Keynote & Invited Speakers

Keynote Speaker I


Prof. Kenji Suzuki
Institute of Integrated Research at Institute of Science Tokyo, Japan ( the merger between Tokyo Medical and Dental University and Tokyo Institute of Technology )

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 395 papers (including 125 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 16,000 times, and his h-index is 63. 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 27 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 Speakers

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.

Invited Speaker II

Senior Associate Professor Yoichi TOMIOKA, The University of Aizu, Japan

He received the B.E., M.E., and D.E. degrees from the Tokyo Institute of Technology, Tokyo, Japan, in 2005, 2006, and 2009, respectively. He was a Research Associate with the Tokyo Institute of Technology until 2009. He was an Assistant Professor with the Division of Advanced Electrical and Electronics Engineering, Tokyo University of Agriculture and Technology until 2015. He was an Associate Professor with the School of Computer Science and Engineering, The University of Aizu until 2018, where he has been a Senior Associate Professor since 2019. In recognition of his contributions to the research community, he was selected as an Outstanding TPC Member at the Design Automation Conference (DAC) 2025. His research interests include image processing, hardware acceleration, efficient and fault-tolerant AI systems, electrical design automation, and combinational algorithms.

Invited Speaker III

Associate Professor Hossain Md Shakhawat, Kochi University of Technology, Japan

Hossain Md Shakhawat is an Associate Professor at the School of Informatics, Kochi University of Technology (KUT), Japan, where he leads the AI for Medical Imaging (AIM) Laboratory. Dr. Hossain received his Ph.D. from Tokyo Institute of Technology, Japan, in collaboration with Memorial Sloan Kettering Cancer Center (MSK), USA. He subsequently worked as a Research Fellow at MSK and was offered a position as a Senior Researcher in Machine Learning for Medical Imaging at Oxford University, UK. He has developed a clinically validated HER2 grading system for breast cancer patients at MSK, which was recognized by the Association of Pathology Informatics (API), USA. His research focuses on developing clinically usable AI-powered solutions for medical image analysis to improve diagnostic accuracy and support clinical decision-making. Dr. Hossain is a member of IEEE and the Association of Pathology Informatics, USA.