RepresentativeTakashi Onoda 
(Department of Industrial and Systems Engineering)
Research Period:April 1, 2023~March 31, 2028
  • MEMBERS ※As of April 2024 (Click here for previous members)
    Department of Industrial and Systems Engineering
    Professor Takashi Onoda (Representative)
    Professor Noritomo Ouchi
    Professor Satoshi Kumagai
    Professor Yousuke Kurihara
    Professor Shao Chin Sung
    Professor Toshiyuki Matsumoto
    Professor Hajime Mizuyama 
    Associate Professor Kazuhiro Kobayashi
    Associate Professor Fumiaki Saitoh
    Assistant Professor Godai Azuma
    Assistant Professor Takashi Ito
    Assistant Professor Kaoru Kuramoto 
    Assistant Professor Shota Suginouchi
    Assistant Professor Naoki Takahashi
    Assistant Professor ZHAO Xiaowen
    Assistant Professor Takumi Nakano
  • 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.