Events

Mar 16 - Mar 22, 2025

Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining

Mikhail Moshkov, Professor, Applied Mathematics and Computational Sciences

Mar 20, 12:00 - 13:00

B9, L2, R2325

Mar 2 - Mar 8, 2025

KAUST-CEMSE-AMCS-STAT-Graduate-Seminar-Kaja-Dynamic

The Ball-Proximal (=“Broximal”) Point Method: a New Algorithm, Convergence Theory, and Applications

Kaja Gruntkowska, PhD student, Statistics, KAUST

Mar 6, 12:00 - 13:00

B9, L2, R2325

Enhance Neural Network Training for Complex PDEs: Algorithms, Architectures, and Integration with Traditional Methods

Dr. Yahong Yang, Postdoctoral Scholar, Pennsylvania State University, USA

Mar 2, 12:00 - Mar 3, 01:00

Auditorium between Building 2 - 3, L0 R0215

Feb 23 - Mar 1, 2025

KAUST-CEMSE-AMCS-STAT-Graduate-Seminar-Artavazd-Maranjyan-Ringmaster-ASGD

Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity

Artavazd Maranjyan, PhD Student, AMCS, KAUST

Feb 27, 12:00 - 13:00

B9, L2, R2325

Theoretical Foundations of Efficient and Scalable Graph Learning

Dr. Ziang Chen, Instructor, Applied Mathematics, MIT, USA

Feb 24, 12:00 - 13:00

Auditorium between Building 2 - 3, L0 R0215

Graph Neural Networks

Adapting Foundation Models: From Reinforcement Learning to Multivariate Time Series Forecasting

Abdelhakim Benechehab, Ph.D. Student, EURECOM, France

Feb 24, 12:00 - 13:00

B4 L5 R5220

Feb 16 - Feb 22, 2025

KAUST-CEMSE-AMCS-STAT-Graduate-Seminar-Boris-Mordukhovich-Derivative-free-nonconvex-opt-noise

Derivative-Free Methods in Nonconvex Optimization with and Without Noise

Boris Mordukhovich, Distinguished University Professor, Wayne State University

Feb 20, 12:00 - 13:00

B9, L2, R2325

Convergence of Descent Methods under Polyak- Lojasiewicz-Kurdyka Properties

Boris Mordukhovich, Distinguished Professor, Mathematics, Wayne State University, USA

Feb 19, 16:00 - 17:00

B1 L3 R3119

optimization algorithm

Conformal Mapping and Invariants – Motivating Numerical PDE Approaches

Dr. Harri Hakula, Principal University Lecturer, Mathematics and Systems Analysis, Aalto University, Finland

Feb 18, 16:00 - 17:00

B1 L3 R3119

PDEs numerical methods optimization

Feb 9 - Feb 15, 2025

KAUST-CEMSE-AMCS-STAT-Graduate-Seminar-Aelson-Sobral-infinity-laplacian

Recent Advances in Infinity Laplacian Equations

Aelson Sobral, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences

Feb 13, 12:00 - 13:00

B9, L2, R2325

Mapping Properties of Neural Networks and Inverse Problems

Prof. Matti Lassas, Applied Mathematics, University of Helsinki, Finland

Feb 12, 18:00 - 19:00

B1 L4 R4214

Neural Networks generative models

Bridging Optimal Control and Modern AI Techniques

Tingwei Meng, Assistant Professor, Computational and Applied Mathematics, University of California,

Feb 9, 12:00 - 13:00

Auditorium between 2 and 3

Feb 2 - Feb 8, 2025

KAUST-CEMSE-AMCS-STAT-Graduate-Seminar-Katerina-Nik-MEMS-Heterogeneous-Dielectric-Properties

A Limiting Model for MEMS with Heterogeneous Dielectric Properties

Katerina Nik, Assistant Professor, Applied Mathematics and Computational Sciences

Feb 6, 12:00 - 13:00

B9, L2, R2325

KAUST-AMCS-Distinguished-Lectures-of-Mathematics-and-Applications

Random Matrix and SYK model

Prof. Gang Tian

Feb 4, 16:00 - 17:00

B1, L3, R3119

KAUST-CEMSE-The-International-Research-Conference-on-Multi-Grid-and-Multi-Scale-Methods-in-Computational-Science

KAUST International Research Conference on Multi-Grid and Multi-Scale Methods in Computational Science, IMG 2025

Feb 3 - 5, All day

Building 19 and 20

Multigrid Domain Decomposition HPC computational fluid dynamics Computational finance

Jan 26 - Feb 1, 2025

KAUST-CEMSE-AMCS-STAT-Graduate-Seminar-Melih-Ucer-hamilton-Jacobi-Equations

Singular Points of Solutions of Hamilton-Jacobi Equations

Melih Ucer, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences

Jan 30, 12:00 - 13:00

B9, L2, R2325

kaust-amcs-Professor-Lourenco-Beirao-da-Veiga

An introduction to Virtual Elements in 3D

Professor Lourenco Beirao da Veiga, University of Milano-Bicocca

Jan 28, 16:00 - 17:00

B1, L3, R3119

NumPDE Workshop: Numerical Analysis of PDEs

Jan 26, 08:45 - Jan 28, 15:35

Sunday 26/01 (morning, 8.45-13.30) - Auditorium between Building 2 and Building 3; Sunday 26/01 (afternoon, from 13.45) - Building 9, Room 2322 (Lecture Hall); Monday 27/01 and Tuesday 28/01 - Auditorium between Building 4 and Building 5

