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Mathematical Informatics Lab
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A group that turns phenomena into mathematical models from an informatics perspective and analyzes them.
AboutAbout the lab
Capturing phenomena through informatics and solving them with mathematical models
The Mathematical Informatics group studies various phenomena that appear in science and technology from an informatics perspective, building and analyzing mathematical models.
Through this analysis, the group aims to solve a wide range of problems in information processing.
The group includes labs that work on string algorithms, machine learning and information theory, information security, quantum information, and more.
The group is listed under the Information Science course in the Department of Physics, Faculty of Science, and under the Department of Electrical Engineering and Computer Science, Faculty of Engineering. Its graduate program is the Department of Information Science and Technology in the Graduate School of Information Science and Electrical Engineering.
Key terms
- Algorithm
- A computational method for solving a problem. Used in familiar settings such as shortest-path search and sorting
- String
- A general term for ordered data such as text, time series, and sequences of numbers
- Combinatorics on words
- A field that explores the mathematical properties of strings
ResearchResearch themes
The group represents phenomena that appear in science and technology with mathematical models and analyzes them, aiming to solve problems in information processing. Its labs cover topics ranging from the theory of algorithms to machine learning and information security.
*Illustrative imageAlgorithms for Fast String Processing
Ordered data such as text and time series are collectively called "strings." The lab theoretically studies algorithms that process them extremely fast and in little space, combining combinatorics on words, which explores the mathematical properties of strings, with state-of-the-art algorithm and data structure techniques.
*Illustrative imageMathematical Foundations of Machine Learning and Information Theory
The lab aims to clarify the mathematical form of problems in computers and digital communication and to derive universal solutions based on it. It covers foundational theories such as learning theory, machine learning, information theory, and communication theory, along with their applications.
Computational Methods for Solving Problems
The lab studies algorithms, which are computational methods for solving problems. Focusing on the mathematical structure of each problem, it considers how to compute well under given computing resources, time, and constraints, and creates new computational methods.
*Illustrative imageSecurity for a Connected Society
In a world where everything is connected through networks, an attacker taking control could cause enormous damage. To protect society, the lab studies new technologies and paradigms for security-related applications.
MembersFaculty
- ProfessorShunsuke Inenaga
- ProfessorKoichi Sakurai
- ProfessorYutaka Jitsumatsu
- ProfessorJunichi Takeuchi
- ProfessorMasao Hirokawa
- ProfessorYukiko Yamauchi
- Associate ProfessorYujie Gu
- Associate ProfessorHiroyasu Tajima
- Associate ProfessorYuto Nakashima
- Associate ProfessorTesshu Hanaka
- Associate ProfessorDanilo Vasconcelos Vargas
- Assistant ProfessorYoshinari Takeishi
- Assistant ProfessorTakeru Hidaka
- Assistant ProfessorMitsuru Funakoshi
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: “ZUSE Z22 vacuum tube 2” Sammlung der Medien und Wissenschaft / CC BY 4.0 (cropped)
- Algorithms for Fast String Processing: “A diagram of the Aho-Corasick string search algorithm extracted” User:Algorithmist / CC0 (cropped)
- Mathematical Foundations of Machine Learning and Information Theory: “Blackboard bold on a blackboard” Jacob Rus / CC BY-SA 4.0 (cropped)
- Security for a Connected Society: “Solex 99 30 padlock with keys (DSCF2659)” Trougnouf / CC BY 4.0 (cropped)
- Related lab (Computational Science Lab): “Von Karman vortices off Rishiri Island, Japan” NASA / Public domain (cropped)
- Related lab (Intelligence Science Lab): “Brain-inspired cognitive architecture” Baba 496 / CC0 (cropped)
- Related lab (Mathematical Physics Lab): “Simulation of a cosmological thermal phase transition, late times” DWeir / CC BY 4.0 (cropped)
- Related lab (Emergent Quantum Matter Lab): “Two-pronged Approach to Studying High-temperature Superconductivity ( )” National Science Foundation / Public domain (cropped)
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