Summary
Toru Tamaki is a professor of information engineering at Nagoya Institute of Technology with over two decades of research experience in computer vision, medical image analysis, pattern recognition, and machine learning. He earned his B.E., M.S., and Ph.D. from Nagoya University and progressed through academic roles at Niigata and Hiroshima Universities, plus a visiting researcher stint in Paris. Tamaki has organized and chaired major conference workshops and sessions (ICCV, ACCV, ICPR) and serves as a reviewer for top venues like CVPR and IJCV. He translated foundational textbooks into Japanese and created a popular Udemy course on graphical models and Bayesian inference with over 12,000 students, reflecting a commitment to education and knowledge dissemination. Known for bridging theoretical methods and practical image/video processing, he combines rigorous scholarship with hands-on teaching that reaches an international audience.
12 years of coding experience
21 years of employment as a software developer
Ph.D, Information Engineering, Ph.D, Information Engineering at Nagoya University
English, Japanese, French