Xishun Liao is an assistant professor in the Department of Civil, Environmental, and Construction Engineering at the University of Central Florida and is affiliated with the Knight's Digital Twin initiative. His research focuses on developing AI-powered digital twins through interdisciplinary approaches that integrate artificial intelligence and machine learning,, data science, control theory, and optimization to enable human-centered, intelligent mobility systems that are safe, efficient, equitable and sustainable.

Before joining UCF, he was a research scientist at the UCLA Mobility Lab, focusing on artificial intelligence and mobility digital twins at the University of California, Los Angeles. He received his doctoral degree in electrical and computer engineering from the University of California, Riverside, a master’s degree in mechanical engineering from the University of Maryland, College Park, and a bachelor’s degree in mechanical engineering and automation from the Beijing University of Posts and Telecommunications.

Forthcoming