Principal Investigator
Prof. Seong Tae Kim
Assistant Professor
School of Computing
College of Software
Kyung Hee University
Contact
st.kim@khu.ac.kr
+82-31-201-3761
#508, Electronic Information College Building, 1732 Deogyeong-daero, Giheung-gu, Yongin, Gyeonggi-do, 17104, South Korea
Education
- PhD, School of Electrical Engineering, KAIST (2019)
- Advisor: Prof. Yong Man Ro
- MS, Department of Electrical Engineering, KAIST (2014)
- BS, School of Electrical Engineering, Korea University (2012)
Work Experience
- Chair of Department of Artificial Intelligence, Kyung Hee University (2025.2~)
- Assistant Professor, Department of Computer Science and Engineering, Kyung Hee University (2021.3~)
- Senior Research Scientist, Chair for Computer Aided Medical Procedures, Department of Informatics, Technical University of Munich (2019.3~2021.2)
- Advisor: Prof. Nassir Navab
- Visiting Researcher, Department of Electrical and Computer Engineering, University of Toronto (2015)
- Advisor: Prof. Konstantinos N Plataniotis
Professional Services
- Organizing Committee - MICCAI 2025 (Outreach Chair), GRAIL 2025 of MICCAI (Co-Chair), IJCAI 2024 (Workshop and Tutorial Coordinator)
- Associate Editor - IEEE Trans. Circuits and Systems for Video Technology (2022.1~)
- Area Chair - MICCAI 2022, MICCAI 2023, MICCAI 2024
- Reviewer / Program Committee - NeurIPS, CVPR, ICCV, ECCV, ICLR, AAAI, MICCAI, IROS, IJCAI, ICML, Nature Communications, IEEE Trans. Medical Imaging, IEEE Trans. Cybernetics, IEEE Trans. Image Processing, IEEE Trans. Multimedia, Pattern Recognition, etc.
Awards and Honors
- PhaKIR Award (1st place in the category surgical instrument segmentation), MICCAI Endoscopic Vision Challenge (2024)
- Top 25% Program Committee, AAAI(2021)
- Research Credit Award, Google Cloud (2019-2021)
- Outstanding Reviewer Award, BMVC (2020)
- Best Student Paper Award, SPIE Medical Imaging (2018)
- Research Excellence Award, School of Electrical Engineering, KAIST (2016,2017,2018)
- 24th Samsung HumanTech Honorable Mentions (2018)
- 23rd Samsung HumanTech Paper Award (2017)
- Best 10% Paper Award, IEEE International Conference on Image Processing (2015)
- Honorable Mention Poster Award, SPIE Medical Imaging (2015)