Event Content - (M)

First Letter

2 (2) | 5 (1) | A (17) | B (10) | C (17) | D (18) | E (24) | F (13) | G (7) | H (6) | I (6) | J (4) | K (1) | L (6) | M (17) | N (3) | O (11) | P (11) | Q (4) | R (8) | S (28) | T (16) | U (1) | V (1) | W (7)

	Mar 10, 12:00 - 13:00, Machine learning assisted forward and inverse design modeling (KAUST), Waqas Waseem Ahmed, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences	Graduate Seminar
	Aug 17, 14:30 - 15:30, Machine Learning in Healthcare: When Low Sample Size is not a Limitation (KAUST), Dr. Ricardo Henao, Biostatistics and Bioinformatics, Duke University	Seminar
	Feb 6, 12:00 - 13:00, Mathematical modeling of the stochastic climate system (B9 L2 H1), Georgiy L. Stenchikov, Professor (former), Earth Science and Engineering	climate projections, weather, Graduate Seminar
	Oct 25, 12:00 - 13:00, Mean-Field Games on Networks and Wardrop Equilibria - Graduate Seminar (B9 L2 R2322), Ricardo De Lima Ribeiro, Research Specialist, CEMSE, KAUST	mean-field games, Graduate Seminar
	Nov 5, 14:00 - 15:00, Mixed graphical-basis models for large nonstationary and multivariate spatial data problems (B1 L4 R4102), Dr. William Kleiber, Associate Professor of Applied Mathematics, University of Colorado, USA	multivariate spatial processes, statistical climatology and statistics for energy sciences, Seminar
	Apr 24, 16:00 - 18:00, Model Survival Data with high and ultrahigh dimensional predictors: feature screening and statistical inference - Lecture 2 (B1 L4 R4102), Yi Li, Professor, Biostatistics, University of Michigan	Lecture
	Apr 4, 16:00 - 19:00, Modeling and Inference for Multivariate Time Series, with Applications to Integer-Valued Processes and Nonstationary Extreme Data (B4 L5 R5220), Matheus B. Guerrero, Ph.D. Student, Statistics	autoregressive processes, integer-valued data, multivariate nonstationary extreme data, statistical methods, PhD Dissertation Defense
	Apr 4, 17:00 - 19:00, Modeling and Simulation of Spatial Extremes Based on Max-Infinitely Divisible and Related Processes (B3 L5 R5209), Peng Zhong, Ph.D. Student, Statistics	PhD Dissertation Defense
	Nov 8, 12:00 - 13:00, Modeling water waves: from tsunamis to the kitchen sink (B9 L2 R2322), David Ketcheson, Professor, Applied Mathematics and Computational Sciences	Statistical Modelling, Tsunamis, water waves, Graduate Seminar
	Oct 10, 12:00 - 13:00, Modeling, studying, and forecasting the circulation and Climate of the Red Sea (B9 L2 H1 R2322), Ibrahim Hoteit, Professor, Earth Science and Engineering	Graduate Seminar
	Dec 3, 12:00 - 13:00, Modelling and Simulation of Biological Systems - 2020-12-03 (KAUST), Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Feb 17, 12:00 - 13:00, Modelling and Simulation of Biological Systems - 2022-02-17 (B9 L2 H2), Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Dec 6, 12:00 - 13:00, Modelling and Simulation of Biological Systems - 2022-12-06 (B9 L2 R2322), Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences	Biological systems, Graduate Seminar
	Nov 12, 12:30 - 14:30, Models and Inference for Non-Gaussian Random Vectors and Fields (B5 L5 R5209), Sagnik Mondal, Ph.D. Student, Statistics	PhD Dissertation Defense
	Oct 17, 12:00 - 13:00, Monte Carlo Computation (B9 L2 H1 R2322)	Graduate Seminar
	Dec 7, 12:00 - 13:00, Multilevel Monte Carlo for a class of Partially Observed Processes in Neuroscience (B9 L2 H2)	Graduate Seminar
	Nov 7, 11:00 - 13:00, Multivariate Functional Data Analysis and Visualization (B3 L5 R5220), Zhuo Qu, Ph.D. Student, Statistics	functional data analysis, multivariate functional data, statistics, PhD Dissertation Defense