Professor : Kyungsu Kim, PhD

Kyungsu Kim received his B.S. and M.S. degrees in electrical engineering from Seoul National University, Seoul, Korea, in 2011 and 2013, respectively. He was awarded the distinguished M.S. degree dissertation award. He obtained his Ph.D. in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 2019. From 2019 to 2020, he was a postdoctoral AI/ML researcher at the Graduate School of Artificial Intelligence at KAIST (ranked 5th in the world and 1st in Asia for CS/AI in 2021). From 2020 to 2022, he served as a senior AI/ML research engineer at the Medical AI Research Center, Samsung Medical Center, Seoul, Korea. Between 2021 and 2023, he was a research professor at the Sungkyunkwan University School of Medicine in Seoul, Korea. From 2023 to 2024, he worked as a postdoctoral AI/ML research fellow at Massachusetts General Hospital and Harvard Medical School. Since 2024, he has been an Assistant Professor at Seoul National University (SNU).

• B.S. Electrical and Computer Engineering, Seoul National University, Republic of Korea

• M.S. Electrical and Computer Engineering, Seoul National University, Republic of Korea

• Ph.D. Electrical and Computer Engineering, Korea Advanced Institute of Science and Technology, Republic of Korea

• Postdoctoral Research Fellow / Sep. 2019 to July 2020

• Kim Jaechul Graduate School of AI, KAIST, Republic of Korea

• Senior Research Engineer / Aug. 2020 to Dec. 2022

• AI Research Center, Samsung Medical Center, Republic of Korea

• Research Professor / Aug. 2021 to June 2023

• Department of Data Convergence and Future Medicine, School of Medicine, Sungkyunkwan University, Republic of Korea

• Postdoctoral Research Associate / Jan. 2023  to Aug. 2024

• Massachusetts General Hospital and Harvard Medical School, USA

• Assistant Professor / Sep. 2024 ~ Present

• School of Transdisciplinary Innovations and School of Medicine, Seoul National University, Republic of Korea

▪ Multimodal AI (ICCV, ECCV)

▪ Unsupervised Anomaly Detection AI (ESWA)

▪ Generative AI (RSNA)

▪ Causality/Biomarker Discovery AI (NeurIPS, RSNA)

▪ Confidence Quantification AI (ICLR)

▪ Debiasing AI (ICCV, Radiology AI)

▪ 3D/4D Reconstruction AI (CVPR)

▪ Natural Language AI (CHIL)

• Massachusetts General Hospital and Harvard Medical School, Boston, USA

• Mclean Hospital and Harvard Medical School, Boston, USA 

• Johns Hopkins Department of Biomedical Engineering, Seoul, South Korea 

• Samsung Electronics DS R&D Center, San Jose, California, USA 

• K-BioX Stanford University, California, USA

• Samsung Medical Center, Seoul, South Korea

• Seoul National University Hospital, Seoul, South Korea

• KAIST AI Research Institute, Daejeon & Seoul, South Korea

Advanced AI Analysis Equipment

• NVIDIA A100 

• NVIDIA A6000

IT/Network Equipment

• NAS