Events

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

The American Statistical Association (ASA) KAUST Student Chapter

One-on-One Statistical Consulting for KAUST Researchers

Mar 11, 10:00 - 16:00

B1 L4 R4102

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

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

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

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

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

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

Dec 1 - Dec 7, 2024

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

Nov 24 - Nov 30, 2024

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

Spatio-Temporal Statistics in Geo-Environmental Data Science

Ying Sun, Associate Professor, Statistics

Nov 26, 15:00 - 16:30

B9, L2, R2322

spatio-temporal statistics

Nov 17 - Nov 23, 2024

The KAUST 2024 Workshop on Statistics

Nov 18, 09:00 - Nov 21, 17:00

Auditorium between Building 4 - 5

May 26 - Jun 1, 2024

Deep Neural Networks for Large-scale Complex Spatial and Spatio-temporal Processes

Pratik Nag , Ph.D. Student, Statistics

May 29, 09:00 - 11:30

B4 L5 R5220

May 19 - May 25, 2024

Visualization, Characterization, and Forecasting of Multivariate and Functional Time Series

Cristian Felipe Jiménez Varón, Ph.D. Student, Statistics

May 22, 14:00 - 16:00

B4 L5 R5220

May 5 - May 11, 2024

Intracellular "in silico microscopes" - Fully 3D Spatio-Temporal Virus Replication Model Simulations

Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences

May 9, 12:00 - 13:00

B9 L2 H2 H2

Apr 28 - May 4, 2024

Statistical Deep-Learning for Spatiotemporal Extremes

Raphaël Huser, Associate Professor, Statistics

May 2, 12:00 - 13:00

B9 L2 H2 H2

Statistical Analysis of Topological Patterns in Dependence Networks of Brain Time Series Data

Anass B. El-Yaagoubi, Ph.D. (former), Statistics

May 2, 11:00 - 12:00

B1 L4 R4102

Apr 21 - Apr 27, 2024

On Distribution-Free Risk Control

Michael Jordan, Professor Emeritus, University of California, Berkeley

Apr 24, 15:00 - 16:00

B9 L4 R4225

An Alternative View on AI: Collaborative Learning, Statistical Incentives, and Social Welfare

Michael Jordan, Professor Emeritus, University of California, Berkeley

Apr 23, 12:00 - 13:00

Auditorium between B2 and 3

Apr 14 - Apr 20, 2024

Traveling wave solutions of Reaction-Diffusion equation in Biological mathematics

Hoyoun Kim, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences

Apr 18, 12:00 - 13:00

B9 L2 H2 H2

Towards Self-explainable Deep Learning Models

Prof. Michael Kampffmeyer, UiT The Arctic University of Norway

Apr 16, 16:30 - 17:00

B1 L4 R 4102

Can neural ODEs forecast weather?

Dr. Markus Heinonen, Academy Research Fellow, Aalto Univeristy, Finland

Apr 16, 16:00 - 16:30

B1 L4 R 4102

Mar 31 - Apr 6, 2024

A Correlated Three-Dimensional Integral Fractional Ornstein-Uhlenbeck Process Model for Animal Movement

Jose Hermenegildo Ramirez Gonzalez, Postdoctoral Research Fellow, Statistics

Apr 4, 12:00 - 13:00

B9 L2 H2 H2

Mar 24 - Mar 30, 2024

Classification of time series in high dimensions

Sarbojit Roy, Postdoctoral Research Fellow, Statistics

Mar 28, 12:00 - 13:00

B9 L2 H2 H2

Mar 17 - Mar 23, 2024

Tracking rare events within the ensemble Kalman filtering

Gaukhar Shaimerdenova, Ph.D. Student, Applied Mathematics and Computational Sciences

Mar 21, 12:00 - 13:00

B9 L2 H2 H2

Mar 3 - Mar 9, 2024

Acoustics with a spin: A new paradigm for acoustic metamaterials, scattering, and propagation of sound

Mohamed D. Farhat, Research Scientist, Waves in Complex Media

Mar 7, 12:00 - 13:00

B9 L2 H2 H2

Feb 25 - Mar 2, 2024

Quadratic Forms in Gaussian Random Variables: A Survey of Theoretical Results and Applications

Mohanad Ahmed, Research Specialist, Information Science Lab

Feb 29, 12:00 - 13:00

B9 L2 H2 H2

Principled Scaling of Deep Neural Networks

Soufiane Hayou, Postdoc, Simons Institute, UC Berkeley

Feb 26, 09:00 - 10:00

B9 L4 R4225

Neural Networks

Feb 11 - Feb 17, 2024

Fuzzy clustering of circular time series based on a new distance with applications to wind data

