Industrial AI ・ Physics-informed Neural Network ・ Operator Learning
Currently a 5th year graduate student pursing the MS/Ph.D degree with Industrial Artificial Intelligence (iAI) Lab. at Pohang University of Science and Technology (POSTECH). My major research topic is Physics-informed Neural Networks (PINNs) and I try to apply this subject to various Mechanical Engineering field
Pohang University of Science and Technology (POSTECH), South Korea
Ph.D Candidate in Mechanical Engineering (Adviser: Prof. Seungchul Lee) Mar. 2021 ~ Present
Pohang University of Science and Technology (POSTECH), South Korea
B.S. in Mechanical Engineering Mar. 2017 ~ Feb. 2021
Published
Jongmok Lee, Seungmin Shin, Ho Choi, Anna Lee, Bumsoo Park*, and Seungchul Lee*, 2025, "Extended Multiphysics-informed Neural Network for Conjugate Heat Transfer Problems," accepted for publication in the International Journal of Heat and Mass Transfer.
Jongmok Lee+, Seungmin Shin+, Taewan Kim, Bumsoo Park, Ho Choi, Anna Lee, Minseok Choi* and Seungchul Lee*, 2025, "Physics Informed Neural Networks for Fluid Flow Analysis with Repetitive Parameter Initialization," accepted for publication in Scientific Reports (+ equally contributed).
Jaejung Park, Jongmok Lee, Jaejun Lee, Kyoungmin Min, Haesun Park*, and Seungchul Lee*, 2024, "Active Learning Framework for Expediting the Search of Thermodynamically Stable MXenes in the Extensive Chemical Space," ACS Nano, https://doi.org/10.1021/acsnano.4c08621.
Changyun Choi, Jongmok Lee, Hyun-Joon Chung, Jaejung Park, Bumsoo Park, Seokman Sohn, and Seungchul Lee*, 2023, "Directed Graph-Based Refinement of Three-Dimensional Human Motion Data using Spatial-Temporal Information," International Journal of Precision Engineering and Manufacturing - Smart Technology (IJPEM-ST), 2(1):33-46, https://doi.org/10.57062/ijpem-st.2023.0094.
In preparation
Taewan Kim, Seungmin Shin, Jongmok Lee, Changhwan Lee, Insoo Ye, Ho Choi, and Seungchul Lee*, 2024, "A Physics-informed Convolutional Framework for Digital Twins: Fast Interpolation of Numerical Simulations", submitted.
Jongmok Lee, Chaeyun Won, Anna Lee, Bumsoo Park, and Seungchul Lee*, 2025, "Geometry-adaptive Physics-informed DeepONet for Fluid Dynamics", submitted.
Chaeyun Won+, Jongmok Lee+, Anna Lee, and Seungchul Lee*, 2025, "SPOD-DeepONet: A Space-Time Separated DeepONet With Spectral Proper Orthogonal Decomposition for Transient Problems", in preparation.
Development of IoT-based work safety management platform to establish a safe environment for power plants
Collaborated with Korea Institute of Energy Technology Evaluation and Planning (KETEP)
Development of interlocking modular waist, shoulder, and knee strength support exosuit technology
Collaborated with Agency for Defense Development (ADD)
Development of Metasoft Organ Module Manufacturing Technology and Module Assembly Robot System
Collaborated with Ministry of Trade, Industry and Energy
2021 The Best Paper Award at the Korean Society of Mechanical Engineers (KSME) Conference 2021