Safe and resiLient Autonomous decision-Making (SLAM) Lab
Faculty (Jueming Hu)
I am an assistant professor in the Department of Mechanical Engineering at the University of North Dakota (UND). I received my Ph.D. and M.S. in Mechanical Engineering from Arizona State University, as well as a B.S. in Mechanical Engineering from Southeast University, China. Before joining UND, I was a postdoctoral researcher at Texas A&M University and Arizona State University.
News
2026
- Welcome Minseok (undergraduate exchange student, Hanyang University) to the UND SLAM Lab for Spring 2026!January
- Dr. Hu presented our paper "Deep Q-Network with Lagrangian Relaxation for Autonomous Aircraft Landing" at the AIAA SciTech Forum 2026.January
- Dr. Hu (PI) received the Early Career Scholars Program award from UND!January
2025
- Our paper "Trustworthy Cyber-Resilient Reinforcement Learning for Secure Navigation under Adversarial Attack" has received the Best Paper Award at 2025 IEEE Cyber Awareness & Research Symposium (CARS)!November
- Welcome new Master's student Sajan and PhD student Musabbir to the UND SLAM Lab!August
- Our paper "Reinforcement Learning Driven Integrated Detection and Mitigation of UAV GPS Spoofing Attacks" has been accepted for publication in IEEE Internet of Things Journal.June
- One paper has been accepted to IEEE MWSCAS 2025.May
- Dr. Hu joined the Department of Mechanical Engineering at the University of North Dakota as an assistant professor!January
2024
- Our paper "Reinforcement Learning with Predefined and Inferred Reward Machines in Stochastic Games" has been accepted for publication in Neurocomputing.September
- Dr. Hu joined the CARES lab at Texas A&M University as a postdoctoral researcher!April
- Our paper "Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines" has been accepted for publication in Neurocomputing.January
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2023
- Our paper "Knowledge-Enhanced Reinforcement Learning for Multi-Machine Integrated Production and Maintenance Scheduling" has been accepted for publication in Computers & Industrial Engineering.November
- Our paper "Reinforcement Learning with Reward Machines in Stochastic Games" has been accepted to the 2023 European Conference on Artificial Intelligence (acceptance rate 24%).July
2022
- Our paper "Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning" has been accepted for publication in IEEE Access.August
- Our paper "Optimal Maintenance Scheduling Under Uncertainties Using Linear Programming-Enhanced Reinforcement Learning" has been accepted for publication in Engineering Applications of Artificial Intelligence.March
2020
- Our paper "Probabilistic Risk-Based Operational Safety Bound for Rotary-Wing Unmanned Aircraft Systems Traffic Management" has been accepted for publication in Journal of Aerospace Information Systems.March