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Sato Lab
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The lab studies how to make use of distributed data through wireless networks and spatiotemporal statistics.
AboutAbout the lab
Next-generation wireless and statistics that put distributed data to use
The Sato Lab conducts research from the perspectives of wireless communications, spatiotemporal statistics, and distributed processing, looking ahead to a next-generation society in which the use of vast amounts of distributed data becomes essential infrastructure.
The lab's keywords include wireless networks, Beyond 5G/6G, sensing, spatiotemporal statistics, distributed machine learning, Gaussian processes, and Bayesian optimization.
The lab's news section lists papers and presentations on building radio maps and on designing wireless base stations using Bayesian optimization.
Key terms
- Gaussian process
- A statistical method that estimates the values at unobserved points from observed data, together with a range showing the uncertainty
- Bayesian optimization
- A method that chooses the next conditions to try based on the results so far, in order to find good settings with few trials
- Distributed machine learning
- A method of performing machine learning by dividing data and computation across multiple terminals or devices
NewsLab news
A master's student won the top prize at the ITU AI/ML in 5G Challenge 2025
A paper was accepted by IEEE Transactions on Cognitive Communications and Networking
A master's student received a University of Electro-Communications Student Award for fiscal 2024
A master's student won the Outstanding Poster Presentation Award at IEICE RISING2024
ResearchResearch themes
The Sato Lab conducts research from the perspectives of wireless communications, spatiotemporal statistics, and distributed processing, looking ahead to a next-generation society in which the use of vast amounts of distributed data becomes essential infrastructure. The lab's news section includes a presentation on spatial regression analysis that does not rely on positioning, and a talk on distributed regression analysis using over-the-air computation.
View More ↗MembersFaculty
The Sato Lab's members consist of faculty, administrative assistants, and doctoral, master's, and undergraduate students.As of 2026
- Associate ProfessorKoya Sato
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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: “WSN event detection” Camackay10 / CC BY-SA 4.0 (cropped)
- Related lab (Wu Wu Lab): “Traffic information sign, M2, Belfast - geograph.org.uk - 3854949” Albert Bridge / CC BY-SA 2.0 (cropped)
- Related lab (Honda-Miwa-Yamaki Lab): “Network switches” ShakataGaNai / CC BY-SA 3.0 (cropped)
- Related lab (Kohjima Lab): “Machine Learning cookies” Syced / CC0 (cropped)
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