Events
Apr 24 - Apr 30, 2022
Conditionally Gaussian dynamic models, non-linear models and multi-process models for univariate time series - Lecture 2
Prof. Raquel Prado, Department of Statistics, University of California
B1 L4 R3119
Spatio-Temporal Statistical Models Using Integro-Differential Equations
Prof. Bruno Sanso, Department of Statistics, University of California
B1 L4 R4102
Dynamic linear models: Theory, computation and case studies - Lecture 1
Prof. Raquel Prado, Department of Statistics, University of California
B1 L4 R4102
Model Survival Data with high and ultrahigh dimensional predictors: feature screening and statistical inference - Lecture 2
Yi Li, Professor, Biostatistics, University of Michigan
B1 L4 R4102
Apr 17 - Apr 23, 2022
Gaussian Graphical Regression with High-Dimensional Responses and Covariates
Yi Li, Professor, Biostatistics, University of Michigan
B2 B3 A0215
Enhancing mixing in binary fluids
Prof. Peter J. Schmid, Professor, Mechanical Engineering, KAUST
B9 L2 H2
Energy-Efficient Devices and Circuits for Ultra-Low Power VLSI Applications
Ren Li, PhD Student, Electrical and Computer Engineering
KAUST
Regularized Regression for Survival Data: Methods and Applications
Yi Li, Professor, Biostatistics, University of Michigan
B1 L4 R4102
Apr 10 - Apr 16, 2022
Biomedical research: a world of statistical challenges
Prof. David Gomez-Cabrero, Biological, Environmental Science and Eng, KAUST
B9 L2 H2
CBRC Dual Seminar - Analysis of COVID-19 Severity - DeepSVP computational method
Sakhaa Al-Saedi, PhD Student; Azza Althagafi, PhD Student
KAUST
Geospatial Data Science for Public Health Surveillance
B9 R2322 H1
Approximation of Mean Field Games and related problems - Prof. Elisabetta Carlini - Part 3
Prof. Elisabetta Carlini, Department of Mathematics, University Of Sapienza, Italy
B1 L4 R4102
Approximation of Mean Field Games and related problems - Prof. Francisco Silva -Part 3
Prof. Francisco Silva, Department of Mathematics, University Of Limoges
B1 L4 R4102
Approximation of Mean Field Games and related problems - Prof. Elisabetta Carlini -Part 2
Prof. Elisabetta Carlini, Department of Mathematics, University Of Sapienza, Italy
B1 L4 R4102
Approximation of Mean Field Games and related problems Prof. Francisco Silva -Part 2
Prof. Francisco Silva, Department of Mathematics, University Of Limoges
B1 L4 R4102
Apr 3 - Apr 9, 2022
Approximation of Mean Field Games and related problems - Prof. Francisco Silva - Part 1
Prof. Francisco Silva, Department of Mathematics, University Of Limoges
B1 L4 R4102
Approximation of Mean Field Games and related problems - Prof. Elisabetta Carlini - Part 1
Prof. Elisabetta Carlini, Department of Mathematics, University Of Sapienza, Italy
B1 L4 R4102
Finite element approximation of Stokes equations with non-smooth data
Lucia Gastaldi, Professor Department of Mathematics, University of Brescia
B1 L4 R4102
Organic Electronics for Diagnostics in Physiological Media
Prof. Sahika Inal, Biological, Environmental Science and Engineering, KAUST
B9 L2 H1
Mar 27 - Apr 2, 2022
Random Persistence Diagram Generation
Prof. Vasileios Maroulas, Director of AI and Data Science at the National Institute for Mathematical and Biological Synthesis (NIMBioS), University of Tennessee Knoxville.
KAUST
High-dimensional Regression and Dictionary Learning: Some Recent Advances for Tensor Data
Prof. Waheed Bajwa, Electrical and Computer Engineering, Rutgers University-New Brunswick
B1 L3 R3119
Masterclass on Visual Computing
Dominik Michels, Helmut Pottmann, Ivan Viola, Peter Wonka, Soeren Pirk, Wolfgang Heidrich
KAUST
Research conference "Flow Simulation at the Exascale: Opportunities, challenges and its application in the industry"
Matteo Parsani, David Keyes, Rasha Al Jahdali, Lisandro Dalcin, Bilel Hadri, Hong Im, Ravi Samtaney, Gabriel Wittum
KAUST Library
The Best of Both Worlds: Distributed PCA That is Both Exact and Communication Efficient
Prof. Waheed Bajwa, Electrical and Computer Engineering, Rutgers University-New Brunswick
B9 L2 R2322 H1
Mar 20 - Mar 26, 2022
Waste-free Sequential Monte Carlo
Prof. Nicolas Chopin, Professor of Statistics, ENSAE, Paris
KAUST
