Dr. Ruidan Su
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China
Dr. Ruidan Su received his MSc in Software Engineering from Northeastern University, China in 2010, and his Ph.D degree in Computer Application Technology from Northeastern University, China in 2014. He is currently an Assistant Professor of Shanghai Advanced Research Institute, Chinese Academy of Sciences. Dr. Ruidan Su is an IEEE Senior Member. He has published 22 papers in referred journals, conference proceedings. He was the Founder & Editor-in-Chief of Journal of Computational Intelligence and Electronic Systems published by American Scientific Publisher from 2012-2016. He was an Associate Editor for the Journal of Granular Computing Published by Springer, an Associate Editor for the Journal of Intelligent & Fuzzy Systems published by IOS Press, a Review Board Member for Applied Intelligence.
Prof. Yu-dong Zhang
University of Leicester, United Kingdom
Prof. Yu-Dong Zhang received his PhD degree from Southeast University in 2010. He worked as a postdoc from 2010 to 2012 in Columbia University, USA, and as an assistant research scientist from 2012 to 2013 at Research Foundation of Mental Hygiene (RFMH), USA. He served as a full professor from 2013 to 2017 in Nanjing Normal University, where he was the director and founder of Advanced Medical Image Processing Group in NJNU. Now he serves as Professor in Department of Informatics, University of Leicester, UK. He was included in “Most Cited Chinese researchers (Computer Science)” by Elsevier from 2014 to 2018. He was the 2019 recipient of “Highly Cited Researcher” by Web of Science. He won “Emerald Citation of Excellence 2017” and “MDPI Top 10 Most Cited Papers 2015”. He was included in "Top Scientist" in Guide2Research. He published over 160 papers, including 16 “ESI Highly Cited Papers”, and 2 “ESI Hot Papers”. His citation reached 10096 in Google Scholar, and 5362 in Web of Science. He is the fellow of IET (FIET), and the senior members of IEEE and ACM. He is the editor of Scientific Reports, IEEE Transactions on Circuits and Systems for Video Technology, etc. He served as the (leading) guest editor of Information Fusion, Neural Networks, IEEE Transactions on Intelligent Transportation Systems, etc. He has conducted many successful industrial projects and academic grants from NSFC, NIH, Royal Society, and British Council.
Prof. Alejandro F Frangi
University of Leeds, UK
IEEE Fellow, SPIE Fellow
Diamond Jubilee Chair in Computational Medicine;
Royal Academy of Engineering Chair in Emerging Technologies
Professor Frangi is Diamond Jubilee Chair in Computational Medicine at the University of Leeds, Leeds, UK, with joint appointments at the School of Computing and the School of Medicine. He leads the CISTIB Center for Computational Imaging and Simulation Technologies in Biomedicine. He has been awarded a Royal Academy of Engineering Chair in Emerging Technologies (2019-2029).
Prof. Joseph M. Reinhardt
The University of Iowa, IA, USA
IEEE Fellow, AIMBE Fellow,
Image Analysis Group Leader Iowa Institute for Biomedical Imaging
Co-Founder, VIDA Diagnostics, Inc., Iowa City, IA
Dr. Reinhardt is a fellow of the Institute of Electrical and Electronic Engineers (IEEE) and a fellow of the American Institute of Medical and Biological Engineering (AIMBE). His research interests are in the area of medical image processing, with a special emphasis on pulmonary imaging. Dr. Reinhardt has received research support from the National Institutes of Health, National Science Foundation, the Roy J. Carver Charitable Trust, and the Whitaker Foundation. Dr. Reinhardt, together with colleagues from The University of Iowa, founded VIDA Diagnostics, an Iowa-based medical imaging software company that focuses on computer-aided diagnosis and image-guided interventions for lung disease.
Dr. Han Liu
Shenzhen University, China
Dr.Liu is currently a Research Associate in Big Data Institute of Shenzhen University, China. He has previously been a Research Associate in the School of Computer Science and Informatics at the Cardiff University and the School of Computing at the University of Portsmouth. He received a BSc in Computing from University of Portsmouth in 2011, an MSc in Software Engineering from University of Southampton in 2012, and a PhD in Machine Learning from University of Portsmouth in 2015. He has published two research monographs in Springer and over 60 papers in areas such as data mining, machine learning and intelligent systems.
Technical Program Committee：
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Prof. Smain FEMMAM, IEEE senior member, University of Haute-Alsace France, France
Dr. Vinesh Sukumar, University of Idaho, United States
Dr. Na Ma, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China
Dr. Sivarama Krishnan Rajaraman, Lister Hill National Center for Biomedical Communications (LHNCBC), National Library of Medicine (NLM), National Institutes of Health (NIH), India
Prof. Sourav Dhar, Sikkim Manipal University, India
Prof. Zakaria Belhachmi, Université Haute-Alsace, France
Dr. Mahsa Mohaghegh, Auckland University of Technology, New Zealand
DR. GUNASEKAR THANGARASU, Linton University College, Malaysia
Dr. Francesco Rundo, STMicroelectronics s.r.l., Catania, Italy
Prof. Su RUAN, LITIS laboratory, University of Rouen, France
Prof. HUANG Zhiwei, National University of Singapore, Singapore
Dr. Rachel Sparks, King’s College London, United Kingdom
Dr. Luca Parisi, Coventry University, United Kingdom
Prof. Yuzhu Guo, Beihang University, China
Dr. Linlin Gao, Ningbo University, China
Dr. Yuyao Zhang, ShanghaiTech University, China
Prof. Xiang Pan, Jiangnan University, China