UConn Materials Science and Engineering

Xueju “Sophie” Wang Receives 2024 ONR Young Investigator Award

Xueju "Sophie" Wang
Dr. Xueju “Sophie” Wamg

Xueju “Sophie” Wang has been awarded an Office of Naval Research (ONR) 2024 Young Investigator Award in the category Ocean Battlespace Sensing.  The Ocean Battlespace Sensing Department of ONR explores science and technology in the areas of oceanographic and meteorological observations, modeling, and prediction in the battlespace environment; submarine detection and classification (anti-submarine warfare); and mine warfare applications for detecting and neutralizing mines in both the ocean and littoral environment.

One of 24 recipients in various categories, Dr. Wang’s research, entitled A Soft Intelligent Robot for Self-digging, Multi-modal Sensing, and In Situ Marine Sediment Analysis, was recognized by the Littoral Geosciences and subcategory.  The Littoral Geosciences and Optics program supports basic and applied research for expeditionary warfare, naval special warfare, mine warfare and antisubmarine warfare in shelf, near-shore, estuarine, riverine, and riparian environments, with a particular emphasis on robust 4D prediction of environmental characteristics in denied, distant or remote environments.

Dr. Wang earned a Ph.D. from Georgia Institute of Technology in 2016.  She joined the faculty of the Materials Science and Engineering Department (MSE) in 2020 with an appointment in the Institute of Materials Science (IMS).  Since then, she has earned extensive recognition for her research including the National Science Foundation (NSF) CAREER award in 2022; the National Institutes of Health (NIH) Trailblazer Award, also in 2022; and the American Society of Mechanical Engineers (ASME) Orr Early Career Award in 2021 among others.

Wang’s research focuses on soft, stimuli-responsive materials and multifunctional structures; multistability of reconfigurable, magnetically responsive structures, flexible/pressure-tolerant/bio-integrated electronics, soft robotics and intelligent systems; and in-situ/environmental operando experimental techniques.  Her research has been published extensively.