Lingyi Zhang (Member, IEEE) received the B.S., M.S., and Ph.D. degrees in electrical and computer engineering from the University of Connecticut, Storrs, in 2014, 2019, and 2020, respectively. Her current research interests include modeling dynamic and uncertain environments for asset allocation and path planning, optimization-based techniques for mission planning and coordination, and adaptive Kalman filtering. She was a co-recipient of the Tammy Blair Award for Best Student Paper at FUSION 2016.