Prof. Erik Meijering
University of New South Wales, Australia,IEEE Fellow
Erik Meijering is a Professor of Biomedical Image Computing in the School of Computer Science and Engineering (CSE), University of New SouthWales (UNSW), Sydney, Australia. His research interests are in Computer Vision and Artificial Intelligence for Quantitative Biomedical Image Analysis, on which he has published more than 160 peer-reviewed papers. He received his MSc degree in Electrical Engineering from Delft University of Technology (1996) and his PhD degree in Medical Image Analysis from Utrecht University (2000), both in the Netherlands. Before moving to UNSW (in 2019), he was a Postdoctoral Fellow (2000-2002) at the Swiss Federal Institute of Technology in Lausanne, Switzerland, and an Assistant Professor (2002-2008) and later Associate Professor (2008-2019) at Erasmus University Medical Center in the Netherlands. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and served on the IEEE SPS Technical Committee on Bio Imaging and Signal Processing (BISP), the IEEE EMBS Technical Committee on Biomedical Imaging and Image Processing (BIIP), and the cross-Society IEEE Life Sciences Technical Community (LSTC). He also was/is an Associate Editor for the IEEE Transactions on Medical Imaging (since 2004), the International Journal on Biomedical Imaging (2006-2009), the IEEE Transactions on Image Processing (2008-2011), and Biological Imaging (since 2020), has co-edited various journal special issues and co-organized conferences in the field, notably the IEEE International Symposium on Biomedical Imaging (ISBI) and the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), and served/serves on a great variety of other international conference, advisory, and review boards.
Prof. Pier Paolo Piccaluga
School of Medicine, Bologna University, Italy
Pier Paolo Piccaluga, MD, Ph.D. is currently an Associate Professor of Pathology at the Department of Experimental, Diagnostic and Specialty Medicine, Bologna University School of Medicine—Institute of Hematology and Medical Oncology, and executive physician at The Biobank of Research, IRCCS S. Orsola-Malpighi Hospital. In 2018, he was appointed to teaching posts at the Queen Mary University of London and Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya. He is the author of several international publications in journals such as Nature Medicine, Journal of Clinical Investigation, Journal of Experimental Medicine, Journal of Clinical Oncology, Blood, Lancet Oncology, and Lancet Infectious Diseases. Dr. Piccaluga is ranked a Top Italian Scientist (TIS) by VIA-Academy.
Prof. Yao Lu
Sun Yat-sen University, China
Yao Lu, Ph.D., professor of School of Computer Science and engineering, and director of the Institute of Scientific Computing at Sun Yat-sen University, was selected as a national high-level talent program and "Yixian Scholar" of Sun Yat-sen University. At present, he is PI of South China State Key Laboratory of Oncology, the President of Guangdong High Performance Computing Society. His research interest is in the field of medical image analysis, medical big data analysis and machine learning. He was rewarded research fund from Susan Komen Foundation of Breast Cancer Foundation, key Tianyuan grant of National Natural Science Foundation, Key R&D National Cooperation Project of the Ministry of Science and Technology, Key R&D Project of the Ministry of Science and Technology, Frontier and Technology Innovation major project of Guangdong Province, and Cultivation grant of Sci&Tech Foundation Project of Ministry of Education, etc. He won the second prize of Science and Technology Progress of Guangdong Province as the first awardee, participated in the publication of an international organization standard for artificial intelligence and three national industry standards for medical AI devices, published more than 100 academic papers, and transferred six invention patents.
Prof. Shaofu Lin
Beijing University of Technology, China
Shaofu Lin is a professor from Faculty of Information Technology, Beijing University of Technology (BJUT), with a Ph.D. degree in mapping & GIS from the Institute of Remote Sensing and GIS, Peking University. His research interests include spatial-temporal bigdata, health data fusion & intelligence, blockchain and data governance. He has experience on the research, construction and management of informatization, e-government, smart city in Hainan Province and Beijing, China. He has ever served as the executive director of Beijing Institute of Smart City in BJUT. He has a distinguished membership of China Computer Federation (CCF) and a senior membership of Chinese Institute of Electronics (CIE). He serves as the executive director of the Disability Statistics Branch of National Statistical Society of China, the executive committee member of the Rehabilitation Engineering and Auxiliary Technology Professional Committee of the China Disabled Persons Rehabilitation Association, and vice president of Beijing Information and Telecommunication Association. He is an editorial board member of Journal of Artificial Intelligence for Medical Sciences. He has ever participated in the activities of anti-SARS and the Beijing Olympic Games. He has presided over 1 project of 863 Plan, 3 projects of Beijing Science and Technology Plan and more than 30 related research projects of the topics such as smart venues for 2022 Beijing Winter Olympic Games, AI for mental health and etc. He has won 2 provincial and ministerial first-level prizes, 2 second-level prizes and 1 third-level prize. He has published more than 80 papers on international academic journals, conferences and Chinese core journals.
2024 5th International Symposium on Artificial Intelligence for Medical Sciences(ISAIMS 2024) http://www.isaims.org/