Associate Professor, School of Computing
| fei.miao@uconn.edu | |
| Phone | (860) 486-3471 |
| Mailing Address | University of Connecticut 371 Fairfield Way, Unit 4155 Storrs, CT 06269-4155 |
| Campus | Storrs |
| Link | Affiliation Website |
| Google Scholar Link | |
Brief Bio
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.
- multi-agent reinforcement learning,
- robust optimization,
- uncertainty quantification,
- control theory, and game theory.
- connected and autonomous vehicles (CAVs),
- intelligent transportation systems and transportation decarbonization,
- smart cities, and power networks.
- "NSF CAREER: Distributionally Robust Learning, Control, and Benefits Analysis of Information Sharing for Connected Autonomous Vehicles." , funded by NSF.
- “SCC-IRG Track 1: Socially Informed Services Conflict Governance through Specification, Detection, Resolution and Prevention.” , funded by NSF.
- "CPS: Small: COLLAB: Improving Efficiency of Electric Vehicle Fleets: A Data-Driven Control Framework for Heterogeneous Mobile CPS", funded by NSF.
- "S&AS: FND: COLLAB: Adaptive and Cognizant Vehicular Sensing and Control for Fleet-Oriented Systems in Smart Cities", funded by NSF.
- “Robust Control Protocol Synthesis and Safe Learning for Connected Autonomous Vehicles ”, May 2019-June 2020, funded by Uconn Research Excellence Program (REP).
- "S&CC: Empowering Smart and Connected Communities through Programmable Community Microgrids", funded by NSF.
- "Modeling, Analysis and Anomaly Detection for Cyber Secure Eversource Power Distribution Networks", funded by Eversource Energy, a northeast energy company.
- "Energy Management Systems for Subtractive and Additive Precision Manufacturing" , funded by Clean Energy Smart Manufacturing Innovation Institute.
- Spr 2020 CSE5095/SE5201 Embedded/Networked Systems Modeling Abstractions
- Fall 2019 CSE4095 Introduction to Machine Learning
- Spr 2019 CSE4095 Introduction to Machine Learning
- Spr 2019 CSE5095/SE5201 Embedded/Networked Systems Modeling Abstractions
- Fall 2017 CSE4095 Introduction to Machine Learning
- Spr 2018 CSE5095/SE5301 Embedded/Networked Systems Modeling Abstractions
- What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?
Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Shaofeng Zou, and Fei Miao.
Transactions on Machine Learning Research, Jan. 2024.
[bib] [pdf] - Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation
Sanbao Su, Songyang Han, Yiming Li, Zhili Zhang, Chen Feng, Caiwen Ding, and Fei Miao.
Accepted, IEEE Robotics and Automation Letters, Jan. 2024.
[bib] [pdf] [website]
- A Multi-Agent Reinforcement Learning Approach for Safe and Efficient Behavior Planning of Connected Autonomous Vehicles
Songyang Han, Shanglin Zhou, Lynn Pepin, Jiangwei Wang, Caiwen Ding, Jie Fu, and Fei Miao.
Accepted, IEEE Transactions on Intelligent Transportation Systems, Nov. 2023.
[bib] [pdf] [website]
- Adaptive Deep Reinforcement Learning Algorithm for Distribution System Cyber Attack Defense with High Penetration of DERs
Alaa Selim, Junbo Zhao, Fei Ding, Fei Miao, and and Sung-Yeul Park .
Accepted, IEEE Transactions on Smart Grid, Dec. 2023.
[bib] [pdf] [website]
- FairMove: Data-Driven Fairness-Aware Deep Reinforcement Vehicle Displacement for Large-Scale Electric Taxi Fleet Management
Guang Wang, Sihong He, Shuxin Zhong, Shuai Wang, Fei Miao, Fan Zhang, Zheng Dong, and Desheng Zhang
Accepted, IEEE Transactions on Mobile Computing, Oct. 2023.
[bib] [pdf]
- Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning
Shanglin Zhou, Mikhail Bragin, Deniz Gurevin, Lynn Pepin, Fei Miao, and Caiwen Ding.
Accepted, ACM Transactions on Design Automation of Electronic Systems, Sep.2023
[bib] [pdf]
- Robust Multi-Agent Reinforcement Learning with State Uncertainty
Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, and Fei Miao.
Transactions on Machine Learning Research, June 2023.
[bib] [pdf] - Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing
Jiangwei Wang, Lili Su, Songyang Han, Donjin Song, and Fei Miao.
Accepted, ACM Transactions on Cyber-Physical Systems (TCPS), June 2023. [bib] [pdf] - Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems under Demand and Supply Uncertainties
Sihong He, Zhili Zhang, Shuo Han, Lynn Pepin, Guang Wang, Desheng Zhang, John Stankovic, and Fei Miao
Accepted, IEEE Transactions on Intelligent Transportation Systems (TITS), July 22.
[bib] [pdf] - 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.
Accepted, ACM Transactions on Cyber-Physical Systems (TCPS), 2022. - eRoute: Mobility-Driven Integration of Heterogeneous Urban Cyber-Physical Systems under Disruptive Events
Yukun Yuan, Desheng Zhang, Fei Miao, John A. Stankovic, Tian He, George J. Pappas, and Shan Lin.
preprints, in IEEE Transactions on Mobile Computing (TMC), June 2021.
