Committees of MICAD2022
(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.
Prof. Yu-dong Zhang
University of Leicester, UK
IET Fellow, EAI Fellow, BCS Fellow，IEEE Senior Member
Prof. Yu-Dong Zhang received a Ph.D. degree in Signal and Information Processing from Southeast University in 2010. He worked as a postdoc from 2010 to 2012 with Columbia University, USA, and as an Assistant Research Scientist from 2012 to 2013 with the Research Foundation of Mental Hygiene (RFMH), USA. He served as a Full Professor from 2013 to 2017 with Nanjing Normal University. Now he serves as a professor at the School of Computing and Mathematical Sciences, University of Leicester, UK. He is the Fellow of IET, Fellow of EAI, and Fellow of BCS. He is the Senior Member of IEEE, IES, and ACM. He is the Distinguished Speaker of ACM. He was included in Most Cited Chinese Researchers (Computer Science) by Elsevier from 2014 to 2018. He was the 2019 & 2021 recipient of Highly Cited Researcher by Clarivate. He is the author of over 400 peer-reviewed articles, including more than 50 ESI Highly Cited Papers and 5 ESI Hot Papers. His citation reached 21143 in Google Scholar (h-index 81) and 12418 in Web of Science (h-index 61). He has conducted many successful industrial projects and academic grants from NIH, Royal Society, GCRF, EPSRC, MRC, Hope, British Council, and NSFC. He has given over 120 invited talks at international conferences, universities, and companies. He has served as (Co-)Chair for more than 60 international conferences and workshops. His research outputs have been reported by more than 50 news press, such as Reuters, Telegraph, Physics World, UK Today News, EurekAlert! Science News, India Times, Association of Optometrists (AOP) news, etc.
Asst. Prof. Ruidan Su
Shanghai Jiao Tong University (SJTU), China
IEEE Senior Member, MICCAI Member
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.
(Alphabetize by Last Name)
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 and Royal Academy of Engineering Chair in Emerging Technologies at the University of Leeds, Leeds, UK, with joint appointments at the School of Computing and the School of Medicine. He directs the CISTIB Center for Computational Imaging and Simulation Technologies in Biomedicine. He is Turing Fellow of the Alan Turing Institute. Prof. Frangi is the Scientific Director of the Leeds Centre for HealthTech Innovation and Director of Research and Innovation of the Leeds Institute for Data Analytics. He holds an Honorary Chair in KU Leuven in the Departments of Electrical Engineering and Cardiovascular Sciences.
Prof. Moi Hoon Yap
Manchester Metropolitan University, UK
Moi Hoon Yap is a Professor of Image and Vision Computing at The Manchester Metropolitan University, and holder of The Royal Society Industry Fellowship (2016-2018). She received her PhD in Computer Science from Loughborough University in 2009. After her PhD, she worked as Postdoctoral Research Assistant (April 09 - Oct 11) in the Centre for Visual Computing at the University of Bradford. She serves as an Associate Editor for Computer Methods and Programs in Biomedicine, and reviewers for IEEE transactions/journals (Image Processing, Multimedia, Cybernetics, biomedical health and informatics). Her research is funded by Royal Society, EU funding, Innovate UK, CRUK, EPSRC and industrial funding. Her research expertise is in computer vision, image/video processing on facial analysis and medical image analysis.
Program Committee Chairs
(Alphabetize by Last Name)
Prof. Ryuji Hamamoto (浜本 隆二)
Tokyo Medical and Dental University, Japan
Division Chief, National Cancer Center Research Institute, Japan
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).
Prof. Baiying Lei
Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China
IEEE Senior Member, MICCAI Member
Prof. Baiying Lei is currently with the Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China. She has coauthored more than 180 scientific articles, e.g., Medical Image Analysis, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Medical Imaging, and IEEE Transactions on Biomedical Engineering. Her current research interests include medical image analysis, machine learning, and pattern recognition. She received the M.Eng. degree in electronics science and technology from Zhejiang University, Hangzhou, China, in 2007, and the Ph.D. degree from Nanyang Technological University (NTU), Singapore, in 2013. She is a MICCAI member, AAAI member, SPIE member. She is a committee member of the Machine Learning Society of the Chinese Association of Artificial Intelligence (CAAI), and the Artificial Intelligence & Pattern Recognition Society of the China Computer Federation (CCF). She currently serves as the Associator Editor of IEEE Transactions on Medical Imaging (IEEE-TMI), IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS), editorial board member of Medical Image Analysis (MedIA), Neural Computing and Application (NCAA), Scientific Reports, Frontiers in Neuroinformatics, Frontiers in Aging Neuroscience, and Academic Editor of PLoS One.
