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.
Keynote Speaker IV
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.
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