Takeyuki Sasai

Takeyuki Sasai

  • Machine Learning

I am interested in the theoretical and practical aspects of the methods/algorithms. I want to develop not only practical but also theoretically beautiful methods/algorithms.

  • Department

    • Data Intelligence Platform Innovation Dept.,
      InfoTech Div.

  • Biography

    • 2019-

      Engaged in research using factory manufacturing data.

    • 2017-
      2019

      Engaged in consulting data analysis.

    • 2015-
      2017

      Engaged in office work about corporate pension.

    • 2015

      Master's Degree, Information Science and Technology, The University of Tokyo

    • 2013

      Bachelor's Degree, Mathematical Engineering,The University of Tokyo

  • Publication List/Conference presentation

    Paper

    • Network-wide traffic volume estimation using joint matrix factorization with traffic flow conservation law, IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)

    • Estimating Reduction in Travel Time Based on Large Scale Driving Data from Connected Vehicles, IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)

    • Finding Energy-Efficient and Fast Detour Routes in Unusual Traffic Events, 26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023

    • Estimating Total Traffic Volume with Statistical Modeling Approach, IEEE, ITSC 2022

    • "Robustness of Oscillatory Behavior in Correlated Networks",
      Takeyuki Sasai, Kai Morino, Gouhei Tanaka , Juan A. Almendral, Kazuyuki Aihara,
      PLOS ONE vol. 10, No. 4, e0123722, 20th, April, 2015

    • "ErdÅ‘s-Feller-Kolmogorov-Petrowsky law of the iterated logarithm for self-normalized martingales: a game-theoretic approach",
      Takeyuki Sasai, Kenshi Miyabe, Akimichi Takemura,
      The Annals of Probability, accepted

    Invited Conference presentation / Lecture

    • A once-in-a-century period of great change: Data analysis and outlook in the connected domain, Graduate School of Information Science and Technology, DSS Symposium, 2022

  • Commendation/Memberships

    • Best Presentation Award of Japanese Society of Applied Statistics 3/2015

Members List