Xuyang Li 

Education:
Ph.D. in Civil Engineering & Computer Science (dual degree), Michigan State University
M.S. in Civil Engineering, Michigan State University
B.S. in Civil Engineering, Wuhan University of Technology

Courses Taught:
ETGR 2102: Applied Mechanics II
ETCE 2163L: Construction Materials and Structures Lab

Bio:

Dr. Xuyang Li has research and teaching interests at the intersection of engineering mechanics and scientific machine learning, with applications in structural health monitoring and system identification. He develops physics-informed machine learning methods that identify structural and material properties from limited sensor measurements. His work has appeared in Nature Communications, Neural Networks, Computers and Geotechnics, and other venues. He also holds an affiliate appointment with the Charlotte AIR Institute.

Dr. Li serves as an Associate Editor for the ASCE Journal of Transportation Engineering, Part B: Pavements, and is a committee member of the ASCE Data Sensing and Analytics Committee. Before joining UNC Charlotte, he was a postdoctoral researcher at Pennsylvania State University.

Website: xuyang-lx.github.io