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

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

Nov 8 - Nov 2, 2025

Computational and Statistical Advances in Spatio-Temporal Modeling: Causality, Deep Learning, and High-Performance Computing

Zipei Geng, Ph.D. Student, Statistics

Nov 2, 16:00 - 18:00

B2, L5, R5209

spatio-temporal modeling causality and deep learning high-performance computing

Nov 1 - Oct 26, 2025

On Computation and Robustness Issues in Spatial Statistics

Sihan Chen, Ph.D. Student, Statistics

Oct 30, 14:30 - 16:30

B2, L5, R5220

robust spatial inference computational methods spatial statistics

Nov 18 - Nov 12, 2023

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

Sep 16 - Sep 10, 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

Jun 10 - Jun 4, 2023

Stochastic environmental modeling in a time of convergence: physics meets artificial intelligence

Prof. Stefano Castruccio, Associate professor, University of Notre Dame, USA

Jun 4, 10:00 - 11:00

B1 L4 R4102

May 6 - Apr 30, 2023

Sub-dimensional Mardia measures of multivariate skewness and kurtosis

Joydeep Chowdhury, Postdoctoral Research Fellow, Statistics

May 1, 12:00 - 13:00

B9 L3 R3128

Nov 12 - Nov 6, 2022

The role of skewed distributions in Bayesian inference: conjugacy, scalable approximations and asymptotics

Daniele Durante, Assistant Professor of Statistics at the Department of Decision Sciences, Bocconi University, Italy

Nov 8, 15:00 - 16:00

B1 L4 R4102

bayesian inference

Multivariate Functional Data Analysis and Visualization

Zhuo Qu, Ph.D. Student, Statistics

Nov 7, 11:00 - 13:00

B3 L5 R5220

functional data analysis multivariate functional data statistics

Jun 4 - May 29, 2022

Differentially private testing of symmetry equivalence hypotheses based on the characteristic function

Prof. Simos G. Meintanis, University of Athens

May 29, 15:30 - 16:30

B1 L4 R4102

Differential privacy Neighborhood of model validation Symmetry testing

Feb 26 - Feb 20, 2022

High Performance Statistical Computing (HPSC): Challenges and Best Practices

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

Feb 24, 19:00 - Feb 25, 02:00

KAUST

applied statistics big data

Jun 12 - Jun 6, 2021

Lagrangian Spatio-Temporal Covariance Functions for Multivariate Nonstationary Random Fields

Mary Lai O. Salvana, Ph.D., Statistics

Jun 7, 17:00 - 19:00

KAUST

Jun 5 - May 30, 2021

Stationary and Cyclostationary Processes for Time Series and Spatio-Temporal Data

Soumya Das, Ph.D. Student, Statistics

Jun 1, 16:00 - 18:00

KAUST

Mar 6 - Feb 28, 2021

On The Coupling between HPC and Statistics: Challenges, Opportunities, and Future Trends of Emerging Techniques -- (Virtual SIAM CSE21 Minisymposium)

Mar 1, 09:00 - 16:00

KAUST

applied statistics big data

Oct 31 - Oct 25, 2020

Spatio-Temporal Statistical Modeling with Application to Wind Energy Assessment in Saudi Arabia

Wanfang Chen, Ph.D., Statistics

Oct 26, 15:00 - 17:00

KAUST

Apr 11 - Apr 5, 2020

Computation of High-Dimensional Multivariate Normal and Student-t Probabilities Based on Matrix Compression Schemes

Jian Cao, Ph.D., Statistics

Apr 6, 16:00 - 18:00

KAUST

Mar 14 - Mar 8, 2020

Functional data depth and its application in the visualization of spatio-temporal covariance structures

Mar 12, 12:00 - 13:00

KAUST

functional data analysis spatio-temporal statistics

Nov 30 - Nov 24, 2019

Asymptotically Exact Variational Bayes for High-Dimensional Probit Models

Prof. Daniele Durante, Department of Decision Sciences, Bocconi University, Italy

Nov 27, 15:30 - 16:30

B1 L4 R4102

Bayesian approach to inference decision sciences

Nov 23 - Nov 17, 2019

2019 Statistics and Data Science Workshop

Nov 18, 00:00 - Nov 20, 23:45

B2 B3 A0215

Nov 16 - Nov 10, 2019

Optimal Singular Value Thresholding in Correlated Noise

Prof. David L. Donoho, Department of Statistics, Stanford University

Nov 12, 15:00 - 16:00

B19 Auditorium

Deepnet Spectra and the Two Cultures of Data Science

Prof. David L. Donoho, Department of Statistics, Stanford University

Nov 12, 12:00 - 13:00

B9 L2 H2 R2325

Apr 6 - Mar 31, 2019

High-dimensional Q-learning for Dynamic Treatment Regimes

Prof. Rui Song, Department of Statistics, North Carolina State University

Mar 31, 12:00 - 13:00

B3 L5 R5220

HQ-learning statistical inference data analysis simulation

Oct 10 - Oct 4, 2015

Workshop on Computational Space-Time Statistics

Oct 4, 09:45 - Oct 6, 10:45

B1 L4 R4102

Statistics of extremes Environmental Statistics