Naoki Ito

  • Fast Retailing Co., Ltd.
  • E-mail: napinocoatgmail.com (Previous addresses: naoki_ito mist.i.u-tokyo.ac.jp, pico a8.keio.jp)

Employment

  • Data Scientist
    • Digital Business Transformation Services, Fast Retailing Co., Ltd.
    • March 2020 - now.
  • Data Scientist
    • Global Supply Chain Management, Fast Retailing Co., Ltd.
    • April 2018 - February 2020.
  • Research Fellow
    • Japan Society for the Promotion of Science
    • April 2017 - March 2018.
  • Research Assistant
    • Graduate School of Information Science and Technology, The University of Tokyo
    • April 2016 - March 2017.
  • Research Assistant
  • Research Member

Education

  • Ph.D. in Information Science and Technology
    • Graduate School of Information Science and Technology, The University of Tokyo, Japan
    • April 2015 - March 2018.
  • Research Student
    • Institute of Statitical Mathematics, Japan
    • April 2017 - March 2018.
  • M. Eng.
    • Graduate School of Science for Open and Environment Systems, Keio University, Yokohama, Japan
    • April 2013 - March 2015.
  • Special Research Student
    • Graduate School of Information Science and Technology, The University of Tokyo, Japan
    • April 2013 - March 2014.
  • B. Eng. Summa Cum Laude
    • Department of Administration Engineering, Keio University, Yokohama, Japan
    • April 2009 - March 2013.

Published works

Software

Refereed Journal Papers

Refereed Conference Proceedings

Preprints/Technical Reports

Talks

  • N. Ito, S. Kim, M. Kojima, A. Takeda, and K.-C. Toh: "A Stable Lagrangian DNN Relaxation Method for Polynomial Optimization Problems," SIAM Conference on Optimization, Vancouver, Canada, May 2017.
  • N. Ito, A. Takeda, and K.-C. Toh: "Fast Accelerated Proximal Gradient Method and Its Application to Unified Binary Classification," the Fifth International Conference on Continuous Optimization (ICCOPT 2016), Roppongi, Tokyo, Japan, August 2016.
  • N. Ito, A. Takeda, and K.-C. Toh: "Unified Binary Classification Algorithm based on Practical Accelerated Proximal Gradient Methods," the 22nd International Symposium on Mathematical Programming (ISMP 2015), Pittsburgh, Pennsylvania, U.S., July 2015.
  • N. Ito, A. Takeda, and T. Namerikawa: "Convex Hull Pricing for Demand Response in Electricity Markets," Proceedings in the 4th IEEE International Conference on Smart Grid Communications (SmartGridComm), Vancouver, Canada, October, 2013.
  • and talks in Japanese.

Honors and Awards

  • Award for Research Excellence - Graduate School of Science for Open and Environment Systems, Keio University, March 2015
  • Graduating summa cum laude - Keio University, March 2013