Personal profile
Education
Ph.D., Manufacturing Engineering, Seoul National University, Korea
M.Sc., Manufacturing Engineering, Seoul National University, Korea
B.Sc., Mechanical Engineering, KAIST, Korea
서울대학교 기계설계학과 공학박사
서울대학교 기계설계학과 공학석사
KAIST 정밀기계공학과 공학사
Professional Experience
Executive Director, Sungkyunkwan Extension School
Director, BK21 FOUR “Education and Research Group for Autonomous Smart Factory” by Ministry of Education, Korea
Vice chair, Korean Institute of Industrial Engineers
Independent Director, LG Innotek
President, Korean Society for Computational Design and Engineering
Vice chair, IFIP WG5.7, Advances in Production Management Systems
Independent Director, Seoyon E-hwa
Director, “HRD Program for Smart Factory Expert”, by Ministry of Trade, Industry and Energy, Korea
Director, “SKKU Industrial AI Solution Center”, ShinSung company, Korea
Guest Professor, KTH Royal Institute of Technology, Sweden
Guest Professor, MDH Mälardalen University, Sweden
Director, BK21Plus “Research & HRD Team for Smart Factory Design, Operation and Optimization based on Industrial Data Analytics”, Sungkyunkwan University, Korea
Chairman, Co-op Committee, Sungkyunkwan University, Korea
Vice Dean, College of Engineering, Sungkyunkwan University, Korea
Head, Department of Industrial Engineering, Sungkyunkwan University, Korea
Head, Department of Systems Management Engineering, Sungkyunkwan University, Korea
Visiting Researcher, Manufacturing Systems Research Lab, GM Research & Development, MI, U.S
Research Professor, Seoul National University, Korea
Senior Research Engineer, Institute for Advanced Engineering, Korea
성균관대학교 인재교육원 원장
교육부 BK21 FOUR “자율형 스마트공장 교육연구단, 단장
대한산업공학회 부회장
(주)LG이노텍 사외이사
한국CDE학회 부회장, 회장
IFIP WG5.7, Advances in Production Management Systems, 부회장
(주)서연이화 사외이사
산업통상자원부, “스마트공장 운영설계 전문인력양성사업단”, 성균관대 사업단장
“신성-성균관대 산업 AI 솔루션 센터”, 센터장
스웨덴 왕립공과대학(KTH), 방문교수
스웨덴 맬라다렌대학(MDH), 방문교수
교육부 BK21 PLUS “산업 데이터애널리틱스 기반 스마트공장 설계, 운영, 최적화 연구 및 인력양성팀
성균관대학교 코업위원회, 위원장
성균관대학교 공과대학, 부학장
성균관대학교 공과대학 시스템경영공학과, 학과장
성균관대학교 공과대학 산업공학과, 학과장
미국 GM Global R&D센터, 방문연구원
서울대학교 기계항공공학부 연구교수
고등기술연구원 생산기술센터 선임연구원
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure
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Collaborations and top research areas from the last five years
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Design and Optimization of Facility Layouts Using 3D Models and Reinforcement Learning
Yoo, J., Cho, H., Lee, D., Kim, G. Y., Kim, G., Yu, O., Jung, Y. & Noh, S. D., 2026, Product Lifecycle Management. PLM in the Age of Model-Based Engineering in Industry - 22nd IFIP WG 5.1 International Conference, PLM 2025, Revised Selected Papers. Mas, F., Del Valle, C., Eynard, B., Rivest, L. & Bouras, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 172-181 10 p. (IFIP Advances in Information and Communication Technology; vol. 772 IFIPAICT).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Digital Twin-Based Proactive Analysis and Prediction for Rolling Stock Production
Cho, H., Sajadieh, S. M. M. & Noh, S. D., 2026, Product Lifecycle Management. PLM in the Age of Model-Based Engineering in Industry - 22nd IFIP WG 5.1 International Conference, PLM 2025, Revised Selected Papers. Mas, F., Del Valle, C., Eynard, B., Rivest, L. & Bouras, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 161-171 11 p. (IFIP Advances in Information and Communication Technology; vol. 772 IFIPAICT).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Digital twin-driven deep reinforcement learning for real-time optimisation in dynamic AGV systems
Lee, D., Kang, Y. S. & Noh, S. D., 2026, In: International Journal of Production Research. 64, 1, p. 106-124 19 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Link opens in a new tab Scopus citations -
Digital Twin for Intelligent Production Management Using AI Computer Vision and Proactive Simulation
Cho, H., Lee, H., Noh, S. D., Choi, J. W. & Li, B., 2026, Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings. Mizuyama, H., Morinaga, E., Kaihara, T., Nonaka, T., von Cieminski, G. & Romero, D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 482-497 16 p. (IFIP Advances in Information and Communication Technology; vol. 764 IFIPAICT).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Extending ISO 23247: A Production Logistics Information Model for Integrated Digital Twins
Jo, S., Flores-García, E., Jeong, Y., Wiktorsson, M. & Noh, S. D., 2026, Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings. Mizuyama, H., Morinaga, E., Kaihara, T., Nonaka, T., von Cieminski, G. & Romero, D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 513-527 15 p. (IFIP Advances in Information and Communication Technology; vol. 764 IFIPAICT).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access