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Kenji Suzuki

Kenji Suzuki

Professor
Tokyo Institute of Technology
Japan

Biography

Kenji Suzuki, Ph.D. (by Published Work; Nagoya University) worked at Hitachi Medical Corporation, Japan, Aichi Prefectural University, Japan, as a faculty member. He joined Department of Radiology, University of Chicago, in 2001, and he was Assistant Professor in the department and Graduate Program in Medical Physics. In 2014, he joined Department of Electric and Computer Engineering and Medical Imaging Research Center, Illinois Institute of Technology, as Associate Professor. In 2017, he was jointly appointed in World Research Hub Initiative at Tokyo Institute of Technology as Full Professor (Specially Appointed). He published more than 320 papers (including 110 peer-reviewed papers in leading journals). His papers were cited more than 9,000 times by other researchers. He has an h-index of 42. He is inventor on 30 patents (including 13 granted patents), which were licensed to several companies and commercialized. He published 10 books and 22 book chapters, and edited 13 journal special issues. He was awarded/co-awarded more than 25 grants as PI including NIH R01 and ACS. He served as the Editor of a number of leading international journals, including Pattern Recognition and Medical Physics. He served as a referee for 80 international journals, an organizer of 30 international conferences, and a program committee member of 150 international conferences. He gave 95 invited talks and keynote speeches at international conferences and universities. His research was covered in 45 articles in international newspapers, magazines and journals by press and media. He received 25 awards, including 3 RSNA Certificate of Merit Awards, IEEE Outstanding Member Award, Cancer Research Foundation Young Investigator Award, Kurt Rossmann Award for Excellence in Teaching from Univ of Chicago, IEICE 2014 Best Journal Paper Award, Springer-Nature EANM Most Cited Journal Paper Award 2016, and Marquis Who’s Who 2017 Albert Nelson Marquis Lifetime Achievement Award.

Research Interest

Machine learning, deep learning, computer-aided diagnosis, medical image processing, medical image analysis, and artificial intelligence.