering, within the Schwarzman College of Computing. He is also a core member of MIT’s Statistics and Data Science Center.
His research interests lie at the intersection of statistical inference, computational mathematics, and physical modeling. He has developed new methodologies for uncertainty quantification, Bayesian computation, and machine learning in complex physical systems, motivated by a broad range of engineering and science applications. In the past decade, his main research contributions have centered on algorithms for inference, with applications to data assimilation and inverse problems; dimension reduction methodologies for high-dimensional learning and surrogate modeling; optimal experimental design; and transportation of measure as a tool for both inference and stochastic modeling.
He received his SB, SM, and PhD degrees from MIT and spent four years at Sandia National Laboratories before joining the MIT faculty in 2009. He is also an avid coffee drinker and occasional classical pianist.
Prof. Ingrid Daubechies
Ingrid Daubechies earned her Ph.D. in theoretical physics from Vrije Universiteit Brussel. She currently holds the title of James B. Duke Professor of Mathematics and Electrical and Computer Engineering at Duke University. Although her degree is in (theoretical) physics, she thought she would become an engineer while growing up. Her mother was heartbroken when she opted for pure science instead, and predicted Ingrid would end up in the gutter, jobless. Fortunately, matters turned out better. Her academic work focuses on mathematical methods for the analysis of signals, images and data, with applications in many directions. She enjoys working in collaboration with others, in her scientific work as well as otherwise. Her latest collaboration is a Simons Foundation/Duke University funded art project https://mathemalchemy.org/.
Prof. Tamara Kolda
Tamara G. Kolda is an independent mathematical consultant under the auspices of her company MathSci.ai based in California. She is also a Distinguished Visiting Professor in the Department of Industrial Engineering & Management Science at Northwestern University in Evanston, Illinois. From 1999-2021, she was a researcher at Sandia National Laboratories in Livermore, California. She specializes in mathematical algorithms and computation methods for tensor decompositions, tensor eigenvalues, graph algorithms, randomized algorithms, machine learning, network science, numerical optimization, and distributed and parallel computing. She is serves as the founding editor-in-chief for the SIAM Journal on Mathematics of Data Science (SIMODS) and as the Chair of the Illustrating the Impact of the Mathematical Sciences study for the U.S. National Academies. She is a member of the National Academy of Engineering (NAE), Fellow of the Society for Industrial and Applied Mathematics (SIAM), and Fellow of the Association for Computing Machinery (ACM).
Prof. Kavita Ramanan
Kavita Ramanan is the Roland George Dwight Richardson University Professor and Associate Chair at the Division of Applied Mathematics, Brown University. Her research interests lie in the area of probability theory and stochastic processes, including high-dimensional probability, interacting particle systems, large deviations, stochastic control and applications to asymptotic convex geometry and stochastic networks. Her research has received recognition in the form of an invited lecture at the International Congress of Mathematicians, a Clay Senior Scholarship, Vannevar Bush Faculty Fellowship, a Guggenheim Fellowship, the Newton Award from the Department of Defense (DoD), a Simons Fellowship, and the Erlang Prize from the INFORMS Applied Probability Society. She is an elected fellow of multiple societies including the AAAS, AMS, IMS, INFORMS and SIAM, and is an elected member of the American Academy of Arts and Sciences. She also initiated the SEAM (Social Equity and Applied Math) seminar series, runs a math outreach group called the Math CoOp, and organizes the Mathematics-Sin-Fronteras lecture series.
Prof. Lior Horesh
Dr. Lior Horesh is a Principal Research Staff Member, Master Inventor, and a Senior Manager of the Mathematics of AI group at IBM Research. His group’s mission is to approach some of the big challenges the field of AI is facing, from a principled mathematical angle. This involves both conceiving and bringing in state-of-the-art mathematical theories, algorithms, and analysis tools, in hope of fundamentally advancing generalizability, functionality, scalability and interpretability of AI. Additionally, Dr. Horesh holds an adjunct Associate Professor position at the Computer Science department of Columbia University where he teaches graduate level Advanced Machine Learning and Quantum Computing theory courses. Dr. Horesh Received his Ph.D. in 2006 from UCL and joined IBM in 2009. Dr. Horesh’s research work focuses on algorithmic and theoretical aspects of tensor algebra, numerical analysis, simulation of complex systems, inverse problems, non-linear optimization, experimental design, machine learning, quantum computing and the interplay between first principles models and statistical AI in the context of symbolic scientific discovery.
Prof. Rachel Ward
Rachel Ward is the W.A. “Tex” Moncrief Distinguished Professor in Computational Engineering and Sciences — Data Science and Professor of Mathematics at UT Austin. She is recognized for her contributions to stochastic gradient descent, compressive sensing, and randomized linear embeddings. From 2017-2018, Dr. Ward was a visiting researcher at Facebook AI Research. Prior to joining UT Austin in 2011, Dr. Ward received the PhD in Computational and Applied Mathematics at Princeton in 2009 and was a Courant Instructor at the Courant Institute, NYU, from 2009-2011. Among her awards are the Sloan research fellowship, NSF CAREER award, 2016 IMA prize in mathematics and its applications, 2020 Simons fellowship in mathematics. She is also an invited speaker at the 2022 International Congress of Mathematicians.
Prof. Andrew Stuart
Andrew Stuart works in applied and computational mathematics, and is interested in particular in the question of how to optimally combine predictive models with data. He joined Caltech in 2016 as Bren Professor of Computing and Mathematical Sciences, after 17 years as Professor of Mathematics at the University of Warwick (1999–2016). Prior to that he was a tenured professor in The Departments of Computer Science and Mechanical Engineering at Stanford University (1992–1999), and a lecturer in the Mathematics Department at Bath University (1989–1992). He obtained his PhD from the Oxford University Computing Laboratory in 1986, and held postdoctoral positions in Mathematics at Oxford University and at MIT in the period 1986–1989. He was elected a Fellow of The Royal Society in 2020, and was selected as a US Department of Defense Vannevar Bush Faculty Fellow in 2022.
Prof. Jose Antonio Carrillo de la Plata
José A. Carrillo is currently Professor of the Analysis of Nonlinear Partial Differential Equations at the Mathematical Institute and Tutorial Fellow in Applied Mathematics at The Queen’s College, University of Oxford associated to the OxPDE and WCMB groups. He was previously Chair in Applied and Numerical Analysis at Imperial College London from October 2012 till March 2020 and ICREA Research Professor at the Universitat Autònoma de Barcelona during the period 2003-2012. He was a lecturer at the University of Texas at Austin 1998-2000; and held assistant and associate professor positions at the Universidad de Granada 1992-1998 and 2000-2003, where he also did his PhD.
He works on kinetic equations and nonlinear nonlocal diffusion equations. He has contributed to the theoretical and numerical analysis of PDEs, and their simulation in different applications such as granular media, semiconductors and lately in collective behaviour. His main scholarship contributions in analysis of PDEs are in aggregation-diffusion problems, i.e. nonlinear Fokker-Planck type equations; the use of optimal transport techniques and entropy methods to analyse theoretically and numerically gradient-flow structures for PDEs and their singularities; the analysis of kinetic models for self-organization, and their implications in mathematical biology, control engineering and global optimization. He has also developed numerical schemes for nonlinear aggregation-diffusions and gradient flows preserving the free energy decay property and thus the equilibrium measures and is lately interested in extending these properties to phase transitions. His interests in mathematical biology include the understanding of cell sorting by differential adhesion and synchronization phenomena in neuroscience.
He served as chair of the Applied Mathematics Committee of the European Mathematical Society 2014-2017. He was the chair of the 2018 Year of Mathematical Biology. He was the Program Director of the SIAM activity group in Analysis of PDE 2019-2020. He is vice-president of the European Society for Mathematical and Theoretical Biology 2021-2023; and member of the Scientific Committee of the Spanish National Science Agency 2021-2024. He was elected as member of the European Academy of Sciences, Section Mathematics in 2018, SIAM Fellow Class 2019, Fellow of the Institute of Mathematics and its Applications, and Foreign Member of the Royal Academy of Sciences of Spain since 2021. He is currently the head of the Division of the European Academy of Sciences, Section Mathematics.
He was recognised with the SEMA prize (2003) and the GAMM Richard Von-Mises prize (2006) for young researchers, a Wolfson Research Merit Award by the Royal Society 2012-2017, and the 2016 SACA award for best PhD supervision at Imperial College London. He has been Highly Cited Researcher in 2015, 2016, 2017, 2018, 2019, and 2020 by Web of Science. He has been awarded an ERC Advanced Grant 2019 to pursue his investigations in complex particle dynamics: phase transitions, patterns, and synchronization.
Prof. Gitta Kutyniok
Gitta Kutyniok currently holds a Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence at the Ludwig-Maximilians Universität München. She received her Diploma in Mathematics and Computer Science as well as her Ph.D. degree from the Universität Paderborn in Germany, and her Habilitation in Mathematics in 2006 at the Justus-Liebig Universität Gießen. From 2001 to 2008 she held visiting positions at several US institutions, including Princeton University, Stanford University, Yale University, Georgia Institute of Technology, and Washington University in St. Louis, and was a Nachdiplomslecturer at ETH Zurich in 2014. In 2008, she became a full professor of mathematics at the Universität Osnabrück, and moved to Berlin three years later, where she held an Einstein Chair in the Institute of Mathematics at the Technische Universität Berlin and a courtesy appointment in the Department of Computer Science and Engineering until 2020. In addition, Gitta Kutyniok holds an Adjunct Professorship in Machine Learning at the University of Tromso since 2019.