PDEs numerical analysis

Jan 19 - Jan 25, 2025

Parametric Loudspeaker: From Theory To Applications

Jun Yang, Distinguished Professor, Chinese Academy of Sciences

Jan 23, 10:00 - 11:00

B1 L3 R3119

Jan 12 - Jan 18, 2025

Enriching Your CV, Expanding Networks, and Building a Reputation

Majid Hassanizadeh, Senior Professor, Stuttgart Center for Simulation Science (SIMTECH), Stuttgart University, Germany

Jan 13, 16:00 - 17:00

B1, L3, R3119; Zoom link

KAUST-CEMSE-AMCS-Mathematics-and-Applications-Colloquium-Cinzia-Soresina

Derivation of cross-diffusion models in population dynamics: dichotomy, time-scales, and fast-reaction

Cinzia Soresina, Montalcini Tenure-Track Assistant Professor, Department of Mathematics, University of Trento, Italy

Jan 13, 14:30 - 15:30

B1, L3, R3119

Dec 22 - Dec 28, 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 14, 2024

From perfect numbers to Egyptian fraction

Tianxin Cai

Dec 12, 16:00 - 17:00

B5, L5, R5209

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 7, 2024

Causal Recommender Systems

Xiao-Hua (Andrew) Zhou

Dec 5, 16:00 - 17:00

B1, L3, R3119

KAUST-CEMSE-AMCS-STAT-Graduate-Seminar-Maurizio-Filippone

Improving Optimization of Likelihood-based Generative Models with One Line of Code

Maurizio Filippone, Associate Professor, Statistics

Dec 5, 12:00 - 13:00

B9, L2, R2325

From Pentamodes to Cable Webs to Masonry Structures

Graeme Milton

Dec 5, 10:00 - 11:00

B1, L3, R3119

KAUST-CEMSE-AMCS-Phd-dissertation-defense-yang-liu

Multilevel sampling and goal-oriented adaptive finite elements for random PDEs and advances in randomized quasi-Monte Carlo

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

Dec 4, 16:00 - 18:30

B2, L5, R5209

KAUST-CEMSE-AMCS-SIAM-seminar-Melih-Ucer

Monotone Operator methods for proving existence of solutions to Dirichlet-type problems

Melih Ucer, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences

Dec 4, 14:15 - 15:15

B1, L4, R4214

Nov 24 - Nov 30, 2024

Mathematics and Sustainability - A Teaching Perspective - Part 2

Henrik Shahgholian

Nov 28, 15:00 - 16:00

B3, L5, R5220

KAUST-CEMSE-AMCS_STAT-Graduate-Seminar-Laurent-Condat-LoCoDL

LoCoDL: Communication-Efficient Distributed Optimization with Local Training and Compression

Laurent Condat, Senior Research Scientist, Computer, Electrical and Mathematical Sciences and Engineering

Nov 27, 12:00 - 13:00

B9, L3, R3125

Constraint Maps and their free boundaries

Henrik Shahgholian

Nov 26, 16:00 - 17:00

Building 1, Level 3, Room 3119

Mathematics and Sustainability - A Teaching Perspective - Part 1

Henrik Shahgholian

Nov 25, 15:00 - 16:00

B3, L5, R 5220

Nov 17 - Nov 23, 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

Jun 9 - Jun 15, 2024

On the Natural Gradient Descent

Prof. Levon Nurbekyan

Jun 11, 16:00 - 17:00

KAUST

gradient methods

May 26 - Jun 1, 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 19 - May 25, 2024

Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2024

Stochastic Numerics PI Professor Raul Tempone (Chair) and Computational Probability PI Professor Ajay Jasra (Co-Chair)

May 19, 08:00 - May 30, 17:00

B2 B3 A0215

stochastic algorithms statistical learning machine learning

May 12 - May 18, 2024

Hierarchical ensemble-based data assimilation and rare event tracking

Gaukhar Shaimerdenova, Ph.D. Student, Applied Mathematics and Computational Sciences

May 15, 10:00 - 12:00

B4 L5 R5220

numerical analysis

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

Towards trustworthy use of scientific machine-learning in large scale numerical simulations

Alena Kopanicakova, Researcher, Brown University

May 13, 09:00 - 10:00

B9 L3 R3128

numeric simulations

May 5 - May 11, 2024

Intracellular "in silico microscopes" - Fully 3D Spatio-Temporal Virus Replication Model Simulations

Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences

May 9, 12:00 - 13:00

B9 L2 H2 H2

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

Apr 28 - May 4, 2024

Non-standard Finite Elements for Eigenvalue Problems

Linda Alzaben, Ph.D. Student, Applied Mathematics and Computational Sciences

May 2, 14:00 - 15:00

B1 L2 R2202

Statistical Deep-Learning for Spatiotemporal Extremes

Raphaël Huser, Associate Professor, Statistics

May 2, 12:00 - 13:00

B9 L2 H2 H2

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

A Free Boundary Problem for Accretive Growth

Katerina Nik, Postdoc, Applied Mathematics and Modelling Group, University of Vienna

Apr 28, 09:00 - 10:00

B9 L3 R3128

Apr 14 - Apr 20, 2024

Traveling wave solutions of Reaction-Diffusion equation in Biological mathematics

Hoyoun Kim, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences

Apr 18, 12:00 - 13:00

B9 L2 H2 H2