Assistant Professor
Department of Industrial Engineering and Economics
School of Engineering
Tokyo Institute of Technology
東京工業大学 工学院 経営工学系 助教

Last updated / 最終更新日: Oct 2, 2023

About Me / 自己紹介

I am an assistant professor in School of Engineering, Tokyo Institute of Technology (Tokyo Tech). Before comming to Tokyo Tech, I spent seven years working as an industrial researcher at Fujitsu. Currently, I’m interested in modeling techniques and algorithms on mixed-integer optimization and related problems. In particular, solving mixed-integer conic optimization problems is one of my ongoing research projects. I am also interested in applications of mathematical optimization to other engineering fields such as machine learning, production planning, and so on.


Google Scholar / Semantic Scholar / ResearchGate / Researchmap

News / 近況

  • Aug 7, 2023: Our paper has been accepted to PRICAI 2023:
    • M. Higashi, M. Sung, D. Yamane, K. Inamuro, S. Nagai, K. Kobayashi, and K. Nakata: Decision tree clustering for time series data: an approach for enhanced interpretability and efficiency, The 20th Pacific Rim International Conference on Artificial Intelligence.
  • July 7, 2023: Our paper has been accepted to a workshop at KDD 2023:
    • K. Oh, N. Nishimura, M. Sung, K. Kobayashi, and K. Nakata: An IPW-based unbiased ranking metric in two-sided markets. Causal Inference and Machine Learning in Practice, Workshop at KDD 2023.
  • May 1, 2023: Our new preprint has been available:
    • K. Kanamori, T. Takuya, K. Kobayashi, and Y. Ike: Counterfactual explanation with missing values. arXiv preprint, arXiv:2304.14606 (2023).

Research Interests / 研究の興味

  • Mixed-integer Optimization / 混合整数最適化
  • Conic Optimization / 錐最適化
  • Mathematical Optimization / 数理最適化
  • Operations Research / オペレーションズ・リサーチ

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