Guanjin Wang is currently a postdoc of Mechanical Engineering at the University of Maryland. She received her BS (Theoretical and Applied Mechanics) from Harbin Institute of Technology, China, 1st MS (Structural Engineering) from the same institution, 2nd MS (Civil Engineering) from University of Minnesota, Twin Cities, 3rd MS (Mechanical Engineering) from University of Maryland, College Park (UMD), and PhD (Mechanical Engineering) from UMD. Her PhD research focuses on physics-based and data-driven modeling of hybrid robot motion on deformable terrain. Her current research interest is to advance the state of the art of extreme event modeling and computational robophysics by leveraging deep learning.
