Takatomo Torigoe

Takatomo Torigoe

  • Machine Learning

I will develop systems in a complex world with three kinds of languages: mathematical formula for data, programming languages for machines, and natural languages for people.

  • Department

    • Data Intelligence Platform Innovation Dept.,
      InfoTech Div.
  • Biography

    • 2020-

      Research traffic flow analysis from connected cars, and multi-agent simulation of cities.

    • 2019

      Support machine learning processes in factories.

    • 2016-
      2019

      Developed data platforms and machine learning systems for online display advertisements at CyberAgent Inc.

    • 2012-
      2016

      Developed wireless network simulators at Kozo Keikaku Engineering Inc.

    • 2009-
      2012

      Studied mathematical science at the graduate school of the University of Tokyo. The master thesis topic is a type system for delimited continuation in programming languages.

  • Publication List/Conference presentation

    Publication List

    • Traffic impact analysis collaborate with Private Probe Data during the expressway closure period, ITS Japan, ITS Symposium 2024

    • Visualization of the traffic situation around the closure section of the expressway for rational traffic management during the closure period, ITS Japan, ITS Symposium 2024

    • Safety evaluation using mixed traffic simulation of pedestrians and PMVs, ERTICO - ITS Europe, The 30th ITS World Congress in Dubai

    • Distributed Trajectory Clustering on MapReduce Model with Fixed Operations for Trajectory Similarity, The Database Society of Japan, Forum on Data Engineering and Information Management (DEIM2023)

    Conference Presentation

    • Trajectory cluster analysis with curve similarity, CARTO, Pacific Spatial Solutions, Spatial Data Science Bootcamp

    • Let's Simulate a Quantum Computer with Pretty Scala, ScalaMatsuri 2018

  • Commendation/Memberships

    • Noguchi Prize(1st), IPSJ Dicomo2024 Symposium

  • OSS Development