뉴스 및 공지사항
- 관리자
- 2026.04.13
- 1
[세미나] [ISE/GSDS Colloquium] Apr 14 16:00 / E2-2 1501 / Computational Pathology: Eight Years of Lessons and Open Problems / Mun Yong Yi / Department of Industrial and Systems Engineering at KAIST
Dear Professors and Students,
The ISE/GSDS Colloquium will be held as follows:
# Date/Time: Tuesday, Apr 14, 2026, 16:00–17:00
# Venue: E2-2 1501
# Speaker: Mun Yong Yi
# Title: Computational Pathology: Eight Years of Lessons and Open Problems
- Zoom Link :
Meeting ID: 814 6048 5391
Abstract:
Computational pathology is an emerging field that is reshaping clinical practice through recent advances in artificial intelligence, computer vision, and medical imaging. Over the past eight years, in collaboration with Seegene Medical Foundation in Korea, we have developed and deployed several digital pathology solutions for real-world clinical use, particularly for the automatic detection and classification of colorectal and gastric cancers. In this talk, I will reflect on our development and deployment experience accumulated over this period. Based on these experiences, I will present ten key lessons and several open problems that may offer practical insights for researchers working on AI-based medical applications.
Bio:
Mun Y. Yi is a Professor in the Department of Industrial and Systems Engineering and the Graduate School of Data Science at KAIST. Prior to joining KAIST in 2009, he was on the faculty at the University of South Carolina, where he served as an Assistant Professor from 1998 to 2004 and as a tenured Associate Professor from 2005 to 2009. He received his Ph.D. in Information Systems from the University of Maryland, College Park. His research spans both the behavioral and technical dimensions of information technology, with particular interests in medical AI, human-AI interaction, recommender systems, and knowledge engineering. He currently serves as an Associate Editor of the International Journal of Human-Computer Studies.