Gitta Kutyniok has received various awards for her research such as an award from the Universität Paderborn in 2003, the Research Prize of the Justus-Liebig Universität Gießen and a Heisenberg-Fellowship in 2006, and the von Kaven Prize by the DFG in 2007. She was invited as the Noether Lecturer at the ÖMG-DMV Congress in 2013, a plenary lecturer at the 8th European Congress of Mathematics (8ECM) in 2021, the lecturer of the London Mathematical Society (LMS) Invited Lecture Series in 2022, and an invited lecturer at the International Congress of Mathematicians 2022 (ICM 2022). Moreover, she became a member of the Berlin-Brandenburg Academy of Sciences and Humanities in 2017, a SIAM Fellow in 2019, and a member of the European Academy of Sciences in 2022. In addition, she was honored by a Francqui Chair of the Belgian Francqui Foundation in 2020. She was Chair of the SIAM Activity Group on Imaging Sciences from 2018-2019 and Vice Chair of the new SIAM Activity Group on Data Science in 2021, and currently serves as Vice President-at-Large of SIAM. She is also the spokesperson of the Research Focus “Next Generation AI” at the Center for Advanced Studies at LMU, and serves as LMU-Director of the Konrad Zuse School of Excellence in Reliable AI.
Gitta Kutyniok’s research work covers, in particular, the areas of
applied and computational harmonic analysis, artificial intelligence,
compressed sensing, deep learning, imaging sciences, inverse problems,
and applications to life sciences, robotics, and telecommunication.
Prof. Albert Cohen
Albert Cohen is a professor at Sorbonne Université, Paris, France, since 1995.
His early research works (from his PhD of 1990, supervised by Yves Meyer, until 1998) were concerned with the development of the theory of wavelet bases in relation with algorithms used in signal and image processing, or in computer aided geometric design. One significant achievement was the derivation, together with Ingrid Daubechies and Jean-Christophe Feauveau, of biorthogonal wavelet bases which are used in the state of the art image compression standard JPEG 2000.
Since 1998, his research oriented towards various applicative directions, with as a common denominator its theoretical foundations in nonlinear approximation theory and harmonic analysis. In particular, it has led to the development and analysis of adaptive and sparsity-based numerical methods in various application contexts such as (i) data compression, (ii) statistical estimation and learning theory or (iii) discretizations of partial differential equations.
Albert Cohen is often joining forces with his colleagues Wolfgang Dahmen and Ronald DeVore. Some of their most significant results are concerned with the analysis of adaptive methods for PDE’s, the space BV, greedy algorithms, and statistical learning theory. A topic of particular interest the present time is high-dimensional approximation problems arising in learning theory and in the numerical treatment of parametric and stochastic PDE’s.
His current research is in particular concerned with problems that involve a very large number of variables, and whose efficient numerical treatment is therefore challenged by the so-called curse of dimensionality, meaning that computational complexity increases exponentially in the variable dimension. Such problems are ubiquitous in an increasing number of applicative areas, among which statistical or active learning theory, parametric and stochastic partial differential equations, parameter optimization in numerical codes, with a high demand from the industrial world of efficient numerical methods.
Central scientific objectives in this context are (i) to identify fundamental mathematical principles behind overcoming the curse of dimensionality, (ii) to understand how these principles enter in relevant instances of the applications described above, and, (iii) based on these principles to develop broadly applicable concrete adaptive numerical strategies that benefit from such mechanisms.
Albert Cohen’s research has been supported by the Advanced ERC grant BREAD (Breaking the Curse of Dimensionality in Analysis and Simulation) awarded in 2014. He has been a junior and senior member of the Institut Universitaire de France, and he is a member of the European Academy of Sciences.
Prof. Martin Burger
Martin Burger is a Professor of Applied Mathematics at the Department of Mathematics, Friedrich-Alexander University Erlangen-Nürnberg. His interests include nonlinear partial differential equations, inverse problems, and variational techniques in imaging. In particular, he is known for the development and mathematical analysis of nonlinear regularization methods for inverse and imaging methods. His further interests include the development of mathematical models in life and social sciences, which together drive interdisciplinary research developments, e.g., in biomedical imaging. Martin Burger has received several awards and honors for his scientific contributions, such as the Calderon prize for distinguished contributions in the field of inverse problems.
He serves on editorial boards of several journals and is one of the editors-in-chief of the European Journal of Applied Mathematics.
Prof. Francis Bach
Francis Bach is a researcher at Inria, leading since 2011 the machine learning team which is part of the Computer Science department at Ecole Normale Supérieure. He graduated from Ecole Polytechnique in 1997 and completed his Ph.D. in Computer Science at U.C. Berkeley in 2005, working with Professor Michael Jordan. He spent two years in the Mathematical Morphology group at Ecole des Mines de Paris, then he joined the computer vision project-team at Inria/Ecole Normale Supérieure from 2007 to 2010. Francis Bach is primarily interested in machine learning, and especially in sparse methods, kernel-based learning, large-scale optimization, computer vision and signal processing. He obtained in 2009 a Starting Grant and in 2016 a Consolidator Grant from the European Research Council, and received the Inria young researcher prize in 2012, the ICML test-of-time award in 2014 and 2019, as well as the Lagrange prize in continuous optimization in 2018, and the Jean-Jacques Moreau prize in 2019. He was elected in 2020 at the French Academy of Sciences. In 2015, he was program co-chair of the International Conference in Machine learning (ICML), and general chair in 2018; he is now co-editor-in-chief of the Journal of Machine Learning Research.
Prof. Monique Laurent
Monique Laurent is senior researcher at Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands, and she holds a part-time full professorship at Tilburg University. She received her Ph.D. in Mathematics at the University Paris Diderot in 1986 and was a CNRS researcher in Paris, before joining CWI in 1997.
Her research work is in the areas of discrete mathematics, optimization and convex geometry. In recent years her research focuses on algebraic and geometric methods for the design of efficient algorithms for hard optimization problems arising in operations research, discrete and polynomial optimization, and quantum information.
She became a SIAM Fellow in 2017, a member of the Royal Netherlands Academy of Arts and Sciences (KNAW) in 2018, a member of the Royal Holland Society of Sciences and Humanities (KHMW) in 2019, and a EUROPT Fellow in 2021. Other distinctions include being an invited speaker at the 2014 International Congress of Mathematicians, and giving plenary lectures at FOCM 2017, ISMP 2018 and ILAS 2022. She currently serves on the editorial boards of Mathematical Programming and SIAM Journal on Mathematics of Data Science, and previously of SIAM Journal on Discrete Mathematics, SIAM Journal on Optimization, and Mathematics of Operations Research.
Prof. Endre Süli
The work of Endre Süli is concerned with the analysis of numerical algorithms for the approximate solution of partial differential equations and the mathematical analysis of nonlinear partial differential equations in continuum mechanics.
Born in Yugoslavia in 1956, he was educated at the University of Belgrade and did his graduate work as a British Council Scholar at the University of Reading and at St Catherine’s College, Oxford. He received his doctorate in mathematics from the University of Belgrade in 1985, and in the same year he was appointed to a faculty position at the University of Oxford, where he is a Professor of Numerical Analysis and a Fellow of Worcester College.
He was elected a Foreign Member of the Serbian Academy of Sciences and Arts (2009), a Member of the European Academy of Sciences (2010), a Fellow of the Society of Industrial and Applied Mathematics (2016), a Member of the Academia Europaea (2020), and a Fellow of the Royal Society (2021).
His other honours include: Chair, Society for the Foundations of Computational Mathematics (SFoCM, 2002–2005), Invited Speaker at the International Congress of Mathematicians (ICM 2006, Madrid), Fellow of the Institute of Mathematics and its Applications (FIMA, 2007), Charlemagne Distinguished Lecture, Aachen (2011), IMA Service Award (2011), Professor Hospitus Universitatis Carolinae Pragensis, Charles University in Prague (2012–), Distinguished Visiting Chair Professor, Shanghai Jiao Tong University (2013), President, SIAM United Kingdom and Republic of Ireland Section (2013–2015), London Mathematical Society/New Zealand Mathematical Society Forder Lecturer (2015), Aziz Lecture, University of Maryland (2015), BIMOS Distinguished Lecture, Berlin (2016), John von Neumann Lecture, Münster (2016), Sibe Mardešić Lecture, Zagreb (2018), and London Mathematical Society Naylor Prize and Lectureship (2021).
Prof. Michele Benzi
Michele Benzi was born and raised in Bologna, Italy, where he attended the local university, graduating in Mathematics with honors in 1987. He received a PhD degree in Applied Mathematics in 1993 from North Carolina State University. After holding positions at the University of Bologna, at CERFACS in Toulouse (France) and at Los Alamos National Laboratory, in 2000 he joined the faculty of Emory University in Atlanta. He was promoted to full professor in 2006, and in 2012 he was named the Samuel Candler Dobbs Professor of Mathematics and Computer Science. In 2018 he returned to Italy as Professor of Numerical Analysis at the Scuola Normale Superiore in Pisa. He is the author or co-author of over 130 publications and has supervised 15 PhD students and post-docs. Michele Benzi serves, or has served, on the editorial board of 20 scientific journals, and is currently the Editor-in-Chief of SIAM Journal on Matrix Analysis and Applications. He is the recipient of several awards, including the SIAM Outstanding Paper Prize (2001, joint with M. Tuma). His research has been supported by the US National Science Foundation, the US Department
of Energy, and the Italian Ministry of University and Research.
Michele Benzi is a SIAM Fellow (2012), a Fellow of the American Mathematical Society (2018), and a member of Academia Europaea (2019).
Prof. Antonin Chambolle
Antonin Chambolle is currently a CNRS senior research scientist working at CEREMADE, the applied mathematics department of Université Paris-Dauphine in Paris, France. Prior, he held a similar position in applied mathematics at CMAP, Ecole Polytechnique, Palaiseau, with also a teaching position. His interests is in mathematical methods for the studies of discontinuities, singularities and geometric variational problems, for applications ranging from image reconstruction, data analysis, to elasticity problems with fractures and materials science. His work addresses theoretical issues, such as the existence of a crystalline mean curvature flow or of minimizers of linearized elasticity energies with fracture terms, numerical issues such as the discretization of singular functionals (total variation, Mumford-Shah) and algorithmic and computational issues. He is the co-authors of several works in mathematical programming developing efficient algorithms for non-smooth convex optimization and was awarded the “Michel Monpetit-INRIA” prize by the French Academy of Science in 2021.
