Event Content - (O)

First Letter

(1) | 5 (1) | A (41) | B (22) | C (26) | D (31) | E (34) | F (15) | G (6) | H (7) | I (21) | K (9) | L (18) | M (26) | N (16) | O (18) | P (23) | R (26) | S (30) | T (45) | U (2) | V (8) | W (7) | Z (1) | Β (1)

	Nov 19, 16:30 - 18:00, Observer-Relative Flow Visualization and Objective Feature Extraction (B1 L4 R4214), Xingdi Zhang, Ph.D. Student, Computer Science	deep learning, scientific computing, visual computing, Ph.D. Dissertation Defense
	Mar 30, 14:00 - 15:00, Omics-based Metastasis Prediction using Machine Learning and Deep Learning (KAUST), Somayah Albaradei, Ph.D. Student, Computer Science	bioinformatics, Computational biology, Computer Vision, machine learning, Ph.D. Dissertation Defense
	Apr 29, 12:00 - 13:00, OmniLedger: A Secure, Scale-Out, Decentralized Ledger via Sharding (B9 L2 H1), Dr Philipp Jovanovic, École Polytechnique Fédérale de Lausanne (EPFL)	Graduate Seminar, scale out, security, transactions
	Nov 10, 11:30 - 13:00, On adopting Gauss maps into geometry tools for Computer-Aided Design (B1, L3, R3426), Victor Ceballos Inza, Ph.D. Student, Computer Science	computer-aided design, gauss maps, Ph.D. Dissertation Defense
	May 4, 09:00 - 11:00, On Complexity of Decision Trees for Decision Tables from Closed Classes (B5 L5 R5220), Azimkhon Ostonov, Postdoctoral Research Fellow, Computer Science	decision trees, machine learning, Ph.D. Dissertation Defense
	Mar 18, 12:00 - 13:00, On Discovering Nature’s Equations from Observations (KAUST), Jesper Tegner, Professor, BESE Division, KAUST	Graduate Seminar
	Apr 30, 14:00 - 15:00, On Knowledge Graph and Causality for Recommender Systems (B1 L4 R4214), Prof. Guandong Xu, School of Software and Advanced Analytics Institute, University of Technology Sydney	data mining, data science, text and data analytics, University of Technology Sydney, Seminar
	Oct 4, 17:00 - 18:00, On Seven Fundamental Optimization Challenges in Machine Learning (KAUST), Konstantin Mishchenko, Ph.D. Student, Computer Science	Ph.D. Dissertation Defense
	Apr 28, 12:00 - 13:00, On Singular Equations Modeling Electrostatic MEMS (B9 L2 R2325), Katerina Nik, Assistant Professor, Applied Mathematics and Computational Science	free boundary problems, Graduate Seminar, MEMS
	Mar 16, 12:00 - 13:00, On Studying Computer Science - 2020-03-16 (KAUST), Peter Wonka, Professor, Computer Science	Computer science, Graduate Seminar
	Sep 7, 12:00 - 13:00, On Studying Computer Science - 2020-09-07 (KAUST), Peter Wonka, Professor, Computer Science	Computer science, Graduate Seminar
	Nov 21, 12:00 - 13:00, On training algorithms for neural networks (B9 L2 R2322 H1), Jinchao Xu, Professor, Applied Mathematics and Computational Science	Deep learning, deep neural networks, Graduate Seminar
	Jul 20, 09:00 - 10:00, Ontology design patterns and methods for integrating phenotype ontologies (B3 L5 R5209.), Sarah Alghamdi, Ph.D. Student, Computer Science	bio-ontology, phenotype ontologies, Ph.D. Dissertation Defense
	Apr 10, 13:00 - 14:30, Ontology Design Patterns for Combining Pathology and Anatomy: Application to Study Ageing and Longevity in Inbred Mouse Strains (B9 R3120), Sarah Alghamdi, Ph.D. Student, Computer Science	biomedicine, computation techniques, data analysis, Ontologies, semantic analysis, Thesis Defense
	Sep 14, 16:00 - 18:30, Optimal Algorithms for Affinely Constrained, Distributed, Decentralized, Minimax, and High-Order Optimization Problems (B5 R5220), Dmitry Kovalev, Ph.D. Student, Computer Science	machine learning, optimization, Ph.D. Dissertation Defense
	Feb 10, 12:00 - 13:00, Optimal Reference Frames, Scaling and Features in Visualization (B9 L2 H1 R2322), Prof. Holger Theisel, Visual Computing, Magdeburg University	Graduate Seminar, visual computing, visualization
	Feb 5, 12:00 - 13:00, Optimization and Learning in Computational Imaging (B9 H1 R2322), Wolfgang Heidrich, Professor, Computer Science	computational imaging, Seminar
	Dec 11, 14:00 - 15:00, Overcoming Catastrophic Forgetting: From Efficiency to Safety (B3 L5 R5220), Lama Alssum, Ph.D. Student, Computer Science	AI, Computer Vision, machine learning, Ph.D. Dissertation Defense