Kenji Suzuki received his B.S. (Magna Cum Laude) and M.S. (Summa Cum Laude) degrees in engineering from Meijo University, Japan, in 1991 and 1993, respectively, and his Ph.D. degree (by Published Work) in engineering from Nagoya University, Japan, in 2001. From 1993 to 1997, he worked in the Research and Development Center at the Hitachi Medical Corporation as Researcher. He was engaged in research and development of intelligent medical imaging systems, including a digital angiography system, a digital radiography system, a computed tomography system, a magnetic resonance imaging system, and an ultrasound imaging system. From 1997 to 2001, he worked in the Department of Applied Information Science and Technology in the Faculty of Information Science and Technology at the Aichi Prefectural University, Japan, as a faculty member. In 2001, he joined the Kurt Rossmann Laboratories for Radiologic Image Research in the Department of Radiology, Division of the Biological Sciences at The University of Chicago, as Research Associate. He was promoted to Research Associate (Instructor) in 2003, and to Research Associate (Assistant Professor) in 2004. Since 2006, he has been Assistant Professor in the Department of Radiology. Since 2007, he has also been Assistant Professor in the Committee on Medical Physics and the University of Chicago Cancer Research Center.

Dr. Suzuki has been working on interdisciplinary research in medicine and computer science, with its primary focus on research on computer-aided diagnosis of lesions in the abdomen, the thorax, and the heart, and machine learning inspired by the human visual system for image processing and pattern recognition. The long-term goal of his research is to develop a computer that diagnoses diseases in medical images as an expert radiologist does to assist non-expert doctors make diagnoses. To approach his goal, he believes that development of sophisticated machine-learning and image-analysis techniques, their theoretical backups, and understanding of radiologists' decision-making process and the human visual system are essential. He has published more than 100 scientific papers (including 45 peer-reviewed journal papers) in the fields of computer-aided diagnosis, medical image analysis, machine learning, neural networks, computer vision, image processing, and pattern recognition. He is inventor/co-inventor on 25 patents (including approximately 10 granted patents). He has been serving as a referee for more than 15 journals in these fields, including IEEE Trans Medical Imaging, Medical Physics, IEEE Trans Biomedical Engineering, IEEE Trans Image Processing, and IEEE Trans Neural Networks. He has been serving as an Invited Associate Editor of Medical Physics, and an Editorial Board Member of The Open Biomedical Engineering Journal and The Open Artificial Intelligence Journal. He has received awards for his research, including a Paul C. Hodges Award from the Department of Radiology at The University of Chicago in 2002, a Certificate of Merit Award from the Radiological Society of North America (RSNA) in 2003, an RSNA Research Trainee Prize from the RSNA in 2004, a Young Investigator Award from the Cancer Research Foundation in 2005, and a Certificate of Merit Award from the RSNA in 2006. He also shared awards, including a Best Paper Award for Young Researchers from the Information Processing Society of Japan in 2002, and an Honorable Mention Poster Award at the SPIE International Symposium on Medical Imaging in 2006. His biography is included in published listings, including Marquis Who's Who in the World, Marquis Who's Who in Science and Engineering, Marquis Who's Who in Finance and Business, and Marquis Who's Who of Emerging Leaders. He has been a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) since 2004.

For more information, please go to his laboratory's home page at http://suzukilab.uchicago.edu/