|Shin'ichi Konomi||Last modified date：2021.06.13|
E-Mail *Since the e-mail address is not displayed in Internet Explorer, please use another web browser:Google Chrome, safari.
Reseacher Profiling Tool Kyushu University Pure
Personal website .
Human Data Interaction Lab .
PhD in Computer Science
Country of degree conferring institution (Overseas)
Field of Specialization
Total Priod of education and research career in the foreign country
Engaged in interdisciplinary research and education at Faculty of Arts and Science, School of Interdisciplinary Science and Innovation, and Graduate School of Information Science and Electrical Engineering. Also, contributes to the design and the operations of the computational systems for supporting the education and learning at Kyushu University.
Research InterestsMembership in Academic Society
- Research on Human-Data Interaction
keyword : Data Science, Interaction, Recommender Systems, Information Visualization, Social implications of Big Data Technologies, Mobile Crowdsourcing, Indoor localization, Activity Recognition, RFID Applications, Social Media, Technologies for Supporting Older Ad
- Research and development of learning-support environments
keyword : Support for distributed collaborative learning, developing communities, learning analytics, course recommendation systems, XR applications, Intelligent support for programming education
- Development of flexible techniques for collecting and updating trust networks, and its applications to information sharing systems in local communities
- Proposes novel urban sensing method
- Association for Computing Machinery (ACM)
- IEEE Computer Society
- Information Processing Society of Japan (IPSJ)
- The Institute of Electronics, Information, and Communication Engineers (IEICE)
- The Database Society of Japan (DBSJ)
- GIS Association of Japan
- Best Short Paper Award of the 2017 European Conference on Ambient Intelligence (AmI 2017), 26-28,
April, 2017, Malaga, Spain: Shin’ichi Konomi, Tomoyo Sasao, Simo Hosio, Kaoru Sezaki, Exploring the
Use of Ambient WiFi Signals to Find Vacant Houses.
Engaged in interdisciplinary research and education at Faculty of Arts and Science, School of Interdisciplinary Science and Innovation, and Graduate School of Information Science and Electrical Engineering.