Event Content - (E)

First Letter

(1) | 5 (1) | A (41) | B (22) | C (26) | D (31) | E (34) | F (15) | G (6) | H (7) | I (21) | K (9) | L (18) | M (26) | N (16) | O (18) | P (23) | R (26) | S (30) | T (45) | U (2) | V (8) | W (7) | Z (1) | Β (1)

	Mar 29, 12:00 - 13:00, EE+CS Graduate Seminar: Deep Graph Convolutional Networks (KAUST), Bernard Ghanem, Professor, Electrical and Computer Engineering	Deep learning, GCN, Graduate Seminar
	Oct 10, 12:00 - 13:00, EF-BV: distributed optimization with compressed communication (B9 L2 R2322 H1), Laurent Condat, Senior Research Scientist, Computer Science	big data, distributed computing, Federated learning, Graduate Seminar
	Feb 6, 12:00 - 13:00, EF21-P and friends: Improved theoretical communication complexity for distributed optimization with bidirectional compression (B9 L2 H2 H2)	distributed optimization, EF21-P, gradient descent operation, Graduate Seminar
	Nov 1, 12:00 - 13:00, EF21: A new, simpler, theoretically better, and practically faster error feedback (B9 R2322 H1), Peter Richtarik, Professor, Computer Science	Graduate Seminar
	Nov 14, 12:15 - 14:15, Efficient Algorithms for Vision and Language Learning (B1 L3 R3426), Jun Chen , Ph.D. Student, Computer Science	Ph.D. Dissertation Defense
	Oct 23, 11:30 - 12:30, Efficient Computation Through Tuned Approximation (B9 L2 R2322 H1), David Keyes, Professor, Applied Mathematics and Computational Science	approximation, computation, Graduate Seminar, software
	Dec 17, 14:00 - 15:30, Efficient Machine Learning across Hardware, Software, and Algorithms (B2 L5 R5209), Prof. Mohamed Abdelfattah, Electrical and Computer Engineering Department at Cornell University	algorithms, Efficient, Hardware, machine learning, software, Course
	Feb 4, 18:00 - 20:00, Efficient Machine Learning for Scientific and Medical Applications (B4/5 L0 A0215), Yasir Ghunaim, Ph.D. Student, Computer Science	Efficient Machine Learning, Graph Neural Networks, machine learning, Ph.D. Dissertation Defense
	Apr 18, 12:00 - 13:00, Electric Power to the People: Sustainable, Secure, and Resilient Energy Systems (B9 R2322 H1), Charalambos (Harrys) Konstantinou, Associate Professor, Electrical and Computer Engineering	Graduate Seminar
	Nov 18, 12:00 - 13:00, Eliminating Waiting Time Inequities for Deceased Donor Kidney Transplantation in the USA (B9 L2 H1 R2322), Dr. Joris van de Klundert, Professor of Operations Management, Prince Mohammad Bin Salman College (MBSC) of Business & Entrepreneurship	Equity Maximization, Graduate Seminar, modeling, network flows, organ transplantation, queuing theory, Rawls theory, wait time
	Jan 25, 14:00 - 15:00, Empowering Natural Intelligence with Artificial Intelligence: a Mathematician's Perspective (B9, L2, R2322), Alfio Quarteroni, Emeritus Professor, Politecnico di Milano and EPFL	applied mathematics, Computational mathematics, numerical methods, scientific computing, Scientific Machine Learning, Dean's Distinguished Lecture
	Feb 1, 12:00 - 13:00, Enabling Accurate and Efficient Simulation in Visual Computing - Graduate Seminar - CS (KAUST), Dominik L. Michels, Associate Professor, Computer Science	Graduate Seminar
	Nov 30, 14:30 - 16:00, Enabling Accurate and Efficient Simulation in Visual Computing - Public Colloquium (KAUST), Dominik L. Michels, Associate Professor, Computer Science	visual computing, Public Colloquium
	Dec 1, 12:00 - 13:00, Enabling smart and connected systems (B9 L2 H1 R2322), Ahmed Eltawil, Associate Dean for Research, Computer, Electrical and Mathematical Sciences and Engineering	Graduate Seminar
	Mar 30, 12:00 - 13:00, End-to-Same-End Encryption: Modularly Augmenting an App with an Efficient, Portable, and Blind Cloud Storage (B4 L5 R5220.), Qiang Tang, Senior Lecturer (equal to U.S. Associate Professor), the University of Sydney	cloud storage, End-to-Same-End-Encryption, Seminar
	Mar 28, 12:00 - 13:00, Energy Efficient Neuromorphic computing systems (B9 R2322 H1), Khaled Salama, Professor, Electrical and Computer Engineering	Graduate Seminar
