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

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 III

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.