About Me
Dr. Xishun Liao is an Assistant Professor in the Department of Civil, Environmental and Construction Engineering at the University of Central Florida (UCF). He is affiliated with the Knights Digital Twin Initiative and the Center for Integrated Coastal Research (UCF Coastal).
His research integrates urban geospatial intelligence, human behavior, and artificial intelligence to model human mobility and develop digital twins for intelligent transportation and autonomous mobility. His work spans generative models of human activity and travel demand, mobility AI agents and networks, and personalized driving behavior modeling.
He earned his Ph.D. in Electrical and Computer Engineering from the University of California, Riverside in 2023, advised by Dr. Matthew Barth and Dr. Guoyuan Wu. Before joining UCF, he was a Postdoctoral Scholar and Assistant Project Scientist at the University of California, Los Angeles, working with Dr. Jiaqi Ma. He serves as an Associate Editor of the IEEE Open Journal of Intelligent Transportation Systems.
Research Interests
🌐 Digital Twin of Mobility System
Developing comprehensive digital twin solutions for urban mobility, with a focus on designing and implementing Digital Twin Systems and Internet of Things (IoT) infrastructure. My goal is to create safer, more efficient, and sustainable transportation systems through advanced data science and ML/AI technologies.
🚗 Human and Vehicle Digital Twin: AI Agent Modeling
Creating digital replicas/simulacra of human and vehicles through advanced AI modeling. This research encompasses human travel behavior/demand modeling, driving behavior prediction, and autonomous driving development, aimed at developing human-centric AI and personalized mobility solutions.
🛣️ Traffic Network Digital Twin: AI Network Modeling
Specializing in digital twin development for traffic networks, focusing on comprehensive network modeling and transportation infrastructure optimization. This work advances data-driven urban mobility solutions through intelligent traffic modeling and optimization techniques.
Education
- Ph.D. in Electrical and Computer Engineering 2019-2023 University of California, Riverside
- M.Eng. in Mechanical Engineering 2017-2018 University of Maryland, College Park
- B.Eng. in Mechanical Engineering 2012-2016 Beijing University of Posts and Telecommunications