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Sadakane-Ito Lab (Mathematical Informatics Lab 2)
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A lab that handles information through mathematical structure, from algorithms for massive data to machine learning and optimization.
AboutAbout the lab
Valuing mathematical structure
The Sadakane-Ito Lab studies mathematical engineering broadly, with an emphasis on mathematical structure.
The lab works on combinatorial optimization, algorithm theory, and applications of discrete mathematics to engineering.
Prof. Sadakane researches algorithms and data structures for processing massive amounts of data.
Associate Professor Ito researches machine learning and mathematical optimization methodologies for decision-making under uncertainty.
Key terms
- Algorithms
- The procedure or set of computational rules a computer follows to solve a problem.
- Succinct data structures
- A way of storing data so that operations such as search can still be performed while the data remains compressed to a small size.
- Combinatorial optimization
- The problem of finding the best option among a huge number of possible choices or arrangements, and the methods for solving it.
ResearchResearch themes
The lab studies mathematical engineering broadly, with a particular emphasis on mathematical structure. It works on algorithms and data structures for massive data, and on machine learning and mathematical optimization for decision-making under uncertainty.
*Illustrative imageAlgorithms for Massive Data
The lab studies the theory and applications of compression methods that allow data to be processed while it remains compressed, and of succinct data structures. It also develops computational models and algorithms for many-core environments such as GPUs.
*Illustrative imageDecision-Making under Uncertainty
The lab studies machine learning and mathematical optimization, aiming for general-purpose, efficient methodologies for decision-making under uncertainty. It works on online learning and bandit problems, algorithms for optimization problems that involve uncertainty, and applications to revenue management and portfolio management.
MembersFaculty
The members of the Sadakane-Ito Lab include faculty, project researchers, and doctoral and master's students.As of 2026
- ProfessorKunihiko SadakanePublications ↗
- Associate ProfessorShinji ItoPublications ↗
- Assistant ProfessorRyoga Mahara
- Project Assistant ProfessorSankardeep Chakraborty
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: “TSP Deutschland 3” The original uploader was Kapitän Nemo at German Wikipedia. / Public domain (cropped)
- Algorithms for Massive Data: “Suffix tree for abbabbab” DonSimon / CC0 (cropped)
- Decision-Making under Uncertainty: “Casino Aboard the Celebrity Equinox before Christmas ( )” Joe Ross from Lansing, Michigan / CC BY-SA 2.0 (cropped)
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(計画数理情報学研究室): “Vierwies wind farm, seen from a hot air balloon, Zele, 2026” DimiTalen / CC0 (cropped)
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