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Ph.D. Candidate @ POSTECH

Industrial AI ・ Physics-informed Neural Network ・ Operator Learning

Jongmok Lee [CV] is 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, Vol. 246, 127098, https://doi.org/10.1016/j.ijheatmasstransfer.2025.127098.
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, 15, 16740, http:/doi.org/10.1038/s41598-025-99354-5 (+ 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*, 2025, "A Physics-informed Convolutional Framework for Digital Twins: Fast Interpolation of Numerical Simulations," in preparation.
Jongmok Lee, Chaeyun Won, Anna Lee, Bumsoo Park, and Seungchul Lee*, 2025, "GAPI-DeepONet: A Geometry-adaptive Physics-informed Operator Framework Generalized for Arbitrary Geometries," 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.

DeepONet 기반 연산자 학습을 이용한 CFD 결과 내삽 및 고해상화 기술 개발 [25.07~]
- Collaborated with POSCO Holdings
CNN 기반의 U-net을 사용한 CFD 내삽기술 개발 [24.05~25.04]
- Collaborated with POSCO Holdings
소성로 내부 현상 실시간 가시화를 위한 시뮬레이션 기술 개발 [22.10~23.09]
- Collaborated with POSCO Holdings
발전소 안전환경 정착을 위한 IoT기반 작업안전관리 플랫폼 개발 [20.05~24.10]
- Collaborated with Korea Institute of Energy Technology Evaluation and Planning (KETEP)
상호연동 모듈형 허리, 어깨, 무릎 근력보조 엑소수트 기술 개발 [19.06~24.12]
- Collaborated with Agency for Defense Development (ADD)

2023 The Best Paper Award at the Korean Society of Mechanical Engineers (KSME) IT Convergence Technology

2024 The Outstanding Paper Award at the 7th International Conference on Materials and Reliability (ICMR-2024)

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