Interactive Intelligent Computing
Dr. Okada (http://organic.usc.edu:8376/~kazunori) has been active in the medical image analysis, computer vision, machine learning and other related fields. 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 pending patents. He is also interested in developing basic technology for representing and comparing heterogeneous data towards bioinformatics and data mining applications. He has received the Ph.D. degree in Computer Science from University of Southern California, and the M.Phil. degree in Human Informatics and the B.Eng. degree in Mechanical Engineering both from Nagoya University in Japan. Prior to his SFSU appointment, he was a research scientist at Siemens Corporate Research in Princeton, NJ.