Professor

Ki-Hun Kim (김기훈), Ph.D.

He is an Assistant Professor in the Department of Industrial Engineering at Pusan National University and is jointly affiliated with the Graduate School of Data Science. His research interests include methods and applications of AI for industries such as healthcare, manufacturing, defense, finance, and logistics. Previously he was a Postdoctoral Researcher at TU Delft and Erasmus MC in the Netherlands (under the supervision of Prof. Maaike Kleinsmann) to develop a digital twin for personalized healthcare. He earned his B.S. and Ph.D. (under the supervision of Prof. Kwang-Jae Kim) in the Department of Industrial and Management Engineering from POSTECH in 2012 and 2019.

Google Scholar | Curriculum Vitae (updated March 2025)

Contact Information

Email: kihun@pusan.ac.kr
Office: +82-51-510-2336
Lab: +82-51-510-1568

Education

2019, Ph.D. in Industrial and Management Engineering, POSTECH (Advisor: Prof. Kwang-Jae Kim)
2012, B.S. in Industrial and Management Engineering, POSTECH

Experience

2021-present, Assistant Professor, Department of Industrial Engineering, Pusan National University
2024-present, Adjunct Professor, Graduate School of Data Science, Pusan National University
2020-2021, Postdoctoral Researcher, TU Delft
2019-2020, Postdoctoral Researcher, UNIST

Honors

Academic Award, the 11th Conference of Korean Academy of Cardiorespiratory Physical Therapy, 2023
Best Presentation Award, 2023 Fall Conference of Korean Society of Quality Management, 2023
Best Researcher Award, College of Engineering, Pusan National University, 2023.
Best Presentation Award, 2021 Spring Conference of Korean Thyroid Association, 2021
Best Ph.D. Thesis Award, Department of Industrial and Management Engineering, POSTECH, 2020
Best Paper in JSTP for the 2018 Literati Awards for Excellence, 2019
Best Presentation Award, 2018 Fall Conference of Korean Society of Quality Management, 2018
Highly Commended Award, International Research Symposium in Service Management, 2017
Best Student Paper Award, IRC-SEMS 2017, 2017
Best Paper Award, SERVISIG 2016, 2016

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