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(1) | 5 (2) | 6 (1) | A (159) | B (40) | C (74) | D (58) | E (51) | F (38) | G (17) | H (42) | I (37) | J (26) | K (67) | L (41) | M (113) | N (38) | O (24) | P (61) | Q (6) | R (56) | S (90) | T (68) | U (9) | V (15) | W (16) | X (16) | Y (25) | Z (14) | Β (1) | (1)

	Deng Luo, Ph.D. Student, Computer Science	artificial intelligence, bioinformatics, nanovisualization
	Mar 7, 15:30 - 16:30, Dependability assessment work at City, University of London and possible synergies with RC3 at KAUST (B4 L5 R5209), Reader, the Department of Computer Science, City, University of London.	cybersecurity, dependability, fault tolerance, Seminar
	Dec 6, 12:00 - 13:00, Deploying DNNs in the Embedded Space: Challenges and Opportunities (B9 R2322 H1), Christos-Savvas Bouganis, Reader in Intelligent Digital Systems in the Department of Electrical and Electronic Engineering, Imperial College London, UK	Graduate Seminar
	Nov 27, 11:30 - 12:30, Derivative-Free Global Minimization: Relaxation, Monte Carlo and Sampling (B9 L2 H2 H2), Diogo Gomes, Program Chair, Applied Mathematics and Computational Sciences	Gradient flows, Graduate Seminar, minimization, Monte Carlo, Monte Carlo Methodology
	Sep 26, 12:00 - 13:00, Designing High-Performance and Scalable Middleware for HPC, AI, and Data Science (B9 L2 R2322 H1), Prof. Dhabaleswar K. (DK) Panda, Professor, Computer Science and Engineering, The Ohio State University	artificial intelligence, data science, Deep learning, Graduate Seminar, machine learning
	Feb 12, 08:30 - 09:30, Designing, Synthesizing, and Automating Domain-Specific Accelerators (KAUST), Jian Weng, PhD student, Computer Science Department, UCLA	Digital signal processing, Seminar
	Detecting semi active intra networks components (Research), Sat, Jul 30 2022	Research
	Jan 29, 11:30 - 12:30, Developing, Synthesizing, and Automating Domain-Specific Accelerators (B9 L2 H2), Jian Weng, Assistant Professor, Computer Science	Domain-Specific Accelerators, Graduate Seminar
	Deyao Zhu, Ph.D. Student, Computer Science	Continual Learning, Meta Learning, Reinforcement Learning
	Di Wang, Assistant Professor, Computer Science	data mining, machine learning, privacy, security
	Jan 26, 16:00 - 17:00, Dictionary Attacks on Biometrics (B9 L2 H2), Prof. Nasir Memon, Vice Dean for Academics and Student Affairs and Professor of Computer Science and Engineering at the New York University Tandon School of Engineering	biometrics, dictionary attacks, payment authorization, Seminar, user authentication
	Mar 11, 11:30 - 12:30, Differential Privacy for Modern Deep Learning Models (B9 L2 H2), Di Wang, Assistant Professor, Computer Science	Graduate Seminar
	Oct 17, 11:00 - 12:00, Digital Health: promises and pitfalls (B9 L3 R3223), Prof. Paulo Esteves-Veríssimo, University of Luxembourg, SnT, CritiX	data science, genomics, global digital health strategy, ICT, owner privacy, risks, Seminar
	Dimitrios Kleftogiannis, Ph.D., Computer Science	artificial intelligence, bioinformatics, machine learning
	Apr 29, 11:30 - 12:30, Discovering HTTP/2 DoS Vulnerabilities using Protocol Reverse Engineering (B9 L2 H2), Prof. Sven Dietrich, Computer Science, City University of New York	Graduate Seminar
	Apr 3, 12:00 - 13:00, Discrete conformal mappings and Riemann Surfaces: Theory and Applications (B9 L2 H2), Prof. Alexander I. Bobenko, Technische Universität Berlin	differential geometry, discrete conformal mappings, Lecture, mathematics
	Nov 15, 12:00 - 13:00, Discrete geometric structures for architecture and and computational fabrication (B9 R2322 H1),	Graduate Seminar
	Mar 13, 10:15 - 11:15, Discrete Laplacians for Polygons and Polyhedral (B4 L5 R5209), Prof.Mario Botsch	computer graphics, discrete laplacians, Lecture, polygons, polyhedra
	Mar 13, 13:30 - 14:30, Discrete Surfaces from Developable Strips (B4 L5 R5209), Prof.Christian Müller	developable strips, Geometry, geometry processing, Lecture
