I am in the third year of my doctoral degree at the University of Virginia, studying Mechanical and Aerospace Engineering. Prior to enrolling in my PhD program, I obtained a Master's degree in Mechatronics from Michigan Technological University in 2021. My research centers on soft robotics, specifically addressing the design challenges related to soft wearable robotics. This includes improving mobility aid, comfort, flexibility, safety, and integration into daily life, to promote positive transformation. At present, my main area of interest is the modeling and control of soft robots that are enabled with distributed sensing. This includes all aspects, ranging from theoretical foundations and sensing techniques, to the actual construction of the robots. Furthermore, I hold student memberships in the American Society of Mechanical Engineers (ASME), the Institute of Electrical and Electronics Engineers (IEEE), and the National Society of Black Engineers (NSBE).
My research interest lies in establishing a unified fundamental theory of modeling and control for all types of soft robots and developing various soft robotics for cyber-physical systems and human assistive technologies. Specifically, my research focuses on theoretical analysis based on the first principle physics modeling and design of soft robots through distributed sensing and morphological computation, establishing an understanding of fluid-structure interaction within soft robots, and the prediction of morphological computation using data-driven models with experimental validation.