He studied at Ecole Normale Supérieure in Paris and then obtained a PhD from Université Paris-Dauphine in 1993, under the supervision of Prof. Jean-Michel Morel. He also spent some time in SISSA, Trieste, Italy, in the group of Prof. Gianni Dal Maso. Later, he was “French Government Fellow” at Churchill College, Cambridge (UK) in 2015-16, working with the Cambridge Image Analysis at DAMTP.
Prof. Xiaoyun Wang
Xiaoyun Wang is a mathematician and cryptographer. She is a C. N. Yang Professor in Institute for Advanced Study, Tsinghua University, the Academician of Chinese Academy of Sciences and the International
Association for Cryptologic Research (IACR) fellow. Xiaoyun Wang is well-known for her research on hash functions. Hash functions are the key technique of many cryptographic applications such as digital signatures, integrity verifications, password validations and blockchains. A hash function generates a short digest (digital fingerprint) of the input message. Collision-resistance is one of three security
properties of cryptographic hash functions (the others are preimage resistance and second-preimage resistance). Xiaoyun Wang developed the bit-based cryptanalysis theory, and gave the collision attack on five dedicated hash functions including widely deployed MD5 and SHA-1. In response to SHA-1 attack, the US National Institute for Standards and Technology (NIST) recommended the replacement of SHA-1 by SHA-2
hash function family and announced a 5-year project to design the new hash function standard SHA-3. She was in charge of designing SM3 cryptographic hash function, as the Chinese standard, which has been deployed widely in financial, transportation, state grid and other important economic fields in China. In October 2018, SM3 officially became one of the ISO/IEC standards of new generation hash functions. She also analysed some cryptographic primitives with keys, including message authentication codes, symmetric ciphers and authenticated encryption schemes, and achieved very important results on HMAC-MD5, MD5-MAC, SIMON, Keccak-MAC, etc. Since 2006, she has been focusing on post-quantum public-key cryptography, and gave innovative results in lattice-based cryptography, including a two-level heuristic sieve algorithm for general lattices and the design of practical lattice-based algorithms with tight security.
Prof. Lei Guo
Lei GUO received his B.S. degree in mathematics from Shandong University in 1982 and a Ph.D. degree in control theory from the Chinese Academy of Sciences (CAS) in 1987. He was a postdoctoral fellow at the Australian National University from 1987 to1989 and became a Professor of the Institute of Systems Science at CAS in 1992. From 2002 to 2012, he was the President of the Academy of Mathematics and Systems Science at CAS. He has been the Director of the National Center for Mathematics and Interdisciplinary Sciences at CAS since 2010.
Dr. Guo is a Fellow of IEEE, Member of CAS, Fellow of the Academy of Sciences for the Developing World (TWAS), Foreign Member of the Royal Swedish Academy of Engineering Sciences, and Fellow of the International Federation of Automatic Control (IFAC). He received the 1993 IFAC World Congress Young Author Prize, the IFAC Outstanding Service Award, and an honorary doctorate from the Royal Institute of Technology (KTH), Sweden. He delivered plenary lectures at the triennial IFAC World Congress twice, in 1999 and 2014, and an invited lecture at the International Congress of Mathematicians (ICM) in 2002. In 2019, he was awarded the Hendrik W. Bode Lecture Prize by the IEEE Control Systems Society “for fundamental and practical contributions to the field of adaptive control, system identification, adaptive signal processing, stochastic systems, and applied mathematics” in France, where he delivered the Bode Prize Lecture at the 58th IEEE Conference on Decision and Control.
He formerly served as Council Member of IFAC (2005-2011), General Co-Chair of the 48th IEEE Conference on Decision and Control (CDC’2009), Congress Director of the 8th International Congress on Industrial and Applied Mathematics (ICIAM’2015), and President of the China Society for Industrial and Applied Mathematics (CSIAM, 2008-2016). He has also served as a member of editorial boards of several professional journals including SIAM J. Control and Optimization.
His research interests include stochastic systems, adaptive control, system identification, adaptive filtering, machine learning, control of nonlinear and uncertain dynamical systems, maximum feedback capability, multi-agent systems, and game-based control systems.
Prof. Ichiro Hagiwara
Ichiro HAGIWARA Distinguished Professor Emeritus, Dr. Eng. ASME Fellow, Research and Intellectual Property Strategic Organization, Meiji Institute for Advanced Study of Mathematical Sciences(MIMS),
Meiji University’s Institute of Autonomous Driving(MIAD), Emeritus Professor of Tokyo Institute of Technology, Member of Science Council of Japan(SCJ).
He received his BS and MS Degrees in applied mathematical engineering from Kyoto University in 1970 and 1972. Also he received his PhD in mechanical engineering from the University of Tokyo in 1990. He worked as a researcher at the research center of Nissan Motor Co., Ltd. from April of 1972 to March of 1996. He worked as a professor Department of Mechanical Sciences and Engineering, Graduate School of Science and Engineering, Tokyo Institute of Technology(TIT)from April 1st in 1996 to 31st of March in 2012. And since april 1st, he has worked in Meiji University, Second Director, Institute for Advanced Study of Mathematical Sciences(MIMS), Professor, Organization for the Strategic Coordination of Research and Intellectual Property (Emeritus Professor of Tokyo Institute of Technology).
He is now engaged in MIMS and MIAD(Meiji university’s Institute of Autonomous Driving) as a Meiji University distinguished professor emeritus.
He is an honorary member of JSIAM(Japan Society for Industrial and Applied Mathematics), JSME(Japan Society of Mechanical Engineers),JSST(Japan Society for Simulation Technology) and JACM(Japan Association for Computational Mechanics).
He is a fellow member of ASME (American Society of Mechanical Engineers), JSAE(Society of Automotive Engineers of Japan) and ASIAIM(Asia Simulation Association).
He served as a consulting professor at Harbin Institute of Technology, P.R.Ckina. He also served as a guest professor & a consulting professor of The State Key Laboratory of Vibration, shock & Noise of Shanghai Jiao Tong University, P.R.China. And he served as a Foreign communication member of the academic committee of the state key laboratory of automotive safety and energy of Tsinghua University, P.R.China, an honorary professor of School of Mechanical Engineering on Jianjin University, P.R.China and an additional professor of Huazhong University of Science and Technology and an additional professor of Nanjing university of information & technology, P.R.China.
He is also a member of Science Council of Japan(SCJ) since March of 2006.
He received numerous awards from several academic societies at home and abroad for his various types of researches for computational mechanics, sound and vibration, machine learning, control and origami engineering. He also received Minister of Education, Culture, Sports, Science and Technology Award for his computational mechanics aided origami engineering.
He is now interested in both of origami engineering and intelligent self-driving car.
His title for the invited lecture in ICIAM 2023 is “Mathematical sciences for realization of origami engineering aided land / sea / air self-driving car with intelligence”.
The lecture will consist of origami engineering, machine learning, optimal control and control of plural eigenfrequencies.
In origami engineering, it will be shown the most splendid Japanese Kirigami honeycomb which receives very much attention because it is the best treasure trove to produce metamaterials. As far as machine learning, it will be shown his own technology FQHNN(Fuzzy Quantification method aided Holographic Neural Network) which has causal information unlike CNN(Convolutional Neural Network) which leads the third generation of machine learning. And in optimal control, it will be shown also his own method which is only one real-time optimal control method. The so-called optimal control is not used in the real car because Pontryagin’s maximum principle gives the nonlinear equation which cannot be solved in real time. He has noticed the analogy of the new optimal control theory and the nature of the solution of parabolic equations for the first time and this has contributed to pass this problem.
As far as control of plural eigenfrequencies, it is very difficult to be applied the conventional topology optimization. He has developed a new high speed and high accuracy topology change method for ride quality improvement and elimination of anxiety due to the absence of the driver in the self-driving car from observations of strain and dynamic energy distributions of each eigen frequency mode.
He is mobilizing with his lab members all of these technologies to successfully create an origami engineering aided land / sea / air self-driving car with intelligence. Here he will discuss the mathematical backbones for these techniques which successfully develop the dream land / sea / air self-driving car with intelligence.
Prof. Yasuaki Hiraoka
Yasuaki Hiraoka is a mathematician in the area of topological data analysis (TDA). He studies mathematical theory and algorithms of TDA, and also works on applying them into scientific and engineering problems. His primary interest is to develop descriptors for characterizing shape of complex and big data. By combining various mathematical theories such as topology, representation, and probability, he succeeded in making TDA powerful and general for practical problems. In applications, he has organized the materials TDA group, and his group achieved several pioneering results on structural analysis in materials science based on TDA. In particular, a series of methods developed by his group using persistent homology, machine learning, and inverse analysis are expected to be a key technology for materials informatics in future. In addition to materials science, he has recently launched TDA projects for other application areas such as life science.
Prof. Satoru Iwata
Satoru Iwata is a Professor at Department of Mathematical Informatics, University of Tokyo. He received his M.E. degree from University of Tokyo in 1993 and PhD degree from Kyoto University in 1996. His current research interests include combinatorial optimization, global optimization, and their applications to scientific computing. He shared the Delbert Ray Fulkerson Prize in 2003 for his joint work on submodular function minimization. He was also an invited speaker at the 2010 International Congress of Mathematicians. He currently serves on the editorial boards of Mathematical Programming, Mathematics of Operations Research, and SIAM Journal on Discrete Mathematics. Since 2020, he has been a Principal Investigator at Institute for Chemical Reaction Design and Discovery (ICReDD), Hokkaido University, where he works on applications of optimization and machine learning methods to chemo-informatics and computational chemistry.
Prof. Gary Froyland
Gary Froyland is Professor of Mathematics at UNSW Sydney; his fields of research cover dynamical systems and optimization. Prior to joining UNSW in 2004, he was a research scientist at BHP Billiton, where he was awarded their 2004 Innovation Prize. His dynamical systems research often focuses on ergodic-theoretic, functional-analytic, or differential-geometric aspects of dynamics, and frequently aims to answer scientific questions arising from fluid dynamics, physical oceanography, or atmospheric science. His discrete optimization research has found application to open-pit mine planning, port scheduling, and cancer radiotherapy.
