Yasuaki Hiraoka (D. Sci.)
Team Leader


  • Team Leader
    Yasuaki Hiraoka
  • Research Scientist
    Ippei Obayashi
  • Research Scientist
    Michio Yoshiwaki
  • Postdoctoral Researcher
    Emerson Gaw Escolar
  • Postdoctoral Researcher
    Shunsuke Saito
  • Visiting Scientist
    Kazunori Hayashi
  • Visiting Scientist
    Tomoyuki Shirai


Laboratory's photo

Topological data analysis (TDA) is an emerging concept of data analysis for characterizing shape of data. In particular, it provides a tool called the persistent homology that extracts multiscale topological features embedded in data. Our team studies theory and algorithm on persistent homology based on representation theory, probability theory, machine learnings, and inverse problems. We also apply TDA into scientific and engineering problems such as materials science, life and medical science, meteorology, and economics.

Main Research Field
Research Field
Materials Sciences / Computer Science / Multidisciplinary
Research Subjects
Topological Data Analysis
Persistent Homology
Laboratory Website URL

[Poster] FY2018 Research Results (Written in Japanese)

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