curriculum vitae

Email
dlrm741@kaist.ac.kr
Location
Daejeon, South Korea
Google Scholar
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LinkedIn
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GitHub
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ORCID
0000-0003-4845-4063

Education

Ph.D. in Mechanical Engineering, KAIST 2023 – 2027 (Expected)
Advisor: Prof. Seunghwa Ryu
M.S. in Mechanical Engineering, Pusan National University 2021 – 2023
Advisor: Prof. Songkil Kim / Co-advisor: Dr. Taehyun Lee
Thesis: A Study on Fault Diagnosis/Prognosis of Seal of Ship Oil Purifier Using Condition Monitoring
B.S. in Mechanical Engineering, Pusan National University 2015 – 2021

Research & Work Experience

Graduate Research Assistant & Researcher Jan. 2021 – Feb. 2023
Department of Reliability Assessment, Korea Institute of Machinery and Materials (KIMM)

Publications

† equally contributed   ·   * corresponding author
  1. S. Lee, J. Lee, D. Park, S. K. Lee, J. H. Cho, K. G. Lee*, H. M. Kim*, and S. Ryu* (2026). "Reassessing Negative 24 h pH Impedance Tests for Hidden Gastroesophageal Reflux Disease Using Multi Feature Anomaly Detection," npj Digital Medicine, Advance Online Publication, DOI: 10.1038/s41746-026-02796-y.
  2. S. Lee†, S. Kang†, J. Nam, J. Yu, M. Kim, and S. Ryu* (2026). "Inverse Design of Thermally Active Composite via Policy-Transferred Reinforcement Learning," Materials Horizons, Advance Article, DOI: 10.1039/D6MH00239K.
  3. J.-Y. Kim†, S. Lee†, J. Yu, J. Lee, and S. Ryu* (2026). "Federated Learning for Privacy-Preserving Quality Prediction in the Globalized Plastic Injection Molding Industry," International Journal of Precision Engineering and Manufacturing, Advance Online Publication, DOI: 10.1007/s12541-026-01546-0.
  4. H. Moon†, S. Lee†, W. Demeke*, B. Ryu, and S. Ryu* (2025). "Physics-Informed Neural Operators for Generalizable and Label-Free Inference of Temperature-Dependent Thermoelectric Properties," npj Computational Materials, Vol. 11, Article No. 272, DOI: 10.1038/s41524-025-01769-1.
  5. J. Kim†, T. Lee†, S. Lee, J. Lee, W. Lee, Y. Kim*, and J. Park* (2022). "A Study on Deep Learning-Based Fault Diagnosis and Classification for Marine Engine System Auxiliary Equipment," Processes, Vol. 10, No. 7, Article No. 1345, DOI: 10.3390/pr10071345.
  6. S. Lee†, T. Lee†, J. Kim, J. Lee, K. Ryu, Y. Kim*, and J. Park* (2022). "A Study on the Application of Discrete Wavelet Decomposition for Fault Diagnosis on a Ship Oil Purifier," Processes, Vol. 10, No. 8, Article No. 1468, DOI: 10.3390/pr10081468.
  7. J. Kim, T. Lee, S. Lee, J. Lee, D. Shin, W. Lee, and Y. Kim* (2022). "A Study on the Development of a Failure Simulation Database for Condition Based Maintenance of Marine Engine System Auxiliary Equipment," Journal of the Society of Naval Architects of Korea, Vol. 59, No. 4, pp. 200-206, DOI: 10.3744/SNAK.2022.59.4.200.
  8. S. Lee, J. Kim, J. Lee, Y. Kim, S. Kim, and T. Lee* (2022). "A Study on the Development of Database and Algorithm for Fault Diagnosis for Condition Based Maintenance of Rubber Seal in Ancillary Equipment of Autonomous Ships," Journal of Applied Reliability, Vol. 22, No. 1, pp. 48-58, DOI: 10.33162/JAR.2022.3.22.1.048.

