Scholar
Fei Miao
Google Scholar ID: fH2YF6YAAAAJ
Pratt & Whitney Associate Professor, Computer Science and Engineering, University of Connecticut
Citations & Impact
Citations
1,755
H-index
24
i10-index
34
Publications
20
Co-authors
11
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Recipient of the NSF CAREER Award in 2021, project titled 'CAREER: Distributionally Robust Learning, Control, and Benefits Analysis of Information Sharing for Connected and Autonomous Vehicles,' with a total funding of $509,573; co-recipient of the Best Paper Award at ICCPS'21.
Research Experience
- Currently serving as Pratt & Whitney Associate Professor at the School of Computing, University of Connecticut, and Director of the Miao Embodied AI Lab; previously worked as a postdoc researcher at the GRASP Lab and PRECISE Lab under Professors George J. Pappas and Daniel D. Lee at the University of Pennsylvania.
Education
- Received a Ph.D. in Electrical and Systems Engineering along with the 'Charles Hallac and Sarah Keil Wolf Award for Best Doctoral Dissertation' from the University of Pennsylvania in 2016, also obtained a dual Master's degree in Statistics from Wharton School; graduated from Shanghai Jiao Tong University in 2010 with a major in Automation and a minor in Finance.
Background
- Research interests span multi-agent reinforcement learning, robust optimization, uncertainty quantification, control theory, and game theory. Application areas include connected and autonomous vehicles (CAVs), intelligent transportation systems and transportation decarbonization, smart cities, and power networks.
Miscellany
- Looking for self-motivated PhD students with expertise in reinforcement learning, robust optimization, machine learning, etc.; personal interests involve traveling and giving talks at various universities and industry research labs.
