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Zhao Lab
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A lab that connects data to the solution of real-world problems through statistics and mathematical programming.
AboutAbout the lab
Judging efficiency from uncertain data.
The Zhao Lab uses mathematical science approaches such as mathematical programming and statistical methods to connect data to the solution of real-world problems in a wide range of fields.
In today's information society, production and management settings are required to improve operational efficiency by making full use of diverse kinds of information.
Because the data used in analysis contain uncertainty such as observation error and noise, the lab also works on statistical data analysis methods that incorporate this stochastic variation.
In the university's lab introduction, example themes include solving real-world problems using statistical learning theory, evaluating management efficiency under uncertain environments, and multi-criteria data analysis methods for system evaluation.
Key terms
- Mathematical programming
- A method of mathematically finding the best choice among those that satisfy given conditions
- Stochastic variation
- Random fluctuation in data values caused by observation error, noise, and similar factors
- Data envelopment analysis
- A method of evaluating, from data, the efficiency of organizations and similar units that have multiple inputs and outputs. Abbreviated as DEA
ResearchResearch themes
The lab specializes in statistical science and management engineering, with statistical data analysis, management efficiency analysis, and mathematical optimization as its keywords. According to the university's researcher information, the lab has been working on statistical data envelopment analysis (DEA) since 2024, and on intelligent algorithms for management and marketing since 2025.
View More ↗MembersFaculty
- LecturerZhao Zhao
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