Biologically Inspired Networking
With the advent of the Internet of Things, it is expected that more than 1 trillion devices will connect to the Internet in the near future. Networking for such large and complex networks requires new control paradigms. In contrast to most engineering systems, in biological systems, large and complex structures are perfectly organized without any knowledge about whole the system. Several research results have gradually reveal that behaviors of such biological systems including human brains are explained with rather simple dynamics with noise. I believe that such biological systems have hidden concepts that are required for the future networking. To realize future networking for large and complex networks, I will work on integrating mechanisms found in biological systems into networking.
- Mar. 2009 Ph.D. (Information Science) Graduate School of Information Science and Technology, Osaka University
- 2009 Assistant Professor, Graduate School of Information Science and Technology, Osaka University
The four-digit phone numbers are extensions at Osaka University. To call directly from outside Osaka University, dial a phone number marked S after (area code 06) 6850 or a phone number marked T after (area code 06) 6879. For a phone number marked S (extension), however, first dial the main phone number (06) 6879-5111.
The e-mail addresses are given without the suffix "osaka-u.ac.jp"; add "osaka-u.ac.jp" to each e-mail address.