University of Toronto, Javed Mostafa 교수님의 세미나가 7월 20일에 진행될 예정입니다.
관심 있는 학생 여러분들의 많은 참석 바랍니다.
■일시: 2026. 7. 20 (월요일) 11:00 ~ 12:30
■장소: 반도체관 400102호
■주제: “AI and ML approaches for Improving Biomedicine and Healthcare”
■연사: Javed Mostafa 교수님 (University of Toronto)
Javed is a Professor and the Dean of the Faculty of Information. His research focuses on multimedia information retrieval, personalization and user modeling as well as cyberinfrastructure for research and learning. Professor Mostafa came to U of T in September 2023 from the University of North Carolina at Chapel Hill where he served as a Professor and the founding Director of an interdisciplinary informatics training program called the Carolina Health Informatics Program (CHIP) which oversaw collaboration among seven UNC academic units. Previously, at Indiana University, Bloomington, Professor Mostafa held the Victor H. Yngve Endowed Professorship, and he also served as an Associate Dean of Academics and an Associate Dean of Research. Professor Mostafa completed his PhD in information science at the University of Texas at Austin in 1994, with a focus on developing query models for multimedia information.
With more than 105 peer-reviewed publications of his own, Javed has served in editorial roles for several prestigious journals in the field. He was the editor-in-chief of the Journal of the Association for Information Science and Technology, an associate editor for the journal ACM Transactions on Information Systems and currently serves as an associate editor for the journal ACM Transactions on Internet Technology. At U of T he directs the Laboratory of Applied Informatics Research (https://lairhub.com/). He is also the co-founder of two U.S.-based companies: KeonaHealth and Cymantix.
■ABSTRACT
Major advances in AI are linked inseparably to biomedicine and healthcare. The use cases in the earliest AI experimental research initiatives investigated automated diagnosis of infections. In the current times, AI technologies have been deployed and evaluated across the full-length of biomedicine and healthcare pipeline-- starting with discovery and reaching to patient engagements and education. In this talk, the critical challenges associated with some of the primary areas in biomedicine and healthcare applications will be described, along with novel AI methods for tackling them. The areas to be discussed include hypotheses generation, diagnosis, treatments, care delivery, patient engagements, secondary analysis, and research evidence production. The talk will conclude with an overview of how AI can be effectively deployed for supporting and sustaining a learning health system.
■HOST: 고종환교수 (전자전기컴퓨터공학과)