Professor
Professor profile and curriculum vitae
Myoung Hoon Lee
Assistant Professor
Department of Electrical Engineering, Incheon National University
Room #251, Building 8
119 Academy-ro, Yeonsu-gu, Incheon 22012, South Korea
Office: (+82) 32-835-8433
Email: mh.lee@inu.ac.kr
Main Fields of Research
- Reinforcement Learning and Deep Learning
- Multi-Agent Optimal Control and Game Theory
- Unmanned Autonomous Systems Control (vehicles, drones, and robots)
Education
- Ulsan National Institute of Science and Technology, Ulsan, South Korea (Feb. 2021)
Combined M.S.-Ph.D. in Electrical Engineering
Advisors: Jun Moon and Jin-Ho Chung
Thesis: Game Theoretic Approaches to Decentralized Optimal Control of Unmanned Vehicles - Kyungpook National University, Daegu, South Korea (Feb. 2016)
B.S. in School of Electronics Engineering
Working Experience
- Assistant Professor, Department of Electrical Engineering, Incheon National University (Sep. 2023 - Present)
- Adjunct Professor, Graduate School of Manufacturing Innovation, Inha University (Sep. 2025 - Present)
- Postdoctoral Researcher, Research Institute of Electrical and Computer Engineering, Hanyang University (Mar. 2021 - Aug. 2023)
- Technical Research Personnel (Military Service), South Korea (Mar. 2020 - Feb. 2023)
Teaching Experience
Incheon National University (Sep. 2023 - Present)
- Fall 2025: Digital Signal Processing, System Control A, System Control B, iPBL2 (Undergraduate)
- Spring 2025: Linear Algebra, Signals and Systems, Introduction to Artificial Intelligence, Future Autonomous Driving System (Undergraduate)
- Fall 2024: Digital Control, Digital Signal Processing, Capstone Design (Undergraduate)
- Spring 2024: Linear Algebra, Signals and Systems (Undergraduate)
- Fall 2023: Digital Control, Digital Signal Processing (Undergraduate)
Inha University (Sep. 2025 - Present)
- Fall 2025: Machine Learning and Reinforcement Learning for Control (Graduate)
Hanyang University (Mar. 2021 - Aug. 2023)
- Fall 2022: Reinforcement Learning (Graduate)
- Spring 2022: Linear and Nonlinear Systems Theory (Graduate)
- Fall 2021: Teaching Fellow (4 weeks), Digital Logic Systems (Undergraduate)
Research Experience and Projects
Incheon National University (Sep. 2023 - Present)
- Research areas: Reinforcement Learning and Deep Learning; Unmanned Autonomous Systems Control
- Principal Investigator projects:
- Development of AI Technology for Integrated Decision-Making and Control in Autonomous Driving Based on Multi-Objective Reinforcement Learning (NRF), Sep. 2025 - Aug. 2026
- Development of Fully Model-Free Reinforcement Learning Framework (INU), May 2025 - Apr. 2026
- Intelligent Decision-Making and Control Technologies for Autonomous Driving Based on Reinforcement Learning and Data-Driven Approaches, sub-project of Innovative Human Resource Development for Local Intellectualization (INHA University) (IITP), Apr. 2025 - Dec. 2026
- Development of Multi-Goal Reinforcement Learning Framework (INU), May 2024 - Apr. 2025
- Development of Partially-Observed Deep Reinforcement Learning Framework (INU), Sep. 2023 - Apr. 2024
- Development of AI for Practicality and Expertise in Real-World (NRF), Sep. 2023 - Feb. 2024
- Co-investigator projects:
- Development of a Demonstration-Based Robotic Platform and Network at INU Leveraging Participation in RoboCup 2026 Incheon (ITP), May 2025 - Dec. 2026
- Mobility Technology for Agile and Safe Autonomous Driving in Unstructured Environments (NRF), Apr. 2024 - Dec. 2027
