Events
Apr 24 - Apr 30, 2022
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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
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Spatio-Temporal Statistical Models Using Integro-Differential Equations
Prof. Bruno Sanso, Department of Statistics, University of California
-B1 L4 R4102
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Dynamic linear models: Theory, computation and case studies - Lecture 1
Prof. Raquel Prado, Department of Statistics, University of California
-B1 L4 R4102
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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
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Apr 17 - Apr 23, 2022
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Gaussian Graphical Regression with High-Dimensional Responses and Covariates
Yi Li, Professor, Biostatistics, University of Michigan
-B2 B3 A0215
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Enhancing mixing in binary fluids
Prof. Peter J. Schmid, Professor, Mechanical Engineering, KAUST
-B9 L2 H2
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Energy-Efficient Devices and Circuits for Ultra-Low Power VLSI Applications
Ren Li, PhD Student, Electrical and Computer Engineering
-KAUST
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Regularized Regression for Survival Data: Methods and Applications
Yi Li, Professor, Biostatistics, University of Michigan
-B1 L4 R4102
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Apr 10 - Apr 16, 2022
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Biomedical research: a world of statistical challenges
Prof. David Gomez-Cabrero, Biological, Environmental Science and Eng, KAUST
-B9 L2 H2
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CBRC Dual Seminar - Analysis of COVID-19 Severity - DeepSVP computational method
Sakhaa Al-Saedi, PhD Student; Azza Althagafi, PhD Student
-KAUST
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Geospatial Data Science for Public Health Surveillance
-B9 R2322 H1
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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
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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
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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
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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
Apr 3 - Apr 9, 2022
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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
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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
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Finite element approximation of Stokes equations with non-smooth data
Lucia Gastaldi, Professor Department of Mathematics, University of Brescia
-B1 L4 R4102
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Organic Electronics for Diagnostics in Physiological Media
Prof. Sahika Inal, Biological, Environmental Science and Engineering, KAUST
-B9 L2 H1
Mar 27 - Apr 2, 2022
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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
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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
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Masterclass on Visual Computing
Dominik Michels, Helmut Pottmann, Ivan Viola, Peter Wonka, Soeren Pirk, Wolfgang Heidrich
-KAUST
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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
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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
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Waste-free Sequential Monte Carlo
Prof. Nicolas Chopin, Professor of Statistics, ENSAE, Paris
-KAUST
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