AI-Native Research
Foundation models, ambient sensors, and human subject experiments are used as core instruments for discovery.
Generative Engineering Lab
Intelligent systems for resilient, connected communities.
We build Agentic AI solutions in cyber-physical systems to enhance our understanding of risks and navigate future technological advances.
Infrastructure Impact
Projects translate models into tools for transportation, smart cities, natural disasters, and public systems.
Human-Centered Systems
We study how people, technologies, and built environments interact under uncertainty and change.
Principal Investigator
Dr. Chao Fan
Dr. Chao Fan leads an interdisciplinary research group at Clemson University focused on AI agents and cyber-physical systems. The lab develops data-driven and human-centered methods for high-impact application domains including emergency management, transportation, urban systems, and risk analysis.
Our lab is always recruiting prospective and self-motivated students to work with us. We welcome students from a wide range of backgrounds, including computer science, civil engineering, GIS, economics, remote sensing, electrical engineering, industrial engineering, operations research, information systems, control, and automation.
Research Directions
Where computation meets the physical world.
AI for Emergency Operations
Agentic AI models and solutions for situational awareness, emergency dispatch, resource allocation, planning, response, and recovery.
Transportation Digital Twins
Digital twin methods for modeling mobility systems, road networks, autonomous vehicles, safety, accessibility, and emerging transportation technologies.
Cyber-Physical Systems
Architecture, design, sensing, and security for smart connected communities and societal-scale cyber-physical systems.
Current Students
Researchers building the next layer of intelligent infrastructure.
Junkang Xu
Ph.D. Student
B.S. Zhejiang University
Generative Agents to Simulate Human Decision-Making
Abhinav Shrestha
Ph.D. Student
B.S. (Rank 1st) Tribhuvan University, Pulchowk Campus
Agentic AI Solutions for High-Stakes Operations
Rui Shao
Ph.D. Student
M.S. University College London
Human-centered AI Technologies and Theories
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Future Students
We are recruiting!
Prospective Ph.D., student and research interns (remote) interested in AI agents and cyber-physical systems are welcome to connect.
Sponsors & Partners