Conference Presentations

  1. S. Lee, S. Kang, J. Yu, J. Shin, and S. Ryu (2025). "Reinforcement Learning-Based Design of Temperature-Responsive 4D Printed Composites for Various Target Shapes," Oral Presentation, KSME Spring and Autumn Conference, Jeju, South Korea.
  2. S. Lee, J. Lee, S. Jung, S. Lee, H. M. Kim, and S. Ryu (2024). "Data-Driven Framework for Diagnosis of Gastroesophageal Reflux Disease Using Sensor Data and Anomaly Detection," Oral Presentation, KSME Spring and Autumn Conference, Jeju, South Korea.
  3. S. Lee, J. Lee, K. Yang, W. Choi, and S. Ryu (2024). "Data-Driven Optimization of Composition and Process Parameters for Enhanced Mechanical Properties of PP/GF Composites," Oral Presentation, KSME Spring and Autumn Conference, Jeju, South Korea.
  4. S. Lee, J. Kim, J. Lee, and T. Lee* (2022). "Application of Signal Processing and Machine Learning for Condition Monitoring-Based Fault Diagnosis of Marine Oil Purifier," Poster Presentation, KSICON Spring Conference, Busan, South Korea.
  5. S. Lee, J. Kim, J. Lee, Y. Kim, S. Kim, and T. Lee* (2022). "Development of a Fault Classification Model of Oil Purifier Using Wavelet Packet Decomposition," Poster Presentation, PHM Korea 2022, Seoul, South Korea.
  6. J. Kim, S. Lee, J. Lee, Y. Kim, and T. Lee* (2022). "Fault Classification Based on Deep Learning for Condition-Based Maintenance of Fuel Supply System for Ships," Oral Presentation, PHM Korea 2022, Seoul, South Korea.
  7. S. Lee, J. Kim, J. Lee, Y. Kim, S. Kim, T. Lee, and J. Park* (2022). "Development of a Fault Classification Algorithm Based on Supervised Learning with Feature Extraction for Condition-Based Maintenance of Oil Purifier in Ships," Oral Presentation, Division of Reliability Engineering of KSME Spring Conference, Jeju, South Korea.
  8. S. Lee, J. Kim, J. Lee, Y. Kim, S. Kim, and T. Lee* (2021). "Development of a Database and Diagnosis Algorithm for Condition-Based Fault Diagnosis of NBR Seal in Ancillary Equipment of Autonomous Ships," Oral Presentation, KSPE Fall Conference, Busan, South Korea.
  9. J. Kim, J. Lee, S. Lee, Y. Kim, and T. Lee* (2021). "Database Construction for Condition Monitoring and Failure Prediction of Ancillary Equipment of Autonomous Ships Engine Systems," Poster Presentation, PHM Korea 2021, Jeju, South Korea.
  10. J. Kim, J. Lee, S. Lee, Y. Kim, W. Shin, and T. Lee* (2021). "Reliability Analysis of Ancillary Equipment of Autonomous Ship Engine Systems," Poster Presentation, Division of Reliability Engineering of KSME Spring Conference, Jeju, South Korea.

Patents

  1. S. Ryu, S. Lee, H. M. Kim, and K. G. Lee. "Method and System for Predicting Gastroesophageal Reflux Disease," KR Patent Application in Preparation, KAIST Management No. P2024-1220-KR01.
  2. T. Lee, S. Lee, Y. Kim, J. Lee, and J. Kim. "Data Acquisition Method and Apparatus for Fault Diagnosis of Oil Purifier," KR Patent No. 10-2656658, registered Apr. 5, 2024.
  3. J. Kong, S. Lee, T. Lee, S. Choi, S. Koo, H. Song, and S. Kim. "Autonomous Driving Control Method for Logistics Transportation and Device Using the Same," KR Patent Application No. 10-2021-0006588, filed Jan. 18, 2021, rejected.

Projects

i-Lab-on-Human 기반 체내 생체 신호 모니터링 시스템 Mar. 2023 – Dec. 2025
National Nanofab Center with Yonsei University Severance Hospital
머신러닝적용 재료모델링 및 설계최적화기술을 이용한 전기자동차용 플라스틱 테일게이트 개발 Mar. 2023 – Jan. 2025
Minister of SMEs and Startups with KRICT
자율운항선박 핵심 기관시스템 성능 모니터링 및 고장예측 진단 기술 개발 Mar. 2021 – Feb. 2023
Minister of Trade, Industry and Energy with KIMM

Awards & Scholarships

Excellent Poster Presentation Award Jul. 2022
Organized by the Korean Society of Industry Convergence
Excellent Poster Presentation Award Jul. 2022
Organized by the Korean Society for Prognostics and Health Management
Intel prize (3rd prize), Engineering Education FESTA 2019 AI Hackathon Nov. 2019
Research & Information Center for innovative Engineering Education (RICEE)
National Excellence Scholarship for Science and Engineering 2015 – 2021
Funded by Korean Student Aid Foundation (KOSAF)

References

Dr. Seunghwa Ryu PHD ADVISOR
KAIST Endowed Chair Professor, Mechanical Engineering, KAIST (ryush@kaist.ac.kr)
Dr. Songkil Kim MS ADVISOR
Associate Professor, School of Mechanical Engineering, Pusan National University (songkil.kim@pusan.ac.kr)
Dr. Taehyun Lee MS ADVISOR
Principal Researcher, Dept. of Reliability Assessment, KIMM (thlee07@kimm.re.kr)
Dr. Yongjin Kim
Senior Researcher, Dept. of Reliability Assessment, KIMM (yjkim2014@kimm.re.kr)