Prof. Kenji Suzuki
Director, BioMedical Artificial Intelligence Research Unit (BMAI), Institute of Innovative Research (IIR)
School of Engineering Tokyo Institute of Technology, Japan
Kenji Suzuki, Ph.D. (Nagoya University) worked at Hitachi Medical Corp, Aichi Prefectural University, Japan, as a faculty member, in Department of Radiology, University of Chicago, as Assistant Professor, and Medical Imaging Research Center, Illinois Institute of Technology, as Associate Professor (Tenured). He is currently a Professor (Tenured) at Institute of Innovative Research, Tokyo Institute of Technology, Japan. He published more than 350 papers (including 116 peer-reviewed journal papers). He has been actively researching on deep learning in medical imaging and AI-aided diagnosis in the past 25 years, especially his early deep-learning model was proposed in 1994. His papers were cited more than 13,000 times, and his h-index is 55. He is inventor on 38 patents (including one of the earliest deep-learning patents), which were licensed to several companies and commercialized. He published 15 books and edited 16 journal special issues. He has been awarded numerous grants including NIH, NEDO, and JST grants, totaling $17M. He serves as Editors of 34 leading international journals including Pattern Recognition. He chaired 114 international conferences. He received 23 awards, including 3 Best Paper Awards in leading journals.
Prof. Zhisheng Huang
Free University (VU), Amsterdam, The Netherlands
EiC of Journal of Artificial Intelligence for Medical Sciences
Professor Zhisheng Huang is a tenured senior researcher at the Department of Artificial Intelligence of VU University Amsterdam, the Netherlands, and a full professor at the School of Computer Science and Engineering of Wuhan University of Science and Technology, China. Prof. Huang obtained a doctorate degree in computer science and logic at the University of Amsterdam in 1994. He has published more than 200 papers, and more than 9 books in Artificial Intelligence, logics, and multimedia. He received the best paper award for the paper entitled “Feasibility Estimation for Clinical Trials” at the 2014 International Conference on Health Informatics (HEALTHINF/BIOSTEC).
Prof. Hongmin Cai
South China University of Technology, China
Dr. Hongmin Cai is a Professor in School of Computer Science and Engineering, South China University of Technology. He is a Senior Member of IEEE, and a Senior Member of China Computer Federation (CCF). He is chair of the conference ICBBB 2021/2022, and serves as editorial members for several journals. He received bachelor and master’s degree from Harbin Institute of Technology in 2001 and 2003, respectively. He got Ph.D from University of Hong Kong in 2007. He was a research fellow at the Center of Bioinformatics at Harvard University, and University of Pennsylvania. In 2012, he was associate Professor of School of Computer Science and Technology, South China University of Technology. In 2014, he was awarded Outstanding Youth Teacher in Guangdong Province. He was promoted to be full professor in 2016. He was a Senior Guest Professor at Kyoto University, Japan. He has principled and co-principled more than 10 fundings from NSF, Guangdong Province and other sources. He has achieved a series of innovative applications in medical imaging and genomics data analysis and made full coverage of famous publications in three fields: artificial intelligence, medical imaging, and bioinformatics. Over 100 research papers have been published with over 50 paper been the first/corresponding author, including IEEE T-PAMI, IEEE T-CYB, IEEE T-IP, IEEE T-MI, Bioinformatics, Briefings in Bioinformatics. His research interests include artificial intelligence, biomedical image processing and bioinformatics.