Deep is a recent graduate from the University of Texas where he obtained a B.S. and M.S. in Aerospace Engineering.  As an undergraduate student, he worked on a software-defined GNSS receiver and developed a driver-recognition algorithm capable of identifying drivers based on their habits.  As a graduate student, Deep worked on synthesizing correct-by-construction control protocols with applications in aircraft power/thermal management systems and in human-robot interaction.  In his spare time, Deep enjoys reading and playing sports (tennis, frisbee and cricket). Welcome Deep!

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