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First Letter

1 (2) | 2 (7) | 3 (4) | 4 (1) | 5 (4) | 6 (4) | A (460) | B (109) | C (207) | D (192) | E (162) | F (132) | G (71) | H (153) | I (107) | J (90) | K (226) | L (106) | M (416) | N (121) | O (80) | P (245) | Q (22) | R (161) | S (347) | T (245) | U (39) | V (37) | W (76) | X (42) | Y (71) | Z (40) | Β (2) | (2)

	Feb 16, 16:00 - 18:00, Novel computational methods for promoter identification and analysis (B2 L5 R5209), Ramzan Umarov, Ph.D. Student, Computer Science	machine learning, prediction tools, promoters, protein coding, RNA genes, TSS, PhD Dissertation Defense
	Apr 9, 16:00 - 17:00, Novel Computational Methods that Facilitate Development of Cyanofactories for Free Fatty Acid Production by Olaa Motwalli (B3 L5 R5209), Olaa A. Motwalli, Ph.D., Computer Science	bioinformatics, genomics, graph mining, machine learning, PhD Dissertation Defense
	Dec 11, 10:00 - 12:00, Novel Computational Methods to Predict Drug–target Interactions Using Graph Mining and Machine Learning Approaches (B3 L5 R5220), Rawan Olayan, Ph.D., Computer Science	bioinformatics, data integration, data mining, graph mining, machine learning, PhD Dissertation Defense
	Mar 1, 12:00 - 13:00, Novel computational models in biological imaging (KAUST), Xin Gao, Program Chair, Computer Science	Graduate Seminar
	Nov 16, 14:00 - 15:00, Novel Data Mining Methods for Virtual Screening of Biological Active Chemical Compounds by Othman Soufan (H2 B9), Othman Soufan, Ph.D., Computer Science	biomedical applications, Chemical compounds, Computational biology, data mining, machine learning, visualization, PhD Dissertation Defense
	Novel multiphase flow research sees KAUST graduate named ADIPEC 2020 award finalist (News)	News
	NRW’s EUR 1.25M Artificial Intelligence Grant awarded to Dominik L. Michels (News)	grants, News
	NSF KAUST Conference 2016 (News)	NSF KAUST Conference, News
	Feb 6, 14:00 - 16:00, Numerical analysis, physics, and high-performance computing: A firm three-hand shake for next-generation predictive computational fluid dynamics frameworks. (B4 L5 R5220), Matteo Parsani, Associate Professor, Applied Mathematics and Computational Sciences	Public Colloquium
	Nov 1, 15:30 - 17:00, Numerical approximation of McKean-Vlasov SDEs via Stochastic Gradient Descent (B1 L3 R3119), Prof. Gonçalo dos Reis, School of Mathematics, University of Edinburgh	McKean-Vlasov SDEs, stochastic gradient descent, Public Colloquium
	Nov 28, 16:30 - 18:30, Numerical approximation of PDEs on complex geometries: fluid-structure interaction problems and virtual element methods (KAUST), Fabio Credali, Ph.D. Student, Applied Mathematics and Computational Sciences	PhD Dissertation Defense
	Mar 13, 00:00, Numerical Approximation of the Stochastic Cahn-Hilliard Equation and the (Stochastic) Hele-Shaw Problem (B1 L2 R2202), Professor Lubomir Banas (Bielefeld University)	applied mathematics, Seminar
	Nov 7, 14:00 - 16:00, Numerical approximations of Mean-Field-Games (B1 L2 R2202), Serikbolsyn Duisembay, Ph.D. Student, Applied Mathematics and Computational Sciences	mean-field games, PhD Dissertation Defense
	Apr 4, 16:00 - 17:00, Numerical Methods for Energy Minimisation: Application to Machine Learning Algorithms (B2 L5 R5220), Prof. Charalambos Makridakis, Director of the Institute of Applied and Computational Mathematics of FORTH, Greece	Applied Machine Learning, energy, minimization, numerical methods, Public Colloquium
	Mar 23, 14:30 - 17:30, Numerical Methods for Mean Field Games - Session 1 (KAUST), Mathieu Laurière, Postdoc, Operations Research and Financial Engineering, Princeton University, USA	Course
	Mar 30, 14:30 - 17:30, Numerical Methods for Mean Field Games- Session 2 (KAUST), Mathieu Laurière, Postdoc, Operations Research and Financial Engineering, Princeton University, USA	Course
	May 16, 15:00 - 16:00, Numerical methods for stochastic conservation laws with multiplicative rough drivers in the flux (B1 L4 R4214), Håkon A. Hoel, Visiting Researcher, Stochastic Numerics Research Group	numerical analysis, numerical methods, Seminar
	May 21, 12:00 - 13:00, Numerical simulation in engineering and medicine - On multi-scale approaches, scientific software, and uncertainty (B9 H2), Prof. Rolf Krause, Faculty of Informatics, Università della Svizzera Italiana, Lugano	Seminar
	Nuno J. Alves, Ph.D. Student, Applied Mathematics and Computational Sciences	Conservation Laws, Partial Differential Equations
	Nuria Rosinach, Visiting Researcher, Bio-Ontology Research Group
	Nurzhan Yesmagambet, Ph.D. Student, Electrical and Computer Engineering

All Content - (N)

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

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