For various industrial fields including manufacturing and agriculture, I’m conducting researches on software that uses image recognition technology supports visual tasks or does them instead of people.
I’m also conducting research into software that assists in distinguishing colors and detecting specific color areas for various people including people with color vision deficiency, based on human color vision characteristics.

While using mechanical engineering (fluid dynamics, thermal engineering), applied physics (magneto science), and econometrics, I am conducting research on material informatics that integrates engineering and informatics. Practically, I analyze medical data using the methods of data mining and multivariate analysis. In the field of magneto science, I progress a technology called a “magnetic force booster” and succeeded in realizing a completely containerless protein crystal growth (see the photos). By the use of a magnetic levitation technique, I have also established in measuring the thermal properties of protein crystals.

My research focuses on applying artificial intelligence (AI) and natural language processing (NLP) technologies to educational support. I analyze the dialogue between teachers and students in elementary school classrooms and develop AI systems to assist teachers. Furthermore, I am researching techniques for generating advice for teachers using large language models (LLMs) and generating comments aimed at programming education. Additionally, I am developing dialogue models that consider the characteristics of the speaker, aiming for applications not only in the educational field but also in various industrial sectors, such as corporate human resource development.