Invited Speakers of MICAD 2025

(Alphabetize by Last Name)

Assoc. Prof. Mingchen Gao

University at Buffalo, SUNY, United States

Mingchen Gao is an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo, State University of New York. She received her Ph.D. in Computer Science from Rutgers University in 2014 and subsequently completed postdoctoral research at the NIH Clinical Center from 2014 to 2017. Dr. Gao’s research focuses on the intersection of machine learning and healthcare, with particular emphasis on medical imaging analysis. Her research has been published in leading journals and conferences, including IEEE PAMI, IEEE TMI, Medical Image Analysis (MedIA), ICML, ICLR, NeurIPS, CVPR, ICCV, ECCV, MICCAI, and IPMI. Dr. Gao is a recipient of the FIMH Best Paper Award (2011), the UB SEAS Early Career Researcher of the Year Award (2022), and the NSF CAREER Award (2023).

Prof. Jin Tae Kwak

Korea University, Korea

Jin Tae Kwak received his Ph.D. in Computer Science from University of Illinois at Urbana-Champaign, USA in 2012. He earned his Masters of Science degree in Electrical and Computer Engineering from Purdue University, USA in 2007 and his Bachelors of Engineering degree in Electrical Engineering from Korea University, Korea in 2005.
In 2012, He joined Center for Interventional Oncology, Clinical Center, National Institutes of Health, USA as a Research Fellow. He served as a tenure-track faculty member in the department of Computer Science and Engineering at Sejong University from March 2016 to August 2020. He joined School of Electrical Engineering at Korea University in September 2020.
His research interests include multimodal medical imaging, digital and computational pathology, computer-aided diagnosis, radiology-pathology correlation, data mining, artificial intelligence, machine learning, and deep learning.