Hanyang University (Mar. 2021 - Aug. 2023)
- Research areas: Reinforcement Learning and Deep Learning; Unmanned Autonomous Systems Control
- Principal Investigator: Development of AI for Practicality and Expertise in Real-World (NRF), Jun. 2022 - Aug. 2023
- Research Assistant:
- Development of AI and Data-Driven based Integrated Autonomous Systems (NRF), Mar. 2022 - Aug. 2023
- Artificial Intelligence Graduate School Program, Hanyang University (IITP), Mar. 2021 - Feb. 2022
UNIST (Mar. 2016 - Feb. 2021)
- Research areas: Multi-Agent Optimal Control and Game Theory; Unmanned Autonomous Systems Control
- Research Assistant projects:
- Development of Joint Electrical/Mechanical Drone Beamforming based on Target Detection and Precise Attitude Control (IITP), Jul. 2018 - Dec. 2020
- Research Center for Industry Demand Driven Aircraft Core Technology with High Efficiency and Safety (NRF), Jun. 2017 - Feb. 2019
- Optimal Distributed Control of Unmanned Vehicle Groups (Lockheed Martin), Jun. 2016 - Oct. 2017
Publications
Selected Publications
- Seonjae Lee, Myoung Hoon Lee* and Jun Moon*, "Weight Vector Selection Methods by Hypervolume Maximization in the Pareto Front for Single Policy Multi-Objective Reinforcement Learning," Expert Systems with Applications, vol. 296, Part B, 129070, Jan. 2026.
- Xinfeng Sun, Haotian Zhang, Myoung Hoon Lee* and Jun Moon*, "Option-based Deep Reinforcement Learning for Topology Control of Power Systems," IEEE Access, vol. 13, pp. 26639-26650, Feb. 2025.
- Xinfeng Sun, Haotian Zhang, Myoung Hoon Lee* and Jun Moon*, "Deep Reinforcement Learning Based Active Network Management and Emergency Load-Shedding Control for Power Systems," IEEE Transactions on Smart Grid, vol. 15, no. 2, pp. 1423-1437, Mar. 2024.
- Myoung Hoon Lee and Jun Moon, "Deep reinforcement learning-based model-free path planning and collision avoidance for UAVs: A soft actor-critic with hindsight experience replay approach," ICT Express, vol. 9, no. 3, pp. 415-419, Mar. 2023.
- Seonjae Lee*, Myoung Hoon Lee* and Jun Moon, "Maximum Norm Minimization: A Single-Policy Multi-Objective Reinforcement Learning to Expansion of the Pareto Front," CIKM 2022, Oct. 2022 (BK21 IF: 3, Co-first authors).
- Myoung Hoon Lee, Ngo Phong Nguyen, and Jun Moon, "Leader-follower decentralized optimal control for large population hexarotors with tilted propellers: A Stackelberg game approach," Journal of the Franklin Institute, vol. 356, no. 12, pp. 6175-6207, Aug. 2019.
Full Publication List
International Journals (Published and Accepted)
- Seonjae Lee, Myoung Hoon Lee* and Jun Moon*, "Weight Vector Selection Methods by Hypervolume Maximization in the Pareto Front for Single Policy Multi-Objective Reinforcement Learning," Expert Systems with Applications, vol. 296, Part B, 129070, Jan. 2026.
- Xinfeng Sun, Haotian Zhang, Myoung Hoon Lee* and Jun Moon*, "Option-based Deep Reinforcement Learning for Topology Control of Power Systems," IEEE Access, vol. 13, pp. 26639-26650, Feb. 2025.
- Yuna Oh, Myoung Hoon Lee* and Jun Moon*, "Koopman-Based Control System for Quadrotors in Noisy Environments," IEEE Access, vol. 12, pp. 71675-71684, May 2024.
- Xinfeng Sun, Haotian Zhang, Myoung Hoon Lee* and Jun Moon*, "Deep Reinforcement Learning Based Active Network Management and Emergency Load-Shedding Control for Power Systems," IEEE Transactions on Smart Grid, vol. 15, no. 2, pp. 1423-1437, Mar. 2024.
