Nonlinear Optimal Control and Filtering beyond the HJB Equation Alessandro Astolfi, Professor, Applied Mathematics and Computational Science Nov 19, 12:00 - 13:00 B9 R2325 nonlinear optimal control optimal control Filtering theory PDEs non-linear feedback
Mathematical and Computational Models of Fluid-Solid Interactions in the Subsurface Maryam Alghannam, Ibn Rushd Assistant Professor, Earth Systems Science and Engineering Nov 12, 12:00 - 13:00 B9 R2325 computational models fluid dynamics computational fluid dynamics
KAUST Statistics Research Day Nov 3, 08:55 - 16:30 B19, Hall1 Bayesian Statistics Biostatistics spatial statistics geospatial statistics computational statistics extreme statistics
Bayesian Decision-Theoretic Privacy Christian P. Robert, Full Professor, Department of Applied Mathematics (CEREMADE), Paris Dauphine-PSL University; Nov 2, 12:00 - 13:00 B3 R5209 Data Privacy statistical privacy bayesian adversial privacy privacy-preserving machine learning privacy-preserving AI bayesian methods
On the Difficulties of Assessing Statistical Privacy Christian P. Robert, Full Professor, Department of Applied Mathematics (CEREMADE), Paris Dauphine-PSL University; Nov 1, 12:00 - 13:00 B9 R2325 Bayesian Statistics statistical privacy privacy bayesian adversial privacy
Fourier-Spectral Methods for the Vlasov-Poisson System Giovanni Russo, Full Professor of Numerical Analysis, Department of Mathematics and Computer Science, University of Catania (UNICT) Oct 29, 12:00 - 13:00 B9 R2325 Vlasov-Poisson system fourier spectral methods splitting methods adaptive methods
Saudi HPC/AI Conference 2026 Oct 26, 08:00 - Oct 28, 17:00 KAUST HPC AI big data Data Analytics machine learning artificial intelligence
Reading Theorems in Lean Diogo Gomes, Associate Dean for Students, Computer, Electrical and Mathematical Sciences and Engineering Oct 22, 12:00 - 13:00 B9 R2325 proof assistant Computational mathematics Applied Machine Learning mathematics mathematical modelling
Diogo Gomes, Associate Dean for Students, Computer, Electrical and Mathematical Sciences and Engineering
Solvers That Don't Choose Sides Esmail Abdul Fattah, Postdoctoral Research Fellow, Statistics Oct 15, 12:00 - 13:00 B9 R2325 sparse computation scientific computing programming abstractions dense linear algebra Sparse Linear Algebra sTiles
Approximate Bayesian inference for structural equation models Haziq Jamil, Research Specialist, Statistics Oct 8, 12:00 - 13:00 B9 R2325 Laplace approximation Bayes estimators copulas R
Finite Element Approximation of Fluid-Structure Interaction Problems Fabio Credali, Postdoctoral Research Fellow, Applied Mathematics and Computational Science Oct 1, 12:00 - 13:00 B9 R2325 finite element method approximation fluid dynamics Computer simulations
Physics-Informed Spatiotemporal Surrogate Modeling and Robust Operational Optimization for CO₂ Applications in Subsurface Flow under Permeability Uncertainty Zhao Beichen, Visiting Student, Applied Mathematics and Computational Science Sep 17, 12:00 - 13:00 B9 R2325 Physics-informed Neural Networks Deep learning numerical simulations uncertainty quantification subsurface fluid flow
NVIDIA Days at KAUST Sep 15, 20:45 - Sep 17, 17:00 B2/3 A0215 HPC NVIDIA agentic AI systems Physical AI digital twins robotics weather GPU quantum computing
Threshold Dynamics and Delayed Closure in a Moving-Boundary Model of Epidermal Wound Healing Zhang Zhiwen, Postdoctoral Research Fellow, Applied Mathematics and Computational Science Sep 10, 12:00 - 13:00 B9 R2325 healthcare technologies numerical analysis analytical tools numerical simulations healthcare analytics
The Event Horizon Telescope: From the First Images to the First Movies of Black Holes Laurent Loinard, Professor of Astronomy, Institute for Radio Astronomy and Astrophysics (IRyA), National Autonomous University of Mexico (UNAM) Sep 7, 16:00 - 17:00 B20 Auditorium Astrophysics Visualization High Performance Computing algorithms telescope statistical inference computational analysis galaxy black holes astrometry
Geospatial Data Science for Public Health Surveillance Paula Moraga, Associate Professor, Statistics Sep 3, 12:00 - 13:00 B9 R2325 geospatial data analysis health monitoring spatio-temporal disease data climate data health policy
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
Bayesian Spatio-Temporal Modeling for Environmental Monitoring and Epidemiology: Disaggregation and Disease Spread Dynamics Fernando Rodriguez Avellaneda, Postdoctoral Research Fellow, Marine Science May 14, 14:00 - 16:00 B3 R5220
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
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
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
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 (former), 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
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, Postdoctoral Research Fellow, 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
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
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
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
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 (former), Statistics Apr 6, 14:00 - 17:00 B2 R5220 Quantitative finance Statistical Modeling extreme events numerical analysis
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
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, Associate 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
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
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
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
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
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
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
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
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
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
Daniele Boffi, Associate Dean for Faculty, Computer, Electrical and Mathematical Sciences and Engineering
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
Geospatial Data Science for Public Health Surveillance Paula Moraga, Associate Professor, Statistics Nov 20, 12:00 - 13:00 B9 L2 R2325 statistical methods geospatial data analysis health surveillance Public Health spatio-temporal data analysis
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
