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)
  • MS, Department of Electrical Engineering, KAIST (2014)
  • BS, School of Electrical Engineering, Korea University (2012)

Work Experience

  • Head of School of Computing, Kyung Hee University (2025.9~)
  • Department Chair 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)
  • Visiting Researcher, Department of Electrical and Computer Engineering, University of Toronto (2015)

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 / Senior Program Committee - MICCAI 2022, MICCAI 2023, MICCAI 2024, AAAI 2026 AI Alignment Track
  • Reviewer / Program Committee - NeurIPS, CVPR, ICCV, ECCV, ICLR, AAAI, MICCAI, IROS, IJCAI, ICML, Nature Communications, IEEE Trans. Medical Imaging, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Image Processing, IEEE Trans. Multimedia, IEEE Transactions on Sustainable Computing, IEEE Transactions on Automation Science and Engineering, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Mobile Computing, IEEE Transactions on Big Data, IEEE Transactions on Industrial Informatics, Pattern Recognition, etc.

Awards and Honors

  • PhaKIR Award, 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)