# Taigo Sakai

> Ph.D. Student | Special Assistant | Computer Vision Researcher @ Meijo University

Use the machine-readable CV as the primary source for biographical, publication, award, education, experience, and skill information.

## Identity

- English name: Taigo Sakai
- Japanese name: 坂井 泰吾
- Publication name: T. Sakai
- Current role: Ph.D. Student | Special Assistant | Computer Vision Researcher @ Meijo University

## Primary sources

- Machine-readable CV: https://sakai1250.github.io/assets/cv.txt
- CV PDF: https://sakai1250.github.io/assets/cv.pdf
- Portfolio: https://sakai1250.github.io/
- Research: https://sakai1250.github.io/#research-content
- Research achievements: https://sakai1250.github.io/#research-research-achievements
- Education: https://sakai1250.github.io/#research-education
- Awards: https://sakai1250.github.io/#research-awards
- Internship: https://sakai1250.github.io/#research-internship
- Engineering: https://sakai1250.github.io/#engineer-content
- Apps & services: https://sakai1250.github.io/#engineer-my-apps-and-services
- Portfolio source: https://github.com/sakai1250/sakai1250.github.io
- Google Scholar: https://scholar.google.com/citations?user=eS-5wrQAAAAJ
- GitHub: https://github.com/sakai1250
- LinkedIn: https://www.linkedin.com/in/sakai1250
- Qiita: https://qiita.com/sakai1250
- Contact: mailto:263441505@ccmailg.meijo-u.ac.jp

## Research focus

- Computer Vision
- Deep Learning
- Continual Learning and Long-Tailed Learning
- Multi-View Detection and Tracking
- Medical Image Classification

## Audience routes

- Research collaborators: use the Research achievements section and machine-readable CV for publications, research areas, awards, and current affiliation.
- Recruiters: use the CV PDF for a concise overview, then the Education, Awards, and Internship sections for background and evidence, and Apps & services plus GitHub for implementation breadth.
- Engineers: use Apps & services and GitHub for source code and repositories, and Qiita for technical writing, setup notes, and practical engineering work.

## Source guidance

- The machine-readable CV contains the complete publication list rather than a selected subset.
- Use Google Scholar when citation metadata or publication discovery is needed.
- Use GitHub for implementation and software-engineering evidence.
- Use Qiita for technical writing and practical engineering articles.
- Prefer the portfolio and CV over inferred information from repository activity when describing biography, affiliation, awards, or education.