Event Content - (A)

First Letter

2 (2) | 5 (1) | A (18) | B (10) | C (17) | D (19) | E (25) | F (13) | G (7) | H (6) | I (6) | J (4) | K (1) | L (7) | M (18) | N (3) | O (13) | P (11) | Q (4) | R (10) | S (30) | T (18) | U (1) | V (1) | W (7)

	Sep 10, 12:00 - 13:00, A cheap rotated characteristic decomposition technique for high-order reconstructions in multi-dimensions with application to instabilities in direct initiation of gaseous detonations in free space (KAUST), Matteo Parsani, Associate Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Apr 4, 12:00 - 13:00, A Correlated Three-Dimensional Integral Fractional Ornstein-Uhlenbeck Process Model for Animal Movement (B9 L2 H2 H2), Jose Hermenegildo Ramirez Gonzalez, Postdoctoral Research Fellow, Statistics	Graduate Seminar
	Feb 10, 15:30 - 16:30, A Distributed Implementation of the Multi-resolution Approximation for Very Large Spatial Data (B1 L4 R4102), Dorit Hammerling, National Center for Atmospheric Research (NCAR)	Seminar, spatial statistics
	Feb 6, 12:00 - 13:00, A Limiting Model for MEMS with Heterogeneous Dielectric Properties (B9, L2, R2325), Katerina Nik, Assistant Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Oct 3, 12:00 - 13:00, A new class of random field models for data on networks (B9 L2 R2322 H1), David Bolin, Associate Professor, Statistics	applied statistics, Gaussian processes, Graduate Seminar, machine learning
	Feb 3, 12:00 - 13:00, A Non-stationary Autologistic Model for Space-time Data (KAUST), Yiping Hong, Postdoctoral Research Fellow, Statistics	Graduate Seminar
	Jan 28, 12:00 - 13:00, A personal and historical view of computational mathematics (KAUST), Tony Chan, President, King Abdullah University of Science and Technology	Graduate Seminar
	Apr 8, 12:00 - 13:00, A Rapid, Accurate and Machine-agnostic Segmentation and Quantification Method for CT-based COVID-19 Diagnosis (KAUST), Xin Gao, Program Chair, Computer Science	COVID-19, Graduate Seminar
	Nov 29, 12:00 - 13:00, A unifying partially-interpretable framework for neural network-based extreme quantile regression (B9 L2 R2322), Raphaël Huser, Associate Professor, Statistics	Artificial Neural Network, Graduate Seminar, quantile regression
	Jul 2, 10:00 - 11:00, Abstract Writing (B3 L5 R5209), Prof. Liching Chiu, Graduate Program of Teaching Chinese as a Second Language (TCSL), National Taiwan University	Scientific Writing, Seminar
	Mar 7, 12:00 - 13:00, Acoustics with a spin: A new paradigm for acoustic metamaterials, scattering, and propagation of sound (B9 L2 H2 H2), Mohamed D. Farhat, Research Scientist, Waves in Complex Media	Graduate Seminar
	Apr 26, 15:00 - 18:00, Almost everything you always wanted to know about NONLINEAR STATE SPACE MODELS (but were afraid to ask) (B1 L4 R4102), Prof, David Stoffer, University of Pittsburgh, Pennsylvania, USA	linear guassian model, Numerical Optimization, Tutorial, university of pittsburgh
	Apr 23, 12:00 - 13:00, An Alternative View on AI: Collaborative Learning, Statistical Incentives, and Social Welfare (Auditorium between B2 and 3), Michael Jordan, Professor Emeritus, University of California, Berkeley	Lecture
	Nov 25, 12:00 - 13:00, An efficient high-order reconstructions multidimensional scheme with application to instabilities in direct initiation of gaseous detonations in free space (KAUST), Matteo Parsani, Associate Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Mar 9, 15:00 - 16:00, Analysis of the compressible two-phase flow (KAUST), Dr. Ewelina Zatorska, Senior Lecturer in the Applied and Numerical Analysis, Imperial College London	Seminar
	Apr 25, 12:00 - 13:00, Applications of random matrix theory for wireless communication and big data processing (B9 L2 H1), Abla Kammoun, Senior Research Scientist, Electrical and Computer Engineering	Graduate Seminar
	Jun 4, 15:00 - 16:00, Approximate Bayesian inference based on dense matrices and new features using INLA (B4 L5 R5220)	Bayesian computational statistics, PhD Dissertation Defense
	Nov 27, 15:30 - 16:30, Asymptotically Exact Variational Bayes for High-Dimensional Probit Models (B1 L4 R4102), Prof. Daniele Durante, Department of Decision Sciences, Bocconi University, Italy	Bayesian approach to inference, decision sciences, Seminar