KEYNOTE SPEAKERS

Prof. Keiji Yanai
The University of Electro-Communications, Japan

Keiji Yanai (Member, IEEE) received the B.Eng., M.Eng., and D.Eng. degrees from The University of Tokyo in 1995, 1997, and 2003, respectively. From 1997 to 2006, he was a Research Associate and an Associate Professor (till 2015) with the Department of Computer Science, The University of Electro-Communications, Tokyo, Japan. From November 2003 to September 2004, he was a Visiting Scholar with the Department of Computer Science, University of Arizona, USA. He is currently a Professor with the Department of Informatics, The University of Electro-Communications. His research interests include object recognition, deep learning, and Web multimedia mining.

Keynote Speaker II

Prof. Kenji Suzuki
Tokyo Institute of Technology, Japan

Kenji Suzuki, Ph.D. (Nagoya University) worked at Hitachi Medical Corp, Aichi Prefectural University, Japan, as a faculty member, in Department of Radiology, University of Chicago, as Assistant Professor, and Medical Imaging Research Center, Illinois Institute of Technology, as Associate Professor (Tenured). He is currently a Professor (Tenured) & Director of Biomedical Artificial Intelligence Research Unit in Institute of Innovative Research, Tokyo Institute of Technology, Japan. He published more than 350 papers (including 116 peer-reviewed journal papers). He has been actively researching on deep learning in medical imaging and AI-aided diagnosis in the past 25 years, especially his early deep-learning model was proposed in 1994. His papers were cited more than 13,000 times, and his h-index is 56. He is inventor on 38 patents (including ones of earliest deep-learning patents), which were licensed to several companies and commercialized. He published 15 books and edited 16 journal special issues. He has been awarded numerous grants including NIH, NEDO, and JST grants, totaling $17M. He serves as Editors of 34 leading international journals including Pattern Recognition. He chaired 114 international conferences. He received 23 awards, including 3 Best Paper Awards in leading journals. His research interests include Artificial intelligence, Deep learning, Machine learning, AI-aided system, Computer-aid diagnosis, Medical image analysis, Medical image processing, Data science.

Invited Speaker

Invited Speaker I

Prof. Chinthaka Premachandra, Shibaura Institute of Technology, Japan

Chinthaka Premachandra (Senior Member, IEEE) was born in Sri Lanka. He received the B.Sc. and M.Sc. degrees from Mie University, Tsu, Japan, in 2006 and 2008, respectively, and the Ph.D. degree from Nagoya University, Nagoya, Japan, in 2011. From 2012 to 2015, he was an Assistant Professor with the Department of Electrical Engineering, Faculty of Engineering, Tokyo University of Science, Tokyo, Japan. From 2016 to 2017, he was an Assistant Professor with the Department of Electronic Engineering, School of Engineering, Shibaura Institute of Technology, Tokyo, where he was an Associate Professor, from 2018 to 2022. In 2022, he was promoted to a Professor with the Department of Electronic Engineering, Graduate School of Engineering, Shibaura Institute of Technology, where he is currently the Manager of the Image Processing and Robotic Laboratory. His research interests include AI, UAV, image processing, audio processing, intelligent transport systems (ITS), and mobile robotics.
He is a member of IEEE, IEICE, Japan; SICE, Japan; RSJ, Japan; and SOFT, Japan. He received the IEEE SENSORS LETTERS Best Paper Award from the IEEE Sensors Council in 2022 and the IEEE Japan Medal from the IEEE Tokyo Section in 2022. He also received the FIT Best Paper Award and the FIT Young Researchers Award from IEICE and IPSJ, Japan, in 2009 and 2010, respectively. He has served as a steering committee member and an editor for many international conferences and journals. He is the Founding Chair of the International Conference on Image Processing and Robotics (ICIPRoB), which is technically co-sponsored by IEEE. He is currently serving as an Associate Editor for IEEE Robotics and Automation Letters (R-AL) and IEICE Transactions on Information and Systems.