	Disease researchers have a way with words (News)	biology, biomedicine, bioscience, Computer science, computing, News
	Sep 9, 12:00 - 13:00, Distributed Algorithms for Computing a Common Fixed Point of a Group of Nonexpansive Operators (B9 L2 H1), Dr. Xiuxian Li, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore	Distributed algorithms, Graduate Seminar, nonexpansive operators
	Divide and conquer pattern searching (News)	Computer science, computing, News
	Dmitry Kovalev, Ph.D. Student, Computer Science	machine learning, optimization
	Dominik L. Michels, Associate Professor, Computer Science	algorithmics, machine learning, numerical simulations, scientific computing, visual computing
	Dominik L. Michels appointed Associate Professor of Computer Science and Applied Mathematics (News)	algorithmics, machine learning, numerical simulations, scientific computing, visual computing, News
	Dominik L. Michels receives the first Procter & Gamble Faculty Award (News)	algorithm, machine learning, numerical simulations, scientific computing, visual computing, News
	Donggang Jia, Ph.D. Student, Computer Science	computer graphics, visualization
	Dr. Basem Shihada and Dr. Sajid Ahmed promoted to Senior Member of IEEE (News, Spotlight)	communication networks, communications, Low complexity sphere decoding, MIMO and Passive radar, MIMO-radar waveform design, Spotlight, News
	Dr. Ciril Bohak Joins the Visual Computing Center (News)	computer graphics, data visualisation, News
	Dr. Ivan Viola has been promoted to the rank of Professor (News)	News
	Dr. KID turns biological models into fun puzzles (News)	News
	Driven to diffraction (News)	bioscience, electrical engineering, light, News
	Drop the zeros for a performance boost (News)	artificial intelligence, big data, Computer science, machine learning, News
	Jun 30, 08:30 - 10:30, Drug Repositioning through the Development of Diverse Computational Methods using Machine Learning, Deep Learning, and Graph Mining (KAUST), Maha Thafar, Ph.D. Student, Computer Science	Computational biology, Deep learning, graph mining, machine learning, PhD Dissertation Defense
	Oct 13, 15:00 - 16:00, Dynamic Programming Multi-Objective Combinatorial Optimization (KAUST), Michal A. Mankowski, Postdoctoral Research Fellow, Computer Science	combinatorial optimization, global sequence alignment, multi-stage optimization algorithm, PhD Dissertation Defense
	ECRC contributions to SIAM CSE21 (News)	computational science and engineering, HPC, research conference, News
	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, Electrical and Mathematical Sciences and Engineering	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	PhD Dissertation Defense
	Oct 23, 11:30 - 12:30, Efficient Computation Through Tuned Approximation (B9 L2 R2322 H1), David Keyes, Senior Associate to the President, King Abdullah University of Science and Technology	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, Course, Efficient, Hardware, machine learning, software
	Egor Shulgin, Ph.D. Student, Computer Science	Federated learning, machine learning, optimization
	Ehab Abdelhamid, Ph.D. Student, Computer Science	data mining, Information retrieval
	El Houcine Bergou, Postdoctoral Research Fellow, ‌InfoCloud	optimization, randomized methods
	El Mehdi Saad, Postdoctoral Research Fellow, Computer Science
	Elaf Jameel Islam, M.S., Computer Science	Deep learning, Genomic signals, Methods, Recognition
	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
	Elmootazbellah Elnozahy, Professor (former), Computer Science	Computer architecture, Cryptography, distributed systems, fault tolerance, High Performance Computing, power-aware computing
	Elnur Gasanov, M.S. Student, Applied Mathematics and Computational Sciences	algorithms, machine learning, optimization
	Emaad Ahmed Manzoor, M.S., Computer Science	machine learning
	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	Public Colloquium, visual computing
