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	Oleg Gorshkov, Visiting Researcher, Statistics	Time Series
	Oleg Serikov, Research Consultant, Adaptive Machine Learning
	Omar Knio, Professor, Applied Mathematics and Computational Sciences	bayesian inference, combustion, computational fluids mechanics, High Performance Computing, uncertainty quantification
	Feb 25, 12:00 - 13:00, On Adversarial Network Attacks, Robustness, and Certification (KAUST), Bernard Ghanem, Professor, Electrical and Computer Engineering	Graduate Seminar
	Mar 18, 12:00 - 13:00, On Discovering Nature’s Equations from Observations (KAUST), Jesper Tegner, Professor, BESE Division, KAUST	Graduate Seminar
	Apr 24, 15:00 - 16:00, On Distribution-Free Risk Control (B9 L4 R4225), Michael Jordan, Professor Emeritus, University of California, Berkeley	Lecture
	Mar 15, 15:00 - 16:00, On Inference About the Smoothness Parameter in Gaussian Matern Random Fields (B1 L4 R4102), Prof. Victor DeOliveira, Professor in Department of Management Science and Statistics in the Carlos Alvarez College of Business	Seminar
	Nov 7, 12:00 - 13:00, On mean-field game price models (B9 L2 H1 R2322), Diogo Gomes, Program Chair, Applied Mathematics and Computational Sciences	linear-quadratic problem, mean-field games, modeling, optimal transport with constraints, price formation, supply and demand balance, Graduate Seminar
	Apr 30, 12:00 - 13:00, On Optimal Regularization in Estimation, Detection, and Classification (KAUST), Tareq Al-Naffouri, Professor, Electrical and Computer Engineering	computational Complexity, Convex Gaussian Min-max theorem, linear systems, Graduate Seminar
	Jan 25, 12:00 - 13:00, On space-time models: models and applications (B9 L2 H2 H2), Elias Teixeira Krainski, Postdoctoral Research Fellow, Statistics	Graduate Seminar
	Oct 29, 12:00 - 13:00, On the approximation of the spectrum of differential operators (KAUST), Daniele Boffi, Associate Dean for Faculty, Computer, Electrical and Mathematical Sciences and Engineering	Graduate Seminar
	Nov 19, 12:00 - 13:00, On Unbiased Estimation of the Score Function for a Class of Partially Observed Diffusions (KAUST)	Graduate Seminar
	One bad apple can spoil a robot swarm (News)	computing, engineering, statistics, News
	Mar 11, 10:00 - 16:00, One-on-One Statistical Consulting for KAUST Researchers (B1 L4 R4102)	Event
	Nov 12, 15:00 - 16:00, Optimal Singular Value Thresholding in Correlated Noise (B19 Auditorium), Prof. David L. Donoho, Department of Statistics, Stanford University	Lecture
	Nov 12, 12:00 - 13:00, Optimization applied to energy systems, autonomous vehicles, and matching (KAUST), Ricardo Manuel Pinto de Lima, Research Scientist, Applied Mathematics and Computational Sciences	Graduate Seminar