My research focuses on the control of transport phenomena under high magnetic fields, leveraging mechanical engineering methodologies and numerical simulations. I pioneered the development of the world’s first magnetic levitation growth method for protein crystals and am currently taking on the challenge of measuring thermophysical properties. Furthermore, I am actively engaged in medical data science using statistics and data mining, striving to visualize the underlying factors within complex medical data.

AI　Introduction to Artificial Intelligence, Computer Vision, Web Design and Programming

My research focuses on image recognition and AI-applied systems across various industrial sectors, including manufacturing and agriculture. I strive to automate visual tasks traditionally performed by humans, reduce workload, and enable capabilities that were previously impossible. Additionally, I am dedicated to researching software interfaces that are accessible and intuitive, ensuring technology is user-friendly for everyone.

My research is grounded in linguistic theory, focusing on the development of algorithms to analyze linguistic phenomena. I explore various practical applications, such as sentiment analysis of course evaluations, difficulty analysis across multiple languages, and the analysis of elementary school lessons to generate instructional advice. Additionally, I conduct research on corporate analysis leveraging financial information.

I specialize in high-performance Big Data analytics and intelligent algorithm design, built on my expertise in supercomputing (HPC) systems. By integrating operational experience with advanced computational theory, I strive to create practical, user-focused solutions for complex social challenges.

My research in cryptography focuses on building next-generation foundations resilient to the emerging threat of quantum computing. Beyond development, I emphasize the importance of theoretical and experimental security evaluations. As part of this effort, I lead the "MQ Challenge," a cryptanalysis competition focused on Multivariate Public Key Cryptography, providing a platform for security testing through our dedicated website.

There are three key pillars to my research. The first is Numerical Analysis. I work on algorithms that solve massive systems of linear equations quickly, which is vital for predicting complex phenomena. The second is developing ICT tools for education to support remote learning. And the third is Web Application Development, such as tools for physical simulations. Through these three fields, I am deepening my expertise across a wide range of technologies in Information Science and Engineering.

I implement Content and Language Integrated Learning (CLIL) with the goal of fostering students' inquiry and critical thinking skills, envisioning them using English in their specialized fields and future careers. My research investigates how this approach influences changes in students' attitudes toward English language learning. Furthermore, I am exploring instructional methodologies that enable STEM students to engage with English learning through a logical and structured approach.

Many classical statistical procedures rely on the assumption of normality. My research focuses on tests for normality, aiming to assess whether observed data are consistent with a normal distribution. In particular, I seek to integrate formal statistical tests with graphical diagnostics and to develop a systematic framework for visualizing distributional features such as skewness, kurtosis, and tail behavior.

I develop and implement novel algorithms for regression analysis, with a specific focus on variable selection across parametric and nonparametric frameworks. My goal is to apply these techniques to causal inference to better understand the underlying mechanisms and interactions within complex systems.

I research AI-driven educational support, specifically through the analysis of classroom dialogue using Large Language Models (LLMs). My work focuses on automating feedback for teachers to improve lesson quality and reduce administrative burdens. Beyond the classroom, I aim to apply these dialogue analysis techniques to a wide range of fields involving human communication.