Events
Oct 10 - Oct 16, 2021
Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation
Nikolas Kantas, Associate Professor, Department of Mathematics, Imperial College London
KAUST
Oct 3 - Oct 9, 2021
Sep 26 - Oct 2, 2021
Randomized multilevel Monte Carlo for inference
Kody J.H. Law, Professor, Applied Mathematics in the Department of Mathematics, University of Manchester and Manchester Institut
KAUST
Sep 12 - Sep 18, 2021
Developing Aramco’s Next Generation Operational Systems for the Red Sea and the Arabian Gulf
Ibrahim Hoteit, Professor, Earth Science and Engineering
KAUST
Sep 5 - Sep 11, 2021
Aug 29 - Sep 4, 2021
Sequential Monte Carlo Algorithms for Agent-Based Models of Disease Transmission
Jeremy Heng, Applied Mathematics and Computational Sciences (AMCS), ESSEC Business School, Singapore
KAUST
Aug 15 - Aug 21, 2021
Machine Learning in Healthcare: When Low Sample Size is not a Limitation
Dr. Ricardo Henao, Biostatistics and Bioinformatics, Duke University
KAUST
Jun 6 - Jun 12, 2021
May 30 - Jun 5, 2021
May 2 - May 8, 2021
Apr 25 - May 1, 2021
The Role of Volcanic Activity in Climate and Global Change
Georgiy L. Stenchikov, Professor, Earth Science and Engineering
KAUST
Apr 18 - Apr 24, 2021
Apr 4 - Apr 10, 2021
Mar 28 - Apr 3, 2021
Mar 21 - Mar 27, 2021
Mar 14 - Mar 20, 2021
On Discovering Nature’s Equations from Observations
Jesper Tegner, Professor, BESE Division, KAUST
KAUST
Mar 7 - Mar 13, 2021
Analysis of the compressible two-phase flow
Dr. Ewelina Zatorska, Senior Lecturer in the Applied and Numerical Analysis, Imperial College London
KAUST
Feb 21 - Feb 27, 2021
Feb 14 - Feb 20, 2021
Forward-prediction and Backward-design by Machine Learning
Prof. Xiangliang Zhang
KAUST
Feb 7 - Feb 13, 2021
Jan 31 - Feb 6, 2021
Effective Literature Search
Nevena Tomic, Library Subject Specialist, PSE, KAUST
KAUST
Jan 24 - Jan 30, 2021
Dec 6 - Dec 12, 2020
Nov 29 - Dec 5, 2020
Transparent and Robust Causal Inference in Data Science
Carlos Cinelli, Ph.D. candidate, Department of Statistics, UCLA
KAUST