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(1) | A (32) | B (4) | C (3) | D (5) | E (2) | F (5) | G (3) | H (12) | I (2) | J (4) | K (7) | L (5) | M (19) | N (11) | O (1) | P (7) | R (5) | S (18) | T (5) | U (1) | V (1) | W (2) | X (5) | Y (7) | Z (5)

	Saleh AlJazzar, Visiting Scholar (former), King Abdullah University of Science and Technology	machine learning, Signal processing, Wireless Communications
	Sami Aldalahmeh, Consultant, King Abdullah University of Science and Technology
	Samy Mounir, M.S. Student, Electrical and Computer Engineering
	Sara Helal, Visiting Scholar, King Abdullah University of Science and Technology
	Saud Alabdulal, M.S. Student, Electrical and Computer Engineering	LiDAR, optical computing
	Sci-Café on Statistics (News)	statistics, News
	Sebastian Leonardo Lalvay Segovia, Sebastian Leonardo Lalvay Segovia > Appointments, Roles and Affiliations
	Shamael Al-Shuhail, M.S. (former), Electrical and Computer Engineering	Compressed Sensing Approach, Multi-carrier Systems
	Shrey Rakesh Maheshwary, Visiting Student, King Abdullah University of Science and Technology
	Shunyuan Shang, M.S. Student, Electrical and Computer Engineering
	Simon Nik, Postdoctoral Research Fellow, Statistics	discrete time series, extreme-value theory, Statistics of extremes, stochastic partial differential equations
	Simon Tarboush, Member, King Abdullah University of Science and Technology
	Sixiu Liu, Ph.D. (former), Earth Science and Engineering	deep learning, seismic processing
	Software	Research
	Mar 23, 14:00 - 15:30, Statistical Models and Methods Based on Stochastic Partial Differential Equations (B9 L2 R2322, Zoom Meeting ID 93209452060), David Bolin, Associate Professor, Statistics	Metric graphs, non-Gaussian random fields, Public Colloquium, SPDEs, statistical analysis
	Stochastic Processes and Applied Statistics Research Group	Front Page
	Sultan Al Sulami, Visiting Scholar, King Abdullah University of Science and Technology
	Syed Abidullah Fareed, Visiting Student (former), Information Science Lab	artificial intelligence, computer networks, embedded systems, energy efficiency, intrusion detection, IoT, machine learning