Events

Nov 30 - Dec 6, 2025

Will AI Replace Professors?

Pavel Pevzner, Ronald R. Taylor Chair and Distinguished Professor, Computer Science and Engineering, University of California, San Diego

Dec 4, 12:00 - 13:00

B2/B3 A0215

Nov 2 - Nov 8, 2025

Proper Random Walk Spline Models

Eman Kabbas, Ph.D. Student, Applied Mathematics and Computational Science

Nov 2, 15:00 - 17:00

B3 L5 R5209

Bayesian and computational Statistics data science

Oct 26 - Nov 1, 2025

Accelerating Branch-and-Bound Graph Algorithms with GPUs

Izzat El Hajj, Assistant Professor, Computer Science, American University of Beirut

Oct 30, 12:00 - 13:00

B9 L2 R2325

Unlocking Euclidean Problems with Isotropic Initialization

Mikhail Skopenkov, Research Scientist, Computer Science

Oct 30, 12:00 - 13:00

B9 L2 R2325

Ringleader ASGD: The First Asynchronous SGD with Optimal Time Complexity under Data Heterogeneity

Arto Maranjyan, Ph.D. Student, Computer Science

Oct 28, 14:30 - 15:30

B1 L3 R3119

Collective Behaviors - From Traffic Congestion to Chase-and-Escape

Toru Ohira, Professor, Dean of the Graduate School of Mathematics, Nagoya University, Japan

Oct 26, 14:30 - 15:30

B5 L5 R5220

Mathematical modeling

Oct 19 - Oct 25, 2025

A Generalized Gaussian Min–Max Framework Inferring Post-Processing Effects in High-Dimensional Estimation

Abla Kammoun, Senior Research Scientist, Electrical and Computer Engineering

Oct 21, 14:30 - 15:30

B1 L3 R3119

statistical analysis

Oct 12 - Oct 18, 2025

Bias-Reduced Estimation of Structural Equations Models

Haziq Jamil, Research Specialist, Statistics

Oct 16, 12:00 - 13:00

B9 L2 R2325

Oct 5 - Oct 11, 2025

Block Low-Rank Matrices for Modern Scientific Computing

Daria Sushnikova, Postdoctoral Research Fellow, Computer, Electrical and Mathematical Sciences and Engineering

Oct 9, 12:00 - 13:00

B9 L2 R2325

Sep 28 - Oct 4, 2025

AI for Science: AI-Driven Knowledge Discovery

Dongxiao Zhang, Chair Professor, Faculty of Engineering; Provost and Executive Vice President, Eastern Institute of Technology, Ningbo (EIT)

Oct 2, 14:30 - 15:30

B1 L3 R3119

AI machine learning

Efficient Bayesian Methods for Biostatistics

Janet van Niekerk, Research Scientist, Statistics

Oct 2, 12:00 - 13:00

B9 L2 R2325

bayesian methods

Towards Finite Element Tensor Calculus

Kaibo Hu, Associate Professor, Mathematical Institute, University of Oxford

Sep 30, 14:30 - 15:30

B1 L3 R3119

Finite elements tensor calculus PDEs

New Challenges in the Kinetic Theory of Complex Fluids

Umberto Zerbinati, Stipendiary Lecturer, Oriel College, University of Oxford

Sep 29, 16:00 - 17:00

B1 L4 R4214

PDEs numerical PDEs Kinetic Theory

Sep 21 - Sep 27, 2025

KAUST-CEMSE-AMCS-STAT-Graduate-Seminar-Emmanuel-Ambriz-Nonparametric-functional-quantiles

Nonparametric Functional Quantiles, Skewness, and Probability Bands via the Functional Signed Directionality

Emmanuel Ambriz, Postdoctoral Research Fellow, Statistics

Sep 25, 12:00 - 13:00

B9 L2 R2325

functional signed directionality

Sep 14 - Sep 20, 2025

KAUST-CEMSE-AMCS-STAT-Graduate-Seminar-Raphael-Huser-Neural-Methods-Amortized-Inference-Spatial-Extremes

Neural Methods for Amortized Inference with Models for Spatial Extremes

Raphaël Huser, Associate Professor, Statistics

Sep 18, 12:00 - 13:00

B9, L2, R2325

From the Ball-Proximal (Broximal) Point Method to Efficient Training of LLMs

Peter Richtarik, Professor, Computer Science

Sep 16, 16:00 - 17:00

B1 L3 R3119

AI machine learning optimization algorithms LLM

Sep 7 - Sep 13, 2025

Gaussian Random Fields on Metric Graphs

David Bolin, Professor, Statistics

Sep 11, 12:00 - 13:00

B9 B2 L2325

Gaussian random fields Metric graphs Statistical Modeling

Aug 31 - Sep 6, 2025

From the Ball-Proximal (Broximal) Point Method to Efficient Training of LLMs

Peter Richtarik, Professor, Computer Science

Sep 4, 12:00 - 13:00

B9 L2 R2325

AI machine learning optimization algorithms LLM

Jul 13 - Jul 19, 2025

Randomized Greedy Algorithms for Neural Network Optimization in Solving Partial Differential Equations

