Event Content - (T)

First Letter

(1) | 2 (2) | 5 (1) | A (21) | B (14) | C (19) | D (21) | E (30) | F (16) | G (11) | H (6) | I (6) | J (4) | K (2) | L (8) | M (18) | N (6) | O (14) | P (11) | Q (4) | R (14) | S (30) | T (23) | U (3) | V (3) | W (8)

	Dec 7, 12:00 - 13:00, Tales of a Spur Hunter: The Wandering Spur (B9 L2 R2325), Michael Peter Kennedy, Full Professor, School of Electrical and Electronic Engineering, University College Dublin	Dean's Distinguished Lecture
	Mar 6, 12:00 - 13:00, The Ball-Proximal (=“Broximal”) Point Method: a New Algorithm, Convergence Theory, and Applications (B9, L2, R2325), Kaja Gruntkowska, PhD student, Statistics, KAUST	Graduate Seminar
	Mar 25, 12:00 - 13:00, The Convex Gaussian Min-Max Theorem: A Powerful Tool for the Analysis of Regularized Convex Optimization Problems (KAUST), Tareq Al-Naffouri, Professor, Electrical and Computer Engineering	Graduate Seminar
	Apr 10, 12:00 - 13:00, The Earliest Arrival of Quantum Advantage (B9 L2 R2325), David Keyes, Professor, Applied Mathematics and Computational Science	Graduate Seminar, quantum computing, quantum processing unit, supercomputers
	Oct 31, 09:00 - Nov 3, 17:00, The KAUST 2022 Workshop on Statistics (B2 B3 A0215)	big data, complex data, data science, modeling, statistics, Workshop
	Nov 6, 09:00 - Nov 9, 17:00, The KAUST 2023 Workshop on Statistics (B18 R4203)	big data, data science, environment, health, modeling, statistics, sustainability, Workshop
	Nov 18, 09:00 - Nov 21, 17:00, The KAUST 2024 Workshop on Statistics (Auditorium between Building 4 - 5)	Workshop
	Nov 2, 09:00 - Nov 6, 17:00, The KAUST 2025 Workshop on Statistics (Between Building 2 / 3, Level 0, Auditorium 0215)	Workshop
	Mar 17, 12:00 - 13:00, The Maxwell-Stefan system for multi-component diffusion (B9 L2 H2), Athanasios Tzavaras, Professor, Applied Mathematics and Computational Science	Graduate Seminar
	Nov 8, 15:00 - 16:00, The role of skewed distributions in Bayesian inference: conjugacy, scalable approximations and asymptotics (B1 L4 R4102), Daniele Durante, Assistant Professor of Statistics at the Department of Decision Sciences, Bocconi University, Italy	bayesian inference, Seminar
	Apr 29, 12:00 - 13:00, The Role of Volcanic Activity in Climate and Global Change (KAUST), Georgiy L. Stenchikov, Professor, Earth Science and Engineering	Graduate Seminar
	May 15, 12:00 - 13:00, The Signed Translation Transformed Depth: Order, Quantiles, Spread, Skewness, and Quantile Regression for Multivariate Functional Data (B9 L2 R2325), Emmanuel Ambriz, Postdoctoral Research Fellow, Statistics	Graduate Seminar, multivariate analysis
	May 14, 16:00 - 17:00, The strength of multidisciplinary research: the joint example of statistics and geoscience (B1 L4 R4102), Dr. Luigi Lombardo, University of Twente, Netherlands	spatial statistics, University of Twente, Seminar
	Sep 3, 12:00 - 13:00, The two faces of correlation (KAUST), Haavard Rue, Program Chair, Statistics	computing, Graduate Seminar, Statistical Modeling
	Jan 30, 14:00 - 15:00, Think globally, act locally: from domain decomposition to nonlinear model order reduction (KAUST Auditorium R2030), Prof. Charbel Farhat	Graduate Seminar
	May 14, 12:00 - 13:00, Time Series Clustering: Pattern Recognition, Forecasting, and Amortized Inference (B9 R2325), Ángel López Oriona, Postdoctoral Research Fellow, Statistics	forecasting, Graduate Seminar, Pattern Recognition, statistical inference, Time Series
	Apr 27, 16:00 - 17:30, Time-domain and frequency-domain approaches for multiple and multivariate time series - Lecture 3 (B1 L4 R4102), Prof. Raquel Prado, Department of Statistics, University of California	Lecture
	Apr 30, 13:00 - 16:00, Towards an Early Warning System for Climate-Sensitive Infectious Diseases: Spatio-Temporal Modeling and Deep Learning for Dengue Forecasting in Brazil (B5 R5209), Xiang Chen, Ph.D. Student, Statistics	climate data, computational predictions, deep learning, explainable AI, geospatial statistics, infectious disease, Public Health, spatio-temporal modeling, Ph.D. Dissertation Defense
	Apr 16, 16:30 - 17:00, Towards Self-explainable Deep Learning Models (B1 L4 R 4102), Prof. Michael Kampffmeyer, UiT The Arctic University of Norway	Seminar
	Mar 21, 12:00 - 13:00, Tracking rare events within the ensemble Kalman filtering (B9 L2 H2 H2), Gaukhar Shaimerdenova, Research Consultant, Stochastic Numerics Research Group	Graduate Seminar
	Nov 30, 16:30 - 17:30, Transparent and Robust Causal Inference in Data Science (KAUST), Carlos Cinelli, Ph.D. candidate, Department of Statistics, UCLA	data science, statistical inference, Seminar
	Apr 18, 12:00 - 13:00, Traveling wave solutions of Reaction-Diffusion equation in Biological mathematics (B9 L2 H2 H2), Hoyoun Kim, Postdoctoral Research Fellow, Applied Mathematics and Computational Science	Graduate Seminar
	Mar 14, 16:00 - 17:00, Truth, Knowledge, P-Values, Bayes, & Inductive Inference (B1 L4 R4102), Edsel A. Peña, iProfessor in the Department of Statistics, University of South Carolina	Bayesian computational statistics, Graduate Seminar, inductive inference, statistics