November 2, 2015 @ 1:30 pm – 2:30 pm
Department Conference Room (25 Park Place, Room 755)
Dr. Ning Zhong
Department of Life Science and Informatics
Maebashi Institute of Technology
In this talk, I demonstrate a systematic approach to an integrated understanding of macroscopic and microscopic level working principles of the brain by means of experimental, computational, and cognitive neuroscience studies, as well as utilizing advanced Web intelligence centric information technologies. I discuss research issues and challenges with respect to brain big data computing from three aspects of Brain Informatics studies that deserve closer attention: systematic investigations for complex brain science problems, new information technologies for supporting systematic brain science studies, and Brain Informatics studies based on Web intelligence research needs. These three aspects offer different ways to study traditional cognitive science, neuroscience, mental health, and artificial intelligence.
About the Speaker: Ning Zhong received the Ph.D. degree from the University of Tokyo. He is currently head of the Knowledge Information Systems Laboratory and a professor in the Department of Life Science and Informatics at Maebashi Institute of Technology, Japan. He is also director and an adjunct professor in the International WIC Institute (WICI), Beijing University of Technology. Prof. Zhong’s present research interests include Web Intelligence (WI), Brain Informatics (BI), Data Mining, Granular Computing, and Intelligent Information Systems. Currently, he is focusing on “WI meets BI” research and brain big data computing with three aspects: (1) systematic investigations for complex brain science problems; (2) new information technologies for supporting systematic brain science studies; and (3) BI studies based on WI research needs. The synergy between WI and BI advances our ways of analyzing and understanding data, information, knowledge, and wisdom, as well as their interrelationships, organizations, and creation processes, to achieve a human-level Web intelligence reality. Such interdisciplinary studies make up the field of brain informatics and its applications in brain big data computing, health studies, ICT for smart-city, and brain-inspired intelligent systems, among others.