Event Content - (D)

First Letter

5 (1) | A (36) | B (17) | C (25) | D (29) | E (29) | F (9) | G (5) | H (7) | I (20) | K (7) | L (17) | M (24) | N (16) | O (14) | P (23) | R (21) | S (28) | T (36) | U (2) | V (7) | W (6) | Z (1) | Β (1)

	Nov 25, 12:00 - 13:00, Data Augmentation is Regularization (B9, L2, R2325), Maurizio Filippone, Associate Professor, Statistics	Graduate Seminar
	Feb 11, 12:00 - 13:00, Data, AI and Cybersecurity: Synergies and Interconnection (B9 L2 H2 H2), Marco Mellia, Department of Control and Computer Engineering, Politecnico di Torino, Italy	artificial intelligence, cybersecurity, Deep learning, Lecture
	Sep 21, 12:00 - 13:00, Data-sparse Algorithms for Large-scale Applications on Emerging Architectures (KAUST), David Keyes, Senior Associate to the President, King Abdullah University of Science and Technology	Graduate Seminar
	Mar 2, 12:00 - 13:00, Data-sparse Methods for Large-scale Applications on Emerging Architectures (B9 L2 H1 R2322), David Keyes, Senior Associate to the President, King Abdullah University of Science and Technology	Graduate Seminar, hierarchical computations
	Apr 24, 09:00 - 17:00, Day 1 - Deep learning and the latest algorithms in artificial intelligence (B4 B5 A0215), Prof. Xavier Bresson, Data Science and AI Research Centre at Nanyang Technological University (NTU) Singapore	Course, Deep learning, machine learning, Nanyang Technological University
	Apr 25, 09:00 - 17:00, Day 2 - Deep learning and the latest algorithms in artificial intelligence (B4 B5 A0215), Prof. Xavier Bresson, Data Science and AI Research Centre at Nanyang Technological University (NTU) Singapore	Course, Deep learning, machine learning, Nanyang Technological University
	Jan 22, 11:30 - 12:30, Decision Trees for Fault Diagnosis in Circuits and Switching Networks (B9 L2 H2325), Mikhail Moshkov, Professor, Applied Mathematics and Computational Sciences	decision trees, Graduate Seminar, switching networks
	Apr 6, 12:00 - 13:00, Deep Continual Learning (KAUST), Mohamed Elhoseiny, Associate Professor, Computer Science	Deep learning, Graduate Seminar
	Sep 20, 12:00 - 13:00, Deep Optics - Joint Design of Imaging Hardware and Reconstruction Methods - Graduate Seminar (B9 R2322 H1), Wolfgang Heidrich, Professor, Computer Science	Graduate Seminar
	Mar 26, 12:00 - 13:00, Deep Predictive Models for Mining Electronic Health Records (B1 L4 R4214), Fenglong Ma, Research Assistant, State University of New York at Buffalo, USA	computational predictions, data mining, healthcare, machine learning, Seminar
	Nov 29, 12:00 - 13:00, DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning (B9 R2322 H1), Panagiotis Kalnis, Professor, Computer Science	Graduate Seminar
	Sep 12, 12:00 - 13:00, Defeating the attacks from bots scrapers hiding behind residential proxy IPs (B9 L2 R2322 H1), Marc Dacier, Professor, Computer Science	Graduate Seminar, operational security, resilient computing
	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
	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
	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
	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
	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
	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