Kazunori Okada has broad research interests in the areas of intelligent computing: computer vision, pattern recognition, machine learning, artificial intelligence, and data mining. He has been active in the research fields of medical image analysis, statistical data analysis, cognitive vision, and face recognition. His earlier work on face recognition has produced a winning system in the well-known FERET competition, setting the industry standard. His recent work on lung tumor segmentation and detection in chest CT scans has resulted in a number of US, German, Chinese, and Japanese patents. He has received the Ph.D. and M.S. degrees in computer science from University of Southern California, the M.Phil. degree in human informatics, and the B.Eng. degree in mechanical engineering both from Nagoya University in Japan. He serves currently as an Assistant Professor of computer science at San Francisco State University and leads the laboratory for biomedical data analysis. Prior to his academic appointment, he worked as a Research Scientist at Siemens Corporate Research in Princeton, NJ, USA. He is a Member of IEEE, ACM, SPIE, and MICCAI.
Biography Updated on 1 November 2011