Keynote Speakers

Keynote Speaker I

Prof. Gaurav Sharma (IEEE Fellow, SPIE fellow)
University of Rochester, USA

Gaurav Sharma is with the University of Rochester, where he is a Professor in the Department of Electrical and Computer Engineering , Department of Computer Science , and Department of Biostatistics and Computational Biology. He is also a Distinguished Researcher in Center of Excellence in Data Science (CoE) at the Goergen Institute for Data Science . From 2008-2010, he served as the Director for the Center for Emerging and Innovative Sciences (CEIS), a New York state supported center for promoting joint university-industry research and technology development, which is housed at the University of Rochester. From 1996 through 2003, he was with Xerox Research and Technology in Webster, NY first as a member of research and technology staff and then as a Principal Scientist and Project Leader. He received the Ph.D. in Electrical and Computer Engineering from North Carolina State University, Raleigh, NC, and masters degrees in Applied Mathematics from NCSU and in Electrical Communication Engineering from the Indian Institute of Science, Bangalore, India. He received his bachelor of engineering degree in Electronics and Communication Engineering from Indian Institute of Technology, Roorkee (formerly, Univ. of Roorkee).

Dr. Sharma is a fellow of the IEEE, a fellow of SPIE -- the international society for optics and photonics, and a fellow of the Society for Imaging Science and Technology (IS&T). He is also an elected member of Sigma Xi, the scientific research society and the Phi Kappa Phi and Pi Mu Epsilon honor societies. Dr. Sharma is a Member-at-Large on IEEE Signal Processing Society Board of Governors. He was a 2020-21 Distiguished Lecturer of the IEEE Signal Processing Society and has previously served as an SPIE Visiting Lecturer . Dr. Sharma served as the Editor-in-Chief for the IEEE Transactions on Image Processing from 2018-2020 and as the Editor-in-Chief for the Journal of Electronic Imaging from 2011 through 2015. Dr. Sharma is a member of the Editorial Board of the Proceedings of the IEEE and has previously served and as an associate editor for the Journal of Electronic Imaging, for the IEEE Transactions on Information Forensics and Security and for the IEEE Transactions on Image Processing. He is the editor of the "Digital Color Imaging Handbook" published by CRC press. Dr. Sharma served as the 2010-2011 chair for the Image, Video, and Multi-dimensional Signal Processing Technical Committee, of the IEEE Signal Processing Society and as the 2007 Chair of the IEEE Rochester Section. He is also a past member of the IEEE Spectrum Editorial Advisory Board, the Information Forensics and Security Technical Committee , the Multimedia-Signal Processing Technical Committee of the IEEE SPS, and of the Industry DSP Technology Standing Committee, of the IEEE Signal Processing Society. He was the Chair and Co-Chair, respectively, for the 2013 and 2012 IS&T/SPIE Electronic Imaging (EI) Symposia and Technical Program Co-Chair for the 2012 and 2016 editions of the IEEE International Conference on Image Processing (ICIP). Dr. Sharma is a member of the IEEE Signal Processing and Communications Societies of the IEEE. He serves on the IEEE Publication Services Product Board (PSPB) and is the current chair of the IEEE PSPB Strategic Planning Committee. From 2015 through 2017 he served as the Treasurer for the IEEE PSPB and in 2017 and 2018 he served as the Chair of the IEEE Conference Publications Committee (CPC). In 2015 and 2016, he served on the IEEE Signal Processing Society's Conferences Board and its Executive subcommittee.

 

Keynote Speaker II

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

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 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 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.

  

Assistant Professor Dr. Jiaqing Liu , Osaka University, Japan

Jiaqing Liu received the B.E. degree in 2016 from Northeastern University, China, the M.E. degree in 2018, and the D.E. degree in 2021, both from Ritsumeikan University, Kyoto, Japan. From 2020 to 2021, he was a JSPS Research Fellow for Young Scientists. From October 2021 to March 2022, he was a Specially Appointed Assistant Professor with the Department of Intelligent Media, ISIR, Osaka University, Osaka, Japan. He is currently an Assistant Professor with the College of Information Science and Engineering, Osaka University, Osaka, Japan. His research interests include computer vision, medical engineering, and deep learning.