바이오메디컬소프트웨어학과

브리티시컬럼비아대학교 화공생명공학과에서 박사학위, 성균관대학교에서 학사 및 석사학위를 수여했다. AI를 적용한 지속가능 에너지 화학공정 설계 및 반응기 스케일업, 자동화, 전기화학 촉매 연구를 수행하고 있다. 공정 실험 및 시뮬레이션, 인공지능, 전기화학촉매, 실험실 자동화 연구를 포함한 에너지 및 환경 분야 스마트 공정 개발(SPEED) 연구실을 운영하고 있다. 브리티시컬럼비아대학교, 스위스 로잔공대(EPFL), 베이징이공대학, 성균관대학교 등과 유동층공정, AI 및 전기화학촉매 분야에서 공동연구를 수행중이며, 최근 3년간 Materials Today (2024), Chemical Engineering Journal (2024), Journal of Energy Chemistry (2024), Energy (2023) 등 상위 5% 논문 6편을 포함하여 20편을 작성하는 등 화학공정 및 전기화학촉매 분야의 연구를 진행하고 있으며, 현재는 바이오메디컬화학공학과 및 인공지능학과 겸무교수로 재직중이다.

Professor Jun Young Kim is an assistant professor in the Department of Biomedical-Chemical Engineering as well as Department of Artificial Intelligence at The Catholic University of Korea. Prof. Kim received his Ph.D at the University of British Columbia and his B.S. and M.S. at Sungkyunkwan University. His research interest is AI-aided sustainable energy process engineering, including process design and reactor scale-up, as well as automation and electrocatalysts. He leads the Smart Process for Energy & Environmental Development (SPEED) Lab, focusing on research areas such as process experimentation and simulation, artificial intelligence, electrochemical catalysts, and laboratory automation. Currently, he conducts collaborative research with the University of British Columbia, Beijing Institute of Technology, EPFL (Ecole Polytechnique Federale deLausanne) and Sungkyunkwan University in the fields of fluidized bed processes, AI, and electrochemical catalysis. In recent three years, he published 20 papers as a main author in the field of chemical processes and electrochemical catalysis in the last three years, including six top 5% papers in Materials Today (2024), Chemical Engineering Journal (2024), Journal of Energy Chemistry (2024), and Energy (2023).