Portrait of Toma Okugawa speaking on stage

Toma Okugawa · Student researcher, NIT Yuge College

Making cameras see in the dark, and phones understand human motion.

I’m Toma Okugawa, a third-year student at the National Institute of Technology, Yuge College, on an island in the Seto Inland Sea. I work on training-free low-light image enhancement (Retinex), real-time pose estimation that runs on the device in front of you, and small language models for regional data, and on turning that research into products through two student ventures, Beacon and Kyudo AI.

Now

A snapshot of what I’m working on, as of September 2026.

  • Preparing my talk for IEEE GCCE 2026 in October, on re-defining Japan’s “vanishing municipalities” with multidimensional clustering and small language models, joint work with Keito Inoshita of Kansai University.
  • Getting Beacon, our fully offline edge-AI inspection system for dark environments, ready for Kigyoka Koshien, NICT’s national student startup competition, in March 2027.
  • Taking Kyudo AI, the smartphone-only kyudo coaching app, from Lean Launchpad Nagoya 2026 toward the national Lean Launchpad final, also in March 2027.
  • Continuing the regional-data work: cleaning national statistics, clustering municipalities, and fine-tuning small language models that run entirely on local hardware.
  • Studying as a third-year student in the Information Science and Technology Department at Yuge College, on Yuge Island.

Selected research

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Ventures & programs

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  • Beacon

    Closed-network edge-AI inspection for dark factory floors and plant interiors, built on training-free Retinex enhancement; four awards at Tongali BPC 2026

    • Jun 2026 – Present
    • Venture
    • Active
  • Kyudo AI

    Smartphone-only kyudo coaching app that detects the full-draw hold and scores form on the device; Grand Prize at Lean Launchpad Nagoya 2026

    • 2026 – Present
    • Venture
    • Active
  • NOVA: a 360-degree vision-assisted mobile robot for nighttime environments (LEADING EDGE Shikoku)

    Night-vision mobile-robot project selected for LEADING EDGE Shikoku (METI AKATSUKI); it produced the XCR method and a presentation trip to Singapore

    • Aug 2025 – Jan 2026
    • Program
    • Completed

Recent recognition

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  1. Semifinalist, SusHi Tech Teen Challenge

    Tokyo Metropolitan Government

Latest updates

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  1. Re-Defining Vanishing Municipalities in Japan: A Multidimensional Clustering and SLM-Based Policy Insight Framework

    Proceedings of the IEEE 15th Global Conference on Consumer Electronics (IEEE GCCE 2026)Publication

  2. Launched this site

    Note

  3. Kyudo AI — Just Stand Up Your Phone and Shoot

    Lean Launchpad Nagoya 2026 (Tongali)Talk