Event Content

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First Letter

(1) | 5 (1) | A (39) | B (22) | C (26) | D (31) | E (31) | F (13) | G (6) | H (7) | I (21) | K (8) | L (17) | M (26) | N (16) | O (18) | P (23) | R (26) | S (29) | T (43) | U (2) | V (8) | W (7) | Z (1) | Β (1)

	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, Professor, Applied Mathematics and Computational Science	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
	Nov 3, 12:00 - 13:00, Don’t be the Jean-Claude Van Damme of Your Research Area (B9, L2, R2325), Ahmed El-Roby, Associate Professor, School of Computer Science, Carleton University	Graduate Seminar
	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, Ph.D. 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, Ph.D. Dissertation Defense
	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, Course, Efficient, Hardware, machine learning, software
	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
	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
	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, Ph.D. Dissertation Defense, traffic forecasting
	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
	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
	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 Science	Graduate Seminar
	Oct 6, 12:00 - 13:00, FIFA Research Institute (B9 L2 R2325), Silvio Giancola, Research Scientist, Image and Video Understanding Lab	AI, FIFA, Graduate Seminar, Sports
	Feb 18, 08:00 - Feb 20, 17:00, Fifth KAUST-NVIDIA Workshop on Accelerating Scientific Applications Using GPUs (B4 B5 A0215), Timothy Lanfear , Brent Leback	supercomputing, Workshop
	Feb 2, 15:30 - 16:30, Fighting against cyber threats from a system perspective (B4 L5 R5220.), Prof. David Bromberg, Distributed computing systems, University of Rennes (IRISA)	cyber threats, Seminar
	Feb 28, 12:00 - 13:00, Filling the Resources Gap with Approximate Mobile Computing (B9 R2322 H1), Veljko Pejović, Assistant professor at the Faculty of Computer and Information Science (UL FRI), University of Ljubljana, Slovenia	Graduate Seminar
	Oct 21, 12:00 - 13:00, Finding the linchpins of the dark web: Understanding and detecting malicious infrastructure (B9 L2 H1 R2322), Dr. Sumayah Alrwais, Assistant Professor, King Saud University, Riyadh, KSA	Cyber attacks and defenses, cybersecurity, Graduate Seminar, malicious infrastructure detection, Web and Network security
	Dec 4, 08:30 - 11:00, First Provably Optimal Asynchronous SGD for Homogeneous and Heterogeneous Data (B4/5 L0 A0215), Arto Maranjyan, Ph.D. Student, Computer Science	asynchronous algorithms, machine learning, optimization, Ph.D. Dissertation Defense, Training
	Nov 13, 12:00 - 13:00, First Provably Optimal Asynchronous SGD for Homogeneous and Heterogeneous Data (B9 L2 R2325), Arto Maranjyan, Ph.D. Student, Computer Science	asynchronous algorithms, Graduate Seminar, machine learning, optimization, Training
	Nov 23, 12:00 - 13:00, From a Virtual Red Sea to the Urban Scales of NEOM: A Decade of Progress Driven by Computational Sciences (KAUST), Ibrahim Hoteit, Professor, Earth Science and Engineering	Graduate Seminar
	Apr 8, 12:00 - 13:00, From Bioinformatics to Translational and Health Informatics: Whitening the Black Box (B9 H1), Prof. Yasser EL-Manzalawy, Information Sciences and Technology, Pennsylvania State University	Graduate Seminar, machine learning, Pennsylvania State University
	Dec 1, 12:00 - 13:00, From Intrusion Tolerance to Trust and Recovery: A Research Overview (B9 L3 R3223), Professor Miguel Correia, Computer Science and Engineering Department, Instituto Superior Técnico, Universidade de Lisboa	Seminar
	Sep 15, 12:00 - 13:00, From the Ball-Proximal (Broximal) Point Method to Efficient Training of LLMs (B9 L2 R2325), Peter Richtarik, Professor, Computer Science	AI, algorithms, Graduate Seminar, LLM, machine learning, optimization
