Event Content - (R)

First Letter

5 (1) | A (34) | B (16) | C (24) | D (29) | E (29) | F (9) | G (4) | H (7) | I (20) | K (7) | L (17) | M (21) | N (16) | O (13) | P (23) | R (19) | S (24) | T (33) | U (2) | V (7) | W (6) | Z (1) | Β (1)

	Dec 5, 08:30 - 12:30, RC3 Advisory Board Distinguished Lectures Workshop (B5 L5 R5220), RC3 Advisory Board	Computer science, cybersecurity, resilience, Workshop
	Mar 25, 11:30 - 12:30, RDMA at Hyperscale: Experience and Future Directions (B9 L2 H2), Wei Bai, Principal Software Research Architect, NVIDIA	Graduate Seminar
	Jun 17, 12:00 - 14:00, Reconfigurable Snapshot HDR Imaging Using Coded Masks (KAUST), Masheal Alghamdi, Ph.D., Computer Science	PhD Dissertation Defense
	Sep 16, 12:00 - 13:00, Representation Learning for Personalized Recommendation (B9 L2 H1 R2322), Prof. Xiangliang Zhang	e-commerce industry, learning representations, personalized recommendations, recommender systems, user privacy, Graduate Seminar
	Nov 4, 16:00 - 17:00, Reproducibility in Computer Science - Part 1 (B9 L3 R3223), Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University	artificial intelligence, complex models, Computer science, machine learning, reliability testing, reproducibility issues, scientific enterprise, Workshop
	Nov 5, 16:00 - 17:00, Reproducibility in Computer Science - Part 2 (B9 L3 R3223), Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University	artificial intelligence, complex models, Computer science, machine learning, reliability testing, reproducibility issues, scientific enterprise, Workshop
	Nov 6, 16:00 - 17:00, Reproducibility in Computer Science - Part 3 (B9 L3 R3223), Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University	artificial intelligence, complex models, Computer science, machine learning, reliability testing, reproducibility issues, scientific enterprise, Workshop
	Nov 30, 12:00 - 13:00, Research at the Image and Video Understanding Lab (IVUL) - Graduate Seminar - CS (KAUST), Bernard Ghanem, Professor, Electrical and Computer Engineering	Graduate Seminar
	Feb 15, 12:00 - 13:00, Resilience is the Cybersecurity of the XXI century, and here's why! - 2021-02-15 (KAUST),	Graduate Seminar
	Sep 19, 12:00 - 13:00, Resilience is the Cybersecurity of the XXI century, and here's why! - 2021-09-19 (KAUST),	Graduate Seminar
	Sep 4, 12:00 - 13:00, Resilience is the Cybersecurity of the XXI century, and here's why! - 2022-09-04 (B9 L2 R2322),	Resilience is the Cybersecurity of the XXI century, Graduate Seminar
	Oct 16, 12:00 - 13:00, Resilient Computing: when Dependability meets Cybersecurity (B9 L2 H2 R2325), Prof. Paulo Esteves-Veríssimo, University of Luxembourg, SnT, CritiX	accidental faults, autonomous vehicles, blockchain, cybersecurity, dependability, digital health, dynamic protection, resilient computing, SDN, sustainability, Lecture
	Nov 30, 15:30 - 16:30, Resilient Cyber-Physical and Embedded Systems - Or how to cheat to get to n=f+1 (B5 L5 R5209), Prof. Marcus Völp, Head of the CritiX lab, the Interdisciplinary Centre for Security, Reliability and Trust (SnT), the University of Luxembourg.	cyber-physical systems, ICT, Seminar
	Mar 13, 12:00 - 13:00, Resilient operation of future low-carbon cyber-physical power grids (B9 L2 R2322 H1), Fei Teng, Lecturer, Electrical and Electronic Engineering	resilient cyber-physical, Graduate Seminar
	Dec 10, 12:00 - 13:00, Resistance is Futile: Balancing Opportunities and Security Challenges of Federated Learning (B4 L5 R5220), Prof. Ahmad-Reza Sadeghi, Distinguished Professor of Computer Science, the Technical University of Darmstadt, Germany.	artificial intelligence, Federated learning, Lecture
	Dec 5, 12:00 - 13:00, Reynolds-robust preconditioners for the stationary incompressible Navier--Stokes equations (B9 L2 R2322 H1), Prof.Patrick Farrell, University of Oxford	Navier-Stokes equation, Robustness, Graduate Seminar
	Mar 13, 09:00 - Mar 15, 17:00, Rising Stars in AI Symposium 2022 at KAUST (B4 B5 A0215), Jürgen Schmidhuber, Professor, Computer Science	artificial intelligence, Computer Vision, Deep Reinforcement Learning, machine learning, mathematical optimization, Natural Language Processing, Conference
	May 1, 12:00 - 13:00, Robust and Energy-Efficient Embedded Computing (B9 L1 R3131), Semeen Rehman, Assistant Professor, Electrical Engineering and Information Technology, TU Wien	Seminar
	Mar 13, 15:45 - 16:45, Robust Geometry Processing for Physical Simulation (B4 L5 R5209), Prof.Daniele Panozzo	geometry processing, physical simulation, Lecture