He is an Einstein Visiting Fellow (2022-2024) at the Free University Berlin and is a past John von Neumann Visiting Professor at TU Munich and Visiting Scholar through the Initiative d’Excellence de l’université de Bordeaux. He is a member of the Australian Research Council’s College of Experts, an Australian Research Council Laureate Fellow (2023-2028), and a former Deputy Director of the Australian Mathematical Sciences Institute. He has given invited addresses at the 2016 SIAM Annual Meeting, the 2017 SIAM Conference on Applications of Dynamical Systems, and the 2020 SIAM Conference on Mathematics for Planet Earth. He is a SIAM Fellow and a Fellow of the Australian Academy of Science.
Prof. Alicia Dickenstein
Alicia Dickenstein is a Professor at the University of Buenos Aires and a Senior Researcher at CONICET, the National Research Council of Argentina. She is a Member of the National Academy of Exact and Natural Sciences and of the National Academy of Sciences of Argentina. She was Vice-President of the International Mathematical Union. She is an AMS Fellow and a SIAM Fellow. She holds Honorary Doctorates from UNS, Argentina, and KTH, Sweden. She received the 2015 TWAS Prize in Mathematics and a 2021 L’Oréal-UNESCO Award “For Women in Science”.
Prof. Mouhamed Moustapha Fall
Professor Mouhamed Moustapha Fall is currently the President of the AIMS Senegal Centre and an Endowed Chair of Mathematics and its Applications of the institute.
Under his leadership, the AIMS Senegal Research Centre has authored several research papers, published in internationally recognized peer-reviewed journals, and has developed several research partnerships with nationally and internationally renowned institutions.
After following the Diploma program at the International Center for Theoretical physics (ICTP) in 2005, he defended his PhD in 2009 at the Institute for Advanced Studies (ISAS/SISSA) in Italy. He then became an assistant lecturer at the Université Catholique de Louvain-La-Neuve in Belgium from 2009-2010, after which he became a Humboldt Postdoctoral Research Fellow at the Goethe-Universität Frankfurt, followed by a postdoctoral position at the Università Degli Studi di Milano-Bicocca. Since 2013, he has been the Endowed Chair of Mathematics and its Applications of AIMS-Senegal and become a full Professor at AIMS in 2018.
Moustapha has served as:
Member of the Scientific council of CIRM (Centre International de Rencontres Mathématiques), Marseille.
Member of the EMS-CDC (European Mathematical Society-Committee of Developing Countries).
Member of the Scientific board of the International Basic Science programme of UNESCO
Member of the the Executive Bureau of International Mathematical Union (IMU).
His research areas are Differential Geometry and Partial Differential Equations, with a particular focus on Isoperimetric and functional inequalities, regularity theory, nonlocal equations, and overdetermined equations. Other research interests include Mathematical modelling for socio-economic, ecologic systems, and Agent-Based modelling. His research has earned him international recognition. In 2018, Moustapha was an invited speaker at the 2018 International Congress of Mathematicians (ICM) in Rio.
Prof. Mourad Bellassoued
I completed my PhD dissertation at the University Paris 11 (Orsay) in France, under the supervision by Professor Luc Robbiano in 2000. Since 2004, I have been Full Professor at University of Carthage, Faculty of Sciences of Bizerte, Tunisia and since 2009 I have been Full Professor at University of Carthage, Tunisia. Since 2016, I have been Full Professor at University of Tunis El Manar and I am the head of the laboratory LAMSIN “Laboratoire de Modélisation Mathématique et Numérique dans les Sciences de l’Ingénieur”.
For about 20 years, I have also been involved in different research projects on inverse problems for different types of partial differential systems and especially when the classical geometrical observability condition is violated. From a theoretical point of view, I have offered contributions on different topics: inverse problems, relationships between control theory and inverse problem, and more recently the development of the Dirichlet-to-Neumann approach in mathematical physics (this subject is strongly connected to electrical impedance tomography: the medium is stimulated on the outer surface and measurement are recorded on the surface too).
Prof. Pascal Van Hentenryck
Pascal Van Hentenryck is the A. Russell Chandler III Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology and the Associate Chair for Innovation and Entrepreneurship. He is the director of the NSF AI Institute for Advances in Optimization. Several of his optimization systems have been in commercial use for more than 20 years for solving logistics, supply-chains, and manufacturing applications. His current research focuses on machine learning, optimization, and privacy with applications in energy, mobility, supply chains, and manufacturing.
Van Hentenryck is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and a fellow of the Institute for Operations Research and Management Science (INFORMS). He holds two honorary doctoral degrees and is the recipient of an NSF Young Investigator Award, the 2006 ACP Award for Research Excellence in Constraint Programming, the 2002 ICS INFORMS Award for Research Excellence at the Intersection of Computer Science and Operations Research, the IFORS Distinguished Lecturer Award, the Philip J. Bray Award for teaching excellence at Brown University, and the Teaching Excellence Award for Online Teaching at Georgia Tech. Van Hentenryck has received numerous best paper awards in multiple fields.
The International Council for Industrial and Applied Mathematics has selected Professor IIse C.F. Ipsen of North Carolina State University, USA, to deliver the Olga Taussky-Todd Lecture at the International Congress on Industrial and Applied Mathematics, ICIAM 2023, in Tokyo, Japan. This Congress is the most important international event in applied and industrial mathematics, held once every four years under the auspices of the International Council for Industrial and Applied Mathematics.
Ilse Ipsen is an applied mathematician whose pioneering work, from the outset, has been aimed at advancing the foundations and applications of numerical linear algebra. Her publications and presentations are distinguished by crystal clear exposition and exceptional attention to detail.
Ilse Ipsen’s early work was at the forefont of designing matrix algorithms for implementation on VLSI special purpose architectures as well as general purpose parallel machines. She has worked on inverse iteration for computing eigenvectors; solution of nonsymmetric linear systems via Krylov methods; perturbation theory for linear systems; and eigenvalue and singular value problems with application to nonlinear problems. She established the class of multiplicative perturbations which have become instrumental in the analysis of high accuracy matrix computations; and established an algorithmic classification that lead to the development of high accuracy rank revealing QR algorithms.
Ilse Ipsen is well known for her work on the Google PageRank algorithm, often described as “the world’s largest matrix problem”. In collaboration with physicists, she tackled the notoriously difficult numerical computation of characteristic polynomials, which are required in nuclear lattice simulations and the study of fermions.
More recently, she has been instrumental in introducing probability theory and statistics into numerical linear algebra for: the design and analysis of fast randomized least squares/regression algorithms in the context of large-scale data science problems; statistical roundoff error analysis for realistic bounds in the context of emerging mixed and low precision processors; and probabilistic numeric linear solvers that generate probability distributions for propagating numerical errors through computational pipelines.
Professor Ipsen received a Bachelor’s degree from the University of Kaiserslautern, Germany; and a Ph.D. from The Pennsylvania State University, USA, both in Computer Science. After 10 years on the Computer Science faculty at Yale University, she is now a Professor of Mathematics at North Carolina State University, USA.
Awards and honors
Professor Ipsen is a Fellow of the American Association for the Advancement of Science, and a Fellow of the Society for Industrial and Applied Mathematics.
The Olga Taussky-Todd Lecture
The Olga Taussky-Todd Lecture is one of the invited lectures at the International Congress on Industrial and Applied Mathematics. This honour is conferred on a “woman who has made outstanding contributions in applied mathematics and/or scientific computation”. The lecture is named in tribute to the memory of Olga Taussky-Todd, whose scientific legacy is in both theoretical and applied mathematics, and whose work exemplifies the qualities to be recognized. The Olga Taussky-Todd Lecture series was inaugurated in 2007 with a lecture by Pauline van den Driessche at ICIAM 2007 in Zurich. The lecturers since then have been Beatrice Pelloni (Vancouver, 2011), Éva Tardos (Beijing, 2015), Françoise Tisseur (Valencia, 2019), and Ilse Ipsen (Tokyo, 2023).
The Olga Taussky-Todd Lecture for ICIAM 2023
Lecturers are selected by a committee established by the ICIAM President, with advice from the Association for Women in Mathematics and European Women in Mathematics. Nominations are solicited from the mathematical sciences community. The Committee for the 2023 Lecture consisted of
This is a brochure or a booklet for ICIAM2023. This is produced by Springer-Nature and is provided by the ICIAM2023 organizing committee. It is free of charge and meant to be read for fun.
Tokyo is one of the world’s largest cities offering visitors a uniquely eclectic mix of traditional and contemporary attractions. The city has something for everyone. Its cleanliness and safety are well-known and it is full of attractions, historic and modern. During every visit to the city, there is a new and exciting discovery. From the famous cat café to ancient shrines, to designer shops and traditional restaurants, there are numerous places to visit and enjoy.
Many research laboratories of various companies are located in Tokyo. For instance, Hitachi Research & Development Group has the Global Center for Social Innovation – Tokyo, and its Collaborative Creation Space. The Toshiba Science Museum is also located in the Greater Tokyo area. ICIAM participants will have the opportunity to visit them and discuss mathematical topics with researchers in industry.
A metropolis full of attractions like no other
Tokyo is known as one of Asia’s most modern cities, but traditions and cultures passed down from the Samurai period can still be seen and experienced. The city is a fast-paced cultural hub where what’s new and modern sits alongside historical gems. Tokyo offers visitors a uniquely eclectic mix of traditional and contemporary attractions, including world-renowned, exceptional Japanese cuisine.
Delicious, delicate, and diverse cuisines
Tokyo is without doubt one of the world’s gourmet paradises. Guests will be overwhelmed by the sheer range of choices for dining, with 100,000 restaurants offering tempting delights from around the world. In addition, you can experience the finest restaurants and highest culinary standards in the world. Of course, there is no better place in the world to enjoy sushi, tempura, sukiyaki and other traditional delicacies, and to experience authentic Japanese flavors.
