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Applied Topology and Industry-Academia Collaboration Lab (Tetsuhiro Moriyama)
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The lab works on applications of topology and on industry-academia collaboration.

AboutAbout the lab
Studying topology, with a focus on its applications and industry-academia collaboration.
The Applied Topology and Industry-Academia Collaboration Lab studies topology at the Institute of Mathematics for Industry.
Besides studying configuration spaces of points and finite-type topological invariants, the lab also does research that uses topology in applied fields such as image analysis and multidimensional data analysis.
Associate Professor Tetsuhiro Moriyama is in charge of industry-academia collaboration and the AIMaP project.
Associate Professor Moriyama is also a member of the Next-Generation Manufacturing Innovation Promotion Hub, a joint research promotion hub established in October 2025 by Kyushu University and Sumitomo Wiring Systems.
Key terms
- Topology
- A branch of mathematics that studies the properties of shapes that do not change under continuous deformation. In Japanese it is also called isōkikagaku.
- Configuration space of points
- When several points are placed on a surface or similar space, the set of all possible ways of placing them, viewed as a single space.
ResearchResearch themes
The lab studies topology and researches how to apply topology to image analysis and multidimensional data analysis. It also works with industry through its role in charge of industry-academia collaboration.
*Illustrative imageTopology and Its Applications to Data Analysis
From the standpoint of topology, the lab studies configuration spaces of points, finite-type topological invariants, and related topics. It also explores the use of topology in applied fields such as image analysis and multidimensional data analysis.
*Illustrative imageJoint Research Hub for Next-Generation Manufacturing
The professor takes part as a member of the joint research promotion hub established by Kyushu University and Sumitomo Wiring Systems. The hub aims to resolve the uncertainty caused by reliance on human labor in manufacturing, and carries out research across all academic fields using mathematical and information technologies such as big data, AI, and optimization.
MembersFaculty
- Associate ProfessorTetsuhiro Moriyama
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: “Schematic description of circuit topology” Sangak / CC BY-SA 4.0 (cropped)
- Topology and Its Applications to Data Analysis: “Point-Cloud-to-BIM-Conversion-Process-for-Architectural-3D-Modeling-and-CAD Workflow” Matthewadams66 / CC0 (cropped)
- Joint Research Hub for Next-Generation Manufacturing: “Imprimante 3D” Adoscam / CC BY-SA 4.0 (cropped)
- Related lab (Applied Topology and Industry-Academia Collaboration Lab): “SSPF factory floor view with modules” Creator:George Shelton NASA KSC, retouched and enhanced by John Chryslar / Public domain (cropped)
- Related lab (Science, Technology, and Innovation Policy Lab (Fumikazu Sato)): “The Institute of Mathematics of national academy of sciences of Ukraine.Entrance examination. Kyiv 2019” Lena Gulenko / CC BY 4.0 (cropped)
- Related lab (Probability Theory and Random Point Processes Lab): “A boolean model” Tensorproduct / CC BY-SA 4.0 (cropped)
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