Events

Dec 15 - Dec 29, 2024

SDE, BSDE under Nonlinear Expectation and Fully Nonlinear Path-dependent Parabolic PDE

Shige Peng, Academician of the Chinese Academy of Sciences, Professor of Mathematics, and Chairman of the Research Center for Mathematics and Interdisciplinary Sciences at Shandong University

Dec 22, 11:00 - 12:00

B1, L3, R3119

Dec 8 - Dec 15, 2024

A Construction of C^r Conforming Finite Element Spaces in Any Dimension

Jun Hu

Dec 12, 12:00 - 13:00

B1, L3, R3119

KAUST-CEMSE-AMCS-Mathematics-and-Applications Colloquium-Qiang-Du

Integral models with nonlocal operators: applications and recent development

Qiang Du, Fu Foundation Professor of Applied Mathematics at Columbia University

Dec 10, 16:00 - 17:00

B1, L3, R3119

Dec 1 - Dec 8, 2024

Causal Recommender Systems

Xiao-Hua (Andrew) Zhou

Dec 5, 16:00 - 17:00

B1, L3, R3119

Nov 24 - Dec 1, 2024

Constraint Maps and their free boundaries

Henrik Shahgholian

Nov 26, 16:00 - 17:00

Building 1, Level 3, Room 3119

Nov 17 - Nov 24, 2024

KAUST-CEMSE-AMCS-PhD-Dissertation-Defense-Xiuping-Wang

Efficient and Structure-Preserving Numerical Schemes for Kohn-Sham Gradient Flow Models

Xiuping Wang, Ph.D. Student, Applied Mathematics and Computational Sciences

Nov 20, 09:00 - 10:00

B4, L5, R5220

KAUST-CEMSE-AMCS-MAC-Tao-Zhou-Deep-Adpative-Sampling

Deep Adaptive Sampling for Numerical PDEs

Prof. Tao Zhou, Chinese Academy of Sciences

Nov 19, 16:00 - 17:00

B1, L3, R3119

Oct 27 - Nov 3, 2024

KAUST-CEMSE-AMCS-SCML-Short-Course-Majid-Hassanizadeh

Fundamentals of flow of fluids and transport of solutes and colloids in porous media

Oct 31, 14:00 - Dec 5, 16:30

B1, L3, R3119

Jun 9 - Jun 16, 2024

On the Natural Gradient Descent

Prof. Levon Nurbekyan

Jun 11, 16:00 - 17:00

KAUST

gradient methods

May 26 - Jun 2, 2024

A Whole-genome Model of DNA Replication in Human Cells

Dr. Francisco Berkemeier, University of Cambridge

May 28, 16:00 - 17:00

B5 L5 R5209

genome biological models

May 12 - May 19, 2024

Models, Methods, Applications: HPC in Medicine, Science, Engineering, and AI

Rolf Krause, Professor, Applied Mathematics and Computational Sciences

May 14, 16:00 - 17:00

B3 L5 R5209

machine learning medicine AI

May 5 - May 12, 2024

Optimization for Deep Learning

Dr. Konstantin Mischenko, Samsung AI Center, Cambridge, UK

May 7, 16:00 - 17:00

B5 L5 R5209

Deep learning mathematical optimization

Apr 28 - May 12, 2024

Multigrid Monte Carlo Revisited: Theory and Bayesian Inference

Professor Robert Scheichl, University of Heidelberg

May 5, 11:00 - 12:00

B1 L3 R3119

Multigrid Monte Carlo

Apr 28 - May 5, 2024

Cell-centered extrapolation cascadic multigrid method for solving diffusion equation with discontinuous coeffcients

Xiaoxin Wu, Central South University, China

May 2, 09:00 - 10:00

https://meeting.tencent.com/dm/bpUiLe2AlgBC

Multigrid

Virtual Element Approximation of Eigenvalue Problems

Prof. Francesca Gardini, Università di Pavia

Apr 30, 16:00 - 17:00

B1 L3 R3119

Virtual Element Method Elgenvalue FEMSimulation PDE

Apr 21 - Apr 28, 2024

Structure-conforming Operator Learning via Transformers

Prof. Shuhao Cao, University of Missouri–Kansas City

Apr 22, 16:00 - 17:00

KAUST

transformers

Apr 14 - Apr 21, 2024

Neural Operators: Theory, Architecture, and Applications for PDEs

Xinliang Liu, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences

Apr 16, 16:00 - 17:00

B1 L3 R3119

Neural Operator Multigrid

Mar 24 - Mar 31, 2024

Hessian-dependent Functionals: Mean Field Games, Free Boundaries and Improved Regularity

