IWIP 2024 Keynote Speakers as below:

Prof. Aijun An, York University, Canada

Biography: Aijun An Department of Electrical Engineering and Computer Science, York University, Toronto, ON M3J 1P3, Canada (aan@cse.yorku.ca). Dr. An received a Ph.D. degree in computer science from the University of Regina, Regina, SK, Canada. She is a Professor with the Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada. She has authored and coauthored extensively in various well-respected journals and conferences on data mining, databases, machine learning, and NLP.

Prof. Ning Zhong, Maebashi Institute of Technology, Japan

Biography: Ning Zhong obtained his Ph.D. from the University of Tokyo. He currently holds positions as the Co-director & Co-chairman of the Web Intelligence Consortium (WIC), CEO & Chief Scientist of the Web Intelligence Lab, Professor Emeritus/Visiting Professor, and previously served as a professor in the Department of Life Science and Informatics at Maebashi Institute of Technology, Japan. Prof. Zhong is a foreign fellow of the Engineering Academy of Japan (EAJ).
Prof. Zhong's present research interests include Web Intelligence (WI), Brain Informatics (BI), Data Mining, Granular Computing, and Intelligent Information Systems. In 2000 and 2004, Zhong and colleagues introduced WI and BI as new research directions, respectively. Currently, he is focusing on "WI meets BI" research with three aspects: (1) systematic investigations for complex brain science problems; (2) BI studies based on WI research needs; and (3) new information technologies for supporting systematic brain science studies. The synergy between WI and BI advances our ways of analyzing and understanding of data, information, knowledge, wisdom, as well as their interrelationships, organizations, and creation processes, to achieve human-level Web intelligence reality. In 2010, Zhong and colleagues extended such a vision to develop Wisdom Web of Things (W2T) as a holistic framework for computing and intelligence in the big data era. Recently Zhong and colleagues have been working on brain big data based wisdom service project, in which the fundamental issues include how brain informatics based big data interacts in the social-cyber-physical space of the W2T and how to realize human-level collective intelligence as a big data sharing mind, a harmonized collectivity of consciousness on the W2T that uses brain-inspired intelligent technologies to provide wisdom services.