Shopping
There are countless opportunities for visitors to shop for the beautiful and innovative products for which
Japan is world-famous: exquisite green teas and traditional sweets, attractive lacquerware and textiles
as well as fashion, from the classic to the avant-garde, in addition to state-of-the-art electronics products. Crossing through the Ginza shopping district, home to the biggest brand-name stores, the oldest department store in the world, and the Sony building, leads to Akihabara’s “Electric Town”, where multi-storied mega-stores and backstreet specialist shops deal in the latest electronics and coolest pop-culture
trends.
Tokyo at night
As dusk falls, Tokyo is transformed into a city of bright lights. Many observation decks in towers
and tall buildings are open till late, providing great vantage points for lovely night views. An
evening stroll through the streets of Shinjuku, Ginza or Shibuya – Tokyo’s best-known
nightlife districts – is a great way to see the city after dusk and enjoy the myriad of neon lights.
Visitors who want to “act like the locals” can enjoy the izakaya (local pubs) for a Japanese beer and yakitori (grilled chicken on a skewer) or visit a karaoke lounge for their own private sing-athon party. Guaranteed fun stories for the folks back home!
Arts & culture, traditional themes
Tokyo has dozens of museums spanning nearly every topic and interest with many offering glimpses into Japan’s rich and diverse history. For the more contemporary minded, there is an impressive number of smaller museums and galleries showcasing home-grown artists. Ueno Park is the most famous spot with various museums gathered in one area and we recommend visiting there if you are interested in arts and culture.
If you want to know more about Japanese traditional culture such as Kabuki, Noh and Sumo, there are various
places in Tokyo where you can encounter them.
Overall Affordability
Tokyo offers quality goods and services suited for all budgets, and participants are sure to find good value for money. Although Tokyo used to be recognized as one of the most expensive cities in the world, prices are no longer high compared with other big cities. The Starbucks index shows that a Starbucks latte in Japan costs less than in other global mega cities such as Paris, Sydney, Beijing and Seoul.
Subway fare
A single Tokyo Metro fare of less than USD 3 will get you to most destinations within central Tokyo. The city’s subway and railway services are among the best in the world; they are not only inexpensive but also frequent, reliable and clean, and have multilingual signs.
Meals
To satisfy the demanding taste buds of locals and international visitors, restaurants, cafes and bars strive to serve quality food and drinks at affordable prices.
Direct flights to Narita and Haneda are the most common ways to access the country. Once you arrive, you can jump on an express train or Limousine bus that will transport you into the heart of the city. Please check these pages on Narita Airport and Haneda Airport for more information.
We asked Waseda University Academic Solutions Corporation(WAS) to offer flight reservation support. **Registration is closed. (May 31,2023)
Special information desks for ICIAM 2023 participants at Narita & Haneda airports
Special information desks will be placed at the airports to be a one-stop information counter for international delegates arriving in Tokyo. You are welcome to ask how to get to the venue and your hotel. The desks have the logo of ICIAM 2023. Operated by Tokyo Convention & Visitors Bureau.
Dates: August 19(Sat.) and 20 (Sun.) 8:00-20:00
Location:
1. Narita Airport Terminal 1, 1F International Arrival Lobby, near Central Exit
2. Narita Airport Terminal 2, 1F International Arrival Lobby, near Central Exit
3. Haneda International Airport, 2F Arrival Lobby, Meeting Service Counter
Narita Terminal1/2: Both are located in the center of the Arrival Lobby (1F)
Haneda International Passenger Terminal: Arrival Lobby (2F)
Tokyo offers more than 96,000 rooms ranging from budget hotels to five-star luxury hotels, assuring friendly, high-quality service for guests. There are more than 6,000 rooms within 30 minutes by local transportation and/or walking distance to the venue.
Hotels in Tokyo during the conference are expected to be crowded. We encourage you to make hotel reservations by yourself as soon as possible.
List of Candidate Hotels
The following table shows typical examples of candidate hotels.
List of Special Discount Rooms offered by WAS*Registration is closed.(May 31,2023)
We asked Waseda University Academic Solutions Corporation (WAS) to keep rooms with special discount rate. Here, as a subsidiary of Waseda University, Waseda University Academic Solutions has provided solutions necessary for university management for many years. If you want to reserve these rooms, please contact Waseda University Academic Solutions after carefully reading the cancelation policy with your own responsibility.
Cancellation Policy （ICIAM TOKYO 2023 Booking hotels）
1．A cancellation fee will be charged for entire room cancellations, reduction of nights, and reduction of rooms from June 15,2023 (Japan Standard Time). The cancellation fee is the full amount of the cancelled stay.
2. Please contact WAS (Waseda University Academic Solutions) by email to inform us of any accommodation cancellation and change of stay date. Email to: was-event3@w-as.jp
3．After June 15 (Japan Standard Time), a change of stay date, hotel, number of persons,room type, or meals will require a change fee of 1,500 JPY each time.
Information about Entering Japan for international participants
<From October 11, 2022> Regarding new entry of foreign nationals into Japan, based on the New Border Measures (34) dated on September 26, 2022, prescribed applications in the Entrants, Returnees Follow-up Systems (ERFS) is no longer required. In addition, the measure to limit the entry of foreign tourists to those on package tours was lifted. Furthermore, visa exemption arrangements will be resumed from 0:00 am (JST) on October 11, 2022. Please refer to 5. Suspension of visa exemption measures for more details.
The Tokyo Metropolitan Government will offer the following complimentary tours and cultural programs for overseas guests of ICIAM 2023. These tours will take them to the main tourist sites in Tokyo during the Congress, and cultural programs will offer outstanding exotic experiences (the tour courses and cultural programs are subject to change).
Tokyo City Tour – Half-day Tour
Entry to Tokyo City Tour
Overseas participants who wish to participate in the Tokyo City Tour should click here.
List of Tours
Meiji Jingu Shrine & New National Stadium Japan
Meiji shrine is located near Harajuku station. You can enjoy the fresh air of nature and the beautiful palace. There are worshipers from all over the country, and the number of worshipers at Hatsumode (the first visit to a shrine or temple in the new year) is the highest in Japan. The vast site of about 700,000 square meters is planted with about 100,000 trees collected from all over the country.
TOKYO SKYTREE & Solamachi shopping
Visit one of Tokyo’s must-see destinations, the world’s tallest free-standing broadcasting tower. You can also enjoy the 300-odd shops and restaurants at the foot of the tower, collectively known as Tokyo Solamachi. This area strives to embrace new trends while preserving the atmosphere of old Tokyo.
Tokyo night tour
This tour visits popular sightseeing spots like Tokyo Tower, Rainbow bridge, Odaiba, Ginza, and TOKYO SKYTREE, with impressive night views. You can enjoy a dynamic sightseeing experience that differs greatly from the daytime scenery.
Tokyo Tower & Hama-rikyu Gardens
Opened in 1958, the 333-meter-high Tokyo Tower is still loved by people as a symbol of Tokyo. Visitors can enjoy a walk in the beautifully preserved garden that the family of the ruling Tokugawa Shogun owned from the 17th to the mid-19th century, where they used to go hunting with falcons.
Tokyo River Cruise
This boat trip through the Sumida River takes you under as many as 14 bridges and shows you the sights of Tokyo. The highlight of the boat trip is the dynamic view of the city from the perspective of the water.
Please enjoy this exhilarating boat trip and the spectacular views only Tokyo can offer.
teamLab Planets TOKYO
teamLab Planets is a museum where you walk through water and a garden and become one with flowers. There are four massive exhibition spaces and two gardens. Enter barefoot, immerse your body in the artwork spaces, and become one with the world.
Asakusa retains the atmosphere of the old Tokyo townscape, and Nakamise-dori, in front of Sensoji Temple, has many traditional crafts and Japanese sweets shops.
Cultural Programs
The Tokyo Metropolitan Government will offer the following complimentary cultural programs for delegates and accompanying persons to experience first-hand the unique culture of Japan.
Origami
Origami, literally meaning “folding paper”, is a traditional Japanese art of transforming a flat square sheet of paper into a finished sculpture. You can create almost anything with origami, from a simple airplane to flowers and animals. The most popular origami is a Japanese crane.
Furoshiki
Furoshiki is a wrapping cloth that the Japanese have used since the Edo period (1603-1868). This piece of cloth can be transformed into any shape with a single knot. This traditional Japanese cultural item is ideal for SDGs and allows participants to learn about the ancient Japanese practice of taking good care of one’s possessions.
Applications for Childcare have been closed. Thank you very much.
ICIAM is pleased to offer childcare services at the ICIAM 2023 Tokyo. For details on the childcare and a registration form, visit: here. Please register for the childcare services by July 14th. Space is limited, so early registration is recommended [Aug. 22, 23 and 24 are full].
Please contact childcare@iciam2023.org if you have any questions about the childcare services or the registration process.
The AMS, founded in 1888 to further the interests of mathematical research and scholarship, serves the national and international community through its publications, meetings, advocacy and other programs, which
promote mathematical research, its communication and uses,
encourage and promote the transmission of mathematical understanding and skills,
support mathematical education at all levels,
advance the status of the profession of mathematics, encouraging and facilitating full participation of all individuals,
foster an awareness and appreciation of mathematics and its connections to other disciplines and everyday life.
SIAM (Society for Industrial and Applied Mathematics)
SIAM fosters the development of applied mathematical and computational methodologies needed in various application areas. Applied mathematics, in partnership with computational science, is essential in solving many real-world problems. Through publications, research and community, the mission of SIAM is to build cooperation between mathematics and the worlds of science and technology.
CSIAM (China Society for Industrial and Applied Mathematics)
The China Society for Industrial and Applied Mathematics (CSIAM) is a non-governmental organization founded in 1990. With over 30 years of development, CSIAM serves as the central organization for industrial and applied mathematicians in China, with 20,000+ individual members and 100+ institutional members nationwide. It comprises 16 working committees and 22 activity groups across various fields. CSIAM aims to foster applied mathematical development and promote cooperation among mathematicians, engineers, scientists, and corporate managers. As a large full member of ICIAM, CSIAM actively supports and participates in global activities, including holding ICIAM 2015 in Beijing.
