Ph.D. · Civil Engineering · University of Alberta
Jiangyu Zeng
Structural health monitoring of bridge populations through drive-by crowdsensing and big data analytics.
9
Publications
4.00
Ph.D. CGPA
5+
Years teaching
5
Awards
Research Focus#
Drive-by crowdsensing
Population-based SHM
Machine learning & vision
About Me#
Welcome to my personal website! I am Jiangyu Zeng, and I completed my Ph.D. in the Department of Civil Engineering at the University of Alberta in September 2026. Across the globe, extensive infrastructure has been constructed to better serve society, and these structures now demand efficient and economical monitoring solutions. My research focuses on developing innovative approaches to structural health monitoring using crowdsensing technologies and big data analytics.
My doctoral dissertation is titled “A Crowdsensing-Enabled Population-Based Structural Health Monitoring (CE-PBSHM) Framework Using Drive-by Measurements.” This research develops a scalable model for simultaneous multi-bridge monitoring, representing a significant advancement in infrastructure monitoring technologies.
My work combines traditional civil engineering principles with cutting-edge technologies including machine learning, computer vision, and big data analytics to create more efficient and comprehensive infrastructure monitoring solutions.
Research Interests#
Interactive Tool: VBI-ChatGPT#
Build and solve a vehicle-bridge interaction model by chatting.