- Myoung Hoon Lee and Jun Moon, "Deep reinforcement learning-based model-free path planning and collision avoidance for UAVs: A soft actor-critic with hindsight experience replay approach," ICT Express, vol. 9, no. 3, pp. 415-419, Mar. 2023.
- Yuna Oh, Myoung Hoon Lee and Jun Moon, "Infinity-Norm-Based Worst-Case Collision Avoidance Control for Quadrotors," IEEE Access, vol. 9, pp. 101052-101064, Jul. 2021.
- Myoung Hoon Lee and Jun Moon, "Backward Reachability Analysis for Nonlinear Dynamical Systems via Pseudospectral Method," International Journal of Control, Automation and Systems, vol. 19, pp. 575-586, Sep. 2020.
- Myoung Hoon Lee and Jun Moon, "Partially-observed decentralized optimal control for large population two-wheeled vehicles: A differential game approach," Journal of the Franklin Institute, vol. 357, no. 9, pp. 5248-5276, Jun. 2020.
- Myoung Hoon Lee, Ngo Phong Nguyen, and Jun Moon, "Leader-follower decentralized optimal control for large population hexarotors with tilted propellers: A Stackelberg game approach," Journal of the Franklin Institute, vol. 356, no. 12, pp. 6175-6207, Aug. 2019.
International Journals (Under Review)
- Myoung Hoon Lee, Yoonsoo Kim and Jun Moon, "MEGN: Maximum Entropy-Based Goal Network For Multi-Goal Reinforcement Learning," ACM Transactions on Intelligent Systems and Technology, under review, 2025.
- Xinfeng Sun, Haotian Zhang, Myoung Hoon Lee* and Jun Moon*, "TECOC: A Transformer-Enhanced Constrained Option-Critic Approach for Topology Control in Power Systems," IEEE Transactions on Smart Grid, under review, 2025.
Top AI Conferences
- Seonjae Lee*, Myoung Hoon Lee* and Jun Moon, "Maximum Norm Minimization: A Single-Policy Multi-Objective Reinforcement Learning to Expansion of the Pareto Front," CIKM 2022, Oct. 2022 (BK21 IF: 3, Co-first authors).
International Conferences
- Xinfeng Sun, Haotian Zhang, Jun Moon and Myoung Hoon Lee, "Constrained Variational Policy Optimization for Emergency Load Shedding of Power Systems," IFAC World Congress 2023, Jul. 2023.
- Myoung Hoon Lee, Hyun Jong Yang and Jun Moon, "Network-Based Goal Selection for Multi-Goal Reinforcement Learning Based on Maximum Entropy Framework," ICCAS 2022, Nov. 2022.
- Yuna Oh, Myoung Hoon Lee and Jun Moon, "Design of Infinity-Norm Based Collision Avoidance Control System for UAVs," ASCC 2022, May 2022.
- Myoung Hoon Lee, Jun Moon and Hyun Jong Yang, "MEGN: A Maximum Entropy Goal Selection Method for Multi-Goal Reinforcement Learning," ASCC 2022, May 2022.
- Myoung Hoon Lee, Yoonsoo Kim, Jin-Ho Chung and Jun Moon, "Soft Actor-Critic Algorithm based Deep Reinforcement Learning for Navigation and Tracking Control of UAVs," ICCAS 2020, Oct. 2020.
- Myoung Hoon Lee and Jun Moon, "Backward Reachability Analysis for Nonlinear Systems: A Pseudospectral-based Optimization Approach," ICCAS 2019, Oct. 2019.
- Myoung Hoon Lee, Jae Hwa Lee and Jun Moon, "A Characterization of Backward Reachable Sets for Nonlinear Dynamical Systems via the Pseudospectral Legendre Method," ECC 2019, Jun. 2019.
- Myoung Hoon Lee and Jun Moon, "The Stochastic Maximum Principle for Risk-Sensitive Optimal Control with Delay and Applications," CDC 2018, Dec. 2018.
- Myoung Hoon Lee and Jun Moon, "Decentralized Optimal Control for Leader-Follower Tilted-Hexarotors," ICCE Asia, Jun. 2018.