Prof. Edgard Pimentel, Department of Mathematics of the University of Coimbra

Mar 26, 16:00 - 17:00

B2 L5 R5220

Hessain-dependent elasticity mean-field games Free Boundaries viscous

Feb 25 - Mar 3, 2024

Critical Phenomena in Financial Markets and Social Networks

Prof. Christof Schmidhuber, ZHAW School of Engineering

Feb 27, 16:00 - 17:00

B9 L2 R2322

Financial Market Social Network Analysis Critical Phenomena Arbitrageurs

Feb 11 - Feb 18, 2024

Approximation and Generalization Errors in Deep Neural Networks for Sobolev Spaces measured by Sobolev Norms

Dr. Yahong Yang, Department of Mathematics, Penn State University

Feb 14, 16:00 - 17:00

KAUST

deep neural networks approximation Sobolev Spaces

Feb 4 - Feb 11, 2024

Fast Solution Methods for Wave Propagation Problems: From Classical Domain Decomposition Solvers to Learning

Prof. Dr. Victorita Dolean, Mathematics and Computer Science, Scientific Computing, TU Eindhoven

Feb 6, 16:00 - 17:00

B2 L5 R5220

wave propagation numerical methods

Jan 21 - Jan 28, 2024

A Posteriori Error Estimation and Adaptivity for Elliptic Interface Problems

Prof. Zhiming Chen, Academy of mathematics and Systems Science, Chinese Academy of Sciences

Jan 24, 14:30 - 16:00

B4 L5 R5220

adaptive methods linear elliptic equations

Arbitrarily High-order Finite Element Methods for Arbitrarily Shaped Domains with Automatic Mesh Generation

Prof. Zhiming Chen, Academy of Mathematics and Systems Science, Chinese Academy of Sciences

Jan 23, 16:00 - 17:00

B2 L5 R5220

High-order FEM adaptive methods

Jan 14 - Jan 21, 2024

Unveiling Insights from "Gradient Descent Converges Linearly for Logistic Regression on Separable Data"

Bang An, Ph.D. Student, Applied Mathematics and Computational Sciences

Jan 17, 10:00 - 11:00

B1 L0 R0118

gradient methods Regression Models

Jan 7 - Jan 14, 2024

Physics-informed Neural Networks for Learning the Homogenized Coefficients of Multiscale Elliptic Equations

Dr. Jun Sur Richard Park, Korea Institute for Advanced Study

Jan 10, 10:00 - 11:00

KAUST

Physics-informed Neural Networks multiscale methods Homogenization

Dec 31 - Jan 7, 2023

A Combination of Physics-informed Neural Networks with the Fixed-stress Splitting Iteration for Solving Biot’s Model

Prof. Mingchao Cai, Department of Mathematics, Morgan State University

Jan 3, 16:00 - 17:00

KAUST

Physics-informed Neural Networks

Dec 24 - Dec 31, 2023

An Unconditionally Energy-stable and Orthonormality-preserving Iterative Scheme for the Kohn-Sham Gradient Flow Based Model

