Musashino University Graduate Students Presented at IEEE IES 2025, Won Best Paper Award
Two graduate students from Musashino University's Graduate School of Data Science (MUDS) presented their research at IEEE IES 2025, with master's student Suzuto Kirishima winning the Best Paper Award. This achievement demonstrates the international excellence of our students as we prepare for the launch of the new International Data Science Faculty (MIDS) in April 2026.
Research Presentation by Takahiro Kubo (3rd Year Doctoral Student)
Kubo presented groundbreaking research on developing a diagnostic support system for nurses. His study aimed to systematically formalize the relationship between two nursing frameworks - "Gordon's Functional Health Patterns" and "NANDA-I" - which have traditionally relied on individual nurses' experience and intuition.
Using natural language processing (NLP) techniques, Kubo proposed a method to systematically map the assessment framework "Gordon's FHP" with the diagnostic classification "NANDA-I." His research demonstrated that SBERT-based semantic understanding models outperformed conventional keyword-based approaches.
"At the conference, I had meaningful exchanges with researchers, particularly regarding the evaluation methods of my research," Kubo reflected. "Building on this experience, I aim to further develop my research toward constructing practical nursing diagnostic support systems."
Best Paper Award Winner: Suzuto Kirishima (2nd Year Master's Student)
Kirishima won the Best Paper Award for his research titled "A Social Impact Calculation and Visualization Method for the Discontinuation of Public Transportation," which proposed an innovative approach to calculate and visualize the social impact of public transportation service discontinuation on local communities.
The research utilized GIS (Geographic Information Systems) and open data to combine information on railway stations, bus stops, population distribution, and historical discontinuation cases. This enabled the visualization of transportation conditions and high-impact areas resulting from route closures on maps.
Through empirical validation using data from 245 municipalities in the Kansai region, the study successfully visualized the characteristics of communities along transportation lines and identified areas with limited transportation options. The research revealed that mountainous areas with high elderly populations are particularly vulnerable to public transportation discontinuation.
"I am deeply honored to receive the Best Paper Award and extremely grateful to the professors who provided me with this valuable opportunity," Kirishima said. "Since this research evolved from a graduate course assignment and I had only recently begun working on it, I was honestly anxious about the feedback I would receive. I was therefore both surprised and delighted by this recognition."
He continued, "Through the preparation, presentation, and interactions with professors and local students, I gained a renewed appreciation for the importance and excitement of taking on new challenges. I also strongly felt the significance of communicating my work to external audiences. I want to apply the insights and realizations I gained here not only to my upcoming master's thesis but throughout my entire future career."
Vision for the International Data Science Faculty (MIDS)
These achievements demonstrate the international quality of data science education and research at Musashino University. The International Data Science Faculty (MIDS), scheduled to launch in April 2026, aims to further accelerate the development of such outstanding researchers and practitioners in collaboration with the Asia AI Research Institute (AAII).
Both research projects - from nursing diagnostic support to regional transportation policy - showcase the importance of applying data science to diverse social challenges and implementing data-driven solutions in real-world contexts. Moving forward, MIDS, MUDS, and AAII will work together as an integrated unit to create an environment where internationally recognized research outcomes continue to emerge.
Through world-class data science education and research, we remain committed to developing human resources who can contribute to solving social challenges and fulfilling our mission to make the world a better place through the power of data science. These achievements represent just the beginning of our journey toward becoming a global leader in data science innovation and social impact.
The success of our current graduate students provides a strong foundation as we prepare to welcome the first cohort of MIDS students, who will join this tradition of excellence and international recognition in data science research and application.
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Contact: Asia AI Research Institute, Musashino University 〒135-8181 3-3-3 Ariake, Koto-ku, Tokyo, Japan Musashino University Ariake Campus Associate Professor Yusuke Takahashi yusuke@ds.musashino-u.ac.jp
