Events

May 10 - May 16, 2026

KAUST CEMSE AMCS STAT Graduate Seminar Thursday, May. 14

Time Series Clustering: Pattern Recognition, Forecasting, and Amortized Inference

Ángel López Oriona, Postdoctoral Research Fellow, Statistics

May 14, 12:00 - 13:00

B9 R2325

Time Series Pattern Recognition forecasting statistical inference

Apr 26 - May 2, 2026

KAUST CEMSE STAT Ph.D. Dissertation Defense Xiang Chen Towards an Early Warning System for Climate-Sensitive Infectious Diseases: Spatio-Temporal Modeling and Deep Learning for Dengue Forecasting in Brazil

Towards an Early Warning System for Climate-Sensitive Infectious Diseases: Spatio-Temporal Modeling and Deep Learning for Dengue Forecasting in Brazil

Xiang Chen, Ph.D. Student, Statistics

Apr 30, 13:00 - 16:00

B5 R5209

spatio-temporal modeling geospatial statistics infectious disease explainable AI Public Health climate data deep learning computational predictions

KAUST CEMSE AMCS STAT Graduate Seminar Thursday, Apr. 30

Robust and Fuzzy Methods for High-Dimensional Time Series Clustering and Forecasting

Ziling Ma, Ph.D. Student, Statistics

Apr 30, 12:00 - 13:00

B9 R2325

Apr 19 - Apr 25, 2026

KAUST CEMSE AMCS STAT Graduate Seminar Thursday, Apr. 23

Rare-Event Simulation Methods for Outage Probability in GSC/MRC Systems under Rician Fading

Mahmoud Hassan Ghazal , Ph.D. Student, Electrical and Computer Engineering

Apr 23, 12:00 - 13:00

B9 R2325

Statistics of extremes Outage Probability Applied Probability

Apr 12 - Apr 18, 2026

KAUST CEMSE AMCS STAT Graduate Seminar Thursday, Apr. 16

Efficient Numerical Methods for Scalable Bayesian Inference

Lisa Gaedke-Merzhäuser, Postdoctoral Research Fellow, Statistics

Apr 16, 12:00 - 13:00

B9 R2325

numerical methods Efficient Bayesian Inversion Automated and scalable algorithms

Mar 8 - Mar 14, 2026

Extrapolated Linear Multistep Methods

Lajos Lóczi, Research Scientist, Applied Mathematics and Computational Science

Mar 12, 12:00 - 13:00

B9 L2 R2325

ODEs PDEs numerical methods linear multistep methods LMMs

Geospatial Data Science for Public Health Surveillance

Paula Moraga, Assistant Professor, Statistics

Mar 9, 11:15 - 12:45

B4/5 L0 A0215; Zoom Meeting 94713495879

Geospatial Data Public Health Public health surveillance geospatial statistics statistical methods

Mar 1 - Mar 7, 2026

Remote Sensing and Agroinformatics Insights in Saudi Arabia Using Machine Learning

Ting Li, Postdoctoral Research Fellow, Environmental Science and Engineering

Mar 5, 12:00 - 13:00

B9 L2 R2325

remote sensing machine learning sustainable agricultural agricultural productivity

Bayesian Inference for Partially Observed Continuous-Time Processes

Amin Wu, Ph.D. Student, Statistics

Mar 3, 10:00 - 12:00

B5 L5 R5220

McKean-Vlasov SDEs bayesian inference markov chains Monte Carlo

Feb 22 - Feb 28, 2026

Graphpcor: Prior for Correlation Matrices

Elias Teixeira Krainski, Research Scientist, Statistics

Feb 26, 12:00 - 13:00

B9 L2 R2325

correlation Bayesian Estimation expert knowledge integration

Feb 15 - Feb 21, 2026

C1+alpha Regularity for the Fractional p-Laplacian

David De Jesus, Postdoctoral Research Fellow, Applied Mathematics and Computational Science

Feb 19, 12:00 - 13:00

B9 L2 R2325

Mathematical modeling

Feb 8 - Feb 14, 2026

Data-driven Anomaly Detection in Industrial Processes

Fouzi Harrou, Senior Research Scientist, Statistics

Feb 12, 12:00 - 13:00

B9 L2 R2325

anomaly detection multivariate statistics artificial intelligence AI

Feb 1 - Feb 7, 2026

On the Modeling and Approximation of Phase Transitions in Elasticity

Georgios Grekas, Postdoctoral Research Fellow, Applied Mathematics and Computational Science

Feb 5, 12:00 - 13:00

B9 L2 R2325

Phase transitions elasticity mathematical modelling

Uncertainty-Aware Learning: From Bayesian Neural Networks to Agentic Decision Making

Theodore Papamarkou, Founder, PolyShape; Visiting Professor, School of Applied Mathematical and Physical Sciences (SEMFE), National Technical University of Athens (NTUA)

Feb 1, 12:00 - 13:00

B4/5 L0 A0215

uncertainty quantification neural network Bayesian modeling AI

Jan 25 - Jan 31, 2026

Energy-Efficient and Sustainable Spatial Modeling Using GPU Computing

Sameh Abdulah, Senior Research Scientist, Applied Mathematics and Computational Science