	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
	Enas Ahmad, M.S., Computer Science	computer networking and systems, IoT, participatory sensing
	Enas Mohammad Odat, M.S. Student, Computer Science
	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
	Enhancing understanding of genetic regulation (News)	applied mathematics, computational science, genes, genomics, News
	Enlightened route to wireless communications (Spotlight, News)	Spotlight, News
	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
	Eric Feron, Professor, Electrical and Computer Engineering	aerospace software system, control systems, optimization, robotics
	Erick Rodrigues E Silva, M.S. Student, Cyber Resilience Research Group	autonomous vehicles, cyber-physical systems, cybersecurity, IoT
	Eros Kuikel, M.S. Student, Electrical and Computer Engineering
	Eslam Abdelrahman BAKR , Ph.D. Student, Computer Science	Affective Captioning, artificial intelligence, machine learning
	Essam Mansour, Postdoctoral Research Fellow, ‌InfoCloud	cloud computing, mobile computing
	Eva Bones, Ph.D. Student, Computer Science	computer graphics, machine learning, Scientific Visualization
	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
	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, PhD Dissertation Defense
	Nov 6, 09:00 - 10:00, Exploranation: A New Science Communication Paradigm (B9 H2 R2325), Prof. Anders Ynnerman, Linköping University, Sweden	Workshop
	Exploring artificial biosynthesis (News)	bioscience, biosynthesis, Computer science, News
	Nov 11, 16:00 - 18:00, Exploring Entity Relationship in Pairwise Ranking: Adaptive Sampler and Beyond (KAUST), Lu Yu, Ph.D., Computer Science	PhD 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
	Exploring protein form to find function (News)	Computer science, genomics, proteins, News
	Exploring science's fourth paradigm (News)	big data, computational and statistical interface, News
	Apr 13, 12:00 - 13:00, Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining (KAUST), Mikhail Moshkov, Professor, Applied Mathematics and Computational Sciences	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 Sciences	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 Sciences	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, PhD 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
	Fabian and Victor participate in the annual MSR Summer School! (News)	Computer Vision, Deep learning, PhD Summer School 2016, News
	Fabian participates in the Computer Vision Summer School (News)	ICVSS, international event, IVUL, PhD student participated, News
	Facebook AI new language explained by KAUST Professor Xiangliang Zhang (News)	big data, cloud computing, machine learning, News
	Nov 23, 15:30 - 16:30, FADO: A Federated Learning Attack and Defense Orchestrator (B5 L5 R5209), Nuno Neves, Professor at the Department of Computer Science, Faculty of Sciences, the University of Lisboa (FCUL), Portugal.	Federated learning, machine learning, Seminar
	Faisal Al-theeb, Visiting Student, King Abdullah University of Science and Technology
	Faisal Alhindi, Visiting Scholar (former), King Abdullah University of Science and Technology	Data Analyst, Software Developer
	Faisal Mushayt, M.S. Student, Computer Science	Learning in Physical Environments, machine learning
	Faisal Nawab, M.S., Computer Science	big data management, cloud computing, wireless mesh networks
	Faizan Khan, Ph.D. Student, Computer Science
	Faroug Tifratene, Research Technician, Structural and Functional Bioinformatics
	Fatima Zohra Smaili, Ph.D. Student, Computer Science	protein function prediction
	Fatimah Zohra, Ph.D. Student, Computer Science
	Fawaz Alsolami, Ph.D. Student, Computer Science	data mining, machine learning
	Nov 16, 12:00 - 13:00, Federated Learning of a Mixture of Global and Local Models (KAUST), Filip Hanzely, Ph.D., Applied Mathematics and Computational Sciences	Graduate Seminar