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Ph.D. Candidate @ POSTECH

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

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.

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

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