Events

May 18 - May 24, 2025

Stochastic Numerics and Statistical Learning Workshop

Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2025

May 18 - 25, All day

Auditorium 0215 between B2 & B3

stochastic algorithm statistical learning machine learning

Apr 6 - Apr 12, 2025

The Earliest Arrival of Quantum Advantage

David Keyes, Senior Associate to the President, King Abdullah University of Science and Technology

Apr 10, 12:00 - 13:00

B9 L2 R2325

quantum computing quantum processing unit supercomputers

Workshop on Analysis and PDEs

Apr 7, 08:00 - Apr 10, 17:00

B3, L5, R5220

PDEs Analysis of PDE's fluid dynamics free boundary problems energy minimization Mathematical Biology

Mar 23 - Mar 29, 2025

Some Contributions to Particle and Unbiased Simulation Methods

Elsiddig Awadelkarim Elsiddig, Ph.D. Student, Applied Mathematics and Computational Sciences

Mar 26, 10:00 - 12:00

B3 L5 R5209; Zoom Meeting 95303621356

Bayesian Statistics machine learning

Dimension Liftings for Quantum Computation of Partial Differential Equations and Related Problems

Shi Jin, Director of Institute of Natural Sciences, Chair Professor of Mathematics, Shanghai Jiao Tong University

Mar 25, 16:00 - 17:00

B1 L3 R3119

PDEs Schrödinger equation quantum simulation quantum computing

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 9 - Mar 15, 2025

On the Use of "Conventional" Unconstrained Minimization Solvers for Training Regression Problems in Scientific Machine Learning

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

Mar 13, 12:00 - 13:00

B9 L2 R2325

petsc PETScML machine learning

Viscous Thin Films Driven by Thermal Noise

Manuel V. Gnann, Assistant Professor, Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Netherlands

Mar 11, 16:00 - 17:00

B1 L3 R3119

Chase and Escape from Sticks to Groups: Effects of Noise and Delay

Toru Ohira, Professor, Graduate School of Mathematics Division of Mathematics Advanced Topology, Nagoya University, Japan

Mar 10, 16:00 - 17:00

B1 L3 R3119

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 - 13:00

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