UESTC (University of Electronic Science and Technology of China)
The University of Electronic Science and Technology of China (UESTC) is one of the leading research Universities of China located in Chengdu, China. The UESTC is a multidisciplinary research university that covers the whole electronic information discipline with electronic science and technology as its nucleus, and engineering as major strength. our featured discipline Electronic Science ranks NO.7 worldwide, Computer Science No. 19 and Engineering No. 46 worldwide as top 1‰ in the newest ESI. Also,UESTC is renowned in Physics, Mathematics, Chemistry, Material Science, Neuroscience and Behavior, Biology and Biochemistry, Clinical Medicine, Environment/Ecology, Plant & Animal Science, Geosciences, and Psychiatry/Psychology(top 1% in the ESI).
MathWorks
The MATLAB and Simulink product families are fundamental applied math and computational tools at the world’s educational institutions. Adopted by more than 6,500 universities and colleges, MathWorksproducts accelerate the pace of learning, teaching, and research in engineering and science. MathWorks products also help prepare students for careers in industry worldwide, where the tools are widely used for data analysis, mathematical modeling, and algorithm development in collaborative research and new product development. Application areas include data analytics, mechatronics, communication systems, image processing, computational finance, and computational biology.
TCVB (Tokyo Convention & Visitors Bureau)
Tokyo Convention & Visitors Bureau (TCVB) is the official destination marketing and management organization for Tokyo. Its goal is to build economic prosperity and support community development through tourism. It effectively market the city and communicate the ever-evolving image of Tokyo to global audiences in the aim of attracting visitors and business events. This is achieved through the coordinated group efforts of community, partners, and staff working together.
Elsevier
Elsevier is a global leader in information and analytics that helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.
DFG / DWIH Tokyo (Deutsche Forschungsgemeinschaft, German Research Foundation), (Deutsches Wissenschafts- und Innovationshaus Tokyo)
The DFG is the largest independent research funding organization in Germany. It serves all branches of science and the humanities by funding research projects. It takes particular care to promote international cooperation, early career researchers, gender equality and diversity in science and the humanities.
DWIH Tokyo is a platform for German research and innovation in Japan. With its unique network of German organizations from science, research and innovation, it holds numerous events throughout the year, connecting stakeholders from Japan and Germany.
The DFG and DWIH Tokyo welcome you at the virtual or on-site booth!
EMS (European Mathematical Society)
The European Mathematical Society is the learned society for mathematicians throughout Europe. It promotes the development of mathematics in Europe, in particular research, relations to society, relations to European institutions, and mathematics education. The EMS is a not-for-profit organisation with memberships of around 60 national societies in Europe, 50 research centres and departments, and 3000 individuals.
EMS Press is the publishing house of the European Mathematical Society, having a portfolio of more than 20 peer-reviewed journals and a growing catalogue of over 200 books. It publishes high-quality research for both the European and global mathematics community, while committing to delivering fair and sustainable open access.
CoCalc by SageMath, Inc. (CoCalc: Collaborative Calculation and Data Science)
CoCalc enables access to open-source tools, emphasizing real-time collaboration and continued access. That way, you can collaborate via your web browser while using Jupyter Notebooks, Linux Terminal, LaTeX/Markdown, X11 Graphical Desktop, VS Code, Course Management System with auto-grading, and even a computational whiteboard environment.We eliminate the installation and package maintenance issues often associated with open-source software like Python and provide flexible cloud compute resources via our Google Cloud cluster at cocalc.com as well as on-premise installations on your own local hardware/server using CoCalc Docker, or a Kubernetes instance with CoCalc Cloud.
Springer
Springer is a leading global scientific, technical and medical portfolio, providing researchers in academia, scientific institutions and corporate R&D departments with quality content through innovative information, products and services. Springer has one of the strongest STM and HSS eBook collections and archives, as well as a comprehensive range of hybrid and open access journals. As part of Springer Nature, Springer sits alongside other trusted brands like Nature Portfolio, BMC and Palgrave Macmillan. Visit springer.com and follow @SpringerNature.
ICIAM 2027 – The Hague
ICIAM 2027 will be held from 12 – 16 July in The Hague, The Netherlnds. Come to booth # 12 and meet members of the local team for ICIAM 2027.
Timetable
Schedule
Date
Congress
Exhibition
Aug. 21, Mon.
09:20-19:20
13:00-18:30
Aug. 22, Tue.
08:30-19:20
09:00-18:30
Aug. 23, Wed.
08:30-19:20
09:00-18:30
Aug. 24, Thu.
08:30-19:20
09:00-18:30
Aug. 25, Fri.
08:30-17:40
09:00-16:00
Local Booth Setup/Dismantling Times
Date
Activity
Time
Aug. 21, Mon.
Local Booth Setup
09:00-13:00
Aug. 25, Fri.
Local Booth Dismantling
16:00-19:00
(Closed) How to apply to exhibit?
The exhibition at ICIAM 2023 Tokyo aims to give companies, academic societies, and other organizations the opportunity to showcase their products and services to over 4,000 attendees. ICIAM 2023 Tokyo expects participants to visit onsite (Waseda University), as well as online. We therefore offer an advertising program that works for both forms of participation.
(Closed) Important Notice
Closing date: May 20, 2023 (We finished accepting applications.)
There are two types of local booths and one online booth. The difference between the two types of local booths is only in their location; there is no difference in their function.
A single local booth measures 3×2 m with a modular structure, a table, 2 chairs, and an electrical plug. Local booths can only be visited by participants who visit onsite. A limited number of single booths are available.
A single online booth, provided by Zoom Events. Online booths can be advertised over Zoom, and in PDF files, etc. All participants will receive a ticket to access the online venue, allowing them to visit your online booth. Online participants are more likely to attend talks hosted by Zoom Events, increasing the likelihood of visits to your booth. However, it is uncertain whether local participants will choose to visit the online venue.
Web bannar: we will place your logo and link as a web banner in appropriate places on the convention webpage.
Platinum Booth Plus: JPY 600,000
A Single Local booth in a good location
A Single Online booth
Web banner (company’s logo and link on the conference web pages)
Two free registrations for the congress
Platinum Booth: JPY 500,000
A Single Local booth in a good location
A Single Online booth
Web banner (company’s logo and link on the conference web pages) * Registration fee not included.
Gold Booth Plus: JPY 450,000
A Single Local booth
A Single Online booth
Web banner (company’s logo and link on the conference web pages)
Two free registrations for the congress
Gold Booth: JPY 350,000
A Single Local booth
A Single Online booth
Web banner (company’s logo and link on the conference web pages) * Registration fee not included.
Online Booth Plus: JPY 300,000
A Single Online booth
Two free registrations for the congress
Web banner (company’s logo and link on the conference web pages)
Online Booth: JPY 200,000
A Single Online booth
Web banner (company’s logo and link on the conference web pages) * Registration fee not included.
Web banner: JPY 100,000
Web banner (company’s logo and link on the conference web pages)
A minisymposium is composed of one or a few sessions (up to three sessions) of coordinated presentations on a single topic of interest and importance in industrial and applied mathematics. Each session within a minisymposium should include four presentations in two hours 100 minutes. Each speaker should be allotted 25 minutes20 minutes for their presentation, with an additional 5 minutes for discussion.
An “industrial minisymposium” is a form of a minisymposium whose main objective is to visualize the current situation/state of industrial mathematics transfer around the world through the presentation of successful real-world collaborations with industry. The structure of an industrial minisymposium is the same as that of a standard minisymposium. For details, see the section “Industrial Minisymposia”.
Prospective minisymposium organizers are asked to submit a proposal consisting of a title, a description (not to exceed 100 words), and a list of speakers and titles of their presentations, using the online submission form at the ICIAM 2023 webpage: https://iciam2023.org/1225
The Local Scientific Program Committee will referee all minisymposium proposals. Upon acceptance of the proposal, each minisymposium speaker will be asked to submit a 75-word abstract.
To ensure balance, ICIAM 2023 prefers that a single individual not be the organizer of more than one minisymposium. In addition, ICIAM 2023 discourages minisymposia in which most of the speakers come from the same organization or if all co-authors on the papers being presented in a minisymposium are from the same organization.
Important Dates
All deadlines are at midnight AoE (Anywhere on Earth).
Submissions open on April 1, 2022
Closing date for submissions of proposals: December 23, 2022February 20, 2023
Acceptance notification for proposals: within one month after submission of each proposal
Closing date for submissions of abstracts from speakers: March 15, 2023April 20, 2023
Registration fees for speakers are due on July 20, 2023 (Speakers who have not registered at that date will have their talks removed from the program.)
The schedule of minisymposia is planned to be made available from May – June, 2023.
Important Notices
Limitation of the number of talks by each participant: Each participant is limited to presenting at most one talk during the congress (ICIAM 2023), including talks in contributed talks, this is in order to provide the opportunity for everyone to present their research. Note that talks in industrial minisymposia and industrial contributed talks as well as invited talks are excluded from this limitation. If you are invited to speak in more than one minisymposium, we suggest you use the opportunity to nominate a colleague or student to speak about your work.
Conference format: In principle, ICIAM 2023 will be held in a hybrid conference format, i.e., a session in a minisymposium may mix on-site and online talks. If the situation demands, we will switch the conference format to an online format. Even if that is the case, ICIAM 2023 will not reimburse any expenses including travel expenses and hotel charges of participants.
No exemption from payment of registration fee: ICIAM 2023 will not be able to waive the registration fee for minisymposium organizers and speakers, or reimburse their expenses. Therefore, minisymposium organizers should make no financial commitments on behalf of ICIAM 2023 when organizing their minisymposium.
Submission
Proposals for ICIAM 2023 minisymposia can be submitted via here.
Organizing a Minisymposium
Those interested in organizing a minisymposium should submit a proposal to the Local Scientific Program Committee by no later than the due date. Organizers will select the topics to be addressed, obtain speakers for those topics, decide with each speaker on the title of his/her presentation, and provide other information as needed. Organizers are especially encouraged to include speakers from more than one country and from underrepresented groups, including women and minorities, whenever appropriate.
