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AI-Applied Communication Technology Lab
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A lab pursuing the next generation of information and communication networks.
AboutAbout the lab
Pursuing the next generation of information and communication networks.
The AI-Applied Communication Technology Lab (Kato Lab) studies information and communication networks, including satellite, wireless, and optical networks, with the next generation in mind.
In an era when every device around us will have communication capabilities, the lab explores how to make full use of network capacity and enhance it further.
Grounded in theory and centered on network and protocol design, the lab carries out research and development toward realizing optimal information and communication networks.
The lab has no core hours, and accepts lab visits for third-year undergraduates and students transferring into the graduate school.
Key terms
- IoT
- A mechanism in which many kinds of things, such as home appliances, cars, and sensors, are connected to a network and exchange information
- Protocol
- The rules by which devices communicate with each other over a network, defining aspects such as how and in what order data is sent
- Low Earth orbit satellite constellation
- A mechanism that combines many satellites orbiting close to Earth to deliver communication across the entire globe
- Deep learning
- A machine learning method that uses multilayer neural networks to automatically learn features from large amounts of data
NewsLab news
View More ↗ResearchResearch themes
The lab aims to make full use of the capacity of information and communication networks that connect the devices around us in the IoT era, and to enhance it further. Centered on theory-based network design and protocol design, it carries out research and development toward realizing optimal networks in areas such as satellites, the integration of optical and wireless networks, disaster-resilient networks, and control using machine learning.
*Illustrative imageIntegrated Networks Connecting Satellites and the Ground
The lab aims to build integrated space-air-ground networks in which satellite networks, such as low Earth orbit satellite constellations that deliver communication across the entire globe, work in coordination with terrestrial networks. It studies the construction of mathematical models and AI-based control.
*Illustrative imageNetworks Integrating Optical and Wireless Communication
The lab studies mechanisms that tightly integrate wireless networks, which can be used anywhere, with optical networks, which can carry large volumes of communication, so that each makes the most of its strengths. It also works on techniques that control communication quality and power consumption to optimize the network as a whole.
*Illustrative imageDisaster-Resilient Networks
Even if communication infrastructure becomes unusable in a major disaster such as the Great East Japan Earthquake, the lab aims to provide the necessary information and communication services through networks built by interconnecting devices directly with one another. It studies topics such as disaster-resilient wireless mesh networks and network virtualization.
*Illustrative imageNetwork Control Using Machine Learning
It is said that conventional, simple control methods struggle to cope with rapidly growing data traffic. The lab works on intelligent traffic control and routing control using deep learning, and also studies applications to integrated space-air-ground networks.
MembersFaculty
The members of the AI-Applied Communication Technology Lab consist of faculty members, Project Assistant Professors, researchers, JSPS Research Fellows, administrative assistants, doctoral, master's, and undergraduate students, research students, short-term exchange program students, faculty members from affiliated labs, and Project Professors from the Co-creation Institute. The faculty members include Assistant Professors with concurrent appointments at the Frontier Research Institute for Interdisciplinary Sciences.As of 2026
- ProfessorNei Kato
- Assistant ProfessorYawen Tan
- Assistant ProfessorHiroaki Hashida
- Project Assistant ProfessorReham Wafaee Ibrahim
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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: “Singtel-dishes” mailer_diablo / CC BY-SA 3.0 (cropped)
- Integrated Networks Connecting Satellites and the Ground: “Constellation satellites in low Earth orbits (artist’s impression, not to scale) (noirlab2022a)” NOIRLab/NSF/AURA/P. Marenfeld / CC BY 4.0 (cropped)
- Networks Integrating Optical and Wireless Communication: “NBN Co fibre optic cable” Bidgee / CC BY-SA 3.0 au (cropped)
- Disaster-Resilient Networks: “Cisco Network Emergency Response Vehicle (NERV)” Sinkorhon / CC BY-SA 4.0 (cropped)
- Network Control Using Machine Learning: “Server Room ( )” Carl Lender from Sunrise, USA / CC BY 2.0 (cropped)
- Related lab (Information Networks Lab): “RIT CSH - Network Rack ( )” Jon Parise / CC BY-SA 2.0 (cropped)
- Related lab (Information and Communication Software Lab): “DHL Netherlands local site computer room server racks - IMG 3297” Jemimus / CC BY 2.0 (cropped)
- Related lab (Advanced Applied Data Science Lab): “Transmission electron microscope (2)” Gannu03 / CC BY-SA 4.0 (cropped)
- Related lab (Biological Information Systems Science Lab): “Integrated Genome Browser 9.1.0 showing chromosome 1 of the human genome assembly hg38” Aloraine / CC BY-SA 4.0 (cropped)
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