Committees of MICAD 2023

Conference Chairs (Alphabetize by Last Name)

Prof. Alejandro F Frangi

The University of Manchester, UK
IEEE Fellow, SPIE Fellow
Diamond Jubilee Chair in Computational Medicine;
                     Royal Academy of Engineering Chair in Emerging Technologies
Professor Frangi is Bicentennial Turing Chair in Computational Medicine at the University of Manchester, UK, with joint appointments at the Computer Science and Health Sciences Schools. He is also the Royal Academy of Engineering Chair in Emerging Technologies, focusing on Precision Computational Medicine for In Silico Trials of Medical Devices. He founded (2001) and directs the Centre for Computational Imaging and Simulation Technologies in Biomedicine. Prof Frangi has visiting positions at KU Leuven, the Cixi Institute of Biomedical Engineering, CNITECH Chinese Academy of Science (Ningbo), the Zhejiang University of Technology (Hangzhou), Shenzhen University (Shenzhen), and Beijing Institute of Technology (Beijing).

Prof. Yu-dong Zhang

University of Leicester, UK

IET Fellow, EAI Fellow, BCS Fellow，IEEE Senior Member

Prof. Yudong Zhang works at University of Leicester. His research interests include deep learning and medical image analysis. He is the Fellow of IET, Fellow of EAI, and Fellow of BCS. He is the Senior Member of IEEE and ACM. He is the Distinguished Speaker of ACM. He was 2019, 2021 & 2022 recipient of Clarivate Highly Cited Researcher. He has (co)authored over 400 peer-reviewed articles. There are more than 60 ESI Highly Cited Papers and 6 ESI Hot Papers in his (co)authored publications. His citation reached 29071 in Google Scholar (h-index 96). He is the editor of Neural Networks, IEEE TITS, IEEE TCSVT, IEEE JBHI, etc. He has conducted many successful industrial projects and academic grants from NIH, Royal Society, British Council, GCRF, EPSRC, MRC, BBSRC, Hope, and NSFC. He has served as (Co-)Chair for more than 60 international conferences (including more than 20 IEEE or ACM conferences). More than 70 news presses have reported his research outputs, such as Reuters, BBC, Telegraph, Mirror, Physics World, UK Today News, etc.

General Co-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. 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)

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.

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 is 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.

Technical Program Committee Chairs (Alphabetize by Last Name)

Prof. Shadi Albarqouni

Professor of Computational Medical Imaging Research at University of Bonn, Germany
AI Young Investigator Group Leader at Helmholtz AI
Senior Research Affiliate at TU Munich

Shadi Albarqouni is a Palestinian-German Professor of Computational Medical Imaging Research. He received his B.Sc. and M.Sc. in Electrical Engineering from the IU Gaza, Palestine, in 2005, and 2010, respectively. In 2012, he received the DAAD research grant to pursue his Ph.D. at the Chair for Computer Aided Medical Procedures (CAMP), Technical University of Munich (TUM), Germany. His AggNet paper, published at the Special Issue on Deep Learning at the IEEE Transaction on Medcial Imaging (IF: 10.048), was among the first ones on Medical Imaging with Deep Learning and has been featured as the top downloaded article for a couple of years at IEEEXplore.
Since Nov. 2020, Albarqouni has been appointed as an AI Young Investigator Group Leader at Helmholtz AI. The aim of Albarqouni’s Lab. is to develop innovative deep Federated Learning algorithms that can distill and share the knowledge among AI agents in a robust and privacy-preserved fashion. Since Jan. 2022, Albarqouni has been appointed as a W2 Professor of Computational Medical Imaging Research at the Faculty of Medicine, University of Bonn.
Albarqouni has more than 100 peer-reviewed publications in both Medical Imaging Computing and Computer Vision published in high impacted journals and top-tier conferences. He serves as a reviewer for many journals, e.g., IEEE TPAMI, MedIA, IEEE TMI, IEEE JBHI, IJCARS and Pattern Recognition, and top-tier conferences, e.g., ECCV, MICCAI, MIDL, BMVC, IPCAI, and ISBI among others. He is also an active member of MICCAI, BMVA, IEEE EMBS, IEEE CS, and ESR society. Recently, Albarqouni has been elected as a member for the European Lab for Learning and Intelligent Systems ( ELLIS), the Arab German Young Academy ( AGYA), and the Higher Council for Innovation and Excellence‎ in Diaspora ( HCIE). Since 2015, he has been serving as a PC member for a couple of MICCAI workshops, e.g., COMPAY, DART, DCL, FAIR among others. Since 2019, Albarqouni has been serving as an Area Chair in Advance Machine Learning Theory at MICCAI. Recently, he has been serving as a Program Co-Chair at MIDL'22 in Swizterland, and as an Organizing Committee Member at ISBI'22 in India, MICCAI'24 in Morocco.
His current research interests include Interpretable ML, Robustness, Uncertainty, and Federated Learning. He is also interested in Entrepreneurship and Startups for Innovative Medical Solutions with limited resources.

