Toru Tamaki

Toru Tamaki is a seasoned professional with a strong educational background in the field of information engineering. He holds a Ph.D., M.S., and B.E. from Nagoya University, Japan, obtained in the years 1996, 1998, and 2001, consecutively. With a rich academic journey, he transitioned from being an assistant professor at Niigata University from 2001 to 2005 to an associate professor at Hiroshima University from 2005 to 2020, culminating in his current position as a professor at the prestigious Nagoya Institute of Technology in Japan.

His expertise lies in a wide array of research areas, including computer vision, medical image analysis, pattern recognition, image and video processing, machine learning, and deep learning. Toru has actively contributed to the academic community through various roles such as a workshop co-organizer at significant events like Subspace2009 at ICCV2009 and Subspace2010 at ACCV2010, as well as serving as an area chair at ICPR2012 and ICPR2014. Furthermore, he has made notable contributions as a Japanese translator for renowned books in the field of computer vision and statistical learning.

Throughout his career, Toru Tamaki has also leveraged his knowledge and experience to educate others. His online lecture on 'Computer vision basics: Graphical model and Bayesian inference' on Udemy has attracted over 12,000 students, showcasing his commitment to knowledge dissemination and education. Additionally, he has been an esteemed reviewer for esteemed conferences and journals such as CVPR, ECCV, IJCV, and PRL, highlighting his involvement and influence in shaping the academic discourse in his areas of expertise.