Ángel López Oriona, Postdoctoral Research Fellow, Statistics

Feb 15, 12:00 - 13:00

B9 L2 H2 H2

Feb 4 - Feb 10, 2024

Dependence and Causality in Functional Brain Networks

Hernando Ombao, Professor, Statistics

Feb 8, 12:00 - 13:10

B9 L2 H2 H2

Jan 28 - Feb 3, 2024

Think globally, act locally: from domain decomposition to nonlinear model order reduction

Prof. Charbel Farhat

Jan 30, 14:00 - 15:00

KAUST Auditorium R2030

Jan 21 - Jan 27, 2024

On space-time models: models and applications

Elias Teixeira Krainski, Postdoctoral Research Fellow, Statistics

Jan 25, 12:00 - 13:00

B9 L2 H2 H2

Dec 3 - Dec 9, 2023

Multilevel Monte Carlo for a class of Partially Observed Processes in Neuroscience

Dec 7, 12:00 - 13:00

B9 L2 H2

Nov 26 - Dec 2, 2023

Discretization and Optimization in Applied Geometry

Nov 30, 12:00 - 13:00

B9 L2 H2

Nov 19 - Nov 25, 2023

Efficient Inference for Joint Models of Multivariate Longitudinal and Survival Data Using INLAjoint

Denis Rustand, Postdoctoral Research Fellow, Statistics

Nov 23, 12:00 - 13:00

B9 L2 H2

Nov 12 - Nov 18, 2023

How do periodic structures affect nonlinear waves?

David Ketcheson, Professor, Applied Mathematics and Computational Sciences

Nov 16, 12:00 - 13:00

B9 L2 H2

Experimental Design Statistical Workshop

Hernando Ombao, Professor, Statistics

Nov 14, 09:00 - Nov 15, 17:00

B1 L4 R4102

Family of Mean-Mixtures of Multivariate Normal Distributions

Prof. Narayanaswamy Balakrishnan, Department of Mathematics and Statistics, McMaster University

Nov 12, 15:30 - 16:30

B1 L4 R4102

Models and Inference for Non-Gaussian Random Vectors and Fields

Sagnik Mondal, Ph.D. Student, Statistics

Nov 12, 12:30 - 14:30

B5 L5 R5209

Nov 5 - Nov 11, 2023

The KAUST 2023 Workshop on Statistics

Nov 6, 09:00 - Nov 9, 17:00

B18 R4203

statistics data science modeling big data sustainability health environment

Oct 29 - Nov 4, 2023

Free Boundary Problems in Science and Engineering

Rafayel Teymurazyan, Research Scientist, Applied Mathematics and Computational Sciences

Nov 2, 12:00 - 13:00

B9 L2 H2

Spatial and Spatio-temporal Statistical Methods for Environment and Public Health Applications

Andre Victor Ribeiro Amaral , Ph.D. Student, Statistics

Nov 2, 11:45 - 14:30

B9 L4 R4225

Oct 22 - Oct 28, 2023

Spatio-temporal Bayesian analysis of excess mortality in 5 European countries in 2020

Prof. Virgilio Gómez-Rubio, Department of Mathematics, Universidad de Castilla-La Mancha, Spain

Oct 26, 12:00 - 13:00

B9 L2 H2

Oct 15 - Oct 21, 2023

Latent Gaussian Spatial Modelling with Change of Support

Erick Chacon Montalvan, Postdoctoral fellow, Statistics Geohealth Group, KAUST

Oct 19, 12:00 - 13:00

B9 L2 H2

Oct 8 - Oct 14, 2023

Space–Time Multiscale Modeling and Numerics of Sorption Kinetics

Clarissa Astuto, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences

Oct 12, 12:00 - 13:00

B9 L2 H2

Oct 1 - Oct 7, 2023

How many sample points do we need for least squares?

Diogo Gomes, Program Chair, Applied Mathematics and Computational Sciences

Oct 5, 12:00 - 13:00

B9 L2 H2

Sep 24 - Sep 30, 2023

Decision Trees for Fault Diagnosis in Circuits and Switching Networks - 2023-09-28

Mikhail Moshkov, Professor, Applied Mathematics and Computational Sciences

Sep 28, 12:00 - 13:00

B9 L2 H2

Sep 17 - Sep 23, 2023

Predictive Performance Test based on the Exhaustive Nested Cross-Validation for High-dimensional data

Iris Ivy Gauran, Postdoctoral Research Fellow, Biostatistics Group

Sep 21, 12:00 - 13:00

B9 L2 H2

Sep 10 - Sep 16, 2023

Goodness-of-fit tests for multivariate skewed distributions based on the characteristic function

Maicon J. Karling, Postdoctoral Research Fellow, Statistics

Sep 14, 12:00 - 13:00

B9 L2 H2

Spatial Models and Extreme-Value Methods for Wildfire Risk Assessment

Daniela Cisneros, Ph.D. Student, Statistics

Sep 11, 16:00 - 17:00

B3 L5 R5220

extreme statistics Applied Machine Learning geospatial statistics