Xiuping Wang, AMCS, CEMSE, KAUST

Dec 27, 10:00 - 11:00

B1 L0 R0118

Kohn-Sham gradient flow Orthonormality-preserving

Dec 17 - Dec 24, 2023

Deep Neural Network Approximation via Function Compositions

Dr. Shijun Zhang, Department of Mathematics, Duke University

Dec 20, 19:00 - 20:00

KAUST

deep neural networks approximation

Dec 10 - Dec 17, 2023

Arabic NLP @ AI Initiative

Oleg Serikov, AI Initiative, KAUST

Dec 13, 09:00 - 10:00

B1 L3 R3309

Arabic natural language processing

Dec 3 - Dec 10, 2023

Nonlinear energy stability for phase-field models: Numerics and analysis

Prof. Tao Tang

Dec 5, 16:00 - 17:00

B5 L5 R5209

phase-field models

Nonlinear stability of splitting methods for Cahn-Hilliard equations

Prof. Tao Tang's personal website

Dec 4, 15:30 - 17:00

B3 L5 R5220

nonlinear stability splitting methods Cahn-Hilliard equations

Nov 26 - Dec 3, 2023

Symmetry and Beyond

Prof. Jiping Zhang

Nov 29, 15:00 - 16:00

B3 L5 R5220

symmetry groups symmetric polynomials monstrous moonshine

Basic Algebraic Structures

Prof. Efim Zelmanov

Nov 29, 14:00 - 15:00

B3 L5 R5220

Structures Galois

Nov 12 - Nov 19, 2023

Multiscale Learning of High-dimensional Cell Fate

Prof. Qing Nie, Department of Mathematics, Department of Developmental and Cell Biology, NSF-Simons Center for Multiscale Cell Fate Research, University of California, Irvine

Nov 16, 15:30 - 17:00

B9 L4 R4225

Nov 5 - Nov 12, 2023

A Brief Overview of Arabic NLP

Prof. Sakhar B. Alkhereyf

Nov 7, 15:30 - 17:00

B5 L5 R5209

nlp Arabic natural language processing

Oct 29 - Nov 5, 2023

Stochastic Optimal Control with Exercise Rate Optimization and Markovian Projections: Pricing American Options and Importance Sampling Applications

Raul Tempone, Professor, Applied Mathematics and Computational Sciences

Oct 31, 15:30 - 17:00

B5 L5 R5209

sampling Markovian projection

Sep 24 - Oct 1, 2023

Device accelerated solvers for PDEs. Current status and future perspectives

Stefano Zampini, Senior Research Scientist, Hierarchical Computations on Manycore Architectures

Sep 26, 16:00 - 17:00

B5 L5 R5220

Shaheen GPU supercomputing petsc PDEs

Sep 17 - Sep 24, 2023

Additive Schwarz Methods for Convex Optimization - Theory and Applications

Jongho Park, Research Scientist, Applied Mathematics and Computational Sciences

Sep 19, 16:00 - 17:00

B5 L5 R5209

Additive Schwarz methods convex optimization

Apr 9 - Apr 16, 2023

High-order non-conforming finite elements for the Stokes equation

Stefan Sauter, Professor, Institute of Mathematics, University of Zurich

Apr 11, 16:00 - 17:00

B2 L5 R5220

High-order non-confirming Finite elements stokes equation

Apr 2 - Apr 9, 2023

Numerical Methods for Energy Minimisation: Application to Machine Learning Algorithms

Prof. Charalambos Makridakis, Director of the Institute of Applied and Computational Mathematics of FORTH, Greece

Apr 4, 16:00 - 17:00

B2 L5 R5220

numerical methods energy minimization Applied Machine Learning

Mar 26 - Apr 2, 2023

Scalable parallel solvers for cardiac reaction-diffusion models and applications

Luca F. Pavarino, Professor, Department of Mathematics, Università degli Studi di Pavia

Mar 28, 16:00 - 17:00

B2 L5 R5220

Applied Partial Differential Equations parallel simulations

Feb 5 - Feb 12, 2023

Theoretical understanding of learning dynamics in modern deep learning

Dr. Zhanxing Zhu, Senior Research Professor. Changping National lab, Beijing

Feb 7, 16:00 - 17:00

B2 L5 R5209

Sep 11 - Sep 18, 2022

On the resolution of a theoretical question related to the nature of local training in federated learning

Peter Richtarik, Professor, Computer Science

Sep 13, 15:30 - 17:00

B1 L3 R3119

machine learning mathematical optimization communications algorithms

Aug 28 - Sep 4, 2022

Emergence of transportation networks as a self-regulated process

Jan Haskovec, Senior Research Scientist, Applied Mathematics and Computational Sciences

Aug 30, 15:30 - 17:00

B1 L3 R3119

random process transportation networks