Welcome to the U, Dr. Liu!
Dr. Chenxi (Dylan) Liu’s research is centered on advancing situation-aware customized machine intelligence to develop connected and autonomous transportation systems. His work focuses on applying AI/ML methods in the transportation field, with particular emphasis on integrated traffic sensing technologies, cyber-physical cooperation, distributed computing, and deep learning techniques. These efforts are aimed at addressing critical challenges related to transportation resiliency, safety, and equity.
Before joining the University of Utah, Dr. Liu was a Ph.D. Candidate in the Department of Civil & Environmental Engineering at the University of Washington, Seattle. There, he developed expertise in cutting-edge traffic sensing systems and AI-driven solutions designed to meet the demands of intelligent transportation systems. At the University of Utah, Dr. Liu will apply his expertise to significantly enhance the research in intelligent transportation systems. His work in multimodal data integration, edge computing, and deep learning methods will be instrumental in advancing the development of connected and autonomous transportation technologies.
Transportation Engineering at the University of Utah
Researchers in Transportation Engineering use state-of-the-art technology such as AI and machine-learning to make innovative advancements in the planning, design, operations, maintenance, and assessment of transportation systems.
Our exceptional faculty who specialize in Transportation Engineering conduct cutting-edge research in transportation system design and modeling.
Explore Transportation Engineering→
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Dr. Cathy Liu Earns Prestigious Educator Award
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