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
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B1 L4 R4102
Events
Jun 4 - May 29, 2022
Distributed beam tracking for vehicular communications via UAV-assisted cellular network
Prof. Young-Chai Ko, School of Electrical Engineering, Korea University
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B1 L3 R3119
Critical Infrastructures and Satellites Security
Roberto Di Pietro, Full Professor in Cybersecurity, Hamad Bin Khalifa University
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B9 L2 H2325
Distributed Multi-Antenna Communications with Radio Stripes
Prof. Emil Björnson, KTH Royal Institute of Technology, Stockholm, Sweden
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KAUST
Differentially private testing of symmetry equivalence hypotheses based on the characteristic function
Prof. Simos G. Meintanis, University of Athens
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B1 L4 R4102
Network processing in the NIC: the case for specialized hardware architectures
Prof. Giuseppe Bianchi, University of Roma Tor Vergata, Italy
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B9 Hall R2325
May 28 - May 22, 2022
Mathematical Problems in Deep Learning
Prof. Hailiang Liu, Department of Mathematics, Iowa State University, USA
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B1 L4 R4102
Challenges and opportunities for Satellite Spectrum/Orbit Access (ITU and the International Regulatory Environment)
Prof. Yvon Henri, International Telecom Union, Geneva, Switzerland
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KAUST
May 21 - May 15, 2022
Computational Nanophotonics: Basics, Challenges and Future Perspectives
Professor Salah S. A. Obayya
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B3 L5 R5209
On the Precipice of a Global Transition Toward Electric Vehicles
Peter Rawlinson, the Chief Executive Officer and Chief Technology Officer of Lucid
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B20 L2 R2011
Why Today’s Neural Networks Still Use the 1943 McCullosh and Pitt’s Neuron Model?
Prof. Moncef Gabbouj, Department of Computing Sciences, Tampere University
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B1 L3 R3119
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)
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KAUST Campus
May 14 - May 8, 2022
An Introduction to the Boltzmann equation - Part 3
Prof Daniela Tonon, Department of Mathematics, University of Padova, Italy
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KAUST
An Introduction to the Boltzmann equation - Part 2
Prof Daniela Tonon, Department of Mathematics, University of Padova, Italy
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KAUST
An Introduction to the Boltzmann equation - Part 1
Prof. Daniela Tonon, Department of Mathematics, University of Padova, Italy
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KAUST
Introduction to Computer Simulation - A short course - Lecture 3
Michal A. Mankowski, Assistant Professor, Erasmus School of Economics, Erasmus University Rotterdam, Netherlands
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B1 L4 R4102
Introduction to Computer Simulation - A short course - Lecture 2
Michal A. Mankowski, Assistant Professor, Erasmus School of Economics, Erasmus University Rotterdam, Netherlands
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B1 L4 R4102
Introduction to Computer Simulation - A short course - Lecture 1
Michal A. Mankowski, Assistant Professor, Erasmus School of Economics, Erasmus University Rotterdam, Netherlands
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B1 L4 R4102
Apr 30 - Apr 24, 2022
Time-domain and frequency-domain approaches for multiple and multivariate time series - Lecture 3
Prof. Raquel Prado, Department of Statistics, University of California
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B1 L4 R4102
Variational Inference for Cutting Feedback in Misspecified Models
Prof. David Nott, Department of Statistics and Data Science, National University of Singapore
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KAUST
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
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B1 L4 R3119
Spatio-Temporal Statistical Models Using Integro-Differential Equations
Prof. Bruno Sanso, Department of Statistics, University of California
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B1 L4 R4102
Dynamic linear models: Theory, computation and case studies - Lecture 1
Prof. Raquel Prado, Department of Statistics, University of California
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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
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B1 L4 R4102
Apr 23 - Apr 17, 2022
Gaussian Graphical Regression with High-Dimensional Responses and Covariates
Yi Li, Professor, Biostatistics, University of Michigan
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B2 B3 A0215
Enhancing mixing in binary fluids
Prof. Peter J. Schmid, Professor, Mechanical Engineering, KAUST
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B9 L2 H2
Energy-Efficient Devices and Circuits for Ultra-Low Power VLSI Applications
Ren Li, PhD Student, Electrical and Computer Engineering
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KAUST
Regularized Regression for Survival Data: Methods and Applications
Yi Li, Professor, Biostatistics, University of Michigan
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B1 L4 R4102
Apr 16 - Apr 10, 2022
Biomedical research: a world of statistical challenges
Prof. David Gomez-Cabrero, Biological, Environmental Science and Eng, KAUST
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B9 L2 H2
CBRC Dual Seminar - Analysis of COVID-19 Severity - DeepSVP computational method
Sakhaa Al-Saedi, PhD Student; Azza Althagafi, PhD Student
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KAUST
Geospatial Data Science for Public Health Surveillance
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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
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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
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B1 L4 R4102