A minisymposium may have up to four organizers, who can also be speakers, and chair the sessions. In conducting the minisymposium, one of the session organizers should provide an overview of the minisymposium, introduce the speakers, and provide an opportunity for discussion among the speakers and the audience.
Prospective minisymposium organizers should seriously consider the following recommendations when selecting speakers in a minisymposium:
Speakers should be selected primarily for their current contributions to the topic area.
Speakers should be as representative of researchers in the area as is practical.
Minisymposium organizers should select the first speaker who can provide an overview of the topic area, put the whole area in perspective, particularly regarding applications, and suggest new venues for sustainable research and applications. It is recommended that one of the minisymposium organizers becomes the first speaker.
Guidelines for Preparing a Minisymposium Proposal
Only one of the minisymposium organizers will be the contact person with the organization. The contact person should fill out the online submission form and provide the following information:
Contact person: Provide full name, title, affiliation, address, and e-mail address. All correspondence regarding the minisymposium will be sent to the e-mail address of the contact person.
A minisymposium can have up to four organizers. When filling out the online submission form, please assign a contact person.
Title of the minisymposium: Describe the subject of your minisymposium as accurately and specifically as possible in no more than ten words.
Abstract: Describe your minisymposium in no more than 100 words. The summary should be written to attract those who specifically work on your topic as well as those who work in related areas. It is suggested that you explain the problem area to be addressed by the speakers and why it is important in significant applications; identify current directions of research and methods being developed to solve problems, including their advantages and shortcomings; and describe the scope of your minisymposium.
Speakers: Provide full name, affiliation, country, and e-mail address of each speaker and the title of their presentation.
For industrial minisymposia: Provide at most three key words. One IMA option must be selected. At most two items in the list of Economic Activities and/or Societal Challenges may be selected.
Industrial Minisymposia
As mentioned above, an industrial minisymposium is a form of a minisymposium. The term ‘industry’ is used, in a broad sense to denote all kinds of business and commercial firms with economic activity and non-profit R&D organizations with activities outside the realm of education and academic research (including financial institutions, public administrations, and hospitals). The participation of speakers from industrial fields is encouraged.
Industrial minisymposia will be structured in accordance with “Economic Activities of Industrial or Business Interest” and “Societal Challenges”. In addition, the proposals should focus on one (and only one) of the following Industrial Mathematics Aspects (IMA):
IMA-1. Success stories developed under memorandum of understanding, contract, or competitive projects with industrial support.
IMA-2. Case studies including initiatives such as study groups with industry, modelling weeks, industry days, master thesis, PhD thesis, etc.
IMA-3. Education.
IMA-4. Worldwide infrastructures to promote collaborations between industry and academia.
IMA-5. Other
Economic Activities of Industrial or Business Interest
EA-1. Agriculture and Fishing
EA-2. Biomedicine and Health Care
EA-3. Construction
EA-4. Chemical and Pharmaceutical Industry
EA-5. Economy and Finance
EA-6. Electronics
EA-7. Energy and Environment
EA-8. Food
EA-9. Information and Communication Technology
EA-10. Logistics and Transport
EA-11. Materials
EA-12. Mechanics and Mechatronics
EA-13. Public Administration and Defense
EA-14. Service Management
EA-15. Textiles, Clothing and Footwear
EA-16. Other
Societal Challenges
SC-1. Health, demographic change and well-being
SC-2. Food security, sustainable agriculture and forestry, marine and maritime and inland water research, and the Bioeconomy
SC-3. Secure, clean and efficient energy
SC-4. Climate action, environment, resource efficiency and raw materials
SC-5. A changing world ‐ inclusive, innovative and reflective societies
SC-6. Secure societies – protecting freedom and security
SC-7. Other
Call for Contributed Talks
What is a Contributed Talk
Contributed talks in lecture format are invited in all areas consistent with the congress themes covering topics in industrial and applied mathematics. A contributed talk is a 15-minute oral presentation, with additional 5 minutes for discussion. Those intending to participate in a contributed talk at ICIAM 2023 must submit the title of their presentation, together with a brief abstract (not to exceed 75 words), using the online submission form at the ICIAM 2023 webpage: https://iciam2023.org/1225
An “industrial contributed talk” is a form of a contributed talk whose main objective is to visualize the current situation/state of industrial mathematics transfer around the world through the presentation of successful real-world collaborations with industry. For details, see the section “Industrial Minisymposia”.
The Local Scientific Program Committee will referee all submitted abstracts of presentations. Accepted presentations will be grouped into two-hour sessions based on their subjects.
Important Notices
Limitation of the number of talks by each participant: Each participant is limited to presenting at most one talk during the congress (ICIAM 2023), including talks in minisymposia. This is in order to provide the opportunity for everyone to present their research. Note that talks in industrial minisymposia and industrial contributed talks as well as invited talks are excluded from this limitation.
Conference format: In principle, ICIAM 2023 will be held in a hybrid conference format. If the situation demands, we will switch the conference format to an online format. Even if that is the case, ICIAM 2023 will not reimburse any expense including travel expenses and hotel charges of participants.
All deadlines are at midnight AoE (Anywhere on Earth).
Submissions open on: April 15, 2022
Closing date for submissions: December 23, 2022February 20, 2023
Notification of decisions: within two months after submission of each proposal
Registration fees for speakers are due on July 20, 2023 (speakers who have not registered by that date will have their talks removed from the program.)
Submission
Proposals for ICIAM 2023 contributed talks can be submitted via here.
Industrial Contributed Talks
As mentioned above, an “industrial contributed talk” is a form of a contributed talk. The term ‘industry’ is used in a broad sense to denote all kinds of business and commercial firms with economic activity and non-profit R&D organizations with activities outside the realm of education and academic research (including financial institutions, public administrations, and hospitals).
Industrial contributed talks will be structured in accordance with “Economic Activities of Industrial or Business Interest” and “Societal Challenges”. In addition, the proposals should focus on one (and only one) of the following Industrial Mathematics Aspects (IMA):
IMA-1. Success stories developed under memorandum of understanding, contract, or competitive projects with industrial support.
IMA-2. Case studies including initiatives such as study groups with industry, Modelling Weeks, Industry Days, master thesis, PhD thesis, etc.
IMA-3. Education.
IMA-4. Worldwide infrastructures to promote collaborations between industry and academia.
IMA-5. Other
Economic Activities of Industrial or Business Interest
EA-1. Agriculture and Fishing
EA-2. Biomedicine and Health Care
EA-3. Construction
EA-4. Chemical and Pharmaceutical Industry
EA-5. Economy and Finance
EA-6. Electronics
EA-7. Energy and Environment
EA-8. Food
EA-9. Information and Communication Technology
EA-10. Logistics and Transport
EA-11. Materials
EA-12. Mechanics and Mechatronics
EA-13. Public Administration and Defense
EA-14. Service Management
EA-15. Textiles, Clothing and Footwear
EA-16. Other
Societal Challenges
SC-1. Health, demographic change and wellbeing
SC-2. Food security, sustainable agriculture and forestry, marine and maritime and inland water research, and the Bioeconomy
SC-3. Secure, clean and efficient energy
SC-4. Climate action, environment, resource efficiency and raw materials
SC-5. A changing world ‐ inclusive, innovative and reflective societies
SC-6. Secure societies – protecting freedom and security
SC-7. Other
Call for Posters
Contributed presentations in poster format are invited in all areas consistent with the congress themes.
The author that intends to present a poster at ICIAM 2023 must submit a title and a brief abstract not to exceed 75 words using the online submission form.
Submission
Contributed presentations in poster format can be submitted via here.
Categories
Onsite poster presentation submission has two categories: Applied Mathematics and Industrial Mathematics.
Posters: Applied Mathematics
Presentations covering topics in Mathematics and its Applications.
Posters: Industrial Mathematics
Presentations aimed at visualizing the current situation/state of industrial mathematics transfer around the world through successful real-world collaborations with Industry. The term Industry is used in a broad sense to denote all kinds of business and commercial companies with economic activity and non-profit R&D organizations with activities outside the realm of education and academic research, including financial institutions, public administrations and hospitals.
Even if you give an oral talk in the congress, you can submit one poster for Applied Mathematics and one poster for Industrial Mathematics, respectively.
Important Dates
All deadlines are at midnight AoE (Anywhere on Earth).
Submissions open on January 10, 2023
Closing date for submissions: April 20, 2023
Acceptance notification: within two weeks after submission
Call for Embedded Meeting
The organizers of the ICIAM 2023 Tokyo Congress are pleased to launch the call for proposals of embedded meetings. Embedded meetings are those held during the week of the ICIAM Congress and which share resources with the main ICIAM Congress. Participants of an embedded meeting are required to register as ICIAM 2023 participants, and the program of an embedded meeting will be organized as an ICIAM 2023 session.
If you are interested in organizing an embedded meeting, please contact Prof. Takeshi Ogita, Chair of the Satellite & Embedded Meetings Committee, at meetings-committee@iciam2023.org. Please include a brief description of the event, including the following information:
The scope and content of the meeting
Chairperson of the Local Organizing Committee (who will work in liaison with the organizers of the proposed embedded meeting and the organizers of ICIAM 2023)
The estimated number of participants
The estimated number of speakers
The URL of the web page of the proposed meeting (if available)
Feel free to contact us with tentative information for meetings that are not yet fully planned. This information will be useful to others planning related meetings. A notification of acceptance/rejection will be sent to the contributors within two months after submission.
Submissions open on: August 26, 2021
Closing date for submissions: November 1, 2022
Notification of decision: within two months after submission
Call for Satellite Meeting
The organizers of the ICIAM 2023 Tokyo Congress are pleased to launch the call for proposals of satellite meetings. Satellite meetings are those held within a few weeks of ICIAM 2023 on a topic of interest to ICIAM attendees in a location that makes it convenient for ICIAM participants to combine events into a single trip. Satellite meetings have no official connection to ICIAM beyond a cross listing on the ICIAM 2023 webpage.
Satellite meetings are to be organized and run by independent organizations or groups, and accepted proposals will be registered as ICIAM Satellite meetings. The organizers of the satellite event shall mention in the web page of the meeting that it is a registered satellite meeting. However ICIAM does not provide any financial or other support for satellite meetings.
