School of Information and Data Sciences, Nagasaki University

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Research Activities

Staff Introduction

Yutaro KABATA
Position・Degree
  • Institute of Integrated Science and Technology, Assistant Professor
  • School of Information and Data Sciences, Assistant Professor
  • Ph. D. (Science)
Email
kabatanagasaki-u.ac.jp
Researcher number
40830097
Date of arrival
Nagasaki University: Jun.2020-
Areas of Research
singularity theory, surface theory, applied singularity theory
CV
H24.3
B.A. Arts, International Christian University
H26.3
M.S. Science, Hokkaido University
H29.3
Ph. D. Science, Hokkaido University
H29.4
JSPS Post-doctoral Fellowship, Kobe University
H30.4
Post-doctoral Fellow, Hokkaido University
H30.5
Assistant Professor, Kyushu University

Research activities

 Singularity theory
One of my main research subjects is singularity theory in mathematics. Roughly speaking, a singularity is a special point that is different from others. Singularities are important objects not only in mathematics but also in various fields of science. In particular, I am studying the geometrical properties of singularities appearing in differentiable maps, and the local properties of curves and surfaces using the tools of singularity theory.
研究活動1
研究活動2
 Applied mathematics
Researches on curves and surfaces using singularity theory can be directly applied to vision science. For example, the contour of a smooth object can be considered as the set of singularities of a projection mapping onto a plane, thus can be studied via singularity theory. Furthermore, in many cases, there is a surface structure behind various data, and the feature of the data is captured by the invariants of the surface. In particular, I believe that singularity theory is a useful tool for the discovery and analysis of feature points in data. I am also engaged in various interdisciplinary collaborative research aiming at practical research results on such applied themes of mathematics.
研究活動3
研究活動4

Educational activities

Class
Information and Data Sciences:
CalculusⅡ
Liberal Arts Education:
Introduction to Data Science, Introduction to Statistics

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