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.

Local Chair

William Wang, University of Leicester, United Kingdom

Local Co-Chair

Hunter Zhu, University of Leicester, United Kingdom

Technical Program Committees

Assoc. Prof. Heba Afify, Cairo University, Egypt

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. Albert Chung, Hong Kong University of Science and Technology, Hong Kong SAR, China

Dr. Sarada Prasad Dakua, Hamad General Hospital, Qatar

Prof. Jan Egger, Institute of Computer Graphics and Vision, Austria

Dr. Okyaz Eminaga, Stanford University, USA

Prof. Smain Femmam, University of Haute-Alsace France, France

Prof. Dagan Feng, University of Sydney, Australia

Prof. Yuzhu Guo, Beihang University, China

Asst. Prof. Stathis Hadjidemetriou, Cyprus International Institute of Management, Cyprus

Asst. Prof. Yuankai Huo, Vanderbilt University, USA

Asst. Prof. Minjeong Kim, University of North Carolina, United States

Dr. Haridimos Kondylakis, Foundation of Research & Technology-Hellas (FORTH), Greece

Prof. Erik Meijering, University of New South Wales, Australia

Mr. Mashood Mohammad Mohsan, Khalifa University, United Arab Emirates

Assoc. Prof. Yoshito Otake, Nara Institute of Science and Technology, Japan

Prof. Christoph Palm, Ostbayerische Technische Hochschule Regensburg (OTH Regensburg), Germany

Prof. Xiang Pan, Jiangnan University, China

Prof. Gemma Piella, Pompeu Fabra University, Spain

Assoc. Prof. Hongliang Ren, Chinese University of Hong Kong, Hong Kong SAR, China

Prof. Su RUAN, LITIS laboratory, University of Rouen, France

Dr. Mehdi Salimi, Kwantlen Polytechnic University, Canada

Dr. Xiao Jian Tan, TAR UMT, Malaysia

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

Assoc. Prof. Yang Song, University of New South Wales, Australia

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

Asst. Prof. Yao Sui, Peking University, China

Asst. Prof. Moti Freiman Technion, Israel Institute of Technology, Israel

Dr. Juan Miguel Valverde, University of Eastern Finland, Finland

Asst. Prof. Yanmei Tie, Harvard Medical School, USA

Dr. Jiangchang Xu, Shanghai Jiao Tong University (SJTU), China

Dr. Ts Faridah binti Yahya, UniKL Malaysian Institute of Information Technology, Malaysia

Dr. Guang Yang, National Heart & Lung Institute, Imperial College London, United Kingdom

Asst. Prof. Miaomiao Zhang, University of Virginia, United States

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

Asst. Prof. Chin-Chih Chang, Chung Hua University, Taiwan

Dr. Mohammadreza HoseinyFarahabady, University of Sydney, Austarlia

Dr. Ahmed Paridie, The University of Toledo, USA

Dr. Shakeel Ahmad Sheikh, University of Bielfeld, Germany

Dr. Mohd Farid bin Atan, Universiti Malaysia Sarawak, Malaysia

Dr. Jiaming Hu, Zhejiang University, China

Dr. Jiancai Huang, Central South University, China

Asst. Prof. Esteban Guerrero, University of Vaasa, Finland

Dr. Sabrina Ramnarine, King's College London, UK

Asst. Prof. Francesco Cauteruccio, Polytechnic University of Marche, Italy

If you are interested in joining the program committee team, please send your CV to [email protected] for review. Some email service providers have restrictions on sending emails, You can choose [email protected] as an alternative.

Committees of MICAD2022, please click.