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Wakamiya Lab
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A lab that explores new information and communication technologies by learning from the mechanisms of life.

AboutAbout the lab
An approach to new information and communication technologies: understanding life and learning from it
The Wakamiya Lab studies new information and communication technologies by learning from the mechanisms of living organisms.
Information and communication systems grow larger and more complex every year, and unexpected situations can cause their performance to drop drastically or stop altogether.
The lab therefore works on Bio-ICT, which applies the highly scalable, adaptable, and robust mechanisms of living organisms to information and communication technology.
Rather than imitating the outward structure or behavior of organisms, the lab takes the mathematical models behind them as its object of study.
Key terms
- Bio-ICT
- Research that applies the mechanisms and algorithms of living organisms to information and communication technology. Short for Bio-inspired ICT.
- Self-organization
- The emergence of a desirable overall structure or state from the autonomous decisions of individual elements, without any entity directing the whole.
- Node
- An individual device or site that makes up a network.
ResearchResearch themes
Living organisms have mechanisms that are highly scalable, adaptable, and robust. The Wakamiya Lab applies these mechanisms to information and communication technology, exploring new information and communication systems with clues such as information processing in the brain, self-organization, and the control of groups of organisms.
*Illustrative imageInformation networks that learn from the brain
The brain, made up of simple nonlinear elements connected together, performs very flexible and sophisticated information processing. By learning from this mechanism, the lab aims to establish robust, low-power information and communication technology.
*Illustrative imageSelf-organizing network control
Information networks have become so large and complex that optimally controlling the whole is no longer possible. The lab therefore studies self-organizing control, in which individual nodes and the network itself control themselves autonomously and achieve the desired function as a whole.
*Illustrative imageUnderstanding and controlling groups of organisms
Properly guiding the behavior of groups of organisms has the potential to greatly raise productivity in agriculture, forestry, and fisheries, and the efficiency of environmental measures. Based on a mathematical understanding of biological behavior and on control engineering, the lab aims to establish next-generation information and communication technology that controls group behavior.
*Illustrative imageExploring challenges in information and communication technology
The lab also approaches the field from the technology side, searching for technical challenges where the mechanisms of life are likely to work effectively. It anticipates challenges newly arising in 5G and in 6G beyond it, such as communication among large numbers of IoT devices and high-speed mobile communication between vehicles and drones.
MembersFaculty
The members of the Wakamiya Lab consist of faculty members, doctoral, master's, and undergraduate students, visiting researchers, and secretaries.
- ProfessorNaoki Wakamiya
- Associate ProfessorShun Kurokawa
- Assistant ProfessorTakeshi Hirai
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “A starling murmuration at Eyemouth - geograph.org.uk - 6378647” Walter Baxter / CC BY-SA 2.0 (cropped)
- Information networks that learn from the brain: “XBio illustration – Biological Neural Network” explorebiology / CC BY 4.0 (cropped)
- Self-organizing network control: “Flock of red knots flying around” Pseudopanax at English Wikipedia / Public domain (cropped)
- Understanding and controlling groups of organisms: “Fish swarm Loro Parque” Eistreter / CC BY-SA 3.0 (cropped)
- Exploring challenges in information and communication technology: “5G network diagram” Goodtiming8871 / CC BY-SA 4.0 (cropped)
- Related lab (Kawahara Lab): “Artificial Neural Network with Chip” mikemacmarketing / original posted on flickr Liam Huang / clipped and posted on flickr / CC BY 2.0 (cropped)
- Related lab (Izumi Lab): “Cluster.SlashFive” MEGWARE Computer GmbH / CC BY-SA 3.0 (cropped)
- Related lab (Senoo Lab): “Fluidigm C1 Single-Cell Auto Prep system” Konrad Förstner / CC BY 2.0 (cropped)
- Related lab (Nakano Lab): “Human brain anatomical planes letter annotations” JonRichfield / CC BY-SA 4.0 (cropped)
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