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Faculties at Tokyo University of Science ›

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.

Hiroshi Sekigawa, Professor
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Sekigawa Lab's research fields are computational algebra, symbolic computation, and symbolic-numeric computation. Professor Hiroshi Sekigawa belongs to the Department of Applied Mathematics at Tokyo University of Science, after working at a research laboratory of Nippon Telegraph and Telephone Corporation, at Tokai University, and elsewhere. His doctoral thesis deals with a method for determining whether an algebraic number is zero using approximate computation, and with its application to symbolic computation algorithms.

Takeshi Kurosawa, Professor
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The Kurosawa Lab uses statistical methods to study mathematical models that describe real-world phenomena. By finding patterns in data that looks random at first glance, statistical methods make it possible to infer what is acting on the subject of study. The lab pays particular attention to classification models, which use probability models to represent things such as spam email detection, weather forecasting, and the factors behind people's decisions when they choose products. Rather than data analysis itself, the lab focuses on theoretical research on evaluation criteria and statistical estimation methods for models related to classification problems, along with the computational methods for them.

Naoko Kunugi, Professor
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Kunugi Lab studies the modular representation theory of finite groups. A finite group is one of the basic algebraic structures. In its representation theory, one studies the properties of homomorphisms from a given finite group to the group of all invertible matrices. The lab studies representations over fields of positive characteristic from the viewpoint of module theory, investigating topics such as the categories of modules of blocks of finite groups.

Hiroyuki Nakagawa, Professor
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Nakagawa Lab studies the learning and teaching of mathematics from the perspective of mathematics education research. The lab works on developing teaching methods and assessment frameworks that improve and promote "adaptation," a difficulty students face when reasoning by analogy. It also works on developing teaching materials that promote collaborative inquiry activities and on developing diffractive analysis methods in mathematics education research.

Keiichi Kato, Professor
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Kato Lab conducts research on partial differential equations. In the Tokyo University of Science researcher information database, its research field is listed as Foundations of Analysis (partial differential equations). Its listed research topics are the representation of solutions of the Schrödinger equation via the wave packet transform and its applications, the analyticity of solutions of dispersive partial differential equations, and the existence of solutions of nonlinear dispersive equations.
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