Websites
Biography
Jueming Hu is an assistant professor at the Department of Mechanical Engineering of the University of North Dakota. Dr. Hu's research weaves theories from artificial intelligence, formal methods, and optimization to develop novel decision-making techniques aimed at improving the safety, efficiency, and reliability of autonomous systems.
AE 424 Flight Dynamics and Control, Spring 2025
ME 590 Special Topic: Flight Dynamics and Control, Spring 2025
- Reinforcement Learning
- Artificial Intelligence
- Formal Methods
- Optimization
- Decision Making
- Unmanned Aerial Vehicle
- Industrial AI
- Ph.D., Mechanical Engineering, Arizona State University, Tempe, 2023
- M.S., Mechanical Engineering, Arizona State University, Tempe, 2018
- B.S., Mechanical Engineering, Southeast University, China, 2017
- Assistant Professor, Department of Mechanical Engineering, University of North Dakota, January 2025 -
- Postdoctoral Researcher, Department of Marine Engineering Technology, Texas A&M University, April 2024 - January 2025
- Postdoctoral Researcher, Department of Mechanical and Aerospace Engineering, Arizona State University, June 2023 - April 2024
1. Jueming Hu, Yash Paliwal, Hyohun Kim, Yanze Wang, and Zhe Xu. "Reinforcement learning with predefined and inferred reward machines in stochastic games." Neurocomputing 599 (2024): 128170.
2. Yutian Pang, Peng Zhao, Jueming Hu, and Yongming Liu. "Machine learning-enhanced aircraft landing scheduling under uncertainties." Transportation Research Part C: Emerging Technologies 158 (2024): 104444.
3. Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, and Yongming Liu. "Decentralized graph-based multi-agent reinforcement learning using reward machines." Neurocomputing 564 (2024): 126974.
4. Jueming Hu, Haiyan Wang, Hsiu-Khuern Tang, Takuya Kanazawa, Chetan Gupta, and Ahmed Farahat. "Knowledge-enhanced reinforcement learning for multi-machine integrated production and maintenance scheduling." Computers & Industrial Engineering 185 (2023): 109631.
5. Yutian Pang, Jueming Hu, Christopher S. Lieber, Nancy J. Cooke, and Yongming Liu. "Air traffic controller workload level prediction using conformalized dynamical graph learning." Advanced Engineering Informatics 57 (2023): 102113.
6. Jueming Hu, Xuxi Yang, Weichang Wang, Peng Wei, Lei Ying, and Yongming Liu. "Obstacle avoidance for uas in continuous action space using deep reinforcement learning." IEEE Access 10 (2022): 90623-90634.
7. Jueming Hu, Yuhao Wang, Yutian Pang, and Yongming Liu. "Optimal maintenance scheduling under uncertainties using Linear Programming-enhanced Reinforcement Learning." Engineering Applications of Artificial Intelligence 109 (2022): 104655.
8. Jueming Hu, Heinz Erzberger, Kai Goebel, and Yongming Liu. "Probabilistic risk-based operational safety bound for rotary-wing unmanned aircraft systems traffic management." Journal of Aerospace Information Systems 17, no. 3 (2020): 171-181.
Two RA positions are opening in Spring 2025 and Fall 2025. Please email your CV to Dr. Jueming Hu at jueming.hu@und.edu for consideration.