Research Assistant
University of Missouri - Kansas City
Chengye Li is a Ph.D. student at the University of Missouri – Kansas City (UMKC), he received his bachelor's degree at Chang'an University (CHD) and master's degree at the University of Missouri – Kansas City (UMKC). He works at the intersection of Civil Engineering, Geoscience, and computer science, his research focuses on hazard modeling computation, spatial data analysis, python-based structure analysis, and digital twins. He has been on the NCHRP 14-45 Project helping to write the Guidelines for Response Planning, Assessment, and Rapid Restoration of Service of Bridges in Extreme Events for USDOT. His recent research is to generate a flood vulnerability map for the Kansas City, MO area based on watersheds level by considering 15 plus indicators and building machine learning algorithms for 311 calls classification, this project has been awarded third place for the poster presentation at the 2022 ASCE KC-GI Conference
Assessment of Urban Flood Vulnerability: A case study of flood hazard in Kansas City, Missouri
Wednesday, May 24, 2023
2:00 PM – 2:15 PM PDT