Updated on 2026/06/02

写真a

 
HIDAKA KAZUYOSHI
 
Organization
Tokyo Tech Academy of Energy and Informatics Specially Appointed Professor
Title
Specially Appointed Professor
Profile
Dr. Kazuyoshi Hidaka is professor of School of Environment and Society, Tokyo Institute of Technology, Fellow of Information Processing Society of Japan, member of technology board of New Energy and Industrial Technology Development Organization (NEDO), Program Advisor of Research Institute of Science and Technology for Society (RISTEX) in Japan Science and Technology Agency (JST), board member of Society for Serviceology, of member of the IEEE, member of Information Processing Society of Japan, and member of Operations Research Society of Japan.

He holds a D.Sc. degree, completed a graduate course in energy science at the Graduate School of Tokyo Institute of Technology in March 1984, and obtained a dissertation doctorate in science from Waseda University's Graduate School in March 1996.

He had worked for IBM Research ? Tokyo, since 1984 through 2009, and led research projects in optimization technology, discrete algorithms, mathematical science, business solutions, computational organization theory, and service science. Following an assignment to IBM’s Watson Research Center in the U.S., returned to the IBM Research ? Tokyo and had been the senior manager of business services research. He had been the member of global leadership team of Service Science, Management, and Engineering (SSME) in IBM, and lead global and Japanese strategy of service science in IBM. He was Professor of School of Knowledge Science, Japan Advanced Institute of Science and Technology since August 2009 thorough September 2010.
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Research Areas

  • Informatics / Web informatics and service informatics

Research Projects

  • 需要家の行動変容に影響を与える要因に関する基礎的研究

    Grant number:13418025  2013 - 2014

    科学技術振興機構  戦略的な研究開発の推進/戦略的創造研究推進事業/CREST

    日高 一義

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    電力の節約や有効な利用を促進するために、需要家(消費者)にどのような情報やリコメンデーションをどのような形で提供すれば、電力の使用量や使用時間帯を変えられるかについて、実際のデータを解析して知見を蓄積し、効果的な情報の内容と示し方を見出します。北九州市などを実験場所とし、電力消費実績やアンケート、各種センサーで取得するデータ、提示したリコメンデーションなどを再利用しやすい形でコンピュータに蓄積し、それらを活用する方法を構築します。

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