Published multiple journal papers, such as 'Approximate Spectral Decomposition of Fisher Information Matrix for Simple ReLU Networks' (Neural Networks, 2023), 'An Improved Analysis of Least Squares Superposition Codes with Bernoulli Dictionary' (Japanese Journal of Statistics and Data Science, 2019), etc. Also presented at several international conferences, including 'Synthesis of Three-dimensional (3D) Multi-contrast Brain Tumor Images with Controlled Tumor Properties Using Generative Models' (Proc. Intl. Soc. Mag. Reson. Med, 2025).
Research Experience
Assistant Professor at the Mathematical Engineering Laboratory, Faculty of Information Science and Electrical Engineering, Kyushu University.
Education
2022, Dr.Eng., Graduate School of Information Science and Electrical Engineering, Kyushu University, Japan. Thesis: Some Studies on Linear Regression Problems in Sparse Superposition Codes and Neural Network.
Background
Assistant Professor at the Faculty of Information Science and Electrical Engineering, Kyushu University. Research interests include information theory (coding theory, MDL principle) and machine learning theory (neural networks). Wrote a review paper on sparse superposition codes (July 2023).
Miscellany
Presented research findings at various academic conferences, such as IBIS2021, Mathematics for Innovation in Telecommunications Technology, MIRAI2.0 Research & Innovation Week 2022, etc.