معرفی
Fei Miao is the Pratt & Whitney Associate Professor at the School of Computing, University of Connecticut, with a courtesy appointment in the Department of Electrical & Computer Engineering. She serves as Director of the Miao Embodied AI Lab and is affiliated with the Institute for Advanced Systems Engineering. Prior to joining UConn in August 2017 as an Assistant Professor, she was a postdoctoral researcher at the GRASP Lab and PRECISE Lab at the University of Pennsylvania.
Dr. Miao received her Ph.D. in Electrical and Systems Engineering from the University of Pennsylvania in 2016, where she was awarded the "Charles Hallac and Sarah Keil Wolf Award for Best Doctoral Dissertation." She also earned a dual Master's degree in Statistics from the Wharton School. Her undergraduate education was completed at Shanghai Jiao Tong University in 2010, with a major in Automation and a minor in Finance.
Dr. Miao's research focuses on developing the foundations for the science of Embodied AI, with emphasis on assuring safety, efficiency, robustness, and security of cyber-physical systems through the integration of learning, optimization, and control. Her technical interests span multi-agent reinforcement learning, robust optimization, uncertainty quantification, control theory, and game theory. These methodologies are applied to connected and autonomous vehicles (CAVs), intelligent transportation systems, transportation decarbonization, smart cities, and power networks.
Her research portfolio includes robust reinforcement learning and control, uncertainty quantification for collaborative perception, game theoretical analysis for information sharing benefits in CAVs, data-driven robust optimization for mobile cyber-physical systems, conflict resolution in smart cities, and resilient control of cyber-physical systems under attacks. Her work combines theoretical analysis with experimental validation using urban transportation data, simulators, and small-scale autonomous vehicles.
Dr. Miao has received significant recognition for her work, including:
- NSF CAREER Award (2021) for "Distributionally Robust Learning, Control, and Benefits Analysis of Information Sharing for Connected and Autonomous Vehicles"
- Pratt & Whitney endowed Associate Professorship (2023)
- Best Paper Award at ICCPS'21 for "DeResolver: A Decentralized Negotiation and Conflict Resolution Framework for Smart City Services"
- NSF grants as PI for projects including "SCC-IRG Track 1: Socially Informed Services Conflict Governance" ($2.3M) and "CPS: Small: COLLAB: Improving Efficiency of Electric Vehicle Fleets" ($198,698)
Dr. Miao actively mentors graduate students and seeks self-motivated PhD candidates interested in reinforcement learning, robust optimization, machine learning, control theory, game theory, and cyber-physical systems. Her research has been supported by multiple NSF grants, including a CAREER award totaling $509,573 and a collaborative grant of $2.3 million as PI of UConn's portion. She has been actively engaged in the academic community, presenting her work at institutions including CMU, Microsoft Research, Northeastern, Caltech, UCLA, USC, UCSD, Facebook FAIR, Lawrence Berkeley National Lab, UC Berkeley, Nvidia, Stanford, Princeton University, Columbia University, Waymo, and New York University.
Her laboratory, the Miao Embodied AI Lab, focuses on experimental validation of theoretical frameworks using real urban transportation data, simulators, and small-scale autonomous vehicle testbeds to advance the field of embodied artificial intelligence for cyber-physical systems.
