Impact of Digital Technology on Agriculture and Environment
Full Professor Cheikh Ahmadou Bamba, University Cheikh Anta Diop, Dakar, Senegal
-
B1 L3 R3119
Events
May 29 - Jun 4, 2022
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
Distributed beam tracking for vehicular communications via UAV-assisted cellular network
Prof. Young-Chai Ko, School of Electrical Engineering, Korea University
-
B1 L3 R3119
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
