Research Agenda

My research focus is on data mining of time series data using machine learning or deep learning. I have experience with various themes, including interpretable pattern mining using a Graphical lasso, missing value imputation via LDS (Linear Dinamycal System), and representation learning via contrastive learning for tensor time series. I’m currently tuckling on table data imputation with LDA (Latent Dirichlet Distribution) and time series anomaly detection via diffusion model.

Short Biography

I am a Ph.D. candidate in the Sakurai & Matsubara Lab at the Department of Information Science and Technology of the Osaka University with an anticipated dissertation defense in March 2026.

I’m open for research internship roles from 2024 ~ 2025 Fall.

Educations

Ph.D. [April 2023 - present]

• Osaka University, Osaka, Japan.
• Advisor: Prof. Yasushi Sakurai (yasushi@sanken.osaka-u.ac.jp).

M.S. in Information Science [2021 - 2023]

• Osaka University, Osaka, Japan.
• Thesis: “Automatic Network Structure Detection for Time Series”.
• Advisor: Prof. Yasushi Sakurai.

B.S. in Agriculture [2016 - 2020]

• Nagoya University, Aichi, Japan.
• Thesis: “A fluorescent affinity mass tag for ligand-binding mode analysis”.
• Advisor: Prof. Masaki Kita.