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Mathematical Informatics Lab
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The lab studies information modeling and algorithms using mathematical methods.
AboutAbout the lab
Exploring how to handle information with mathematical methods
The Mathematical Informatics Lab studies information modeling and algorithms using mathematical methods.
Using mathematical methods, the lab handles a wide range of phenomena in nature, life, and society, as well as computer-based information such as media and knowledge, and explores methods for analyzing, searching, generating, and reconstructing them.
The lab mainly studies numerical analysis and mathematical software, and is commonly known as "MMALab."
The Numerical Computation Group holds its lab seminar every Thursday, and the Mathematical Media Informatics Group holds its lab seminar every Wednesday.
Key terms
- Data collaboration analysis
- A technique for analyzing data held separately by multiple institutions together, without sharing the raw data.
- Eigenvalue decomposition
- A type of matrix computation. In this lab, it is a target for the development of massively parallel algorithms.
- Massively parallel
- A computing approach in which a large number of computations proceed at the same time. It is used in developing algorithms for supercomputers.
NewsLab news
View More ↗ResearchResearch themes
Centered on numerical analysis and mathematical software, the Mathematical Informatics Lab studies machine learning and AI, integrated analysis of data held by multiple institutions, and numerical algorithms for supercomputers. In machine learning and AI, the lab develops and applies its technologies in collaboration with application fields such as healthcare, agriculture, infrastructure, and manufacturing.
*Illustrative imageDeveloping and Applying Machine Learning and AI Technologies
Building on high-performance matrix computation techniques, the lab develops and applies new machine learning and AI technologies. It works in collaboration with a variety of fields, including healthcare, agriculture, infrastructure, and manufacturing.
*Illustrative imageIntegrated Analysis Without Sharing Data
The lab develops data collaboration analysis techniques that analyze data held separately by multiple institutions together, without sharing the raw data. It also works on applying them to real data from companies, local governments, hospitals, and other organizations.
*Illustrative imageMassively Parallel Matrix Computation Algorithms
For supercomputers, the lab develops massively parallel matrix computation algorithms, such as those for eigenvalue decomposition and linear equations, along with high-performance implementation methods. It also works on applying them to real applications such as vibration analysis and electronic structure calculation.
MembersFaculty
Members of the Mathematical Informatics Lab consist of faculty members and doctoral, master's, and undergraduate students.As of 2026
- ProfessorTetsuya Sakurai
- Associate ProfessorAkira Imakura
- Associate ProfessorYasunori Futamura
- Associate ProfessorXiucai Ye
- Assistant ProfessorKeiichi Morikuni
- Assistant ProfessorYuji Kawamata
- Assistant ProfessorSatoshi Aoki
- Assistant ProfessorVictor Nakaguchi
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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: “Galileo supercomputer rack” CINECA / CC BY 2.0 (cropped)
- Developing and Applying Machine Learning and AI Technologies: “Factory Automation Robotics Palettizing Bread” KUKA Roboter GmbH, Bachmann / Public domain (cropped)
- Integrated Analysis Without Sharing Data: “Racks Amravati Data Center” PiDatacenters / CC BY-SA 4.0 (cropped)
- Massively Parallel Matrix Computation Algorithms: “The catalyst high performance computing (HPC)” ENERGY.GOV / Public domain (cropped)
- Related lab (High Performance Computing Systems Lab): “Supercomputer Quinde I” JeffCF03 / CC BY-SA 4.0 (cropped)
- Related lab (Natural Language Processing on the Web Lab): “Vecteezy stack-of-newspaper 1961329” Bernerlover / CC BY 4.0 (cropped)
- Related lab (Integrated Systems Lab): “CSIRO ScienceImage 105 Large Scale Integrated Circuit Chip” Publishing, CSIRO / CC BY 3.0 (cropped)
- Related lab (Data-Driven Networking Architecture Lab): “Mojo v3 FPGA Development Board ( )” SparkFun Electronics from Boulder, USA / CC BY 2.0 (cropped)
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