PEOPLE > Professor
Dr. Sangmin Lee is an assistant professor in School of Information Convergence at KwangWoon University. He received the PhD degree in the Department of Industrial Management Engineering, Korea University, South Korea. His research interests include Machine Learning, Artificial Intelligence, and Metaheuristics. Regarding major research applications, Predictive analytics for manufacturing, Healthcare data analytics for digital pathology and Rehabilitation, and Industrial Informatics for various applications are included.
Contact: smlee5679_at_kw.ac.kr
TEL: +82-2-940-5764
Office: Room 607, Bldg. Saebit, KwangWoon University, Seoul, South Korea
PROFESSIONAL EXPERIENCES
Assistant Professor, School of Information Convergence, College of Software and Convergence, KwangWoon University, 2020 September - Present
Data and Decision Scientist, Material Handling Systems Group, Data & IT Center, Samsung Electronics, 2019 March – 2020 August
Software Engineer, Manufacturing Technology Center, Samsung Electronics, 2010 April - 2015 February
Software Engineer, Business Process Laboratory, R&D Center, TmaxSoft, 2007 March - 2010 March
EDUCATION
Ph.D. in Industrial Management Engineering, Korea University, 2019
∙ Dissertation title: “Artificial Intelligence in Material Handling Systems for Dynamic Manufacturing Environments”
∙ International research program: Fachgebiet Produktionsmanagement, Technische Universität Berlin, 2005
B.S. in Industrial Engineering, Hankuk University of Foreign Studies, 2004
∙ Summa Cum Laude
HONORS & AWARDS
Best Paper Awards, Korea Management Engineers Society, Kyeongki, Korea, 2019 (December 2).
Best Oral Presentation Awards, IEEE International Conference on Industrial Engineering and Applications, Nagoya, Japan, 2017 (April 23).
Best Paper Awards, The Spring Conference of the Korean Reliability Society, Jeju, Republic of Korea, 2017 (May 25).
Minister’s Citation, The Ministry of Education, Seoul, Republic of Korea, 2003 (December 31).
Scholarship for a Ph.D. degree, Samsung Electronics, 2015-2019.
Scholarship for an Exchange Research Program, Deutscher Akademischer Austauschdienst (DAAD), 2005.
WORK EXPERIENCES
Prediction-Based Intelligent Manufacturing for optimizing scheduling, dispatching, and job assignment tasks
Samsung Electronics, Korea, (January 2017 – August 2020)
Proposed and developed the anticipatory systems to minimize the production facility idleness and reduce human intervention for the abnormal events in plants. Managing the large-scale automation system is too tough and labor-intensive; thus, they are not sufficiently optimized by the deterministic and rule-based approaches. We successfully employed several predictive systems in the real-world applications such as scheduling, dispatching, and job assignment tasks in manufacturing fields. The success story on artificial intelligence-based control system is relatively rare in production sites. This is because that several difficulties exist to adopt AI-based systems in production sites; low resource learning problems, the highly coupled system of systems, unsafe data-driven approaches for decision making, rare abnormality, and non-stationary conditions data problems and so on. We thus pursue to 1) define the problem solved by data analysis, 2) build the robust and sustainable AI systems, and 3) collaborate with domain experts to consider about stable operation plans. It's very encouraging to obtain a successful AI-based decision-making system in consideration of all practical issues.
Material Handling Automation in Fabrication
Samsung Electronics, Korea, (March 2014 – August 2020)
Analyzed the performance of automated material handling operation at semiconductor fabrication; developed mathematical/analytical models to improve the performance of automated material handling system; developed the OHT (Overhead Transport) Control System and Stocker Control System.
Manufacturing Monitoring and Optimization System Development in Electrical Die Sorting
Samsung Electronics, Korea, (July 2012 – June 2013)
Initiated the mega project in which the developed system provided monitoring, analyzing and optimizing functions for EDS manufacturing lines. The loss of asset utilization of equipment is visualized in Gantt Chart and the mathematical model provide the optimal production planning, now for more than 200 operators.
