Events
Nov 24 - Nov 30, 2024
Nov 17 - Nov 23, 2024
The KAUST 2024 Workshop on Statistics
Auditorium between Building 4 - 5
The KAUST Red Sea Research Conference on Frontier Technology
Auditorium between Buildings 2 and 3
Jun 30 - Jul 6, 2024
Synthetic Molecular Communication Across Different Scales: From Theory to Experiments
Robert Schober
B1 L3 R3119
Jun 23 - Jun 29, 2024
Jun 9 - Jun 15, 2024
Jun 2 - Jun 8, 2024
Integration is all you need: a vision of joint sensing, learning, and communication networks
Nuria Gonzalez Prelcic, Professor, Electrical and Computer Engineering, University of California
B1 L3 R3119
May 26 - Jun 1, 2024
May 19 - May 25, 2024
Advancing Plasmonic Modulation: CMOS-Compatible MIS-Schottky Devices for Integrated Photonics
Dr.Nasir Alfaraj, Department of Electrical and computer Engineering, University of Toronto
B9 L3 R3128
Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2024
Stochastic Numerics PI Professor Raul Tempone (Chair) and Computational Probability PI Professor Ajay Jasra (Co-Chair)
B2 B3 A0215
May 12 - May 18, 2024
May 5 - May 11, 2024
Apr 28 - May 4, 2024
Virtual Element Approximation of Eigenvalue Problems
Prof. Francesca Gardini, Università di Pavia
B1 L3 R3119
Towards accelerating catalyst discovery: bridging the gap between modeling, experiments, and large-scale integration
Dr. Jehad Abed, Postdoctoral Researcher, Fundamental AI Research at Meta
B1 L3 R3426
Discovering HTTP/2 DoS Vulnerabilities using Protocol Reverse Engineering
Prof. Sven Dietrich, Computer Science, City University of New York
B9 L2 H2
A Free Boundary Problem for Accretive Growth
Katerina Nik, Postdoc, Applied Mathematics and Modelling Group, University of Vienna
B9 L3 R3128
Apr 21 - Apr 27, 2024
Securing Cyber-Physical and IoT Systems in Smart Living Environments
Prof. Sajal K. Das is a Curators’ Distinguished Professor of Computer Science, and Daniel St. Clair Endowed Chair, Missouri University of Science and Technology, USA.
B4 L5 R5220
On Distribution-Free Risk Control
Michael Jordan, Professor Emeritus, University of California, Berkeley
B9 L4 R4225
An Alternative View on AI: Collaborative Learning, Statistical Incentives, and Social Welfare
Michael Jordan, Professor Emeritus, University of California, Berkeley
Auditorium between B2 and 3