Jian-Xun Wang
Assistant Professor, Aerospace and Mechanical Engineering
Areas of Interest
Prof. Wang’s research focuses on data-driven/augmented computational modeling, which broadly revolves around scientific machine learning, Bayesian data assimilation, and uncertainty quantification.
His research interests involve:
- Surrogate modeling of fluid and fluid-structure dynamics
- Data-augmented modeling of physiological systems (e.g., cardiovascular systems)
- Forward and inverse modeling of computational physics
Websites
Education
Postdoctoral Research, Mechanical Engineering, University of California at Berkeley, 2018
Ph.D., Aerospace Engineering, Virginia Tech, 2017
M.S., Ocean Engineering, Virginia Tech, 2017
M.S., Mechanical Engineering, Harbin Institute of Technology, 2013
B.S., Naval Architecture and Ocean Engineering, Harbin Institute of Technology, 2011