[bib] [pdf] - Data-Driven Distributionally Robust Vehicle Balancing for Mobility on Demand Systems
Fei Miao, Sihong He, Lynn Pepin, Shuo Han, Abdeltawab M. Hendawi, Mohamed E. Khalefa, John A. Stankovic, and George J. Pappas.
ACM Transactions on Cyber-Physical Systems (TCPS), vol.5, no.2, article 17, pp. 1-27, Jan. 2021.
[bib] [pdf] - A Game Theoretic Security Framework for Quantum Cryptography: Performance Analysis and Application
Songyang Han, Walter O. Krawec, and Fei Miao.
Quantum Information Processing (QIP), 2020.
[bib] [pdf] - 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.
IEEE Transactions on Control Systems Technology (TCST), vol. 27, no. 1, pp. 175-191, doi 10.1109/TCST.2017.2766042, Jan. 2019.
[bib] [pdf] - A Hybrid Stochastic Game for Secure Control of Cyber-Physical Systems.
Fei Miao, Quanyan Zhu, Miroslav Pajic and George J. Pappas.
Automatica, vol. 93, pp. 55-63, July 2018.
[bib] [pdf] - Coding Schemes for Securing Cyber-Physical Systems Against Stealthy Data Injection Attacks.
Fei Miao, Quanyan Zhu, Miroslav Pajic and George J. Pappas.
IEEE Transactions on Control of Network Systems (TCNS), vol. 4, no. 1, pp. 106-117, March 2017.
[bib] [pdf] - Taxi Dispatch with Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach.
Fei Miao, Shuo Han, Shan Lin, John A. Stankovic, Hua Huang, Desheng Zhang, Sirajum Munir, Tian He, George J. Pappas.
IEEE Transactions on Automation Science and Engineering (TASE), vlo. 13, no.2, pp. 463-478, April, 2016.
[bib] [pdf] - ATPC: Adaptive Transmission Power Control for Wireless Sensor Networks.
Shan Lin, Fei Miao, Jingbin Zhang, Gang Zhou, Lin Gu, Tian He, John A. Stankovic, Sang Son, George J. Pappas.
ACM Transactions on Sensor Networks (TOSN), vol. 12, no.1, pp. 6:1-6:31, March, 2016.
[bib] [pdf] - Safe and Robust Multi-Agent Reinforcement Learning for Connected Autonomous Vehicles under State Perturbations
Zhili Zhang, Yanchao Sun, Furong Huang, and Fei Miao.
under review, 2024.
[bib] [pdf] - Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications
Jiangwei Wang, Shuo Yang, Ziyan An, Songyang Han, Zhili Zhang, Rahul Mangharam, Meiyi Ma, and Fei Miao.
under review, 2024.
[bib] [pdf] - Robust Constrained Reinforcement Learning
Yue Wang, Fei Miao, and Shaofeng Zou.
under review, 2022.
[bib] [pdf] - Botnets Breaking Transformers: Localization of Power Botnet Attacks Against the Distribution Grid
Lynn Pepin, Lizhi Wang, Jiangwei Wang, Pranav Pishawikar, Amir Herzberg, Peng Zhang, and Fei Miao.
journal under revision, 2022.
[bib] [pdf] - Robust Electric Vehicle Balancing of Autonomous Mobility-on-Demand System: A Multi-Agent Reinforcement Learning Approach
Sihong He, Shuo Han, and Fei Miao.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI, USA, 2023, pp. 5471-5478, doi: 10.1109/IROS55552.2023.10342263.
[bib] [pdf] [website ] - A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems
Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, and Fei Miao.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI, USA, 2023, pp. 5637-5644, doi: 10.1109/IROS55552.2023.10342342.
[bib] [pdf] [website]
- Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles
Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, and Lili Su.
Accepted, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.
[bib] [pdf]
- Uncertainty Quantification of Collaborative Detection for Self-Driving
Sanbao Su, Yiming Li, Sihong He, Songyang Han, Chen Feng, Caiwen Ding, and Fei Miao.
Accepted, ICRA 2023.
[bib] [pdf] [website]
- Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios
Zhili Zhang, Songyang Han, Jiangwei Wang, and Fei Miao.
Accepted, ICRA 2023.
[bib] [pdf] [website]
- Stable and Efficient Reward Reallocation for Cooperative Policy Learning of Connected Autonomous Vehicles
Songyang Han, He Wang, Sanbao Su, Yuanyuan Shi, and Fei Miao.
IEEE International Conference on Robotics and Automation (ICRA), pp.8765-8771, May 2022. [bib] [pdf] - Automated Type-Aware Traffic Speed Prediction based on Sparse Intelligent Camera System
Xiaoyang Xie, Kangjia Shao, Yang Wang, Fei Miao, and Desheng Zhang
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),2021.
