Yasuaki Hiraoka (Ph.D.)
Title
Team Leader

Members

  • Team leader
    Yasuaki Hiraoka
  • Research scientist
    Ippei Obayashi
  • Special postdoctoral researcher
    Yasuhiko Asao
  • Technical Staff I
    Ken Nakashima
  • Visiting scientist
    Michio Yoshiwaki
  • Visiting scientist
    Emerson Gaw Escolar
  • Visiting scientist
    Tomoyuki Shirai
  • Visiting scientist
    Kazunori Hayashi

Introduction

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

Introduction Video

Poster(s)
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