Faculty Members

LANGUAGE ≫ Japanese

Associate Professor
SAIKI Sachio

  • Gender: Male
  • Affiliation:
    - Department of Engineering, Graduate School of Enginering
    - Department of Data and Innovation
  • researchmap: https://researchmap.jp/7000005725
Areas of specialization
Laboratory/research office AI Educatioal Technology
My research focuses on the engineering approach to AI education and the use of AI to enhance educational technology.
In order to utilize AI, which requires a broad and comprehensive knowledge, I believe it is essential to systematize the knowledge required for the basics of AI such as data science and actual application development such as software engineering.
In my laboratory, we aim to establish these knowledge acquisition methods by utilizing knowledge of advanced educational technology such as AI-based learning analysis.
Current research topics
Educational background
Professional background
Academic societies The Institute of Electronics, Information and Communication Engineers
Institute of Electrical and Electronics Engineers

You can see the continuation of the table with a side swipe.


* Courses provided in English are shown with (E) mark

Undergraduate school
  • Fundamentals of data science 1
Graduate school

You can see the continuation of the table with a side swipe.

Research activities

Research papers
  1. Authors: Aoi Nagatani, Sinan Chen, Masahide Nakamura, SAIKI Sachio
    Title: Exploiting Motivation Subscales for Gamification of Lifelogging Application
    Journal: International Journal of Software Innovation, Vol. 10, No. 1, pp. 1-27, IGI Global
    Year: 2022
  2. Authors: Chisaki Miura, Sinan Chen, SAIKI Sachio, Masahide Nakamura, Kiyoshi Yasuda
    Title: Assisting Personalized Healthcare of Elderly People: Developing a Rule-Based Virtual Caregiver System Using Mobile Chatbot
    Journal: Sensors, Vol. 22, No. 10, p. 3829, MDPI AG
    Year: 2022
  3. Authors: Kosuke Hirayama, Sinan Chen, SAIKI Sachio, Masahide Nakamura
    Title: Toward Capturing Scientific Evidence in Elderly Care: Efficient Extraction of Changing Facial Feature Points
    Journal: Sensors, Vol. 21, No. 20, p. 6726, MDPI AG
    Year: 2021
  1. BCD2018 Best Paper Award, IEEE/ACIS 3rd International Conference on Big Data, Cloud Computing, Data Science & Engineering, 2018

You can see the continuation of the table with a side swipe.

Social activities

Committee roles
  1. Technical Program Committee Members, IEICE International Conference on Emerging Technologies for Communications, 2022

You can see the continuation of the table with a side swipe.