Events

May 16 - May 10, 2026

KAUST CEMSE STAT Ph.D. Dissertation Defense Xiran Zhang Scalable Methods for Multivariate Normal Probability Estimation with Applications in Confidence Region Detection, Transport Phenomena, and Parallel Computing Using RCOMPSs

Scalable Methods for Multivariate Normal Probability Estimation with Applications in Confidence Region Detection, Transport Phenomena, and Parallel Computing Using RCOMPSs

Xiran Zhang, Ph.D. Student, Statistics

May 14, 15:00 - 17:00

B2 R5209

geospatial statistics spatio-temporal statistics High Performance Computing HPC multivariate statistics GPU Algorithms

KAUST CEMSE STAT Ph.D. Dissertation Defense Fernando Rodriguez Avellaneda Bayesian Spatio-Temporal Modeling for Environmental Monitoring and Epidemiology: Disaggregation and Disease Spread Dynamics

Bayesian Spatio-Temporal Modeling for Environmental Monitoring and Epidemiology: Disaggregation and Disease Spread Dynamics

Fernando Rodriguez Avellaneda, Ph.D. Student, Statistics

May 14, 14:00 - 16:00

B3 R5220

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

May 9 - May 3, 2026

KAUST CEMSE AMCS STAT Graduate Seminar Thursday, May. 7

Fully Decentralized Inference for Spatial Data Using Low-Rank Models

Jianwei Shi, Postdoctoral Research Fellow, Statistics

May 7, 12:00 - 13:00

B9 R2325

statistical inference decentralized systems Geospatial Data geospatial statistics optimization

KAUST CEMSE STAT Ph.D. Dissertation Defense Paolo Victor Redondo Modeling Complex Dependence in Multivariate Time Series, with Applications to Brain Signals

Modeling Complex Dependence in Multivariate Time Series, with Applications to Brain Signals

Paolo Victor Redondo, Ph.D. Student, Statistics

May 5, 15:00 - 17:00

B2 R5209; Zoom Meeting 95773646717

extreme statistics Biostatistics brain signals multivariate statistics Time Series

May 2 - Apr 26, 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

Event Status: Cancelled | 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

On Cross Validation, Log Gaussian Cox Process and Variational Bayes

Hans Montcho, Ph.D. Student, Statistics

Apr 29, 10:00 - 12:00

B2 R5220; Zoom Meeting 99219689653

Bayesian computational technique Bayesian computational statistics latent Gaussian models Point patterns spital point patterns

Disease Nowcasting Using Integrated and Adaptive Statistical Models

Yang Xiao, Ph.D. Student, Statistics

Apr 28, 10:00 - 12:30

B5 R5220; Zoom Meeting 93296195795

Adaptive modeling Public Health bayesian inference

Apr 25 - Apr 19, 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 18 - Apr 12, 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

KAUST CEMSE STAT Ph.D. Dissertation Defense Damilya Saduakhas SPDE-Based Geostatistical and Point Process Models for Environmental and Urban Network Applications

SPDE-Based Geostatistical and Point Process Models for Environmental and Urban Network Applications

Damilya Saduakhas, Ph.D. Student, Statistics

Apr 15, 13:00 - 15:00

B5 R5209; Zoom Meeting 96585312249

SPDEs geostatistics oceanography monitoring multivariate spatial processes environmental applications

Apr 11 - Apr 5, 2026

KAUST CEMSE Dean's Distinguished Lecture Rethinking Research: The Role of Humans in Scientific Discovery in the Age of LLMs*

The Role of Humans in Scientific Discovery in the Age of LLMs — Beyond Asking: Turning LLMs into Research Collaborators

Sir Bashir M. Al-Hashimi, Vice President, Research & Innovation, King’s College London (KCL); Distinguished Professor, Department of Engineering, Faculty of Natural, Mathematical & Engineering Sciences, King’s College London (KCL)

Apr 8, 12:00 - 14:15

B9 R2325

AI artificial intelligence LLM scientific research scientific knowledge Assistive Technology

Statistical Modeling of Financial Extremes and Volatility Dynamics

Junshu Jiang, Ph.D. Student, Statistics

Apr 6, 14:00 - 17:00

B2 R5220

Quantitative finance Statistical Modeling extreme events numerical analysis

Apr 4 - Mar 29, 2026

KAUST CEMSE AMCS STAT Graduate Seminar Thursday, Apr. 2

A Unified Monotonicity Framework for Mean-Field Games

Rita A. Ferreira, Research Scientist, Mean-field Games and Nonlinear PDE

Apr 2, 12:00 - 13:00

B9 R2325

gamma-convergence asymptotic analysis variational analysis Variational mean-field games

Mar 14 - Mar 8, 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 7 - Mar 1, 2026

KAUST CEMSE AMCS STAT Graduate Seminar Ting Li Remote Sensing and Agroinformatics Insights in Saudi Arabia Using Machine Learning

Event Status: Cancelled | 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., Statistics

Mar 3, 10:00 - 12:00

B5 L5 R5220

McKean-Vlasov SDEs bayesian inference markov chains Monte Carlo

Feb 28 - Feb 22, 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 21 - Feb 15, 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 14 - Feb 8, 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 7 - Feb 1, 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 31 - Jan 25, 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 13 - Dec 7, 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

Dec 6 - Nov 30, 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 29 - Nov 23, 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 22 - Nov 16, 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 15 - Nov 9, 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 8 - Nov 2, 2025

The KAUST 2025 Workshop on Statistics

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

Between Building 2 / 3, Level 0, Auditorium 0215

Nov 1 - Oct 26, 2025

Unlocking Euclidean Problems with Isotropic Initialization

Mikhail Skopenkov, Research Scientist, Computer Science

Oct 30, 12:00 - 13:00

B9 L2 R2325

Event Status: Cancelled | 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 25 - Oct 19, 2025

One-on-One Statistical Consulting for KAUST Researchers 2025

Oct 20, All day

B1 L4 R4102

Oct 18 - Oct 12, 2025

Bias-Reduced Estimation of Structural Equations Models

Haziq Jamil, Research Specialist, Statistics

Oct 16, 12:00 - 13:00

B9 L2 R2325

Oct 11 - Oct 5, 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

Oct 4 - Sep 28, 2025

Event Status: Cancelled | Efficient Bayesian Methods for Biostatistics

Janet van Niekerk, Research Scientist, Statistics

Oct 2, 12:00 - 13:00

B9 L2 R2325

bayesian methods

Sep 27 - Sep 21, 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 20 - Sep 14, 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 13 - Sep 7, 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

Sep 6 - Aug 31, 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 31 - May 25, 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 17 - May 11, 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 10 - May 4, 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