Evaluation and Approval for manufacturing operation regarding automation efficiency and effectiveness
Samsung Electronics, Korea, (June 2010 – August 2010, April 2014 – November 2014)
Announcing the flexibility of the manufacturing system relative to the variability of production demands. Especially, I focused on evaluating the capacity planning performance with regard to the severe bottleneck facilities. We suggested the multiple criteria and developed an innovative method which can be robustly applied in various production environments of the semiconductor manufacturing.
Factory Layout Design and Improvement
Samsung Electronics, Korea, (November 2011 – December 2014)
As part of the Manufacturing Modeling and Simulation Analysis Research project, developed the manufacturing simulation and analysis tool to design factory layout and improve the manufacturing operation, which had been applied in affiliated overseas manufacturing lines.
Developing High Fidelity Simulator-Based on Discrete Event Simulation for Material Handling System
Samsung Electronics, Korea, (April 2010 – December 2013)
To support production scheduling decision making, developed a sophisticated modeled simulator for semiconductor manufacturing system. The simulator was modeled by discrete event simulation concepts and used to obtain optimal decision making by considering both production and material handling systems.
Enterprise Data Integration (EDI) Software Development
TmaxSoft, Korea, (July 2008 – February 2010)
Participated to develop an architectural solution for various industrial system interactions by developing an enterprise service bus (ESB)-based solution. The solution aims at providing abundant services such as process automation, protocol processing, and rule combinations to facilitate data transfers and obtain the service orchestration. I focused on developing the enterprise application integration (EAI) adapter, including HTTP-, WEBDAV-, SAP-, SWIFT-, and so forth.
Developing Web-Based Monitoring System for IT System Administrator
TmaxSoft, Korea, (January 2007 – June 2008)
Developed the administration system based on web applications for the commercial products. The system was built on the conventional web frameworks such as struts, jsf, ajax, and spring stuffs.
CERTIFICATE
Certified in Production and Inventory Management (CPIM), American Production and Inventory Control Society (APICS), June 2003 (Renewed August 2019)
Oracle Certified Java Programmer (OCJP), Oracle and Sun Microsystems, August 2002
Oracle Certification Program (OCP), Oracle and Sun Microsystems, May 2003
ACADEMIC SERVICES
Vice President / Academic Director
∙ Korea Data Mining Society, 2024-Present
Editorial Committee
∙ Korea Information Processing Society, 2022-Present.
∙ Institute of Industrial Technology, Kangwon University, 2021-Present
Journal Reviewer
∙ IEEE Transactions on Knowledge and Data Engineering, 2021-Present.
∙ Applied Soft Computing, Elsevier, 2020-Present
∙ Applied Sciences, mdpi, 2021-Present.
∙ Expert Systems with Applications, Elsevier, 2020-Present
∙ IEEE Access, IEEE Xplore, 2020-Present
∙ IEEE Transactions on Big Data, IEEE Xplore, 2021-Present
∙ IEEE Transactions on Industrial Informatics, IEEE Xplore, 2020-Present
∙ IEEE Transactions on Knowledge and Data Engineering, IEEE Xplore, 2021-Present
. Journal of Intelligent Manufacturing, Springer Nature, 2019-Present
∙ Annals of Operations Research, Elsevier, 2021-Present.
∙ Journal of Grid Computing, Elsevier, 2021-Present
∙ Transportation Letters: the International Journal of Transportation Research, Maney Publishing, 2021-Present
∙ Vehicles, mdpi, 2020-Present
Advisor/Evaluator
∙ National Information Society Agency, 2021-Present
Member in Professional Association
∙ IEEE Member, 2023-현재
∙ 한국데이터마이닝 학회(Korea Data Mining Society), 2022-현재
∙ 대한산업공학회(Korean Institute of Industrial Engineers), 2022-현재
∙ 한국정보처리학회(Korea Information Processing Society), 2022-현재
∙ 한국정보과학회(Korean Institute of Information Scientists and Engineers), 2021-현재
∙ Winter simulation conference, 2011-Present
∙ Data Mining and Decision Analytics Workshop in INFORMS, 2018-Present
∙ Institute for Operations Research and Management Science (INFORMS), 2015-Present
∙ Korean Institute of Industrial Engineers, 2012-Present
∙ American Production and Inventory Control Society (APICS), 2003-Present
∙ Association for Supply Chain Management (ASCM), 2003-Present