Weinan Gao

Assistant Professor | Mechanical and Civil Engineering

Contact Information

Educational Background

  • Ph.D., Electrical Engineering, New York University, 2017 
  • M.S., Control Theory and Control Engineering, Northeastern University CN, 2013
  • B.S., Automation, Northeastern University CN, 2011

Professional Experience

  • Aug. 2020-Now: Assistant Professor, Florida Institute of Technology, Melbourne FL
  • Aug. 2017- Jul. 2020: Assistant Professor, Georgia Southern University, Statesboro GA
  • May. 2018-Jul. 2018: Visiting Professor, Mitsubishi Electric Research Laboratory, Cambridge MA
Synergistic Activities
  • Associate Editor, IEEE/CAA Journal of Automatica Sinica, 2020-Now (Impact Factor: 5.73)
  • Associate Editor, Neurocomputing, Elsevier, 2018-Now (Impact Factor 4.438)
  • Guest Editor, IEEE Transactions on Neural Network and Learning Systems, 2021-2022 (Impact Factor: 10.451)
  • Early Career Advisory Board Member, Control Engineering Practice, 2021-2023(Impact Factor: 3.475)
  • Guest Editor, Complex & Intelligent Systems, Springer, 2020 (Impact Factor: 3.791)
  • Editorial Board Member, Neural Computing and Applications, Springer, 2018-Now (Impact Factor: 4.664)
  • Program Committee Member, American Control Conference, 2022
  • Associate Editor, IFAC International Workshop on Adaptation and Learning in Control and Signal (ALCOS), 2022
  • Technical Committee Member, IFAC TC 1.2 Adaptive and Learning Systems, 2020-Now
  • Technical Committee Member, IEEE CSS Nonlinear Systems and Control, since 2018

Current Courses

  • MEE 3091 Theory of Machines, Fall 2020, Fall 2021

  • MEE 5693 Intelligent Optimal Control, Fall 2021

  • MEE 4014 Control Systems, Spring 2021, Summer 2021, Spring 2022

  • MEE 4630/5630 Modeling of Dynamic Systems, Spring 2022


Selected Publications

  1. Weinan Gao, Chao Deng, Yi Jiang, and Zhong-Ping Jiang. Resilient Reinforcement Learning and Robust Output Regulation Under Denial-of-Service Attacks, Automatica, 2022, in acceptance.
  2. Fuyu Zhao, Weinan Gao, Tengfei Liu, and Zhong-Ping Jiang. Adaptive optimal output regulation of linear discrete-time systems based on event-triggered output-feedback, Automatica, vol. 137, article 110103, 2022.
  3. Yi Jiang, Jialu Fan, Weinan Gao, Tianyou Chai, Frank L. Lewis. Cooperative Adaptive Optimal Output Regulation of Discrete-Time Nonlinear Multi-Agent Systems, Automatica, vol. 121, article 109149, 2020.
  4. Adedapo Odekunle, Weinan Gao, Masoud Davari, and Zhong-Ping Jiang. Reinforcement learning and non-zero-sum game output regulation for multi-player linear uncertain systems, Automatica, vol. 112, 2020.
  5. Weinan Gao, Zhong-Ping Jiang, Frank L. Lewis, and Yebin Wang. Leader-to-formation stability of multi-agent systems: An adaptive optimal control approach, IEEE Transactions on Automatic Control, vol. 63, no. 10, pp. 3581-3587, 2018.
  6. Weinan Gao, Yu Jiang, Zhong-Ping Jiang, and Tianyou Chai. Output-feedback adaptive optimal control of interconnected systems based on robust adaptive dynamic programming. Automatica, vol. 72, pp. 37-45, 2016.
  7. Weinan Gao, and Zhong-Ping Jiang. Adaptive dynamic programming and adaptive optimal output regulation of linear systems. IEEE Transactions on Automatic Control, vol. 61, no. 12, pp. 4164-4169, 2016.

Recognition & Awards

  • Engineering Research Initiation Award, NSF, 2022
  • Outstanding Reviewer Award, IET Control Theory and Applications, 2019

  • David Goodman Research Award, Dept. ECE, New York University, 2019

  • Best Paper Award, IEEE RCAR, 2018


ERI: Improving the Learning Efficiency of Adaptive Optimal Control Systems in Information-Limited Environments, NSF, Jan. 2022-Dec. 2023, PI.