Event Content

Content Type

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)

	Nov 26, 15:00 - 16:30, Spatio-Temporal Statistics in Geo-Environmental Data Science (B9, L2, R2322), Ying Sun, Associate Professor, Statistics	spatio-temporal statistics, Public Colloquium
	Nov 18, 16:00 - 17:00, Start your Research Journey at KAUST - Master and Ph.D. degrees in Applied Mathematics, Computer Science, Electrical Engineering and Statistics (KAUST), Aigars Ekers, Assistant Dean, Computer, Electrical and Mathematical Sciences and Engineering	Event
	Jun 1, 16:00 - 18:00, Stationary and Cyclostationary Processes for Time Series and Spatio-Temporal Data (KAUST), Soumya Das, Ph.D. Student, Statistics	PhD Dissertation Defense
	Nov 28, 12:00 - 13:00, Statistical Analysis of Multi-day Solar Irradiance using a Threshold Time Series model (B9 H2 R2325), Carolina D. Euan Campos, Postdoctoral Research Fellow, Statistics	forecasting, nonlinearity, solar energy, solar irradiance analysis, statistical analysis, TAR model, Graduate Seminar
	May 2, 11:00 - 12:00, Statistical Analysis of Topological Patterns in Dependence Networks of Brain Time Series Data (B1 L4 R4102), Anass B. El-Yaagoubi, Ph.D. (former), Statistics	PhD Dissertation Defense
	May 2, 12:00 - 13:00, Statistical Deep-Learning for Spatiotemporal Extremes (B9 L2 H2 H2), Raphaël Huser, Associate Professor, Statistics	Graduate Seminar
	Dec 7, 12:00 - 13:00, Statistical Learning: Causal-oriented and Robust (B9 L2 H2), Professor Peter Bühlmann, Statistics and Mathematics, ETH Zürich	Lecture
	Oct 14, 12:00 - 13:00, Statistical methods to evaluate the effectiveness of cancer treatments in clinical trials (KAUST), Denis Rustand, Postdoctoral Research Fellow, Statistics	Graduate Seminar
	Nov 14, 12:00 - 13:00, Statistical models based on stochastic partial differential equations (B9 L2 H1 R2322), Prof. David Bolin, Statistics, KAUST	SPDEs, statistics, Graduate Seminar
	Feb 20, 12:00 - 13:00, Statistical models for long-range dependent climate data (B9 L2 R2322), Sigrunn Sorbye, Associate Professor, UiT The Arctic University of Norway	climate data, statistical models, Graduate Seminar
	Feb 7, 16:00 - 17:00, Statistical models for studying biodiversity: challenges and contributions (KAUST), Antik Chakraborty, Postdoc, Department of Statistical Science, Duke University	biodiversity, Seminar
	Sep 26, 12:00 - 13:00, Statistics of Extremes (B9 L2 H1 R2322), Raphaël Huser, Associate Professor, Statistics	extreme environmental events, probabilities, risks, Spatial extremes, univariate extremes, Graduate Seminar
	Jun 4, 10:00 - 11:00, Stochastic environmental modeling in a time of convergence: physics meets artificial intelligence (B1 L4 R4102), Prof. Stefano Castruccio, Associate professor, University of Notre Dame, USA	Seminar
	May 1, 12:00 - 13:00, Sub-dimensional Mardia measures of multivariate skewness and kurtosis (B9 L3 R3128), Joydeep Chowdhury, Postdoctoral Research Fellow, Statistics	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
	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
	Mar 17, 12:00 - 13:00, The Maxwell-Stefan system for multi-component diffusion (B9 L2 H2), Athanasios Tzavaras, Professor, Applied Mathematics and Computational Sciences	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 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, Statistical Modeling, Graduate Seminar
	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
	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 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, Ph.D. Student, Applied Mathematics and Computational Sciences	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 Sciences	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, inductive inference, statistics, Graduate Seminar
	Sep 8, 15:00 - 16:00, Uncertainty Quantification of Tsunami Models (B1), Serge Guillas, Professor of Statistics, University College London (UCL)	Environmental Statistics, uncertainty quantification, Seminar
	May 22, 14:00 - 16:00, Visualization, Characterization, and Forecasting of Multivariate and Functional Time Series (B4 L5 R5220), Cristian Felipe Jiménez Varón, Ph.D. Student, Statistics	PhD Dissertation Defense
	Apr 1, 12:00 - 13:00, Waves Functional Materials - 2021-04-01 (KAUST), Ying Wu, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Sep 20, 12:00 - 13:00, Waves Functional Materials: From theory to applications (B9 L2 R2322), Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences	Applications, Wave functional materials, waves, Graduate Seminar
	Sep 12, 12:00 - 13:00, Waves in Complex Media: Theories and Applications (B9 L2 H1), Ying Wu, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Oct 19, 16:00 - 17:00, We used Reinforcement Learning; but did it work? (B9 L2 H2), Prof. Susan Murphy, Statistics and Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University	Digital Behavioral Health, Reinforcement Learning, Seminar
	May 22, 12:00 - May 28, 12:00, Welcome at Kaust UQ School On Numerical Methods For Direct And Inverse Problems 2016 22-28 May (B9 H1 R2322), Raul Tempone, Professor, Applied Mathematics and Computational Sciences	numerical methods, statistics, stochastic differential equations, Conference
	Oct 4, 09:45 - Oct 6, 10:45, Workshop on Computational Space-Time Statistics (B1 L4 R4102)	Environmental Statistics, Statistics of extremes, Workshop
	Mar 13, 09:00 - Mar 15, 15:00, Workshop on Statistical Process Monitoring and Risk Assessment for Engineering and Spatial Environmental Applications (B1 L4 R4102)	Environmental Statistics, spatial statistics, Workshop