Kenji Shinoda

Kenji Shinoda

  • Data Science

I want to uncover the laws and order of human behavior from connected cars traveling around the world, and by integrating these insights into our products, contribute to improving usability and upgrading everyday life for all.

  • Department

    • Data Intelligence Platform Innovation Dept.,
      InfoTech Div.

  • Biography

    • 2024-

      Toyota Motor Corporation

    • 2021-
      2023

      DOCOMO InsightMarketing, Inc.
      Developed new functions for "Mobile Spatial Statistics", a demographic service in Japan

    • 2016-
      2021

      NTT DOCOMO, Inc.
      Worked in the R&D department, applying machine learning techniques to service logs and location information for growth hacking

    • 2014-
      2016

      Graduate School of Arts and Sciences, University of Tokyo
      Researched the statistical mechanical features of chaotic dynamical systems on networks

    • 2010-
      2014

      Faculty of Science, Kyoto University

  • Publication List/Conference presentation

    Publication List

    • Leveraging Hybrid Embeddings and Data Augmentation for Identifying Significant References, KDD Cup Workshop / The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’24), 2024

    • Analyzing Population Flows Using Mobile Spatial Statistics and Contributions to Society During the COVID-19 Pandemic, New Breeze Summer, 2023

    • Prediction of Restaurant Sales during High Demand States Using Population Statistical Data, Thirteenth International Conference on Mobile Computing and Ubiquitous Network, 2021

    • Chaotic Griffiths Phase with Anomalous Lyapunov Spectra in Coupled Map Networks, Physical Review Letters, 2016

    Others

    • PWS Cup 2024, Information Processing Society of Japan, Computer Security Symosium 2024

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