Seong Tae Kim

Dr. Seong Tae Kim is an Assistant Professor of Computer Science and Engineering at Kyung Hee University, South Korea. He is a director of Augmented Intelligence Laboratory. Prior to joining Kyung Hee University, he was a senior research scientist in Chair for Computer Aided Medical Procedures at Technical University of Munich, Germany. He completed the Ph. D. at KAIST Image and Video sYstems Lab. (supervised by Prof. Yong Man Ro), South Korea, in 2019. He received the B.S. degree from Korea University, South Korea, in 2012 and the M.S. degree from KAIST, South Korea, in 2014. In 2015, he was a visiting researcher at the University of Toronto, Canada. His research interests include machine learning, deep learning, explainable AI, interpretability, medical image analysis, and spatio-temporal learning. He is a recipient of Best Student Paper Award (2018) and Honorable Mention Poster Award (2015) from SPIE Medical Imaging, Samsung HumanTech Paper Award (2017), Best 10% Paper Award (2015) from IEEE International Conference on Image Processing, Outstanding Reviewer Award from British Machine Vision Conference (BMVC 2020), and Best Paper Award from Korea Multimedia Society (2012, 2016) [GoogleScholar]

Contact

Address: #508, Electronics & Information College Building, Kyung Hee University, 1732, Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do, South Korea

Homepage: ailab.khu.ac.kr

Email: st.kim@khu.ac.kr

Phone: +82 31 201 3761

RESEARCH INTERESTS

  • Deep learning based medical image analysis and computer assisted intervention

  • Specific topics

    • Reliable AI: Interpretability, uncertainty, and robustness

    • Spatio-temporal deep learning: Longitudinal image analysis, surgical workflow analysis

    • Data efficient deep learning: Active learning, self-supervised learning, semi-supervised learning, continuous learning, and learning under noisy data

RESEARCH EXPERIENCE

  • Assistant Professor (2021-Present)

  • Senior Research Scientist (Mar. 2019-Feb.2021)

    • Chair for Computer Aided Medical Procedures, Department of Informatics, Technische Universität München, München, Germany

    • Working with Prof. Nassir Navab

  • Research Assistant (Feb. 2012-Feb.2019)

    • Image and video systems laboratory, Department of Electrical Engineering, KAIST, Daejeon, South Korea

    • Performed research supervised by Prof. Yong Man Ro

  • Visiting Researcher (Jan. 2015-Mar. 2015)

    • Multimedia laboratory, Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada

    • Performed research advised by Prof. Konstantinos N. Plataniotis

EDUCATION

  • Doctor of Philosophy (Mar. 2014-Feb. 2019)

    • School of Electrical Engineering, KAIST (Korea Advanced Institute of Science and Technology), Daejeon, South Korea

    • Supervised by Prof. Yong Man Ro

  • Master of Science (Feb. 2012-Feb. 2014)

    • Department of Electrical Engineering, KAIST (Korea Advanced Institute of Science and Technology), Daejeon, South Korea

    • Supervised by Prof. Yong Man Ro

  • Bachelor of Engineering (Mar. 2008- Feb. 2012)

    • Department of Electrical Engineering, Korea University, Seoul, South Korea