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
- 2018 Associate Professor, Graduate School of Information Science and Technology, Osaka University
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