If you are interested in organizing a satellite meeting, please contact Prof. Takeshi Ogita, Chair of the Satellite & Embedded Meetings Committee, at meetings-committee@iciam2023.org. Please include a brief description of the event, including the following information:
The full name (including any abbreviations) of the proposed meeting
The scope and content of the meeting
Chairperson of the Local Organizing Committee (who will work in liaison with the organizers of the proposed satellite meeting and the organizers of ICIAM 2023)
The estimated number of participants
Venue and Dates
The URL of the web page of the proposed satellite meeting (if available)
Feel free to contact us with tentative information for meetings that are not yet fully planned. This information will be useful to others planning related meetings. A notification of acceptance/rejection will be sent to the contributors within one month after submission.
Submissions open on: August 26, 2021
Closing date for submissions: November 1, 2022 April 20, 2023
Notification of decision: within one months after submission
Minisymposium : Submission of a Talk in Minisymposium
Contributed Talk : Submission of a Contributed Talk
Poster : Submission for Poster Session
Announcement
System maintenance : January 11, 2023 04:00-07:00 (UTC+0)
All users will not be able to access the submission system. We appreciate your patience and sincerely apologize for any inconvenience caused.
This program is addressed to researchers of any nationality and professional situation needing financial support to attend the ICIAM 2023 Tokyo Congress. Grants will be awarded by the Financial Support Committee.
Preference will be given to applicants who plan to give a presentation (oral and poster) at the congress.
For the detail, please click on the above.
You can apply both of them.
Note that there are possibilities that an application for a registration fee (FS1) is accepted but that for a travel fee (FS2) is rejected due to many requests. Even in such a case, the presentation should not be canceled, since the presentation can be given online.
This program is addressed to researchers of any nationality and professional situation needing financial support for the registration fee to attend the ICIAM 2023 Tokyo Congress. Grants will be awarded by the Financial Support Committee. Preference will be given to applicants who plan to give a presentation (oral and poster) at the congress.
Application open : December 1, 2022
Closing date for the submission : February 20, 2023
Date to start notification of decisions : December 1, 2022
Date to terminate notification of decisions : April 10, 2023
Note that there are possibilities that an application for a registration fee (FS1) is accepted but that for a travel fee (FS2) is rejected due to many requests. Even in such a case, the presentation should not be canceled, since the presentation can be given online.
For any other queries or comments, please contact to financial_support@iciam2023.org.
Required Materials to Apply for Support
To apply for a grant, the applicant should submit the following information:
Personal data (full name, nationality and email address) and professional data (work center, department, company/institution, address, city and country)
A brief description (max. 200 words) of the applicant’s scientific and technological interests, as well as goals and expectations in attending ICIAM 2023. Here, the applicant should also declare the impossibility of
getting other sources of funding.
A short curriculum vitae (max. 400 words) including present status, qualifications obtained and relevant activities carried out in the context of industrial and applied mathematics.
Two recommendation letters from specialists in Industrial and Applied Mathematics (pdf format) including their full professional and contact data. The files must be named as SurnameName_RL1.pdf and SurnameName_RL2.pdf.
For Master and Ph.D. students: an official certificate or document (pdf format) provided by the school to prove current enrollment. The files must be named as SurnameName_OC.pdf.
Contact data of the head of the Department/Faculty of the applicant’s institution. The files must be named as SurnameName_CD.pdf.
This program is addressed to researchers of any nationality and professional situation needing financial and travel support to attend the ICIAM 2023 Tokyo Congress. Grants will be awarded by the Financial Support Committee. Preference will be given to applicants who plan to give a presentation (oral and poster) at the congress.
The Grant Covers:
Registration Fee：
Free for accepted applications
TRAVEL:
Flight tickets from your working country to Tokyo (economy class only) will be booked and paid by the organization of ICIAM 2023 Congress. For a person living in Japan, the fee for the Shinkansen is also covered.
ACCOMMODATION:
Accommodation expenses in hotels and residences will be booked and paid by the organization of ICIAM 2023. The total cost of travel and accommodation MUST not exceed the maximum grant amount corresponding to the beneficiary’s geographical zone.
Please bear in mind that the financial program support doesn’t provide refunds in case the beneficiaries book the accommodation or flights by their side.
Maximum Grant Amount
Delegates working at Institutions located in:
Zone 1: Japan
80,000 JPY
Zone 2: East Asia (except Japan) and South-East Asia
200,000 JPY
Zone 3: All countries not included in Zones 1 or 2
300,000 JPY
Schedule
Deadlines are midnight Japan Standard Time.
Application open : January 20, 2023
Closing date for the submission : March 20, 2023
Date to start notification of decisions : April 1, 2023
Date to terminate notification of decisions: April 10, 2023
For any other queries or comments please contact to financial_support@iciam2023.org.
Note that there are possibilities that an application for a registration fee (FS1) is accepted but that for a travel fee (FS2) is rejected due to many requests. Even in such a case, the presentation should not be canceled, since the presentation can be given online.
Required Materials to Apply for Support
To apply for a grant, the applicant should submit the following information:
Personal data (full name, nationality and email address) and professional data (work center, department, company/institution, address, city and country)
A brief description (max. 200 words) of the applicant’s scientific and technological interests, as well as goals and expectations in attending ICIAM 2023. Here, the applicant should also declare the impossibility of
getting other sources of funding.
A short curriculum vitae (max. 400 words) including present status, qualifications obtained and relevant activities carried out in the context of industrial and applied mathematics.
Two recommendation letters from specialists in Industrial and Applied Mathematics (pdf format) including their full professional and contact data. The files must be named as SurnameName_RL1.pdf and SurnameName_RL2.pdf.
For Master and Ph.D. students: an official certificate or document (pdf format) provided by the school to prove current enrollment. The files must be named as SurnameName_OC.pdf.
Contact data of the head of the Department/Faculty of the applicant’s institution.
Delegates may receive a refund less 25% processing fee for cancellation requests made by April 20, 2023.
Cancellations from April 21 to July 20, 2023 will be subject to a 50% processing fee.
No refunds will be granted for cancellation after July 21, 2023.
If you have to cancel your participation and would like to be refunded, please send by e-mail a written request to contact@iciam2023.org by July 20, 2023.
Refunds will be issued after the Conference. Bank charges will be deducted from the refund.
ICIAM 2023 will not be responsible for any losses incurred by attendees, including (but not limited to) airline cancellation charges or hotel deposits.
The International Council for Industrial and Applied Mathematics (ICIAM) is a world-wide organization for professional applied mathematics societies, and for other societies with a significant interest in industrial or applied mathematics. The International Congress on Industrial and Applied Mathematics, held every four years, is the flagship conference of ICIAM.
Organizers
JSIAM
JSIAM, the Japan Society for Industrial and Applied Mathematics, was established in April 1990, and is the central organization for industrial and applied mathematicians in Japan. It currently has approximately 1300 individual members and 23 corporate members including Toyota, Nissan, Hitachi, NEC, and Canon. The JSIAM’s objective is to foster the mathematical sciences and engineering mathematics which contribute to the innovation of science and technology. It is a cross-disciplinary society consisting of people researching mathematical phenomena (in mathematics as well as in other sciences), those who apply mathematics (engineering, technology), and those who develop methods of analysis (computer science, experimental science).
Both the JSIAM and the MSJ are registered members of the Science Council of Japan, which is the governmental body administering the promotion and enhancement of sciences in Japan. Members of both societies have actively attended past ICIAM congresses since their inception, with recent ICIAMs attracting around 100 participants from Japan. Furthermore, both societies have sent representatives to every ICIAM Board Meeting.
MSJ
MSJ, The Mathematical Society of Japan, founded in 1877, is one of the oldest academic societies in Japan. Currently, the MSJ has more than 5,000 individual and institutional members. It organized the International Congress of Mathematicians in Kyoto in 1990 with great success. The MSJ conducts various activities to support mathematical research and education, thereby contributing to science and culture in general. It holds two annual meetings and organizes workshops/seminars, such as the Takagi Lectures and the MSJ-Seasonal Institutes. The MSJ’s activities include: (1) publishing journals, conference proceedings and books, (2) commending, through various awards, mathematicians who have made significant achievements in pure and applied mathematics, and (3) holding public lectures and seminars for a general audiences. As a body of professionals with mathematical expertise, the MSJ has been making policy proposals to the Japanese Government in order to improve the national education and research environment of mathematical sciences. The MSJ is also committed to a global agenda through its international activities. For example, members of the MSJ actively participate in international conferences such as the International Congress of Mathematicians (ICM) and the Asian Mathematical Conference (AMC). Furthermore, Dr. Shigefumi Mori, a member of the MSJ, was elected as president of the International Mathematical Union (IMU), the first ever from Asia.
SCJ
The Science Council of Japan (The SCJ) is the representative organization of Japanese scientist community ranging over all fields of sciences subsuming humanities, social sciences, life sciences, natural sciences, and engineering.
Co-Organizers
Faculty of Science and Engineering, Waseda University
Sponsors
Waseda University
Waseda University is one of the largest research universities in Japan. It employs more than 2,000 permanent faculty members and has a student body of more than 45,000 undergraduates and 8,000 graduate students. Founded in 1882 by the former prime minister of Japan, Shigenobu Okuma, it is also one of the oldest universities in Japan. Waseda University has hosted various international congresses on the scale of many thousands of participants on information technology, electronics, physics, etc. All lecture halls, seminar rooms, and the Okuma Auditorium are air-conditioned. Waseda University has generously offered these fabulous facilities for ICIAM 2023 without a fee.
Tokyo Convention & Visitors Bureau
Tokyo Convention & Visitors Bureau (TCVB) is the official destination marketing and management organization for Tokyo. Its goal is to build economic prosperity and support community development through tourism. It effectively market the city and communicate the ever-evolving image of Tokyo to global audiences in the aim of attracting visitors and business events. This is achieved through the coordinated group efforts of community, partners, and staff working together.
