Committees of MICAD2022

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Honorary Chairs (Alphabetize by Last Name)

Prof. James Duncan

Yale University, USA

IEEE Fellow, AIMBE Fellow, MICCAI Fellow

James S. Duncan is the Ebenezer K. Hunt Professor of Biomedical Engineering and a Professor of Radiology & Biomedical Engineering, Electrical Engineering and Statistics & Data Science at Yale University. Dr. Duncan received his B.S.E.E. with honors from Lafayette College (1973), and his M.S. (1975) and Ph.D. (1982) both in Electrical Engineering from the University of California, Los Angeles. Dr. Duncan has been a Professor of Diagnostic Radiology and Electrical Engineering at Yale University since 1983. He has been a Professor of Biomedical Engineering at Yale University since 2003, and the Ebenezer K. Hunt Professor of Biomedical Engineering at Yale University since 2007. He has served as the Acting Chair and is currently Director of Undergraduate Studies for Biomedical Engineering. Dr. Duncan’s research efforts have been in the areas of computer vision, image processing, and medical imaging, with an emphasis on biomedical image analysis and image-based machine learning. He has published over 280 peer-reviewed articles in these areas and has been the principal investigator on a number of peerreviewed grants from both the National Institutes of Health and the National Science Foundation over the past 30 years. He is a Life Fellow of the Institute of Electrical and Electronic Engineers (IEEE), and a Fellow of the American Institute for Medical and Biological Engineering (AIMBE) and of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society. In 2014 he was elected to the Connecticut Academy of Science & Engineering. He has served as co-Editor-in-Chief of Medical Image Analysis, as an Associate Editor of IEEE Transactions on Medical Imaging, and on the editorial boards of Pattern Analysis and Applications, the Journal of Mathematical Imaging and Vision, “Modeling in Physiology” of The American Physiological Society and the Proceedings of the IEEE. He is a past President of the MICCAI Society. In 2012, he was elected to the Council of Distinguished Investigators, Academy of Radiology Research and in 2017 received the “Enduring Impact Award” from the MICCAI Society.

Prof. Leo Joskowicz

The Hebrew University of Jerusalem, Israel
IEEE Fellow, ASME Fellow; MICCAI Fellow
President of the MICCAI Society -- Medical Image Processing and Computer Aided Interventions

Leo Joskowicz is a Professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem, Israel since 1995. He is the founder and director of the Computer-Aided Surgery and Medical Image Processing Laboratory (CASMIP Lab). Prof. Joskowicz is a Fellow of the IEEE, ASME, and MICCAI (Medical Image Processing and Computer Aided Intervention) Societies. He is the President of the MICCAI Society and was the Secretary General of the International Society of Computer Aided Orthopaedic Surgery (CAOS) and the International Society for Computer Assisted Surgery (ISCAS). He is the recipient of the 2010 Maurice E. Muller Award for Excellence in Computer Assisted Surgery by the International Society of Computer Aided Orthopaedic Surgery and the 2007 Kaye Innovation Award. He has published over 250 technical works including conference and journal papers, book chapters, and editorials and has 12 issued patents. He is on the Editorial Boards of six journals, including Medical Image Analysis, Int. J. of Computer Aided Surgery, Computer Aided Surgery, and Nature Scientific Reports and has served on numerous related program committees.

Conference Chairs (Alphabetize by Last Name)

Dr. Ruidan Su

Shanghai Jiao Tong University (SJTU), 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 was an assistant professor of Shanghai Advanced Research Institute, Chinese Academy of Sciences during 2015–2020. He is currently a research assistant professor with Department of Computer Sciences and Engineering, Shanghai Jiao Tong University.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.His field of science is artificial intelligence, system optimization, AI applications in medical image and finance.

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.

General Co-Chair

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).

Program Committee Chairs (Alphabetize by Last Name)

Prof. Ryuji Hamamoto (浜本 隆二)

Division Chief, National Cancer Center Research Institute, Japan
Professor, Tokyo Medical and Dental University
Representative Director, Japanese Association for Medical Artificial Intelligence (JMAI)

Dr. Ryuji Hamamoto has been involved in cancer research for more than 20 years since he started his career at the Institute of Medical Science, the University of Tokyo. He was appointed an assistant professor at the Institute of Medical Science, the University of Tokyo in 2001, and was an Honorary Visiting Fellow at the Department of Oncology, University of Cambridge from 2006-2007. He then returned to the Institute of Medical Science at the University of Tokyo, but from 2012 he conducted cancer research at the University of Chicago Medicine as an Associate Professor. In January 2016, he was appointed as a Division Chief of the National Cancer Center, where he has pioneered the development of cancer research using AI technology in Japan. Since April 2016, he has been a professor at the Tokyo Medical and Dental University Collaborative Graduate School, and since April 2017, he has been a team leader at the RIKEN Center for Advanced Intelligence Project, and since 2018, he has been the Representative Director of the Japan Society for Medical AI (JMAI).

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 Committees (Alphabetize by Last Name)

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Prof. Zakaria Belhachmi, Université Haute-Alsace, France

Prof. Qiang (Shawn) Cheng, University of Kentucky, USA

Dr. Hao Chen, The Hong Kong University of Science and Technology, Hong Kong SAR, China

Prof. Smain FEMMAM, IEEE senior member, University of Haute-Alsace France, France

Dr. Linlin Gao, Ningbo University, China

Prof. Yuzhu Guo, Beihang University, China

Dr. Yuankai Huo, Vanderbilt University, USA

Assoc Prof. Jianming Liang, Arizona State University, USA

Dr. Mingxia Liu, University of North Carolina at Chapel Hill, USA

Dr. Cheng Lu, Case Western Reserve University, USA

Ms. Jiahong Ouyang, Stanford University, USA

Prof. Xiang Pan, Jiangnan University, China

Prof. Gemma Piella, Pompeu Fabra University, Spain

Prof. Thomas Schultz, Institute of Computer Science II, University of Bonn, Germany

Dr. Rachel Sparks, King’s College London, United Kingdom

Dr. Jichuan Xiong, Nanjing University of Science and Technology, China

Dr. Qingyu Zhao, Stanford University, USA

Dr. Jun Zhuang, Indiana University-Purdue University at Indianapolis (IUPUI), USA

More information about Committees of MICAD2021, please click.