Yasuaki Hiraoka
Yasuaki Hiraoka (Ph.D.)
Team Leader


  • Team leader
    Yasuaki Hiraoka
  • Postdoctoral researcher
    Ken Nakashima
  • Postdoctoral researcher
    Jun Yoshida
  • Visiting scientist
    Kazunori Hayashi
  • Visiting scientist
    Tomoyuki Shirai
  • Visiting scientist
    Emerson Escolar
  • Visiting scientist
    Michio Yoshiwaki
  • Visiting scientist
    Ippei Obayashi
  • Visiting scientist
    Yasuhiko Asao
  • Junior research associate
    Chenguang Xu


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

Introduction Video

AIP Open Seminar #2: Topological Data Analysis Team (PI: Yasuaki Hiraoka) thumbnails

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