Information and communication systems are now one of indispensable social infrastructures. However they suffer from serious problems such as considerable performance degradation and sudden halt because of ever-increasing size and complexity. On the contrary, biological systems are inherently sustainable even under unexpected or extreme conditions. They have acquired robust, adaptive, and energy-efficient mechanisms through long-term evolution and development.
To establish sustainable information and communication systems, we take a novel approach to be inspired from biological systems and their principles. We analyze, model, and adopt biological algorithms and mechanisms which allow their sustainable growth and propagation to overcome emerging problems that cannot be solved by conventional design methodology. We call our interdisciplinary research area Bio-ICT (Bio-inspired Information and Communication Technology). We conduct Bio-ICT research covering multi-disciplinary topics; information networking, self-organization, fluctuation, plasticity, and information theory.
Biological systems are inherently scalable, adaptive, and robust. Once we can derive and adopt fundamental principles behind those characteristics, highly sustainable information and communication systems come into reality and keep playing a role as a social infrastructure. In our Bio-system Analysis Laboratory, we conduct such bio-inspired research to analyze and apply biological algorithms and mechanisms to establishment of novel information and communication systems and technology.
Brainmorphic information network
The human brain achieves high performance on information processing, consisting of simple non-linear elements. By researching the structures, we aim to establish a robust and energy-efficient ICT.
For the massiveness and the complexity of the information networks, it is almost impossible to control overall the network. In self-organized system, the indivisual nodes autonomously control the network, resulting in the desired functionality.
Understanding and controlling of the swarms
Properly guiding the behavior of swarming organisms has the potential to dramatically increase the productivity of agriculture, forestry, and fisheries, as well as the efficiency of environmental measures. Based on the mathematical understanding of biological behavior and control engineering, the Wakamiya Laboratory aims to establish next-generation information and communication technology for controlling swarming behavior.
The Wakamiya Lab is exploring technical issues where the mechanism of life may work effectively from the information and communication technology side as well. For example, in 5G and beyond, we are anticipating issues that will arise in new use cases such as "mMTC: supporting communication between many IoT devices" and "high-speed mobile communication between cars and drones".
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We are recruiting postgraduate students (including graduate societies).
If you wish to visit the laboratory, please contact Prof. Wakamiya in advance.
We promote various collaborative research projects.
Please contact Prof. Wakamiya for inquiries regarding collaborative research.