Fei Miao

Pratt & Whitney Associate Professor

Director, Miao Embodied AI Lab

School of Computing

University of Connecticut

Curriculum Vitae

Google Scholar

Email: fei.miao[at]uconn[dot]edu

Address: 239 ITE Building, Storrs Mansfield, CT

I am looking for self-motivated PhD students with interests and expertise in reinforcement learning, robust optimization, machine learning, control theory, game theory, and cyber-physical systems!


I am Pratt & Whitney Associate Professor of the School of Computing, a courtesy faculty of the Department of Electrical & Computer Engineering, University of Connecticut. I am also affiliated to Institute for Advanced Systems Engineering, Before joining Uconn, I was a postdoc researcher at the GRASP Lab and the PRECISE Lab with Professor George J. Pappas and Professor Daniel D. Lee, Department of Electrical and Systems Engineering at the University of Pennsylvania. I got my Ph.D. degree, and the "Charles Hallac and Sarah Keil Wolf Award for Best Doctoral Dissertation" in Electrical and Systems Engineering in 2016, with a dual Master degree of Statistics from Wharton School, from the University of Pennsylvania. I got my bachelor's degree of Science from Shanghai Jiao Tong University (SJTU) in 2010 with a major in Automation and a minor in Finance.

Research Interests

The broad agenda of my work is to develop the foundations for the science of Embodied AI, to assure safety, efficiency, robustness and security of the systems by integrating learning, optimization, and control. My research interests span several technical fields, including 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.

My research experience and current ongoing projects include robust reinforcement learning and control, uncertainty quantification for collaborative perception, game theoretical analysis for the benefit of information sharing for CAVs, data-driven robust optimization for efficient mobile CPS, conflict resolution of smart cities, and resilient control of CPS under attacks. In addition to system modeling, theoretical analysis, and algorithmic design, my work involves experimental validation in real urban transportation data, simulators and small scale autonomous vehicles.

Video of my presentation at CMU Robotics Institute Seminar in Oct 2023.


Oct 2023: Sabbatical travel starts! I am traveling and give talks at many universities and industry research labs this year! My presentation trips include: CMU, Microsoft Research, Northeastern, Caltech, UCLA, USC, UCSD, Facebook FAIR, Lawrence Berkeley National Lab, UC Berkeley, Nvidia, Stanford, Princeton University, Columbia University, Waymo, New York University. Look forward to more trips and meet with potential collaborators and friends!

Aug 2023: It's official! I am Associate Professor at Uconn. I am also honored to get the Pratt & Whitney endowed Associate Professorship.

Feb 2021: Fei Miao received the prestige NSF CAREER Award! Title of the project is “CAREER: Distributionally Robust Learning, Control, and Benefits Analysis of Information Sharing for Connected and Autonomous Vehicles” The total of the project is $509,573, award period of performance is from 06/2021 to 05/2026. Award Abstract on NSF website. Award information on CSE Department News and Uconn News.

Apr. 2021: We won Best Paper Award of ICCPS'21, for Paper "DeResolver: A Decentralized Negotiation and Conflict Resolution Framework for Smart City Services", Yukun Yuan, Meiyi Ma, Songyang Han, Jack Stankovic, Desheng Zhang, Fei Miao, and Shan Lin.

Sep 2020: Fei Miao received a new NSF collaborative grant as the PI of UConn, with lead PI Desheng Zhang of Rutgers, UVA PI Jack Stankovic, and Stonybrook PI Shan Lin. Title of the project is “SCC-IRG Track 1: Socially Informed Services Conflict Governance through Specification, Detection, Resolution and Prevention.” The total of the project is $2.3 M, award period of performance is from 10/2020 to 09/2023. Award Abstract on NSF website.

Sep 2020: Our paper "A Game Theoretic Security Framework for Quantum Cryptography: Performance Analysis and Application" is accepted by Quantum Information Processing.

Aug 2020: Our paper "Data-Driven Distributionally Robust Optimization For Vehicle Balancing of Mobility-on-Demand Systems" is accepted by ACM Transactions on Cyber-Physical Systems.

July 2020: Our paper "Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties" is accepted by IROS 2020, the paper and presentation will be posted online soon.

Nov 2019: Visit UC Berkeley and gave a talk about "Learning for Robust Control and Optimization: Efficiency and Safety of Autonomous Transportation Systems" at the ITS Transportation Seminar.

Aug 2019: Received NSF Grant as PI for project “CPS: Small: COLLAB: Improving Efficiency of Electric Vehicle Fleets: A Data-Driven Control Framework for Heterogeneous Mobile CPS ”. This is a collaborative project with Prof. Desheng Zhang from Rutgers University. Award Abstract on NSF website. Award information on CSE Department News.

May 2019: Received Uconn Research Excellence Program (REP) fund for one year as PI for project “Robust Control Protocol Synthesis and Safe Learning for Connected Autonomous Vehicles ”.

April 2019: Received NSF Grant as PI for project “S&AS: FND: COLLAB: Adaptable Vehicular Sensing and Control for Fleet-Oriented Systems in Smart Cities”. This is a collaborative project with Prof. Desheng Zhang and Prof. Dimitris Metaxas from Rutgers University. Award Abstract on NSF website.

Aug 2018: Paper "Game Theoretic Security Framework for Quantum Key Distribution, Walter O. Krawec and Fei Miao" accepted by GameSec 2018.

June 2018: Project "Energy Management Systems for Subtractive and Additive Precision Manufacturing" funded by Clean Energy Smart Manufacturing Innovation Institute.

May 2018: Project "Modeling, Analysis and Anomaly Detection for Cyber Secure Eversource Power Distribution Networks" funded by Eversource Energy, a northeast energy company.

Dec 2017: Paper "Dynamic Integration of Heterogeneous Transportation Modes under Disruptive Events, Yukun Yuan, Desheng Zhang, Fei Miao, John A. Stankovic, Tian He, George Pappas and Shan Lin
" in Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems,CPSWeek, 2018. [ICCPS'18]

Nov 2017: Paper preprint "Data-Driven Robust Taxi Dispatch under Demand Uncertainties, Fei Miao, Shuo Han, Shan Lin, Qian Wang, John A. Stankovic, Abdeltawab Hendawi, Desheng Zhang, Tian He, and George J. Pappas" online, IEEE Transactions on Control Systems Technology (TCST), doi 10.1109/TCST.2017.2766042. [TCST17]

Aug 2017: Start position as Assistant Professor of the Department of Computer Science & Engineering, with joint appointment of the Department of Electrical & Computer Engineering at University of Connecticut.

Dec 2016: Paper "Data-Driven Distributionally Robust Vehicle Balancing Using Dynamic Region Partitions, Fei Miao, Shuo Han, Abdeltawab M. Hendawi, Mohamed E. Khalefa, John A. Stankovic, and George J. Pappas" got accepted by the 8th ACM/IEEE Sixth International Conference on Cyber-Physical Systems(ICCPS), CPSWeek 2017.