My research directions are urban disaster risk reduction, social resilience, and community resilience. The research focuses on the combination of the humanities and natural sciences, and the integration of different research fields such as disaster education and economics, which contributes to improving the social resilience to urban disasters in Japan. For my career prospects, I hope to work in the disaster research institute in Japan or non-governmental organization such as the United Nations Office for Disaster Risk Reduction.

私は、ソプラノ歌手として、演奏活動を行いながら、どうしたら歌が上手くなるのかを科学的に解明するための研究を行なっています。これまでに歌唱の音響解析を行い、導き出された定量的な数値と、プロの歌手や指導者による主観的な演奏評価の関連性を明らかにし、国際学会での発表を行いました。人の心に響く歌を歌うための方法を解明し、私の研究が自身の歌だけでなく、声楽教育に活かしていけるよう努力を続けていきたいです。

My research explores innovative solutions in the food and water system, linking urban and rural areas from a disaster resilience perspective. Delving into disaster resilience through a robust food and water system, my findings aim to contribute significantly to all developing countries and cities. Looking ahead, my career prospects center around the food and water sector, driven by a passion for enhancing sustainability and disaster preparedness. With a solid foundation in research, analytical skills, and a commitment to resilience, I am poised to make meaningful contributions to the advancement of disaster-resilient food and water systems.

To effectively apply AI technology in the real world, AI models must continuously learn and grow by integrating new information while leveraging past knowledge. My research is Continual Learning and it aims to enable AI models to learn continuously in such environments. Specifically, I focus on the “Replay method”, akin to human note-taking, where a portion of learned data is retained for future learning. I investigate how much data should be retained for effective ongoing learning. Ultimately, I aim to apply this technology for societal benefit, contributing to the overall digitalization of society, including small-scale organizations and communities.

私は、研究者としてのキャリアを考えており、社会問題解決型の研究者として生きたい。
慶應義塾大学のJSTは、文理融合や分野横断型を重視しており、私がSFCで学んできた考え方と全く同じである。SFCでは「問題発見・問題解決」を重視している。社会問題が起きれば、それを分析し、真の問題点を明かす。そして、分野を超えて知見を総動員し、解決に導く。私は、分野の垣根を超えて、社会問題解決型の人材として、キャリアを築きたい。