Jongmok Lee+, Seungmin Shin+, Taewan Kim, Bumsoo Park, Ho Choi, Anna Lee, Minseok Choi* and Seungchul Lee*
Accepted for publication in Scientific Reports (+ equally contributed) in 2025
Jongmok Lee, Seungmin Shin, Ho Choi, Anna Lee, Bumsoo Park*, and Seungchul Lee*
Accepted for publication in the International Journal of Heat and Mass Transfer in 2025
GAPI-DeepONet: A Geometry-adaptive Physics-informed Operator Framework Generalized for Arbitrary Geometries
Jongmok Lee, Chaeyun Won, Anna Lee, Bumsoo Park, and Seungchul Lee*
Submitted in Engineering Applications of Artificial Intelligence
SPOD-DeepONet: A Space-Time Separated DeepONet With Spectral Proper Orthogonal Decomposition for Transient Problems
Chaeyun Won+, Jongmok Lee+, Anna Lee, and Seungchul Lee*
In preparation
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.
Jongmok Lee, Keonhyeok Park, Chaeyun Won, and Seungchul Lee, 2025, "Geometry-adaptive Physics-informed DeepONet for Acoustic Scatterer," the 31st International Congress on Sound and Vibration (ICSV31), Incheon, Korea.
Jongmok Lee, Keonhyeok Park, Hyunjoon Chung and Seungchul Lee, 2023, "Deep Learning-based Human Action Recognition with Exo-Suit," 20th International Conference on Ubiquitous Robots (UR), Honolulu, USA.
Jongmok Lee, Junbum Park, Sungmin Kim, Seokman Sohn, and Seungchul Lee, "Deep learning-based Human Safety Management," ifip International Conference APMS (Advances in Production Management Systems) 2022, Gyeongju, Korea.
이종목, 박건혁, 원채윤, 이승철, 2025, "형상 변화를 고려한 음향 산란체의 파동 전파 및 산란 특성 분석," 한국소음진동공학회 춘계학술대회, 제주.
이종목, 박건혁, 박재정, 오예니, 이승철, 2025, "형상 변화를 반영한 음향 산란체의 파동 전파 및 산란 특성 해석," 대한기계학회 CAE 및 응용역학 부문 춘계학술대회, 제주.
이종목, 원채윤, 이승철, 2024, "Geometry-adaptive Physics-informed DeepONet," 한국전산구조공학회 학술심포지엄, 전주.
이종목, 박범수, 이승철, 2024, "형상 변화를 반영할 수 있는 물리 지식 기반 딥오넷," 대한기계학회 본부학술대회, 제주.
이종목, 박건혁, 이승철, 2024, "형상 변화를 반영할 수 있는 물리지식기반 딥오넷 모델," 한국전산구조공학회 춘계학술대회, 제주.
이종목, 신승민, 김태완, 이승철, 2023, "물성 변화를 고려한 이중 열 교환 모사 물리기반 인공지능," 대한기계학회 CAE및응용역학 부문 춘계학술대회, 부산.
이종목, 박준범, 김성민, 손석만, 이승철, 2022, "이상치 탐지를 이용한 산업 현장 내 위험 행동 분류," 대한기계학회 IT융합 부문 춘계학술대회, 안동.
이종목, 최창윤, 박준범, 김성민, 손석만, 이승철, 2021, "Deep Learning-based Human Action Recognition in Real-Time to Prevent Industrial Workplace Accident," 대한기계학회, 경주.
이종목, 최창윤, 박준범, 김성민, 손석만, 이승철, 2021, "Deep Learning-based Human Action Recognition to Prevent Industrial Workplace Accident," 한국안전학회, 여수.
이종목, 최창윤, 박준범, 김성민, 손석만, 이승철, 2021, "Deep Learning-based Human Action Recognition to Prevent Industrial Workplace Accidents," 대한기계학회 신뢰성부문, 제주.