Xiaofeng Xu, Ph.D. Student, Applied Mathematics and Computational Science

Jul 15, 17:00 - 19:00

B4 L5 R5220

PDEs optimization machine learning randomized orthogonal greedy algorithm

Jul 6 - Jul 12, 2025

Discovery of Low-Dimensional Generative Models for Complex Dynamical Systems

Juan Pablo Muñoz Díaz, Ph.D. Student, Applied Mathematics and Computational Science

Jul 9, 09:00 - 10:00

B2 L5 R5220; Zoom Meeting 95274807609

generative ai applied mathematics bioscience Dynamical Systems deep learning

Theory and Implementation of Novel Numerical Methods for Multiphysics Interface Problems

Najwa Alshehri, Ph.D. Student, Applied Mathematics and Computational Science

Jul 8, 15:00 - 17:00

B2/B3 L0 R0215

finite element method numerical analysis fluid-structure interactions mixed finite elements

May 18 - May 24, 2025

Stochastic Numerics and Statistical Learning Workshop

Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2025

May 18, 09:00 - May 25, 15:30

Auditorium 0215 between B2 & B3

stochastic algorithm statistical learning machine learning

May 11 - May 17, 2025

Perturbation Methods in PDE: from Heuristics to Breakthroughs in Regularity Theory - Part 3

Dr. Eduardo Teixeira, Professor of Mathematics, Department of Mathematics, University of Central Florida, USA

May 15, 16:15 - 17:30

B1 L4 R4102

The Signed Translation Transformed Depth: Order, Quantiles, Spread, Skewness, and Quantile Regression for Multivariate Functional Data

Emmanuel Ambriz, Postdoctoral Research Fellow, Statistics

May 15, 12:00 - 13:00

B9 L2 R2325

multivariate analysis

Perturbation Methods in PDE: from Heuristics to Breakthroughs in Regularity Theory - Part 2

Dr. Eduardo Teixeira, Professor of Mathematics, Department of Mathematics, University of Central Florida, USA

May 14, 16:15 - 17:30

B1 L3 R3119

KAUST-CEMSE-AMCS-Mathematics-and-Applications-Colloquium-Eduardo-Teixeira

Nonlocal Degenerate PDEs: Bridging Free Boundary Problems and Critical-point Models

Eduardo Teixeira, Graduate Director & Professor, Department of Mathematics, University of Central Florida

May 13, 16:00 - 17:00

Building 1, Level 3, Room 3426

nonlocal degeneracies local extrema models regularity estimates

Topological Phenomena in Artificial Materials

Xiujuan Zhang, Associate Professor, School of Engineering and Applied Sciences, Department of Material Science and Engineering, Nanjing University

May 12, 10:00 - 11:00

B1 L3 R3119

topological phenomena artificial materials

Perturbation Methods in PDE: from Heuristics to Breakthroughs in Regularity Theory - Part 1

Dr. Eduardo Teixeira, Professor of Mathematics, Department of Mathematics, University of Central Florida, USA

May 11, 16:15 - 17:30

B1 L3 R3119

May 4 - May 10, 2025

Vecchia Approximations of Gaussian Processes on GPUs for Scalable Spatial Modeling and Computer Model Emulation

Qilong Pan, Ph.D. Student, Statistics

May 8, 12:00 - 13:00

B9 L2 R2325

machine learning Geospatial Data GPU Computing

Current and Future Challenges and Solutions in AI & HPC System and Thermal Management

Dr. Gamal Refai-Ahmed, Senior Fellow & Chief Architect, AMD Member of U.S. National Academy of Engineering Life Fellow, Canadian Academy of Engineering Fellow, Engineering Institute of Canada Fellow & Distinguished Lecturer, IEEE Life Fellow, ASME

May 6, 13:00 - 17:00

B4 L5 R5209

First-Order Mean-Field Games with Entry-Exit Flow Constraints and Contact-Set Conditions

AbdulRahman Alharbi, Ph.D. Student, Applied Mathematics and Computational Science

May 4, 12:30 - 14:30

B9 L4 R4225; Zoom Meeting 95071981979

mean-field models free boundary problems

Apr 27 - May 3, 2025

Retraction Maps, Feedback Linearization and Nonholonomic Integrators

Ravi Banavar, Professor, Systems and Control Engineering, IIT Bombay

May 1, 12:00 - 13:00

B9 L2 R2325

Apr 20 - Apr 26, 2025

Linear Solvers for Large-Scale Bayesian Modeling

Lisa Gaedke-Merzhäuser, Postdoctoral Research Fellow, Statistics

Apr 24, 12:00 - 13:00

B9 L2 R2325

Apr 13 - Apr 19, 2025

Homogenization and Wave Functional Materials

Ying Wu, Program Chair, Applied Mathematics and Computational Science

Apr 17, 12:00 - 13:00

B9 L2 R2325

Wave functional materials Homogenization

Apr 6 - Apr 12, 2025

The Earliest Arrival of Quantum Advantage

David Keyes, Professor, Applied Mathematics and Computational Science

Apr 10, 12:00 - 13:00

B9 L2 R2325

quantum computing quantum processing unit supercomputers

Helmholtz–Korteweg Equations: Modeling, Analysis, and Applications

Umberto Zerbinati

Apr 8, 15:00 - 16:00

B1 L4 R4102

Korteweg fluids Helmholtz–Korteweg equation

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, Postdoctoral Research Fellow, Statistics

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 Science

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

Arto Maranjyan, Ph.D. Student, Computer Science

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