My research aims to develop the fundamentally new architecture for information and communication systems, which are more efficient, robust, and sustainable than ever before.

The increasing size and complexity make conventional information and communication systems fragile. They easily halt when facing to unexpected changes and failures. Therefore, there is an urgent need to develop completely new information and communication technologies, i.e., algorithms, mechanisms, and architectures, that are adaptive and robust to expected and unexpected future changes.

On the other hand, complex biological systems such as the brain illustrate remarkable examples of energy-efficiency, adaptability, and robustness. In addition, they consist of simple entities, but can perform complicated information processing and exhibit a highly ordered behavior as a whole. Therefore, biological systems provide a new paradigm for synthetic network design.

I have developed bio-inspired algorithms to solve network routing problems. It was verified that they could decrease the computational complexity and energy consumption to about 1/1,000 of current routing protocols. In addition, they were robust to unexpected changes such as the abrupt traffic increase and failures. Currently, I propose a new architecture of networks, called B-WSN: brain-morphic wireless sensor network, which perform in-network computation like a brain.