Event Content

Content Type

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)

	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, nonexpansive operators, 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, 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
	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, software, Graduate Seminar
	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
	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, modeling, network flows, organ transplantation, queuing theory, Rawls theory, wait time, Graduate Seminar
	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, Market, marketing, Graduate Seminar
	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
	Oct 31, 12:00 - 13:00, Everything PhD students always wanted to know about research* (*but were afraid to ask) (B9 L2 R2322 H1),	PhD student, scientific research, Graduate Seminar
	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, large-scale graph, optimization, Graduate Seminar
	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
	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, streaming applications, Graduate Seminar
	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, model extraction, Graduate Seminar
	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 Sciences	Graduate Seminar
	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, malicious infrastructure detection, Web and Network security, Graduate Seminar
	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	machine learning, Pennsylvania State University, Graduate Seminar
	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
	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, PhD 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, PhD 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, Task based Runtime Systems, Tile Low Rank, PhD Dissertation Defense
	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
	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	interpretation faithfulness, nlp, transformers, Graduate Seminar
	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, sampling, visible particles, visualization, PhD Dissertation Defense
	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	PhD 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	PhD 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, Applied Mathematics and Computational Sciences	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, Bioscience	artificial intelligence, big data analytics, computational science, digital health, Omics, Conference
	Feb 5, 08:00 - Feb 7, 05:00, KAUST Research Workshop on Optimization and Big Data (B19 L3 H2), Peter Richtarik, Professor, Computer Science	asynchronous algorithms, machine learning, optimization, Social Network Analysis, Workshop
	Feb 23, 09:00 - 16:30, Keynote Speaker \| The 8th BEAR PGR Conference & Users Forum 2018 (The University of Birmingham in the United Kingdom), Robert Hoehndorf, Associate Professor, Computer Science	cloud storage, data visualisation, High Performance Computing, Conference
	Nov 22, 12:00 - 13:00, Knowledge-based methods in bioinformatics (B9 R2322 H1), Robert Hoehndorf, Associate Professor, Computer Science	Graduate Seminar
	Aug 26, 12:00 - 13:00, Knowledge-based methods in biomedicine (B9 L2 H1), Robert Hoehndorf, Associate Professor, Computer Science	artificial intelligence, Biostatistics, drug targets, gene-disease associations, Graduate Seminar
	Mar 3, 10:00 - 11:30, Knowledge-based methods in life sciences (B9 L2 H2 R2325), Robert Hoehndorf, Associate Professor, Computer Science	bioinformatics, Computer science, knowledge representation, Public Colloquium
	Nov 11, 12:00 - 13:00, Langevin Monte Carlo as an optimization algorithm (B9 L2 H1 R2322), Adil Salim, Postdoctoral Research Fellow, Computer Science	Langevin Monte Carlo, machine learning, optimization, Graduate Seminar
	Feb 4, 13:00 - 14:00, Large-scale Text and Data Integration for Cancer Genomics Research (B19 L3 H2), Prof. D, Rebholz-Schuhmann (University Cologne, Germany)	cancer research, data mining, genomics, semantic technologies, text mining, Seminar
	Feb 23, 15:00 - 16:30, Large-Scale Visualization of Scientific Data (KAUST), Markus Hadwiger, Professor, Computer Science	data visualisation, Public Colloquium
	Aug 31, 12:00 - 13:00, Large-Scale Visualization of Scientific Data: Volume Data and Flow Fields - 2020-08-31 (KAUST), Markus Hadwiger, Professor, Computer Science	Graduate Seminar
	Aug 30, 12:00 - 13:00, Large-Scale Visualization of Scientific Data: Volume Data and Flow Fields - 2021-08-30 (B9 R2322 H1), Markus Hadwiger, Professor, Computer Science	Graduate Seminar
	Apr 17, 17:30 - 18:30, Latent Space Manipulation of GANs for Seamless Image Compositing (B5 L5 R5220), Anna Fruehstueck, Ph.D., Computer Science	Generative Adversarial Networks, image synthesis, texture synthesis, PhD Dissertation Defense
	Apr 1, 11:30 - 12:30, Learned Imaging Systems (B9 L2 H2), Wolfgang Heidrich, Professor, Computer Science	Graduate Seminar
	Feb 26, 12:00 - 13:00, Learned Optics — Improving Computational Imaging Systems through Deep Learning and Optimization (B9 L2 H2), Wolfgang Heidrich, Professor, Computer Science	Learned Optics, Graduate Seminar
	Oct 7, 12:00 - 13:00, Learning for Visual Data Synthesis and Analysis (B9 L2 H1 R2322), Dr. Timo Ropinski, Professor, Visual Computing, Ulm University, Germany	Deep learning, estimation and segmentation, Monte carlo methods, visual data analysis, visual data synthesis, Graduate Seminar
	Sep 14, 11:30 - 12:30, Learning from Scholarly Attributed Graphs for Scientific Discovery (KAUST), Uchenna Akujuobi, Ph.D., Computer Science	PhD Dissertation Defense
	Nov 12, 15:00 - 16:30, Learning Sequential Modeling Algorithms for Motion Forecasting, Reinforcement Learning, and Vision-Language Understanding (B1 L4 R4214), Deyao Zhu, Ph.D. Student, Computer Science	PhD Dissertation Defense
	Feb 26, 11:30 - 12:30, Learning with Longitudinal Electronic Health Record Data (B9 L2 H2), Ricardo Henao, Associate Professor (former), Bioengineering	Graduate Seminar
	Apr 5, 14:00 - 16:00, Learning-Based Approaches for Next-Generation Intelligent Networks (KAUST), Liang Zhang, Ph.D. Student, Electrical and Computer Engineering	communication network problems, communication networks, PhD Dissertation Defense
	Nov 11, 12:00 - 13:00, Lessons Learned In Building Trustworthy Systems with Trusted Execution Environments (B9 L3 R3223), Valerio Schiavoni, Scientific Coordinator and Lecturer, Centre of Competence for Complex Systems and Big Data, University of Neuchâtel	Seminar
	Feb 7, 15:00 - 16:00, Leveraging Readily Available Data for Low Resource Natural Language Processing (KAUST), Derry Wijaya, Assistant Professor, Computer Science, Boston University	Natural Language Processing, Seminar
	Feb 13, 12:00 - 13:00, Local flex markets from theory to practice: the UK landscape and international experiences (B1 L4 R4214), Jason Avramidis, Director of Innovation and International Flexibility Markets for OakTree Power, UK	Seminar
	Feb 22, 12:00 - 13:00, Look Here! Guiding Attention in Complex Visualizations (KAUST), Manuela Waldner, Assistant Professor at the Research Unit of Computer Graphics of the Institute of Visual Computing and Human-Centered Technology at TU Wien, Austria	Graduate Seminar
	Sep 3, 16:00 - 17:00, Machine Learning Models for Biomedical Ontology Integration and Analysis (KAUST), Fatima Zohra Smaili, Ph.D. Student, Computer Science	PhD Dissertation Defense
	Nov 4, 10:00 - 11:00, Machine Learning Models for Context Aware Recommendation Systems (B3 L5 R5209), Basmah Altaf, Ph.D., Computer Science	contextual constraints, Deep learning, machine learning, modeling, popularity bias effect, quality recommendation, recommender systems, PhD Dissertation Defense
	Feb 19, 12:00 - 13:00, Machine Learning Scan of Complete Genome Sequences of 4,500 Rice Varieties reveals Secrets in the Domestication Process of Crops (B9 L2 H2 R2325), Takashi Gojobori, Distinguished Professor, Bioscience	artificial intelligence, machine learning, Lecture