Asst. Prof. 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.
Prof. Dr. 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
Joseph M. Reinhardt is the Roy J. Carver Chair of Biomedical Engineering at the University of Iowa. He received the BS degree from Carnegie Mellon University, the MS degree from Northeastern University, and the PhD degree from Penn State University, all in Electrical Engineering. Dr. Reinhardt worked for several years in industry as a radar systems engineer. He is currently Professor and Department Executive Officer (chair) of the Roy J. Carver Department of Biomedical Engineering. Dr. Reinhardt teaches courses in the areas of computer programming, biomedical instrumentation, and medical imaging. 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.
(Alphabetize by Last Name)
Asst. Prof. Xiaoxiao Li
The University of British Columbia, Canada
Dr. Li is an Assistant Professor (tenure-track) at the Department of Electrical and Computer Engineering (ECE) at the University of British Columbia (UBC) starting August 2021. Before joining UBC，Dr. Li was a Postdoc Research Fellow in the Computer Science Department at Princeton University. Dr. Li obtained her PhD degree from Yale University in 2020. During her PhD studies, she was awarded the Advanced Graduate Leadership Scholarship. Dr. Li is leading the Trusted and Efficient AI (TEA) Lab. Her groups’ research interests range across the interdisciplinary files of deep learning and biomedical data analysis, aiming to improve the trustworthiness of AI systems for healthcare. In the recent few years, Dr. Li has over 30 papers published in leading machine learning conferences and journals, including NeurIPS, ICML, ICLR, MICCAI, IPMI, BMVC, and Medical Image Analysis. Her work has been recognized with the OHBM Merit Abstract Award, the MLMI Best Paper Award, and the DART Best Paper Award. In addition, she has received travel awards from NeurIPS/ICML/MICCAI/IPMI.
Asst. Prof. Islem Rekik
Istanbul Technical University, Turkey
Islem Rekik received the Ph.D. degree in neuroimaging and computer sciences from The University of Edinburgh, in 2014. She was a Postdoctoral Research Scholar with the IDEA Lab, University of North Carolina, She is currently an Assistant Professor (Lecturer) with Istanbul Technical University and an Honorary Researcher with the School of Science and Engineering, University of Dundee. She is also the Director of the Brain And SIgnal Research & Analysis Laboratory. She is a Program Committee Member of leading international medical image analysis conferences and workshops, including MICCAI, IPMI, Machine Learning in Medical Imaging, Connectomics in NeuroImaging (CNI), and Deep Learning in Medical Imaging and an Area Chair of MICCAI 2019 and Medical Imaging with Deep Learning 2019 Conference. She has co-organized Predictive Intelligence in MEdicine and CNI workshops, in conjunction with MICCAI 2018. Her research works aim to infuse advanced computer vision and machine-learning methods into big neuroimaging, and signal data analysis for improving healthcare and wellbeing.
(Alphabetize by Last Name)
Asst. Prof. Thi Hoang Ngan Le
University of Arkansas, USA
Dr. Le is currently an assistant Professor in the Department of Computer Science & Computer Engineering at University of Arkansas. She was a research associate in the Department of Electrical and Computer Engineering (ECE) at Carnegie Mellon University (CMU) in 2018-2019. Her current research interests focus on Image Understanding, Video Understanding, Computer Vision, Robotics, Machine Learning, Deep Learning, Reinforcement Learning, Biomedical Imaging, SingleCell-RNA. Her publications appear in top conferences including CVPR, MICCAI, ICCV, SPIE, IJCV, ICIP etc, and premier journals including IJCV, JESA, TIP, PR, JDSP, TIFS, etc. She has co-authored 55+ journals, conference papers, and book chapters, 6+ patents and inventions. She co-organized the Deep Reinforcement Learning Tutorial for Medical Imaging at MICCAI 2018, Medical Image Learning with Less Labels and Imperfect Data workshop at MICCAI 2019, Precognition: Seeing through the Future at CVPR 2019. She has served as a reviewer for 10+ top-tier conferences and journals, including TPAMI, AAAI, CVPR, NIPS, ICCV, ECCV, MICCAI, TIP, PR, TAI, IVC, etc.
