Romeil Sandhu is currently an Assistant Professor at Stony Brook University with appointments in Computer Science, Biomedical Informatics, and Applied Mathematics & Statistics Departments and is the recipient of the 2018 AFOSR YIP Award for work on interactive feedback control for autonomous systems and 2018 NSF CAREER Award for work on geometric optimization of time-varying networks. Romeil first received his B.S. and M.S. degrees from the Georgia Institute of Technology in Electrical Engineering in 2006 and 2009, respectively. Then, under the direction of Professor Allen Tannenbaum, he completed his Ph.D. in 2011 in computer vision and machine learning. Prior to his academic position at Stony Brook, he formed a startup providing government services leading to a successful exit. His current research interest focuses on formally developing theory to bridge the information gap to combat risk complexities associated with the “unknown unknown” (e.g., human interaction) with a particular interest in the fusion of autonomous systems towards “non-expert” operators who possesses expert knowledge. This is often referred to as interactive autonomy.

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