Events
Jun 5 - Jun 11, 2022
May 29 - Jun 4, 2022
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Impact of Digital Technology on Agriculture and Environment
Full Professor Cheikh Ahmadou Bamba, University Cheikh Anta Diop, Dakar, Senegal
-B1 L3 R3119
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Distributed beam tracking for vehicular communications via UAV-assisted cellular network
Prof. Young-Chai Ko, School of Electrical Engineering, Korea University
-B1 L3 R3119
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Stochastic differential games, network of networks and the crowd evacuation problem
Dr. Julian Barreiro Gomez, Center on Stability, Instability, and Turbulence (SITE) at the New York University in Abu Dhabi
-B1 L4 R4102
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Critical Infrastructures and Satellites Security
Roberto Di Pietro, Full Professor in Cybersecurity, Hamad Bin Khalifa University
-B9 L2 H2325
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Distributed Multi-Antenna Communications with Radio Stripes
Prof. Emil Björnson, KTH Royal Institute of Technology, Stockholm, Sweden
-KAUST
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Differentially private testing of symmetry equivalence hypotheses based on the characteristic function
Prof. Simos G. Meintanis, University of Athens
-B1 L4 R4102
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Network processing in the NIC: the case for specialized hardware architectures
Prof. Giuseppe Bianchi, University of Roma Tor Vergata, Italy
-B9 Hall R2325
May 22 - May 28, 2022
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Mathematical Problems in Deep Learning
Prof. Hailiang Liu, Department of Mathematics, Iowa State University, USA
-B1 L4 R4102
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Challenges and opportunities for Satellite Spectrum/Orbit Access (ITU and the International Regulatory Environment)
Prof. Yvon Henri, International Telecom Union, Geneva, Switzerland
-KAUST
May 15 - May 21, 2022
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Computational Nanophotonics: Basics, Challenges and Future Perspectives
Professor Salah S. A. Obayya
-B3 L5 R5209
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On the Precipice of a Global Transition Toward Electric Vehicles
Peter Rawlinson, the Chief Executive Officer and Chief Technology Officer of Lucid
-B20 L2 R2011
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Why Today’s Neural Networks Still Use the 1943 McCullosh and Pitt’s Neuron Model?
Prof. Moncef Gabbouj, Department of Computing Sciences, Tampere University
-B1 L3 R3119
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Stochastic Numerics and Statistical Learning: Theory and Applications Workshop
Stochastic Numerics PI Professor Raul Tempone (Chair) and Computational Probability PI Professor Ajay Jasra (Co-Chair)
-KAUST Campus
May 8 - May 14, 2022
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An Introduction to the Boltzmann equation - Part 3
Prof Daniela Tonon, Department of Mathematics, University of Padova, Italy
-KAUST
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An Introduction to the Boltzmann equation - Part 2
Prof Daniela Tonon, Department of Mathematics, University of Padova, Italy
-KAUST
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An Introduction to the Boltzmann equation - Part 1
Prof. Daniela Tonon, Department of Mathematics, University of Padova, Italy
-KAUST
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Introduction to Computer Simulation - A short course - Lecture 3
Michal A. Mankowski, Assistant Professor, Erasmus School of Economics, Erasmus University Rotterdam, Netherlands
-B1 L4 R4102
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Introduction to Computer Simulation - A short course - Lecture 2
Michal A. Mankowski, Assistant Professor, Erasmus School of Economics, Erasmus University Rotterdam, Netherlands
-B1 L4 R4102
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Introduction to Computer Simulation - A short course - Lecture 1
Michal A. Mankowski, Assistant Professor, Erasmus School of Economics, Erasmus University Rotterdam, Netherlands
-B1 L4 R4102
Apr 24 - Apr 30, 2022
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Time-domain and frequency-domain approaches for multiple and multivariate time series - Lecture 3
Prof. Raquel Prado, Department of Statistics, University of California
-B1 L4 R4102
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Variational Inference for Cutting Feedback in Misspecified Models
Prof. David Nott, Department of Statistics and Data Science, National University of Singapore
-KAUST
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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