Dr. Kenji Suzuki


Kenji Suzuki, Ph.D. (by Published Work; Nagoya University) worked in Research and Development Center, Hitachi Medical Corporation, Japan, from 1993 to 1997. From 1997 to 2001, he worked in Faculty of Information Science and Technology, Aichi Prefectural University, Japan, as a faculty member. In 2001, he joined Department of Radiology, the University of Chicago, as Research Associate, and then, promoted to Assistant Professor of Radiology, Medical Physics, and Cancer Research Center. Since 2014, he has been Associate Professor in Department of Electric and Computer Engineering and Medical Imaging Research Center, Illinois Institute of Technology. His research interests include computational intelligence and machine learning in biomedical imaging, computer-aided detection and diagnosis, and biomedical image processing and analysis. He published more than 240 papers (including 103 peer-reviewed journal papers). His papers were cited more than 6,500 times by other researchers. He has an h-index of 37. He is inventor on 30 patents (including 11 granted patents), which were licensed to several companies and commercialized. He published 10 books and 19 book chapters, and edited 10 journal special issues. He was awarded/co-awarded more than 44 grants including NIH R01 totaling 10.5 million dollars. He served as a grant reviewer for funding agencies, including National Science Foundation (NSF) and US Army Medical Research and Materiel Command (USAMRMC). He served as the Editor-in- Chief/Associate Editor of 33 leading international journals, including Medical Physics, Academic Radiology, and International Journal of Biomedical Imaging. He served as a referee for 70 international journals, an organizer of 18 international conferences, and a program committee member of 120 international conferences. He supervised more than 50 graduate/undergraduate students and 6 postdocs/computer scientists, and accepted 14 visiting professors in his laboratory from foreign countries, supported by a grant/scholarship from their governments/institutions. He received 33 awards for his research and teaching, including Paul Hodges Award, 3 Certificate of Merit Awards from RSNA, IEEE Outstanding Member Award from IEEE, Cancer Research Foundation Young Investigator Award, Kurt Rossmann Award for Excellence in Teaching from University of Chicago, and IEICE Best Paper Award.

Image-based neural network model inspired by human visual system in medical image processing and computer vision.

October 29, -

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