Juseong Lee
Department / Institute
RESEARCH PROFILE
Juseong Lee is an Assistant Professor at the Eindhoven University of Technology (TU/e). He is a member of the Operations, Planning, Accounting, and Control (OPAC), the Department of Industrial Engineering and Innovation Science. His research focuses on integrating data-driven models and artificial intelligence into industrial processes. Specifically, he is developing predictive maintenance approaches for various engineering systems. He is also interested in applying new methodologies, such as digital twins, multi-objective optimization, and deep learning, for real decision-making in business. Juseong's research aims to improve the reliability, efficiency, and sustainability of Industry 4.0.
ACADEMIC BACKGROUND
Juseong Lee received his PhD in Aerospace Engineering from the Faculty of Aerospace Engineering at Delft University of Technology (2022). The title of his PhD dissertation is “Predictive Aircraft Maintenance: Integrating Remaining-Useful-Life Prognostics into Maintenance Optimization.” Dr. Lee received his MSc in Aerospace Engineering (2018) and BSc in Aerospace Engineering (2016) with Magna Cum Laude from the Korea Advanced Institute of Science and Technology.
Recent Publications
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Analyzing Emerging Challenges for Data-Driven Predictive Aircraft Maintenance Using Agent-Based Modeling and Hazard Identification
Aerospace (2023) -
Deep reinforcement learning for predictive aircraft maintenance using probabilistic Remaining-Useful-Life prognostics
Reliability Engineering and System Safety (2023) -
Multi-objective design of aircraft maintenance using Gaussian process learning and adaptive sampling
Reliability Engineering and System Safety (2022) -
Predictive aircraft maintenance
(2021) -
Multi-objective Analysis of Condition-based Aircraft Maintenance Strategies using Discrete Event Simulation
(2021)
Ancillary Activities
No ancillary activities