Keynote Speakers

Keynote Speaker I

Prof. Chia-Feng Juang (IEEE Fellow)
Distinguished Professor, Department of Electrical Engineering, National Chung Hsing University, Taiwan

Chia-Feng Juang received the B.S. and Ph.D. degrees in Control Engineering from the National Chiao-Tung University, Hsinchu, Taiwan, in 1993 and 1997, respectively. Since 2001, he has been with the Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan, where he became a Full Professor in 2007 and has been a Distinguished Professor since 2009. He served as the Chapter Chair of IEEE Computational Intelligence, Taipei Chapter, in 2017-2018, during which the chapter won the Outstanding Chapter Award from IEEE Taipei Session. Dr. Juang has authored or coauthored over 110 journal papers (including over 65 IEEE journal papers), ten book chapters, and over 150 conference papers. His current research interests include computational intelligence, intelligent control, computer vision, intelligent robots, and AI-aided medical diagnosis.
Dr. Juang was the receipt of the Outstanding Automatic Control Engineering Award from Chinese Automatic Control Society (CACS), Taiwan, in 2014; the Outstanding Electrical Engineering Professor Award from Chinese Institute of Electrical Engineering, Taiwan, in 2019; and the Outstanding Research Award from Ministry of Science and Technology, Taiwan, in 2021. He was elevated to CACS Fellow in 2016, IEEE Fellow in 2019, and International Fuzzy Systems Association (IFSA) Fellow in 2023. He was an IEEE Computational Intelligence Society Distinguished Lecture during 2020-2023. He is currently an Associate Editor for IEEE TRANSACTIONS ON FUZZY SYSTEMS and Asian Journal of Control and an Area Editor for International Journal of Fuzzy Systems.

Keynote Speaker II


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

Dr. Keiji Yanai is a Professor in the Department of Informatics at the University of Electro-Communications, Tokyo, Japan. His research interests include object recognition, web multimedia processing, social media mining, and food-related multimedia computing. Notably, he has been conducting research on food image recognition since 2008 and developed one of the most prominent food image datasets, UEC-FOOD 100/256. He has played key roles in organizing major conferences and workshops on the multimedia field. He served as a General Co-Chair for IEEE MIPR 2021, ACM Multimedia Asia 2022, and MMM 2025, as well as a Technical Program Co-Chair for ACM ICMR 2018. He has also co-organized the workshop series MADiMa (International Workshop on Multimedia Assisted Dietary Management) and has been an active Technical Program Committee member and reviewer for leading conferences and journals in the fields of multimedia, computer vision, and machine learning.
 

Keynote Speaker III


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 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.