Jan 29, 12:00 - 13:00

B9 L2 R2325

HPC

Beyond Bayesian Uncertainty: a Variational Perspective

Chérief-Abdellatif Badr-Eddine, CNRS (Chargé de Recherche) Researcher, Laboratoire de Probabilités, Statistique et Modélisation (LPSM), Sorbonne Université, France

Jan 28, 12:00 - 13:00

B4/5 L0 A0215

Empowering Natural Intelligence with Artificial Intelligence: a Mathematician's Perspective

Alfio Quarteroni, Emeritus Professor, Politecnico di Milano and EPFL

Jan 25, 14:00 - 15:00

B9, L2, R2322

Computational mathematics numerical methods Scientific Machine Learning scientific computing applied mathematics

Dec 7 - Dec 13, 2025

Tales of a Spur Hunter: The Wandering Spur

Michael Peter Kennedy, Full Professor, School of Electrical and Electronic Engineering, University College Dublin

Dec 7, 12:00 - 13:00

B9 L2 R2325

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 L0 A0215

Nuclear Fusion Powered by AI and HPC

Vladimir Pimanov, Postdoctoral Research Fellow, Applied Mathematics and Computational Science

Dec 4, 12:00 - 13:00

B9 L2 R2325

AI artificial intelligence Fusion simulation

Nov 23 - Nov 29, 2025

Finite Element Approximation of Eigenvalue Problems in Mixed Form

Daniele Boffi, Associate Dean for Faculty, Computer, Electrical and Mathematical Sciences and Engineering

Nov 27, 12:00 - 13:00

B9 L2 R2325

KAUST Workshop on Distributed Training in the Era of Large Models

Nov 24 - 26, All day

Auditorium between B4 & 5, L0, R0215

machine learning Distributed algorithms generative models ML

Nov 16 - Nov 22, 2025

Geospatial Data Science for Public Health Surveillance

Paula Moraga, Assistant Professor, Statistics

Nov 20, 12:00 - 13:00

B9 L2 R2325

statistical methods geospatial data analysis health surveillance Public Health spatio-temporal data analysis

Nov 9 - Nov 15, 2025

First Provably Optimal Asynchronous SGD for Homogeneous and Heterogeneous Data

Arto Maranjyan, Ph.D. Student, Computer Science

Nov 13, 12:00 - 13:00

B9 L2 R2325

machine learning optimization asynchronous algorithms Training

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

Qilong Pan, Ph.D. Student, Statistics

Nov 12, 09:00 - 11:00

B5 L5 R5209

statistics spatio-temporal statistics GPU Computing HPC

Nov 2 - Nov 8, 2025

The KAUST 2025 Workshop on Statistics

Nov 2, 09:00 - Nov 6, 17:00

Between Building 2 / 3, Level 0, Auditorium 0215

Oct 26 - Nov 1, 2025

Unlocking Euclidean Problems with Isotropic Initialization

Mikhail Skopenkov, Research Scientist, Computer Science

Oct 30, 12:00 - 13:00

B9 L2 R2325

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

Oct 19 - Oct 25, 2025

One-on-One Statistical Consulting for KAUST Researchers 2025

Oct 20, All day

B1 L4 R4102

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

Efficient Bayesian Methods for Biostatistics

Janet van Niekerk, Research Scientist, Statistics

Oct 2, 12:00 - 13:00

B9 L2 R2325

bayesian methods

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

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

May 25 - May 31, 2025

Advanced Spatial Methods for Health Surveillance in Saudi Arabia: Data Integration and Cluster Detection

Hanan Alahmadi, Ph.D. Student, Statistics

May 29, 15:00 - 16:00

Building 5, Seaside, Level 5, Room 5209

May 11 - May 17, 2025

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

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

Data Centric Engineering: Hype or Transformation and Engineering the Future?

Mark Girolami, Sir Kirby Laing Professor of Civil Engineering University of Cambridge, United Kingdom

May 6, 12:00 - 13:00

B 2/3 L0 R 0215

A Statistical Construction of the Finite Element Method

Mark Girolami, Sir Kirby Laing Professor of Civil Engineering University of Cambridge, United Kingdom

May 5, 12:00 - 13:00

B 2/3 L0 R 0215

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 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

Mar 23 - Mar 29, 2025

MI is All You Need: Understanding Complex Multivariate Systems Through the Lenses of GenAI

Pietro Michiardi, Professor, Department Head, Data Science Department, EURECOM

Mar 26, 12:00 - 13:00

B1 L4 R4102

Statistical Models and Methods Based on Stochastic Partial Differential Equations

David Bolin, Professor, Statistics

Mar 23, 14:00 - 15:30

B9 L2 R2322; Zoom Meeting ID 93209452060

SPDEs non-Gaussian random fields statistical analysis Metric graphs

Latent Abstractions, Mutual Information and Generative Diffusion Models

Giulio Franzese, Assistant Professor, Data Science Department, EURECOM

Mar 23, 12:00 - 13:00

B1 L4 R4102

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