	Mar 3, 12:00 - 13:00, Gaming (in)security (B9, L2, R2325), Marc Dacier, Professor, Computer Science	Graduate Seminar
	Nov 17, 12:00 - 13:00, Gaussian Splatting: A Novel Paradigm for 3D Scene Representation and Rendering (B9 L2 R2325), Ivan Viola, Professor, Computer Science	Graduate Seminar
	Feb 8, 12:00 - 13:00, Generative Adversarial Networks and Generative Modeling (KAUST), Peter Wonka, Professor, Computer Science	Graduate Seminar
	Feb 15, 20:10 - 22:00, Generative Models for Neural Fields (B1 L2 R2202), Ivan Skorokhodov, Ph.D. Student, Computer Science	Deep generative models, Ph.D. Dissertation Defense
	Apr 10, 13:00 - 15:00, Genetic Algorithms for Optimization of Machine-learning Models and their Applications in Bioinformatics (B3 L5 R5209), Arturo Magana Mora, Ph.D., Computer Science	bioinformatics, biology, data mining, genetics, machine learning, Ph.D. Dissertation Defense
	Apr 11, 12:00 - 13:00, Geospatial Data Science for Public Health Surveillance (B9 R2322 H1)	Graduate Seminar
	Nov 25, 12:00 - 13:00, Hidden Backdoors in Deep Learning Systems (B9 L2 H1 R2322), Prof. Ben Zhao, Computer Science, University of Chicago, USA	Lecture
	Jun 20, 11:00 - 13:00, High-Performance Scientific Applications Using Mixed Precisions and Low-Rank Approximations Powered by Task-based Runtime Systems (B9 L4 R4223), Rabab Alomairy, Postdoctoral Research Fellow, King Abdullah University of Science and Technology	Algorithmic redesign, Ph.D. Dissertation Defense, Task based Runtime Systems, Tile Low Rank
	Oct 22, 11:45 - 13:00, Hihooi: Fusing Workload Scalability with Strong Consistency for Transactional Databases (B9 H1), Michael Sirivianos, Assistant Professor of Computer Engineering, Cyprus University of Technology	Graduate Seminar
	Jun 12, 16:00 - 17:00, How Can Data Science Change Everyday Life? (B1 L3 R3119), Prof. Wadii Boulila, Computer Science, Prince Sultan University	Seminar
	Apr 19, 12:00 - 13:00, How do people explore virtual environments? Capturing and modeling visual behavior in VR (KAUST), Belen Masia, Associate Professor in the Computer Science Department at Universidad de Zaragoza	Graduate Seminar
	Mar 24, 15:00 - 16:00, How to Preserve Privacy in Learning? (KAUST), Di Wang, Ph.D. Student, Computer Science and Engineering, State University of New York at Buffalo	Seminar
	Aug 3, 11:00 - 12:00, Hybrid Analysis and Modeling as an Enabler for Digital Twins (B1 L4 R4214), Prof. Adil Rasheed, Computer Science and Engineering, Norwegian University of Science and Technology	hybrid modelling, Seminar
	Dec 1, 12:00 - 13:00, I/O Coordination for Better Resource Sharing - From HPC to AI Storage (B9, Level 2, Room 2325), Xiaosong Ma, Department Chair and Professor of Computer Science, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)	ai storage, Graduate Seminar
	Apr 28, 15:00 - 16:30, Imaginative AI: A Decade+ Journey Towards Human-level imaginative AI skills transforming Species Discovery, Content Creation, Autonomous Agents, Healthcare, and Beyond (B9 L2 H2), Mohamed Elhoseiny, Associate Professor, Computer Science	Public Colloquium
	Mar 4, 11:30 - 12:30, Imaginative Vision Language Models: Towards human-level imaginative AI skills transforming species discovery, content creation, self-driving cars, and health both physical and emotional (B9 L2 H2), Mohamed Elhoseiny, Associate Professor, Computer Science	Graduate Seminar
	Nov 20, 11:30 - 12:30, Improving Interpretation Faithfulness for Transformers (B9 L2 H2 H2), Di Wang, Assistant Professor, Computer Science	Graduate Seminar, interpretation faithfulness, nlp, transformers
	Oct 20, 15:00 - 16:00, Inference for Longitudinal Data After Adaptive Sampling (B9 L2 H2), Prof. Susan Murphy, Statistics and Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University	Reinforcement Learning, Seminar
