Professor
Associate Professor
Department of Systems Management Engineering (Industrial Engineering), Sungkyunkwan University
Office: 27408B (Engineering Building 2)
Tel./Fax.: +82 31 290 7596 / +82 31 290 7610
E-mail: s.kang at skku.edu
Education
2011.03 - 2015.08, Ph.D., Industrial Engineering, Seoul National University
2008.03 - 2011.02, B.S., Industrial Engineering, Seoul National University
Experience
2023.09 - present, Associate Professor, Department of Systems Management Engineering (Industrial Engineering), Sungkyunkwan University
2018.01 - 2018.12, Visiting Scholar, Courant Institute of Mathematical Sciences & Center for Data Science, New York University
2017.09 - 2023.08, Assistant Professor, Department of Systems Management Engineering (Industrial Engineering), Sungkyunkwan University
2015.09 - 2017.08, Research Staff Member, Samsung Advanced Institute of Technology
Professional Activities
2020.01 - 2023.12, Board Member, Korean Operations Research and Management Science Society
2021.01 - 2022.12, Board Member, Korean Institute of Industrial Engineers
2018.01 - 2021.12, Board Member, Korea Data Mining Society
Reviewer for Artificial Intelligence in Medicine, Computers in Industry, Expert Systems with Applications, IEEE Access, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Industrial Informatics, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Semiconductor Manufacturing, Information Fusion, Information Sciences, International Journal of Production Research, Journal of Chemical Information and Modeling, Neural Computing & Applications, Pattern Recognition, Conference on Neural Information Processing Systems, International Conference on Learning Representations, International Conference on Machine Learning, and many more...
Honors and Awards
2023 -2026, 成工 Young-Fellowship, College of Engineering, Sungkyunkwan University
2022, Best Teacher Award (Outstanding Lecture Portfolio), College of Engineering, Sungkyunkwan University
2020, BK21 PLUS Outstanding Researcher Award, Ministry of Education
2016, Gold Prize (Base Technology), Samsung Best Paper Award, Samsung
2015, The 7th Lee Joong Han Award (Research), Department of Industrial Engineering, Seoul National University
2011, Best Tutor Award, College of Engineering, Seoul National University
2011, Best Graduate Award, The SNU College of Engineering Alumni Association
2011, Summa Cum Laude, Seoul National University
2008 - 2011, National Scholarship for Science and Engineering, Korea Student Aid Foundation
Short Bio
Seokho Kang is an associate professor of industrial engineering at Sungkyunkwan University. He received his B.S. and Ph.D. degrees in industrial engineering from Seoul National University in 2011 and 2015, respectively. His research focuses on bridging the gap between theory and practice in machine learning by addressing practical challenges, such as data scarcity and inaccessibility, high annotation costs, limited computational resources, and dynamic environments with uncertainty. He is also interested in applying machine learning to solve real-world problems across various industrial fields, including manufacturing, materials, and healthcare. He has published over 70 papers in refereed journals and conference proceedings related to these areas.