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Takato Honda, Ph.D.

Takato Honda is a data scientist in Japan. My research focuses on time-series tensor mining for IoT sensor sequences.
Contact me:

takato@melloninc.jp

Conferences (Recently)

Non-Linear Mining of Social Activities in Tensor Streams (KDD'20)
[code] [paper] [slide]
Koki Kawabata, Yasuko Matsubara, Takato Honda, Yasushi Sakurai: ``Non-Linear Mining of Social Activities in Tensor Streams”, In Proceedings of The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’20).
Multi-Aspect Mining of Complex Sensor Sequences (ICDM'19)
[code] [paper] [slide]
Takato Honda, Yasuko Matsubara, Ryo Neyama, Mutsumi Abe, Yasushi Sakurai: ``Multi-Aspect Mining of Complex Sensor Sequences”, IEEE International Conference on Data Mining (ICDM), pp. 299-308, Beijing, China, November 8-11, 2019 (Regular paper) (Acceptance ratio 9.08%).

Awards

Patents

  • [Jul. 2022]: 「情報処理装置、情報処理システム、情報処理方法、および、プログラム」, 本田 崇人, 特願2022-100926
  • [Aug. 2021]: 「情報処理システム、コンピュータシステム及びプログラム」, 本田 崇人, 特願2021-105946
  • [Aug. 2020]: 「時系列テンソルデータのための予測装置、予測方法、及びプログラム」, 川畑 光希, 松原 靖子, 本田 崇人, 櫻井 保志, 特願2020-139168
  • [Jan. 2020]:「時系列解析に基づくイベント予測装置、イベント予測方法およびプログラム」, 本田 崇人, 松原 靖子, 川畑 光希, 櫻井 保志, 特願2020-8388

Grants

Skills

  • Python, C, C++,

Experiences

  • [2022 - ]: Co-founder CTO at Mellon Inc.
  • [2021-2022]: Data scientist at JDSC Co., Ltd.
  • [2020-2021]: Specially appointed assistant professor at Osaka University
  • [2017-2020]: JSPS research fellow, DC1 (SV: Yasushi Sakurai)

Education