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Biography
Biography
-Donghwan Lee
Donghwan Lee is an Associate Professor in the School of Electrical Engineering at KAIST and an adjunct faculty member in the KAIST Robotics Program. His research develops reliable reinforcement-learning and learning-based control methods with mathematical guarantees, with applications to autonomous and industrial systems.
He received a B.S. in Electrical Engineering from Konkuk University, an M.S. in Electrical Engineering from Yonsei University, and an M.S. in Mathematics and a Ph.D. in Electrical and Computer Engineering from Purdue University. From 2017 to 2020, he was a postdoctoral researcher in the Coordinated Science Laboratory at the University of Illinois Urbana-Champaign.
Academic Appointments
Academic Appointments
Associate Professor, School of Electrical Engineering, KAIST · 2026–present
Assistant Professor, School of Electrical Engineering, KAIST · 2020–2025
Adjunct Professor, KAIST Robotics Program · 2020–present
Postdoctoral Researcher, Coordinated Science Laboratory, UIUC · 2017–2020
Research Interests
Research Interests
Reinforcement learning and sequential decision making
Control theory and learning-based control
Optimization and stochastic approximation
Robotics, autonomous driving, and industrial AI
Talks and lectures
Talks and lectures
Control and optimization theoretic analysis of reinforcement learning, UNIST 특강, 2025
강화학습 소개 및 응용사례, 을지연구소, 2025
Control and optimization theoretic analysis of reinforcement learning, 39회 제어로봇시스템학회 (ICROS) 2024 학술대회, 2024
자율수행 실험실을 위한 인공지능기법, 한국에너지연구원, 2022
Control Theoretic Analysis of Q-Learning, 제어이론연구회 하계워크샵, 2021
Control Theory Meets Reinforcement Learning, ICCAS2021
최신 강화학습과 제어적 관점, 한국전자통신연구원 (ETRI), 2021
Data-Driven Control Design with LMIs and Dynamic Programming, ANBRE2021
스마트 실험실 구현과 AI실험 설계를 위한 최신 강화학습, 한국에너지연구원, 2021
강화학습 튜토리얼, 한국방송미디어학회 추계학회, 2020
강화학습 개론, 삼성 첨단기술연수소, 2020
Service
Service
Special Program Chairs, IFAC2026
Publicity Chairs, ICCAS2025
Session chair, IEEE ICCA2024
International Program Committee, ICCAS2024
Session chair, IEEE ACC2024
TCP member, 5th International Conference on Control and Robotics (ICCR)
운영위원, ICROS2022
Session chair, ICROS2022
Editor of special issue on reinforcement learning and control applications, ICROS
Invited session chair, IEEE ICCA2022
Session chair, ICROS2021
TCP member, IEEE 2021 International Conference of Machine Learning and Applications (ICMLA)
Session chair, ICCAS2021
TCP member, 37th Conference on uncertainty in articial intelligence (UAI2021)
Ph.D. Thesis
Ph.D. Thesis
Graph control Lyapunov function for switched linear systems [link]
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