Keynote Speakers

Keynote Speaker I

Prof. Seiichi Ozawa
Center for Mathematical and Data Sciences,
Kobe University, Japan

Seiichi Ozawa received the B.E. and M.E. degrees in instrumentation engineering from Kobe University in 1987 and 1989, respectively. In 1998, he received his Dr. Eng. in computer science from Kobe University. He is currently the deputy director of Center for Mathematical and Data Sciences and a full professor with the Department of Electrical and Electronic Engineering, Graduate School of Engineering, Kobe University, Japan. He was a visiting researcher at Arizona State University in 2005. His current research interests are neural networks, machine learning, online learning, pattern recognition, big data analytics especially in cybersecurity, SNS and smart agriculture. He published 141 journal and refereed conference papers, and 9 book chapters/monographs. He is currently an associate editor of IEEE Trans. on Cybernetics, Evolving Systems Journal, Pattern Analysis and Applications Journal, and he was an associated IEEE Trans. on Neural Networks and Learning Systems for 6 years. Currently, he is a Pro Tempore Vice-President for Public Relations of International Neural Network Society (INNS), a vice-president for finance of Asia Pacific Neural Network Society (APNNS), and a special board of governor of Japan Neural Network Society (JNNS). He is a member of Neural Networks TC, Data Mining and Big Data Analytics TC, and Smart World TC of IEEE CI Society. He is serving as a general chair of INNS Conference on Big Data and Deep Learning 2018, Program Committee Chair of International Conference on Neural Information Processing 2018, Workshop Chair of 2018 IEEE Smart World Congress, and Program Committee Members of IJCNN 2018, INNS 2018, EAIS 2018, etc.


Keynote Speaker II

Prof. Wenbing Zhao
Cleveland State University, USA

Wenbing Zhao received his Ph.D. in Electrical and Computer Engineering at University of California, Santa Barbara, in 2002. Dr. Zhao has a Bachelor of Science degree in Physics in 1990, and a Master of Science degree in Physics in 1993, both at Peking University, Beijing, China. Dr. Zhao also received a Master of Science degree in Electrical and Computer Engineering in 1998 at University of California, Santa Barbara. Dr. Zhao joined Cleveland State University (CSU) faculty in 2004 and is currently a Professor in the Department of Electrical Engineering and Computer Science (EECS) at CSU. Dr. Zhao published over 200 peer-reviewed papers in the area of distributed systems (three of them won the best paper award), smart and connected health, computer vision, machine learning, physics, and education. Dr. Zhao’s research is supported in part by the US National Science Foundation, the US Department of Energy, the US Department of Transportation, Ohio State Bureau of Workers’ Compensation, Ohio Department of Higher Education, and by Cleveland State University. Dr. Zhao is currently serving on the organizing committee and the technical program committee for numerous international conferences. He is an Associate Editor for IEEE Access and for MDPI Computers. Dr. Zhao is a senior member of IEEE.


Keynote Speaker III

Prof. Kenji Suzuki
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) & Director of Biomedical Artificial Intelligence Research Unit in 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 56. He is inventor on 38 patents (including ones of 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. His research interests include Artificial intelligence, Deep learning, Machine learning, AI-aided system, Computer-aid diagnosis, Medical image analysis, Medical image processing, Data science.







Join AICCC 2024!

Submission Method

Electronic Submission System (PDF format)


1. Full paper (Click)
2. Abstract (Click)

Supported by


Media Partner

Contact Method

Ms. Jassica Yao

AICCC 2024 conference secretary