Rchr
J-GLOBAL ID:200901093557592624   Update date: Jan. 17, 2024

Itoh Hideaki

イトウ ヒデアキ | Itoh Hideaki
Affiliation and department:
Job title: Assistant Professor
Homepage URL  (1): http://www.brn.dis.titech.ac.jp/~hideaki/index.html
Research field  (2): Neuroscience - general ,  Intelligent informatics
Research theme for competitive and other funds  (6):
  • 2015 - 2019 部分観測マルコフ決定過程理論に基づく発達尺度の模倣関連タスクの包括的実現
  • 2012 - 2016 部分観測マルコフ決定過程理論に基づく発達尺度の言語関連タスクの包括的実現
  • 2007 - 2011 部分観測マルコフ決定過程理論に基づく高次脳機能の自動的かつ高速な実装
  • 2003 - 2006 報酬最大化原理および大脳基底核モデルによるゴール指向性推論機能の自動的実装
  • 2002 - 2003 確率的推論過程の脳内神経回路モデルとサル前頭葉の神経活動計測
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Papers (58):
  • Takahide Itokazu, Masashi Hasegawa, Rui Kimura, Hironobu Osaki, Urban-Raphael Albrecht, Kazuhiro Sohya, Shubhodeep Chakrabarti, Hideaki Itoh, Tetsufumi Ito, Tatsuo K Sato, et al. Streamlined sensory motor communication through cortical reciprocal connectivity in a visually guided eye movement task. Nature communications. 2018. 9. 1. 338-338
  • Hiroshi Wakuya, Ryoki Nishimura, Hideaki Itoh, Nobuo Mishima, Sang-Hoon Oh, Yong-Sun Oh. An application of genetic algorithm to evacuation route planning for ICT-based disaster prevention design aiming at real-world implementation. 2017. 8. 11
  • Hiroshi Wakuya, Ryoki Nishimura, Hideaki Itoh, Nobuo Mishima, Sang Hoon Oh, Yong Sun Oh. An application of genetic algorithm to evacuation route planning for ICT-based disaster prevention design aiming at real-world implementation. ICIC Express Letters, Part B: Applications. 2017. 8. 11. 1537-1544
  • Hideaki Itoh, Yoshitaka Sakai, Toru Kadoya, Hisao Fukumoto, Hiroshi Wakuya, Tatsuya Furukawa. Using model uncertainty for robust optimization in approximate inference control. Artificial Life and Robotics. 2017. 22. 3. 327-335
  • Hiroshi Wakuya, Yu Horinouchi, Hideaki Itoh, Hisao Fukumoto, Tatsuya Furukawa. An analysis of multi-dimensional data containing emphasized items by self-organizing map and its application to sightseeing information analysis. 2017. 21. 12
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MISC (58):
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Lectures and oral presentations  (211):
  • Information visualization by SOM with a filter for establishing a compact representation based on specific aspects
    (2019)
  • Development of a motion imitation system for a humanoid robot using sound localization and dialog
    (2019)
  • Information visualization based on extracting specific items by self-organizing map
    (2018)
  • On optimization of action sequences using learning in a robot for pointing at pictures
    (2018)
  • On optimization of action sequences using learning in a robot for copying drawings
    (2018)
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Education (3):
  • - 2002 The University of Tokyo
  • - 2002 The University of Tokyo Graduate School, Division of Engineering
  • - 1997 The University of Tokyo The Faculty of Engineering Department of Mathematical Engineering and Information Physics
Professional career (1):
  • Ph. D. (The University of Tokyo)
Work history (6):
  • 2017/04 - 現在 Saga University
  • 2010/04 - 2017/03 Saga University
  • 2009/11 - 2010/03 Saga University
  • 2007/04 - 2009/10 Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering
  • 2002/04 - 2007/03 Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering
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Committee career (1):
  • 2011/04 - 2013/03 日本知能情報ファジィ学会九州支部 幹事
Awards (3):
  • 2018/09 - 日本知能情報ファジィ学会 貢献賞
  • 2017/09 - 日本知能情報ファジィ学会 貢献賞
  • 2017/03 - 日本知能情報ファジィ学会九州支部 年次貢献賞
Association Membership(s) (7):
THE ROBOTICS SOCIETY OF JAPAN ,  THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE ,  JAPAN SOCIETY FOR FUZZY THEORY AND INTELLIGENT INFORMATICS ,  日本神経回路学会 ,  Japan Neuroscience Society ,  Society for neuroscience ,  Japanese Neural Network Society
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