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	Feb 29, 12:00 - 13:00, Quadratic Forms in Gaussian Random Variables: A Survey of Theoretical Results and Applications (B9 L2 H2 H2), Mohanad Ahmed, Research Specialist, Information Science Lab	Graduate Seminar
	Oct 7, 12:00 - 13:00, Quantifying Uncertainty with a Derivative Tracking SDE Model and Application to Wind Power Forecast Data (KAUST), Raul Tempone, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Nov 9, 16:00 - 18:00, Quantile Function Modeling and Analysis for Multivariate Functional Data (KAUST), Gaurav Agarwal, Ph.D., Statistics	PhD Dissertation Defense
	Apr 16, 12:00 - 13:00, Quantitative understanding of transcription factor regulation at network- and molecular-levels through optimization and deep learning (KAUST), Xin Gao, Program Chair, Computer Science	Deep learning, optimization, transcription factor, Graduate Seminar