Public Colloquium

Jun 15 - Jun 9, 2024

On the Natural Gradient Descent

Prof. Levon Nurbekyan

Jun 11, 16:00 - 17:00

KAUST

gradient methods

May 18 - May 12, 2024

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

Rolf Krause, Professor, Applied Mathematics and Computational Science

May 14, 16:00 - 17:00

B3 L5 R5209

machine learning medicine AI

May 11 - May 5, 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

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

May 4 - Apr 28, 2024

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 20 - Apr 14, 2024

Neural Operators: Theory, Architecture, and Applications for PDEs

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

Apr 16, 16:00 - 17:00

B1 L3 R3119

Neural Operator Multigrid

Mar 30 - Mar 24, 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

Mar 2 - Feb 25, 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 10 - Feb 4, 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 27 - Jan 21, 2024

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

Dec 9 - Dec 3, 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

Nov 18 - Nov 12, 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 11 - Nov 5, 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

Nov 4 - Oct 29, 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 Science

Oct 31, 15:30 - 17:00

B5 L5 R5209

sampling Markovian projection

Sep 30 - Sep 24, 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 23 - Sep 17, 2023

Additive Schwarz Methods for Convex Optimization - Theory and Applications

Jongho Park, Research Scientist, Applied Mathematics and Computational Science

Sep 19, 16:00 - 17:00

B5 L5 R5209

Additive Schwarz methods convex optimization

Apr 15 - Apr 9, 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 8 - Apr 2, 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

Apr 1 - Mar 26, 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 11 - Feb 5, 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 17 - Sep 11, 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

Sep 3 - Aug 28, 2022

Emergence of transportation networks as a self-regulated process

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

Aug 30, 15:30 - 17:00

B1 L3 R3119

random process transportation networks