Fei Miao

Assistant Professor

Computer Science & Engineering

University of Connecticut

Curriculum Vitae

Google Scholar

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

Address: 441 ITE Building, Storrs Mansfield, CT

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


I am an Assistant Professor of the Department of Computer Science & Engineering, a graduate faculty of the Department of Electrical & Computer Engineering, and I am also affiliated to Institute for Advanced Systems Engineering, University of Connecticut. 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 data-driven cyber-physical systems to assure safety, efficiency and security, for application areas such as connected autonomous vehicles, intelligent transportation systems, and smart cities. My research experience and current ongoing projects span several technical fields, including optimization, control theory, machine learning, game theory, and formal methods.

Thus far, my research has focused on data-driven robust optimization and control for efficient mobile CPS, resilient control and attack detection approaches for CPS security, and control protocol design for connected autonomous vehicles, with integrated learning, control, and optimization methods. 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.


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.

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.

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.

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.

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.