Dr. Brian Yueshuai He has extensive research experience in urban mobility modeling, artificial intelligence, data synthesis for complex systems, travel behavior analysis, and sustainable energy and emission study. He is an assistant professor of the Civil and Environmental Engineering Department at the University of Louisville. 

Dr. He’s research develops a forward-thinking paradigm of Digital Twin Technology for Next Generation Mobility System that comprehensively simulates the dynamic interactions between travelers and the physical environment to capture the highly resolved system dynamics and envisions a future mobility system in smart cities. Enabled by AI and machine learning models, economic theory, computational simulation, and advanced transportation modeling techniques, his research explores the potential of the transportation system digital twin as a living laboratory for technology innovations, system operation and management, policy evaluation, and urban sustainability and resilience analysis.

Some of the key research projects Dr. He has led include "Hidden Activity Signal and Trajectory Anomaly Characterization,” “Developing Planning-level Analysis Tools for CAV Technologies and Services,” and “Integrated Modeling for Road Condition Prediction.” His research leveraged diverse data sources (real-world and synthetic), deep neural networks, and agent-based modeling approaches to characterize diverse patterns of human mobility and complex urban system dynamics, and generate privacy-preserved and ground-truthed data to facilitate the training of urban AI models and inform the development of smart cities.

He received his Ph.D. in Transportation Planning and Engineering from New York University, advised by Dr. Joseph Chow.