Events
Jun 5 - Jun 11, 2022
May 29 - Jun 4, 2022
Impact of Digital Technology on Agriculture and Environment
Full Professor Cheikh Ahmadou Bamba, University Cheikh Anta Diop, Dakar, Senegal
B1 L3 R3119
Distributed beam tracking for vehicular communications via UAV-assisted cellular network
Prof. Young-Chai Ko, School of Electrical Engineering, Korea University
B1 L3 R3119
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
Critical Infrastructures and Satellites Security
Roberto Di Pietro, Full Professor in Cybersecurity, Hamad Bin Khalifa University
B9 L2 H2325
Distributed Multi-Antenna Communications with Radio Stripes
Prof. Emil Björnson, KTH Royal Institute of Technology, Stockholm, Sweden
KAUST
Differentially private testing of symmetry equivalence hypotheses based on the characteristic function
Prof. Simos G. Meintanis, University of Athens
B1 L4 R4102
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
Mathematical Problems in Deep Learning
Prof. Hailiang Liu, Department of Mathematics, Iowa State University, USA
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
KAUST
May 15 - May 21, 2022
Computational Nanophotonics: Basics, Challenges and Future Perspectives
Professor Salah S. A. Obayya
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
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
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)
KAUST Campus
May 8 - May 14, 2022
An Introduction to the Boltzmann equation - Part 3
Prof Daniela Tonon, Department of Mathematics, University of Padova, Italy
KAUST
An Introduction to the Boltzmann equation - Part 2
Prof Daniela Tonon, Department of Mathematics, University of Padova, Italy
KAUST
An Introduction to the Boltzmann equation - Part 1
Prof. Daniela Tonon, Department of Mathematics, University of Padova, Italy
KAUST
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
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
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
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
Variational Inference for Cutting Feedback in Misspecified Models
Prof. David Nott, Department of Statistics and Data Science, National University of Singapore
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
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