[bib] [pdf] - Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation
Deniz Gurevin, Mikhail Bragin, Caiwen Ding, Shanglin Zhou, Lynn Pepin, and Fei Miao
to appear, in Proceedings of the 30th International Joint Conference on Artificial Intelligence(IJCAI), 2021.
[bib] [pdf]
- An End-to-end Multi-task Object Detection using Embedded GPU in Autonomous Driving .
Shanglin Zhou, Mimi Xie, Yufang Jin, Fei Miao, and Caiwen Ding
in Proceedings of the 22nd International Symposium on Quality Electronic Design(ISQED), 2021, pp. 122-128.
[bib] [pdf]
- DeResolver: A Decentralized Negotiation and Conflict Resolution Framework for Smart City Services
Yukun Yuan, Meiyi Ma, Songyang Han, Desheng Zhang, Fei Miao, Jack Stankovic, and Shan Lin
in Proceedings of the ACM/IEEE 12th International Conference on Cyber-Physical Systems(ICCPS), CPSWeek, 2021. (Best Paper Award)
[bib] [pdf]
- Data-Driven Fairness-Aware Vehicle Displacement for Large-Scale Electric Taxi Fleets
Guang Wang, Shuxin Zhong, Shuai Wang, Fei Miao, Zheng Dong, and Desheng Zhang
37th IEEE International Conference on Data Engineering (ICDE),2021, pp. 1200-1211.
[bib] [pdf] - Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties
Sihong He, Lynn Pepin, Guang Wang, Desheng Zhang, and Fei Miao
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),2020, pp. 2165-2172.
[bib] [pdf] - Exploiting Beneficial Information Sharing Among Autonomous Vehicles
Songyang Han, Jie Fu, and Fei Miao
58th IEEE Conference on Decision and Control (CDC),2019.
[bib] [pdf] - Dynamic Pricing for Autonomous Vehicle E-hailing Services Reliability and Performance Improvement
Qixing Wang, Fei Miao, Jie Wu, Yuan Niu, Chengliang Wang, and Nicholas Lownes
15th IEEE Conference on Automation Science and Engineering (CASE),2019.
[bib] [pdf] - Securing power distribution grid against power botnet attacks
Lizhi Wang, Tristan Pepin, Fei Miao, Amir Herzberg, and Peng Zhang,
IEEE Power and Energy Society General Meeting (PESGM),2019.
[bib] [pdf] - p2 Charging: Proactive Partial Charging for Electric Taxi Systems
Yukun Yuan, Desheng Zhang, Fei Miao, Jiming Chen, Tian He, and Shan Lin
in Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, (ICDCS), 2019.
[bib] [pdf] - 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, (ICCPS), CPSWeek, 2018.
[bib] [pdf] - Game Theoretic Security Framework for Quantum Key Distribution
Walter O. Krawec and Fei Miao.
in Proceedings of the 2018 International Conference on Decision and Game Theory for Security, (GameSec), 2018.
[bib] [pdf] - Hierarchical Data-Driven Vehicle Dispatch and Ride-sharing
Ximing Chen, Fei Miao, George J. Pappas, and Victor M. Preciado
IEEE 56th Conference on Decision and Control (CDC), 2017.
[bib] [pdf] - Artificial Invariant Subspace with Potential Functions for Humanoid Robot Balancing
Xiang Deng, Fei Miao, and Daniel D. Lee
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, Sep 2017.
[bib] [pdf] - 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
ACM/IEEE 8th ACM/IEEE Sixth International Conference on Cyber-Physical Systems (ICCPS),2017.
[bib] [pdf] - Robust Taxi Dispatch under Model Uncertainties
Fei Miao, Shuo Han, Shan Lin and George J. Pappas
IEEE 54th Annual Conference on Decision and Control (CDC), Osaka, Japan, Dec 2015.
[bib] [pdf] - Taxi Dispatch with Real-time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach
Fei Miao, Shan Lin, Sirajum Munir, John A. Stankovic, Hua Huang, Desheng Zhang, Tian He and George J. Pappas
Best Paper Award Finalist, ACM/IEEE Sixth International Conference on Cyber-Physical Systems (ICCPS), Seattle, Washington, USA, April 2015.
[bib] [pdf] - Coding Sensor Outputs for Injection Attacks Detection
Fei Miao, Quanyan Zhu, Miroslav Pajic and George J. Pappas
IEEE 53th Annual Conference on Decision and Control (CDC), Los Angeles, CA, USA, Dec 2014.
[bib] [pdf] - A Moving-Horizon Hybrid Stochastic Game for Secure Control of Cyber-Physical Systems.
Fei Miao and Quanyan Zhu
IEEE 53th Annual Conference on Decision and Control (CDC), Los Angeles, CA, USA, Dec 2014.
[bib] [pdf] - Stochastic Game Approach for Replay Attack Detection.
Fei Miao, Miroslav Pajic and George J. Pappas
IEEE 52th Annual Conference on Decision and Control (CDC), Firenze, Italy, Dec 2013.
[bib] [pdf] - Networked Realization of Discrete-Time Controllers.
Fei Miao, Miroslav Pajic, Rahul Mangharam and George J. Pappas
American Control Conference (ACC), Washington D.C., USA, June 2013.
[bib] [pdf]