Events
Nov 14 - Nov 21, 2021
Nov 7 - Nov 21, 2021
Nov 7 - Nov 14, 2021
Lessons Learned In Building Trustworthy Systems with Trusted Execution Environments
Valerio Schiavoni, Scientific Coordinator and Lecturer, Centre of Competence for Complex Systems and Big Data, University of Neuchâtel
B9 L3 R3223
Manifold Markov Chain Monte Carlo Methods for Bayesian Inference In Diffusion Models
Prof. Alexandros Beskos, the Dept of Statistical Science, University College London (UCL)
KAUST
On Recently Developed Non-Gaussian Priors and Sampling Methods with Application to Industrial Tomography
Prof. Lassi Roininen, Applied Mathematics, LUT University
B1 L4 R4214
BioAI – Facts, Fiction, and the Future
Jesper Tegner, Professor, Computer Science, KAUST
B9 R2322 H1
Oct 31 - Nov 14, 2021
Oct 31 - Nov 7, 2021
Joint modeling of dependent diverse format data: A review from several case-studies
Giovani Silva, PhD in Mathematics (IST) at the University of Lisbon
KAUST
Particle Approximations For Partially Observed Fluid Dynamics Models
Professor Dan Crisan, Mathematics, Imperial College London
KAUST
High order schemes for hyperbolic balance laws - Topic 3
Giovanni Russo, Full Professor, Mathematics and Computer Science, University of Catania, Italy
B1 L4 R4102
Oct 24 - Nov 7, 2021
Oct 24 - Oct 31, 2021
High order schemes for hyperbolic balance laws - Topic 2
Giovanni Russo,Full Professor,Mathematics and Computer Science, University of Catania, Italy
B1 L4 R4102
High order schemes for hyperbolic balance laws - Topic 1
Giovanni Russo, Professor, Mathematics and Computer Science, University of Catania, Italy
B1 L4 R4102
On supercomputers and engineering applications: DNS, modeling, and GPUs
Mathis Bode, Researcher, Institute for Combustion Technology (ITV) at RWTH Aachen University
B2 L5 R5209
Oct 17 - Oct 31, 2021
Regularity for singular and degenerate pdes: qualitative vs. sharp estimates
José Miguel Urbano, Professor of Mathematics at the University of Coimbra, Portugal
B9 L2 H2
Oct 17 - Oct 24, 2021
Oct 10 - Oct 17, 2021
Bayesian image analysis in Fourier space (BIFS) models and some relationships with Markov random fields
Prof. John Kornak, Biostatistics, University of California, San Francisco
B4 B5 A0215
Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation
Nikolas Kantas, Associate Professor, Department of Mathematics, Imperial College London
KAUST
Theory and Application of Neural Networks III
Jinchao Xu, Affiliate Professor of Information Sciences and Technology, Penn State University
B9 L2 R2322
Theory and Application of Neural Networks II
Jinchao Xu, Affiliate Professor of Information Sciences and Technology, Penn State University
B4 B5 A0215
Close-form Solutions of A Dynamic Monetary Model
Jenny Xiaoe Li, Associate Professor, Economics and Mathematics, Penn State University, Pennsylvania
B4 B5 A0215
Theory and Application of Neural Networks I
Jinchao Xu, Affiliate Professor of Information Sciences and Technology, Penn State University
B4 B5 A0215
Oct 3 - Oct 17, 2021
Present and Future of Reconfigurable Intelligent Surface-Empowered Communications
Ertugrul Basar, Associate Professor, Electrical and Electronics Engineering, Koç University
KAUST
Oct 3 - Oct 10, 2021
Bitcoin and decentralized protocols
Ricardo Pérez-Marco, Visiting Professor at KAUST, CNRS researcher in Paris
B9 R2322 H1
Sep 26 - Oct 10, 2021
Sep 26 - Oct 3, 2021
Frequency Control and stability for Low-Inertia Systems
Ha Thi Nguyen, Assistant Research Professor, Electrical and Computer Engineering, University of Connecticut
KAUST
Randomized multilevel Monte Carlo for inference
Kody J.H. Law, Professor, Applied Mathematics in the Department of Mathematics, University of Manchester and Manchester Institut
KAUST
