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Nakata Lab
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An optimization and machine learning lab that solves real-world problems with mathematical models.
AboutAbout the lab
Guiding real-world problems to solutions with mathematical models.
The Nakata Lab studies operations research, machine learning, and mathematical optimization.
These fields overlap considerably, and the lab conducts research across them.
Recently, joint research with companies has increased, and the lab mathematically solves problems arising on the front lines and analyzes real data to find new insights.
By joining a joint research project, students can experience how the theory they learn at university is put to use in society.
Key terms
- Operations research
- A method of representing problems that arise in organizations with mathematical models, analyzing them, and deriving rational solutions. Also called OR
- Mathematical optimization
- A technique for finding, among the options that satisfy given constraints, the solution that minimizes (or maximizes) a target value
- Machine learning
- A method of analyzing large amounts of data to extract useful rules and decision criteria from it
NewsLab news
Students won the Grand Prize at the FY2025 Data Analysis Competition
Professor Nakata and colleagues won the Case Study Award from the Operations Research Society of Japan
Professor Nakata and students won the Grand Prize at the FY2024 Data Analysis Competition
Professor Nakata and students won the Grand Prize at the preliminary round of the FY2024 Data Analysis Competition
A student won the Best Presentation Award at the Young Researchers' Workshop on Optimization 2024
ResearchResearch themes
The Nakata Lab centers its research on operations research, machine learning, and mathematical optimization. These fields have much in common, and in practice the lab conducts research across them.
*Illustrative imageOperations Research
The lab represents problems arising in organizations with mathematical models and derives rational solutions. By closely observing the work site and holding repeated discussions with the people involved, it improves models and algorithms step by step.
*Illustrative imageMachine Learning
The lab has analyzed real data such as purchase histories, access logs, machine operation data, and large volumes of Japanese-language documents. To obtain useful insights, it devises methods tailored to the data and proposes new learning models.
*Illustrative imageMathematical Optimization
The lab explores better optimization methods, working on discovering new algorithms and developing optimization software that implements them. To this end, it investigates the mathematical structure of optimization problems.
MembersFaculty
The members of the Nakata Lab consist of faculty and students in the doctoral, master's, and undergraduate programs.As of 2026
- ProfessorKazuhide NakataPublications ↗
- Assistant ProfessorYuya HikimaPublications ↗
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: “Train headway diagram ja” Tam0031 / CC BY-SA 3.0 (cropped)
- Operations Research: “Hochregallager” Heinrich Taxis GmbH + Co. KG / CC BY-SA 4.0 (cropped)
- Machine Learning: “Datacenter Server Racks ( )” Carl Lender from Sunrise, USA / CC BY 2.0 (cropped)
- Mathematical Optimization: “Rosenbrock function 2” RokerHRO / Public domain (cropped)
- Related lab (小林研究室): “Aerial photograph of the Port of Miami Container Port” James R. Tourtellotte / Public domain (cropped)
- Related lab (松井研究室): “Simplex-method-3-dimensions” User:Sdo / CC BY-SA 3.0 (cropped)
- Related lab (塩浦研究室): “Container Stacking, Port Of Onehunga” Ingolfson / Public domain (cropped)
- Related lab (市瀬研究室): “Bookshelves of red-covered journals” PeaceSeekers / CC BY 4.0 (cropped)
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