Keynote Speaker I
Prof. Wenbing Zhao
Cleveland State University, USA
Dr. Zhao is a Professor at the Department of Electrical Engineering and Computer Science, Cleveland State University. He got his BS and MS degrees from the Physics Department in Peking University. He earned his Ph.D. at University of California, Santa Barbara in 2002. He has over 250 peer-reviewed publications and the author of the research monograph titled “From Traditional Fault Tolerance to Blockchain.” Dr. Zhao’s research spans from dependable distributed systems, human centered smart systems, and engineering education. His research has been funded by the US NSF, the US Department of Energy, the US Department of Education, the US Department of Transportation, Ohio Bureau of Workers’ Compensation, Ohio Department of Higher Education, the Ohio Development Services Agency, and Woodruff Foundation. He has delivered more than 10 keynotes, tutorials, public talks and demonstrations in various conferences, industry and academic venues. Dr. Zhao is an associate editor for IEEE Access, Human-centric Computing and Information Sciences, MDPI Computers, and PeerJ Computer Science, and a member of the editorial board of several international journals, including Sensors, Applied System Innovation, and Internal Journal of Parallel, Emergent and Distributed Systems. He is currently an IEEE Senior Member and serves on the executive committee of the IEEE Cleveland Section.
Keynote Speaker II
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.
Keynote Speaker III
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.
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