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35 labs · 0 student voices
Other departments in Faculty of Informatics ›Faculties at Tokyo University of Science ›
Aki Ishii, Lecturer
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The Ishii Lab works in the field of high-dimensional statistical analysis, with statistical science as its research keyword. Its stated research topic is statistical inference for high-dimensional dependent samples. Lecturer Aki Ishii has been engaged in research on high-dimensional statistical analysis since 2013. The research field is classified as mathematical foundations and applied mathematics.
Kenta Noguchi, Associate Professor
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Noguchi Lab studies graph theory, the mathematics of network structures made up of vertices and edges. From a theoretical standpoint, the lab examines questions such as whether a given figure can be drawn in a single stroke without lifting the pen, and whether a knight can move so as to visit every square of a chessboard exactly once. In particular, the lab works on graph coloring and the embedding of graphs in surfaces. By proving theorems in mathematics, the lab also keeps applications to graph algorithms in view.
Shizu Itaka, Lecturer
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The Itaka Lab works in forest science, and its research keywords include forest planning and agricultural informatics. Its current work covers the spread and control of Japanese oak wilt, and the identification of broadleaf tree species using UAV images. Past work includes research on Yakusugi forests using tree-ring analysis, and research on AI in agriculture.
Taku Harada, Professor
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The Harada Lab studies the design and application of artificial intelligence algorithms from two sides: optimization and machine learning. In optimization, it works with algorithms based on evolutionary computation, which imitates the evolution and behavior of living organisms, including genetic algorithms and particle swarm optimization. In machine learning, it targets a wide range of models, including deep learning and reinforcement learning. Its main application areas are healthcare and social systems.
Seiichi Yasui, Professor
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The Yasui Lab studies statistical quality control, which manages and optimizes the quality of manufacturing through data analysis. Taking in everything from statistics to machine learning, the lab explores data analysis methods for achieving good quality. It is also taking on the challenge of quality control in wood processing, which has been considered difficult because wood is a natural material.
Makoto Goto, Associate Professor
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Goto Lab uses financial engineering to study risks arising from uncertainty in financial markets. For risks in corporate management, the lab uses real options, an application of financial engineering techniques, to analyze them and support decision-making such as investment decisions. As application areas, the lab also works on sports finance and infectious disease problems. Through research supervision, the lab trains leaders with an engineering ability to identify and solve problems.
Yuna Seo, Associate Professor
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Aiming to design sustainable social systems, Seo Lab studies consumer acceptance of new technologies and the environmental impact of resource circulation systems. Through analysis of how consumers perceive things, support for market evaluation and strategy development, and environmental impact assessment, the lab advances the design of sustainable social systems. The lab's research topics also include evaluating the real-world use of technologies that utilize CO₂ as a resource in a decarbonized society, and policy evaluation of circular economy models. On the lab's website, its published papers are presented by field.
Aya Ishigaki, Professor
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Ishigaki Lab's main research areas are supply chain management, operations research, and marketing. The lab covers a wide range of research themes, centered on the fields that students are interested in. There are also many examples of joint research with companies and research institutes. The lab's motto is "Give everything your all, and have fun."
Ryo Hatano, Lecturer
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The Hatano Lab studies modal logic, a branch of mathematical logic. The lab takes the view that modal logic is a logic for dealing with the content of information. Its research reconceives dynamic epistemic logic, which captures changes in an agent's epistemic state, as an extension of modal logic that deals with information flow. The lab also aims to provide a foundation for capturing program behavior and image transformations based on mathematical morphology within the same logical framework.
Hiroyuki Nishiyama, Professor
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The Nishiyama Lab studies the convenience and time savings of the networked society from the standpoint of artificial intelligence. The lab considers whether new network services can be created by collecting familiar information with everyday devices such as smartphones (high-functionality mobile terminals), and works to make them a reality. It works on user support systems that run on smartphones and cooperative distributed processing systems that enable prompt services, support, and problem solving. Its research areas are distributed artificial intelligence, network services, security, and robotics.
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