Event Content - (M)

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)

	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
	Feb 8, 13:00 - 14:00, Machine-learning-assisted Quality of Transmission Estimation in Optical Networks (B9 L4 R4125), Andrea Bianco, Full Professor, Electronics and Telecommunications Department at Politecnico di Torino	artificial intelligence, explainable AI framework, machine learning, Seminar
	Mar 14, 18:30 - 19:30, Making Autonomous Driving more Reliable using Live 3D Digital Twins (KAUST), Fawad Ahmad, PhD Candidate, Computer Science Department, University of Southern California	Graduate Seminar
	Mar 23, 15:30 - 16:30, Making federated learning practical and confidential (B4 L5 R5209), Dr. Ruichuan Chen, Distinguished Member of Technical Staff and a Tech Lead, Nokia Bell Labs	Federated learning, Seminar
	Nov 2, 12:00 - 13:00, Making RPCs first class datacenter citizens (KAUST), Marios Kogias, Researcher, Microsoft Research	Graduate Seminar
	Mar 29, 14:30 - Mar 30, 17:15, Masterclass on Visual Computing (KAUST), Dominik Michels, Helmut Pottmann, Ivan Viola, Peter Wonka, Soeren Pirk, Wolfgang Heidrich	visual computing, Masterclass
	Jul 9, 16:00 - 17:00, Maximizing I/O Bandwidth for Out-of-Core HPC Applications on Heterogeneous Large-Scale Systems (KAUST), Tariq Alturkestani, Ph.D. Student, Computer Science	PhD Dissertation Defense
	Oct 30, 11:30 - 12:30, Memory Forensics 2.0 (B9 L2 H2 H2), Davide Balzarotti, Professor and head of the Digital Security department, EURECOM, France.	cybersecurity, Lecture
	May 17, 15:00 - 17:00, Mining Genome-Scale Growth Phenotype Data through Constant-Column Biclustering (B3 L5 R5209), Majed Alzahrani, Ph.D., Computer Science	Computational biology, data mining, machine learning, PhD Dissertation Defense
	Oct 9, 11:30 - 12:30, Mitigating Bias in Predictions from Machine Learning Models (B9 L2 H2 H2), Ricardo Henao Associate Professor, Bioengineering	machine learning, risk prediction, text generation, Graduate Seminar
	Nov 5, 14:00 - 15:00, Mixed graphical-basis models for large nonstationary and multivariate spatial data problems (B1 L4 R4102), Dr. William Kleiber, Associate Professor of Applied Mathematics, University of Colorado, USA	multivariate spatial processes, statistical climatology and statistics for energy sciences, Seminar
	May 30, 15:30 - 16:30, ML-based Network Intrusion Detection Systems: Resilience threats and a mitigation approach (B4 L5 R5220), António Casimiro is an Associate Professor at the Department of Informatics of the University of Lisboa Faculty of Sciences (FCUL)	cyber threats, cybersecurity, Seminar
	May 4, 12:00 - 13:00, Modeling and Automated Storytelling of Mesoscale Molecular Models (KAUST), Ivan Viola, Professor, Computer Science	biological models, multi-scale 3D visualization, Graduate Seminar
	Dec 3, 12:00 - 13:00, Modelling and Simulation of Biological Systems - 2020-12-03 (KAUST), Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	May 29, 12:00 - 13:00, Modern Techniques of Statistical Optimization for Machine Learning (B9 H1), Tong Zhang, Professor of Computer Science and Mathematics, HKUST	HKUST, machine learning, nonconvex stochastic optimization, statistics, Seminar
	Oct 24, 14:30 - 16:30, Molecular Generation via Deep Generative Models (KAUST), Changsheng Ma, Ph.D. Student, Computer Science	PhD Dissertation Defense
	Feb 24, 12:00 - 13:00, Multi-layer Red Team vs. Blue Team Methods towards Secure Cyber-Physical Energy Systems (B9 L2 H1), Charalambos (Harrys) Konstantinou, Assistant Professor of Electrical and Computer Engineering with Florida A&M University and Florida State University (FAMU-FSU) College of Engineering	Cyber attacks and defenses, cybersecurity, Graduate Seminar
	Mar 29, 18:30 - 19:30, Multi-Scale GPU Resource Management for Deep Learning (KAUST), Mosharaf Chowdhury, Morris Wellman, Assistant Professor of CSE at the University of Michigan, Ann Arbor	Graduate Seminar
	Apr 30, 12:00 - 13:00, Multimodal Video Analysis (B9 L2 H2), Juan Carlos L. Alcazar, Postdoctoral Research Fellow, Image and Video Understanding Lab	Multimodal Video Analysis, Graduate Seminar