	Apr 26, 12:00 - 13:00, Energy-Efficiency and Security for EdgeAI: Challenges and Opportunities (KAUST), Muhammad Shafique , Professor, Division of Engineering, New York University Abu Dhabi (NYU-AD), United Arab Emirates	Graduate Seminar
	Feb 13, 12:00 - 13:00, Entrepreneurship Explored (B9 L2 H2 H2), Prof.Bülent Erbilgin and Dr.Lama Hakem, KAUST Entrepreneurship Center	entrepreneurship, Graduate Seminar, Market, marketing
	Nov 4, 09:00 - 10:00, Envisioning the Molecular Cell: Mesoscale Modeling Comes of Age (B9 H2 R2325), Prof. Arthur Olson, The Scripps Research Institute, USA	Workshop
	May 12, 12:00 - 13:00, Error Feedback for Communication-Efficient First and Second-Order Distributed Optimization: Theory and Practical Implementation (B9 L2 R2325), Konstantin Burlachenko, Ph.D. Student, Computer Science	Federated learning, Graduate Seminar, software development
	Oct 31, 12:00 - 13:00, Everything PhD students always wanted to know about research* (*but were afraid to ask) (B9 L2 R2322 H1),	Graduate Seminar, PhD student, scientific research
	Nov 8, 12:00 - 13:00, Everything you always wanted to know about single machine large-scale graph analytics (B9 L2 H1), Jasmina Malicevic, EPFL	EPFL, Graduate Seminar, large-scale graph, optimization
	Feb 2, 16:30 - 17:30, Exoplanet Imaging Coronagraphic Mask Development and Testing: A North American Perspective (KAUST), Benjamin L. Gerard, Postdoctoral Scholar, University of California, UC Observatories	Seminar
	Jul 6, 15:00 - 18:00, Explainability and Efficiency in Spatio-Temporal Models: Applications to Traffic Forecasting (B5 L5 R5209), Xiaochuan Gou, Ph.D. Student, Computer Science	Graph Neural Networks, model interpretability, traffic forecasting, Ph.D. Dissertation Defense
	Jun 7, 14:30 - 17:00, Exploiting Data Sparsity in Matrix Algorithms for Adaptive Optics and Seismic Imaging (B2 R5209;), Yuxi Hong, Ph.D. Student, Computer Science	High Performance Computing, machine learning, Matrix Algorithms, Ph.D. Dissertation Defense
	Nov 6, 09:00 - 10:00, Exploranation: A New Science Communication Paradigm (B9 H2 R2325), Prof. Anders Ynnerman, Linköping University, Sweden	Workshop
	Nov 11, 16:00 - 18:00, Exploring Entity Relationship in Pairwise Ranking: Adaptive Sampler and Beyond (KAUST), Lu Yu, Ph.D., Computer Science	Ph.D. Dissertation Defense
	Sep 24, 12:00 - 13:00, Exploring FPGAs for Virtualized In-Network Acceleration (B2 B3 A0215), Dr. Suhaib Fahmy, Associate Professor, Computer Engineering, University of Warwick, UK	accelerators, big data, cloud computing, data centers, FPGA, Graduate Seminar, streaming applications
	Apr 13, 12:00 - 13:00, Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining (KAUST), Mikhail Moshkov, Professor, Applied Mathematics and Computational Science	combinatorial optimization, data mining, Dynamic programming, Graduate Seminar
	Oct 5, 12:00 - 13:00, Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining - 2020 (KAUST), Mikhail Moshkov, Professor, Applied Mathematics and Computational Science	Graduate Seminar
	Jan 24, 12:00 - 13:00, Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining - 2022-01-24 (KAUST), Mikhail Moshkov, Professor, Applied Mathematics and Computational Science	Graduate Seminar
	Feb 15, 18:00 - 20:00, Extracting Semantic and Geometric Information in Images and Videos using GANs (B1 L2 R2202), Rameen Abdal, Ph.D. Student, Computer Science	GaN, Ph.D. Dissertation Defense
	May 8, 12:00 - 13:00, Extraction of Complex DNN Models: Real Threat or Boogeyman? - Graduate Seminar (B9 L2 H2 H2), Prof.N.Asokan, Computer Science, University of Waterloo	complex models, Deep learning, Graduate Seminar, model extraction
	Feb 16, 12:00 - 13:00, Eyes in the Sky: AI-Based Camel Identification and Tracking Using Drones (B9 L2 R2325), Basem Shihada, Program Chair, Computer Science	AI, animal tracking, drones, Graduate Seminar