- Myoung Hoon Lee, Kyu Taek Oh, Katherine A. Kim and Jun Moon, "Decentralized optimal control for large populations of two-wheeled vehicles," IECON 2017, Oct. 2017.
Domestic Journals
- Myoung Hoon Lee and Jun Moon, "Soft Actor-Critic Deep Reinforcement Learning-based Navigation and Control of UAVs," KIEE Magazine, vol. 70, no. 4, pp. 8-14, Apr. 2021.
- Myoung Hoon Lee and Jun Moon, "Decentralized Optimal Position and Attitude Control for a Group of Leader-Follower Hexarotors with Tilted Propellers," Communications of KIISE, vol. 37, no. 1, pp. 20-28, Jan. 2019.
Domestic Conferences
- Seonjae Lee, Myoung Hoon Lee and Jun Moon, "Multi-Target Reinforcement Learning based Control for Autonomous Systems," ICROS, Jun. 2022.
- Myoung Hoon Lee and Jun Moon, "Analysis of Backward Reachable Sets for Nonlinear Dynamical Systems via the Pseudospectral Method," ICROS, May 2019.
- Myoung Hoon Lee and Jun Moon, "Decentralized Optimal Control for Leader-Follower Tilted-Hexarotors," ICROS, May 2019.
- Myoung Hoon Lee and Jun Moon, "Partially-observed Decentralized Optimal Control of a Two-Wheeled Vehicles Group," ICROS, May 2019.
- Myoung Hoon Lee and Jun Moon, "Large-Scale Distributed Optimal Control for Two-Wheeled Vehicles," KSAS, Nov. 2017.
- Myoung Hoon Lee and Jun Moon, "Decentralized Control of a Two-Wheeled Vehicle Group," ICROS, May 2017.
* indicates co-corresponding or co-first authorship as noted in each venue.
Patents
Domestic Patents (Applications)
- Jun Moon, Seonjae Lee, Myoung Hoon Lee and Yuna Oh, "Single-Policy Multi-Objective Reinforcement Learning method and device based on Maximum Norm minimization," No. 10-2022-0108867, Korea Patent, Aug. 30, 2022.
- Yuna Oh, Myoung Hoon Lee and Jun Moon, "Collision avoidance control system and method," No. 10-2022-0054912, Korea Patent, May 3, 2022.
- Myoung Hoon Lee, Jun Moon, Hyeonsu Lyu and Hyun Jong Yang, "Autonomous Flight UAV and Method Controlling Thereof," No. 10-2021-0185112, Korea Patent, Dec. 22, 2021.
Professional Service and Invited Talks
Reviewer
- IEEE Transactions on Neural Networks and Learning Systems
- Journal of the Franklin Institute
- IEEE Access
- IEEE Transactions on Cybernetics
- IEEE Transactions on Vehicular Technology
- Autonomous Robots
- International Journal of Control, Automation and Systems
- Journal of Applied Science and Engineering
- IEEE Transactions on Mechatronics
Invited Talks and Tutorials
- "Reinforcement Learning-Based Autonomous Driving Control," Unihub Winter Workshop, Hanyang University, Jan. 29, 2023.
- "Reinforcement Learning-Based Model-Free Control of AI Robots," Workshop, Incheon National University, Dec. 16, 2022.
- "Deep Reinforcement Learning for Autonomous Vehicle Control," Unihub Workshop, Hanyang University, Aug. 24, 2022.
- "Python Implementation of Sarsa and Q-learning," AI Boot Camp, Hanyang University, Feb. 9, 2022.
Awards and Honors
- ICROS 2023 Excellent Young Researcher Award, Institute of Control, Robotics, and Systems (ICROS), Jun. 2023
- ICROS 2022 Best Paper Award, Institute of Control, Robotics, and Systems (ICROS), Jul. 2022
- Research Fellowship, Hanyang University, Mar. 2021 - Feb. 2022
- UNIST Scholarship, Ulsan National Institute of Science and Technology, Mar. 2016 - Feb. 2021