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12 labs · 0 student voices
Other departments in Division I, Faculty of Science ›Faculties at Tokyo University of Science ›
Shummin Nakayama, Lecturer
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The Nakayama Lab specializes in mathematical optimization and operations research. Lecturer Shummin Nakayama became a Lecturer in the Department of Applied Mathematics, Faculty of Science Division I, Tokyo University of Science in April 2025. At the undergraduate level, he teaches courses on optimization theory and operations research, and also supervises graduation research. His books include Manga de Wakaru Suri Saitekika (Mathematical Optimization Explained with Manga) and Hisenkei Saitekika-ho: Suriteki Kiso to Python ni yoru Jisso (Nonlinear Optimization Methods: Mathematical Foundations and Implementation in Python).
Hidetoshi Murakami
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The Murakami Lab studies statistics and nonparametric methods. Nonparametric methods are highly versatile statistical techniques that do not require assumptions about the population distribution. The lab also works on statistical process control, approximate distributions, and multivariate analysis. In 2008, Prof. Murakami started a statistics study group in which students, young researchers, and faculty members discuss statistics across the boundaries of universities and research fields.
Takuya Matsuzaki, Professor
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Matsuzaki Lab studies natural language processing and artificial intelligence. Its research field is intelligent informatics, and the listed areas are natural language processing, artificial intelligence, syntactic parsing, and semantic analysis. According to the researcher information, Professor Takuya Matsuzaki worked on research in natural language processing and artificial intelligence from 2007 to 2025. The researcher information lists awards that include a paper award and an annual meeting award from the Association for Natural Language Processing.
Masahiro Yanagida, Professor
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Yanagida Lab studies information theory and operator theory. Its research topics are the foundations of information entropy and its applications, and operator inequalities and their applications. Professor Masahiro Yanagida studied linear operators on Hilbert spaces and has since also taken up research on information entropy and its applications.
Hiroki Hashiguchi, Professor
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Hashiguchi Lab studies mathematical statistics. Within multivariate analysis of real and complex numbers, the lab focuses on the complex case, with communication technology and shape analysis in mind. The lab studies the distributions of random matrices from both theoretical and numerical computation approaches. The distribution theory of complex random matrices has applications in statistical shape analysis and wireless communication technology.
Takashi Seo, Professor
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The Seo Lab studies statistical science, with a central focus on multivariate analysis. In the fields of mathematical foundations and applied mathematics, the lab works on mathematical statistics. Its research theme is "Research on Multivariate Statistical Analysis," and it addresses the distributions of test statistics and the statistical analysis of missing data.
Masanobu Inubushi, Associate Professor
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The Inubushi Lab uses dynamical systems theory, a branch of mathematics, to study nonlinear problems that arise in fluid motion and machine learning. Dynamical systems theory is a field of mathematics that investigates mathematical models such as differential equations. In nonlinear models, a seemingly random phenomenon called chaos can occur even without any stochastic element. The lab applies this theory to research aimed at understanding, predicting, and controlling nonlinear phenomena. Recently, it has also been working on applying methods from information science to problems in fluid dynamics.
Emiko Ishiwata, Professor
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The Ishiwata Lab studies numerical analysis, which underpins the numerical simulation of natural phenomena. It works on the numerical computation and stability analysis of differential equations with time delays (delay differential equations), which appear in physical and biological models. The lab also takes up applications to the numerical computation of certain discrete integrable systems, as well as the numerical computation of systems of linear equations obtained through discretization.
Hu Hu
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Hu Lab studies the development of practical approximation methods for combinatorial optimization problems such as placement problems, vehicle routing problems, and scheduling problems. Combinatorial optimization problems are problems in which the space where solutions are defined and the constraints are discrete. Many of the problems that arise in society can be expressed in this form. In many cases, obtaining an optimal solution within a realistic computation time is extremely difficult. For this reason, methods that efficiently find approximate solutions of moderate accuracy are considered useful. The research page mainly introduces research the lab has done so far, and its list of publications is recorded only up to around 2019.
Katsusuke Nabeshima, Professor
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Nabeshima Lab studies computer algebra and symbolic computation. The lab studies algebraic algorithms for making computers do mathematics, based on commutative algebra and algebraic geometry. With "computation" as the keyword, the lab considers how to do advanced mathematics on computers. The lab is in the Department of Applied Mathematics, Faculty of Science Division I, at Tokyo University of Science.
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