Yasuaki Hiraoka (Ph.D.)
Title
Team Leader
Members
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Team leaderYasuaki Hiraoka
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Postdoctoral researcherKen Nakashima
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Postdoctoral researcherJun Yoshida
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Visiting scientistKazunori Hayashi
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Visiting scientistTomoyuki Shirai
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Visiting scientistEmerson Escolar
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Visiting scientistMichio Yoshiwaki
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Visiting scientistIppei Obayashi
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Visiting scientistYasuhiko Asao
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Junior research associateChenguang Xu
Introduction
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
Persistent Homology
Laboratory Website URL
RIKEN Website URL
Introduction Video
Poster(s)
- FY2019 Research Results (Japanese version)
- FY2018 Research Results (Japanese version)
Related posts
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