	Apr 12, 12:00 - 13:00, Ingesting and Processing Data Efficiently for Machine Learning (KAUST), Ana Klimovic, Assistant Professor, Systems Group of the Computer Science Department, ETH Zurich.	Graduate Seminar
	Mar 13, 14:30 - 15:30, Inter-Surface Maps (B4 L5 R5209), Prof.Leif Kobbelt	3D shapes, inter-surface maps, Lecture
	Nov 5, 14:00 - 15:00, Interactive High-Quality Visualization of Large-Scale Particle Data (B2 L5 R5209), Mohamed Ibrahim, Postdoctoral Research Fellow, Computer Science	aliasing artifact, high-quality rendering, large-scale simulation, particle data, Ph.D. Dissertation Defense, sampling, visible particles, visualization
	Nov 9, 12:00 - 13:00, Interactive Visual Data Analysis (KAUST), Eduard Gröller, Associate Professor of Practical Informatics at the Vienna University of Technology	Graduate Seminar
	Nov 7, 15:00 - 17:00, Interpretable Learning on Heterogeneous Graphs (B3 L5 R5220), Qiang Yang, Ph.D. Student, Computer Science	Ph.D. Dissertation Defense
	Mar 22, 12:30 - 14:30, Interpretation, Verification and Privacy Techniques for Improving the Trustworthiness of Neural Networks (B1 L3 R3119), Arnaud Dethise, Ph.D. Student, Computer Science	Ph.D. Dissertation Defense
	Apr 15, 11:30 - 12:30, Intracellular "in silico microscopes" - Fully 3D Spatio-Temporal Virus Replication Model Simulations (B9 L2 H2), Gabriel Wittum, Professor (former), Applied Mathematics and Computational Science	Graduate Seminar
	May 8, 10:00 - 11:30, Introduction to Computer Simulation - A short course - Lecture 1 (B1 L4 R4102), Michal A. Mankowski, Assistant Professor, Erasmus School of Economics, Erasmus University Rotterdam, Netherlands	Computer simulations, Course
	May 9, 10:00 - 11:30, Introduction to Computer Simulation - A short course - Lecture 2 (B1 L4 R4102), Michal A. Mankowski, Assistant Professor, Erasmus School of Economics, Erasmus University Rotterdam, Netherlands	Computer simulations, Course
	May 10, 10:00 - 11:30, Introduction to Computer Simulation - A short course - Lecture 3 (B1 L4 R4102), Michal A. Mankowski, Assistant Professor, Erasmus School of Economics, Erasmus University Rotterdam, Netherlands	Computer simulations, Course
	Nov 8, 10:00 - 11:30, Introduction to Computer Simulation - A short course II - Part 1 (B1 L3 R3119), Prof. Michal Mankowski, Assistant Professor of Operations Research, Erasmus University Rotterdam, Netherlands	Course
	Nov 9, 10:00 - 11:30, Introduction to Computer Simulation - A short course II - Part 2 (B1 L3 R3119), Prof. Michal Mankowski, Assistant Professor of Operations Research, Erasmus University Rotterdam, Netherlands	Course
	Nov 10, 10:00 - 11:30, Introduction to Computer Simulation - A short course II - Part 3 (B1 L3 R3119), Prof. Michal Mankowski, Assistant Professor of Operations Research, Erasmus University Rotterdam, Netherlands	Course
	Apr 24, 14:00 - 15:30, Introduction to High Performance Computational Chemistry with an Application of Hierarchical Matrices (B2 B3 A0215), Associate Professor Edmond Chow, School of Computational Science and Engineering, College of Computing, Georgia Institute of Technology	Georgia Tech, multipole, quantum chemistry, Seminar
	Jun 28, 12:50 - 14:00, IoT via 5G and Beyond 5G Satellite Systems (KAUST), Prof. Giovanni Giambene, Information Engineering and Mathematics, University of Siena, Italy	5G, IoT, Satellite Systems, Seminar
	May 16, 12:00 - 13:00, It is Okay to not be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection (ArtEmis 2.0) (B9 R2322 H1), Mohamed Elhoseiny, Associate Professor, Computer Science	Graduate Seminar
	Nov 4, 08:30 - Nov 6, 10:00, KAUST Cell Visualization Summit 2019 (B9 H2 R2325)	nanovisualization, visual computing, visualization, Workshop
	Jan 20, 08:00 - Jan 22, 17:00, KAUST Research Conference Digital Health 2020 (B19 L2 H1), Takashi Gojobori, Ibn Sina Distinguished Professor (former), Bioscience	artificial intelligence, big data analytics, computational science, Conference, digital health, Omics