Asst. Prof. Duygu Sarikaya
Gazi University, Turkey
Board member of Women in MICCAI (WiM)
Dr. Duygu Sarikaya is currently an Assistant Professor at the Department of Computer Engineering at Gazi University. She received her MS and PhD from University at Buffalo, State University of New York, and her BS from TOBB University of Economics and Technology. She is a FULBRIGHT alumna. She was formerly a Post-doctoral Researcher at MediCIS, INSERM, Universite de Rennes 1 working on Connected Optimized Network & Data in Operating Rooms Project with multiple academic and industrial partners, funded by BPI France, a Project Coordinator and Researcher at ATLAS Program, Roswell Park Comprehensive Cancer Center, working in close collaboration with clinicians on Deep Blue Project, funded by the Roswell Alliance Foundation, and a Research Assistant at Vision and Perceptual Machines Lab on a National Institutes of Health (NIH) project in collaboration with Roswell Park Comprehensive Cancer Center. She has served as a board member of Women in MICCAI (WiM). Her research interests span defining the technologies of artificial intelligence-powered, context-aware healthcare applications. More specifically, she works on surgical vision and perception, surgical data science, and medical image computing.
Dr. Shuihua Wang
University of Leicester, United Kingdom
Dr. Shuihua Wang received the Ph.D. degree from Nanjing University. She worked as an assistant professor in Nanjing Normal University from 2013-2018 and also served in Loughborough University from 2018-2019.She is now working as a research associate at the University of Leicester. Her research interests focus on Machine learning, Deep learning, biomedical image processing. She has published over 30 papers in peer-reviewed international journals and conferences in these research areas. She was serving as a professional reviewer for many well-reputed journals and conferences including IEEE Transactions on Neural Networks and Learning Systems, Neuron Computing, Pattern recognition, scientific reports, and so on. She is currently serving as Guest Editor-in-Chief of Multimedia Systems and Applications, Associate editor of Journal of Alzheimer’s Disease and IEEE Access. She is a member of the IEEE.
Technical Program Committees
(Alphabetize by Last Name)
Prof. Zakaria Belhachmi, Université Haute-Alsace, France
Prof. Qiang (Shawn) Cheng, University of Kentucky, USA
Asst. Prof. 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
Prof. Dagan Feng, University of Sydney, Australia
Dr. Linlin Gao, Ningbo University, China
Prof. Juan Manuel Górriz, University of Granada, Spain
Prof. Yuzhu Guo, Beihang University, China
Asst. Prof. Yuankai Huo, Vanderbilt University, USA
Assoc. Prof. Jianming Liang, Arizona State University, USA
Assoc. Prof. Abbas Khosravi, Deakin University, Australia
Asst. Prof. Jérôme Lapuyade-Lahorgue, University of Rouen, LITIS, France
Asst. Prof. Mingxia Liu, University of North Carolina at Chapel Hill, USA
Asst. Prof. Cheng Lu, Case Western Reserve University, USA
Ms. Jiahong Ouyang, Stanford University, USAProf. Jianquan Ouyang Xiangtan University, China
Prof. Xiang Pan, Jiangnan University, China
Prof. Gemma Piella, Pompeu Fabra University, Spain
Prof. Su RUAN, LITIS laboratory, University of Rouen, France
Asst. Prof. MEHDI SALIMI, St. Francis Xavier University, Canada
Prof. Thomas Schultz, Institute of Computer Science II, University of Bonn, Germany
Asst. Prof. Yanmei Tie, Harvard Medical School, USA
Dr. Tatiana Tyukina, University of Leicester, United Kingdom
Dr. Rachel Sparks, King’s College London, United Kingdom
Assoc. Prof. Jichuan Xiong, Nanjing University of Science and Technology, China
Dr. Guang Yang, National Heart & Lung Institute, Imperial College London, United Kingdom
Dr. Qingyu Zhao, Stanford University, USA
Dr. Jun Zhuang, Indiana University-Purdue University at Indianapolis (IUPUI), USA
If you are interested in joining the program committee team, please send your CV to firstname.lastname@example.org for review. Some email service providers have restrictions on sending emails, You can choose email@example.com as an alternative.
Committees of MICAD2021, please click.