Masaaki Inoue

Masaaki Inoue

  • Statistical Analysis
    Data Mining
    Complex Networks

A shift in perspective can sometimes reveal simple and beautiful relationships in complex data. I would like to build the foundations of things that actually RUN, with such a philosophy.

  • Department

    • Connected Company
      Connected Advanced Development Div.
  • Biography

    Ph.D. (Informatics)

    • 2022-

      Toyota Motor Corporation

    • 2022

      Received his Ph.D. in informatics from Department of Systems Science, Graduate School of Informatics, Kyoto University

    • 2020-

      Junior Research Associate at the RIKEN Center for Advanced Intelligence Project

    • 2019

      Received his master’s degree in informatics from Department of Systems Science, Graduate School of Informatics, Kyoto University

    • 2017

      Received his B.E. degree from Faculty of Engineering, Kyoto University

  • Publication List/Conference presentation


    • Yong, J., Wakabayashi, Y., Okayasu, A., Miki, R., Sasai, T., Inoue, M., & Fukushima, S. (2022). Estimating Total Traffic Volume with Statistical Modeling Approach. In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), pp. 304-309, IEEE.

    • Inoue, M., Pham, T., & Shimodaira, H. (2022). A Hypergraph Approach for Estimating Growth Mechanisms of Complex Networks. IEEE Access, 10, 35012-35025.

    • Inoue, M., Pham, T., & Shimodaira, H. (2020). Joint Estimation of Non-parametric Transitivity and Preferential Attachment Functions in Scientific Co-authorship Networks. Journal of Informetrics, 14(3), 101042.

    • Inoue, M., Hayashi, K., Mori, H., & Nabetani, T. (2018). A DOA Estimation Method With Kronecker Subspace for Coherent Signals. IEEE Communications Letters, 22(11), 2306-2309.

    • Inoue, M., Pham, T., & Shimodaira, H. (2018). Transitivity vs Preferential Attachment: Determining the Driving Force Behind the Evolution of Scientific Co-Authorship Networks. In Proceedings of International Conference on Complex Systems, ICCS 2018: Unifying Themes in Complex Systems IX, pp. 262-271, Springer.

    Invited Talk

    • Inoue, M., Network-based regression model for traffic volume estimation problem with connected car data. Waseda Seminar on High-dimensional Statistics, Waseda Research Institute for Science and Engineering, Institute for Mathematical Science, 2022, Dec.