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Teacher Information (Degree and Achievements)
Teacher Details
SHIRAHAMA Naruki
SHIRAHAMA Naruki
- Affiliation
- Faculty of Data Science Department of Data Science
- Job rank
- Professor
- Position
Researcher Information
Area of expertise
Sensitivity Informatics, Sensitivity Measurement Evaluation, Subjective Information Processing, Soft Computing, Data Science
Courses in charge
Programming I, Introduction to DS Programming, Introduction to Artificial Intelligence, DS Project, Colokiam II, Sensitivity Data Processing, Graduation Research
Educational background
Graduated from the Department of Electrical Engineering, Kyushu Institute of Technology, March 2000.
March 1995 Master's degree in Electrical Engineering, Graduate School of Engineering, Kyushu Institute of Technology
March 1993 Graduated from the Department of Electrical Engineering, Faculty of Engineering, Kyushu Institute of Technology.
Acquired degree
Ph.D. (Engineering)
Affiliated Society
Institute of Biomedical Fuzzy Systems, Japan Society of Intelligence and Information Technology, Japan Society of Sensibility Engineering, Society of Artificial Intelligence Engineering, Society of Industrial Applications, Society of Welfare Engineering, Society of Information Processing, Society of Emotional Psychology, Institute of Electrical and Electronics Engineers
Research Keywords
Subjective information processing, Visual Analog Scale, quantification of conversation nuances, cerebral blood flow measurement, clustering, machine learning, data visualization
R, Python, Julia
Current research theme
Main research results and activities
# Journals (reviewed, first author, responsible author)
[1] Naruki Shirahama et al.,Proposal for Quantification and Analysis Method of Nuances in Conversation Responses using Visual Analog Scale,ICIC Express Letters, Part B: Applications 15(1), pp.71-81, 2024. DOI: 10.24507/icicelb.15.01.71
[2] Naruki Shirahama et al.,Effects of Background Music on Work Efficiency: Cerebral Blood Flow and Subjective Evaluation,Journal of the Institute of Industrial Applications Engineers, 11(4), pp.89-95, 2023. DOI: 10.12792/JIIAE.11.89
[3] Naruki Shirahama et al.,Sensory Amount Measurement Experiment to Validate the Accuracy of the VAS Measurement Method, Journal of the Institute of Industrial Applications Engineers, 10(4), pp.90-96, 2022. DOI: 10.12792/JIIAE.10.90
[4] Naruki Shirahama et al.,Effects of RST with Different Linguistic Working Memory on Cerebral Blood Flow in Forehead, ICIC Express Letters, Part B: Applications, 13(1), pp.21-28, 2021. DOI: 10.24507/icicelb.13.01.21
[5] Naruki Shirahama et al.,A New Method of Subjective Evaluation Using Visual Analog Scale for Small Sample Data Analysis, Journal of Information Processing, Vol.29, pp.424-433, 2021. DOI: 10.2197/IPSJJIP.29.424
[6] Naruki Shirahama et al.,Development of VAS App to Improve Youth Mental Health Research Environment, ICIC Express Letters, Part B: Applications, 7(9), pp.1939-1944, 2016. DOI: 10.24507/icicelb.07.09.1939
# Proceedings (reviewed, first author, responsible author)
[7] Naruki Shirahama et al., An Analysis of the Effects of Background Music on Work Efficiency: Using Cerebral Blood Flow Measurement and Subjective Evaluation, The Proceedings of The 10th International Conference on Intelligent Systems and Image Processing 2023, pp.218-224, 2023. DOI: 10.12792/icisip2023.042
[8] Sherman Chan, Nami Imanishi, Satoshi Watanabe, Naruki Shirahama, A Proposal of an Experimental Method for Quantifying Impressions Using Visual Analog Scale, Proceedings of the 9th IIAE International Conference on Intelligent Systems and Image Processing 2022, pp.46-52, 2022. DOI: 10.12792/icisip2022.010
# Commendation
(November 2020) Best Paper Award of the Year 2020, Biomedical Fuzzy Systems Society
(November 2018) Contribution Award, Society of Biomedical Fuzzy Systems
Best Presentation Award, The 5th IIAE International Conference on Intelligent Systems and Image Processing, 2017
(March 2015) Annual Contribution Award, Kyushu Branch of the Japan Intellectual Information Society
(November 2014) Best Paper Award for Best Paper in 2014, Society of Biomedical Fuzzy Systems
(November 2012) 2012 Excellent Paper Award, Society of Biomedical Fuzzy Systems
(August 2008) Minister of Education, Culture, Sports, Science and Technology Award "Development of e-Learning Creativity Education Course by Contemporary GP"
(August 2008) National College of Technology Information Processing Education and Research Committee Award
Contracted results of scientific research expenses
[1] Research contributors (2024–2027) Medical management and medical sociology-related "Development of an uninhibited needle detection system during hemodialysis treatment using AI technology" Research contributors (2024–2027)
[2] Grant-in-Aid for Scientific Research (C) Children's Studies "Basic Research on Support Systems for Health Consultation Activities with a Focus on Communication" Research Contributors (2016–2018)
[3] (2008–2010) Research Representative for Educational Engineering “Research on Software Contests Utilizing e-Learning” (2008–2010)
[4] KAKENHI Grant-in-Aid for Scientific Research (C) Educational Engineering "Research on the Development of a Collaborative Education System based on Open Source" Research Contributor (2007–2008)
[5] KAKENHI Fundamental Research (C) Science Education "Research on the Construction of Open Platforms for Education" Research Contributors (2005–2006)
[6] Grant-in-Aid for Scientific Research (A) Intellectual Informatics "Research on the Construction of Sensibility Information Processing Systems Based on Subjective Observation Model Theory" (1998–1999)
Others (lectures, appearances, committee members, etc.)
・Councilor of the Society for Biomedical Fuzzy Systems (from 2020 to present)
・Recurrent Education “How to Use Excel Functions and Use Skills Up Course” (2024)


Social Activities
Response to SDGs