RepresentativeTakashi Onoda 
(Department of Industrial and Systems Engineering)
Project Priod:April 1, 2023~March 31, 2028
  • MEMBERS ※As of April 2023
    Department of Industrial and Systems Engineering
    Professor Takashi Onoda (Representative)
    Professor Syohei Ishizu
    Professor  Noritomo Ouchi
    Professor  Satoshi Kumagai
    Professor  Yousuke Kurihara
    Professor  Shao Chin Sung
    Professor Toshiyuki Matsumoto
    Professor  Hajime Mizuyama 
    Associate Professor  Kazuhiro Kobayashi
    Assistant Professor Takashi Ito
    Assistant Professor Kaoru Kuramoto 
    Assistant Professor Shota Suginouchi
    Assistant Professor ZHAO Xiaowen
    Assistant Professor Yuri Hamada
  • OVERVIEW
     Currently, personal medical information is stored as electronic medical records, and is continuously stored as a big data. In the energy industry such as gas and electric power, sensor information is continuously stored as a big data to grasp the operating state of the plant. Computers needs to efficiently convert the big data into information that is valuable to humans, and humans needs to return this information to computers as knowledge. To achieve the two things, we have studied the feasibility of “Ultra AI” that exceeds the conventional artificial intelligence (AI). Based on the results of this project, this research project aims to expand and deepen the application of machine learning (AI) to industrial and systems engineering research field.