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supernaiter/README.md

Naoki Kimura

Ph.D. in Human-Computer Interaction nao-ki-mura.com | [email protected] | Google Scholar


πŸ† Selected Honors & Awards

  • Microsoft Research Asia Fellowship (2020)
  • Google PhD Fellowship (2019)
  • ACM CHI Best Paper Honorable Mention (2019, 2018) – Awarded to top 5% of submissions
  • JST ACT-X Researcher (2019 – 2022) – Grant: Frontier of Mathematics and Information Science
  • Toyota / Dwango AI Scholarship (2018 – 2019)
  • JSPS Research Fellowship for Young Scientists (DC2) (2021)

πŸ› Education

The University of Tokyo | Tokyo, Japan Ph.D. in Human-Computer Interaction | 2019 – 2025

  • Advisor: Prof. Jun Rekimoto
  • Graduate School of Interdisciplinary Information Studies

The University of Tokyo | Tokyo, Japan M.S. in Applied Computer Science (Highest Distinction) | 2013 – 2019

  • Advisor: Prof. Jun Rekimoto

πŸ’Ό Professional Experience

LY Corporation Research (formerly Yahoo! JAPAN Research) | Tokyo, Japan Chief Researcher | Apr 2023 – Present

  • Leading advanced research projects in HCI and AI.

Google Research | Tokyo, Japan Collaborative Researcher | 2020 – 2021

  • Advisor: Dr. Shumin Zhai
  • Research on mobile text entry and silent speech interfaces.

Microsoft Research Asia (MSRA) | Beijing, China (Remote) Collaborative Researcher (PhD Fellow) | 2020

  • Advisor: Dr. Frank Soong

Georgia Institute of Technology | Atlanta, USA Visiting Researcher | 2019 – Present

  • Advisor: Prof. Thad Starner
  • Collaborating on wearable computing interfaces.

Preferred Networks (PFN) | Tokyo, Japan Intern | 2018

  • Advisor: Dr. Fabrice Matulic
  • Contributed to the development of Chainer.

πŸ“š Selected Publications

[N. Kimura], "3-KEY-INPUT: Exploring the Theoretical Minimum Keys for Text Entry," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2026), 2026.

[N. Kimura], T. Taniguchi, T. Starner, and J. Rekimoto, "HMDspeller: Non-visual Text Entry for Head-Mounted Displays," ACM CHI Conference on Human Factors in Computing Systems (CHI 2023), Hamburg, Germany, April 2023.

[N. Kimura], K. Higuchi, and J. Rekimoto, "Self-Supervised Learning for Silent Speech Interfaces," ACM Symposium on User Interface Software and Technology (UIST 2022), Bend, OR, USA, Oct 2022.

[N. Kimura], T. Nakahira, and J. Rekimoto, "SilentSpeller: Towards Silent Speech Interface with Ultra-Low-Power Silent Voice Recognition," ACM CHI Conference on Human Factors in Computing Systems (CHI 2022), New Orleans, LA, USA, April 2022.

[N. Kimura], S. Zhai, and J. Rekimoto, "Mobile SilentSpeller: Silent Speech Interface for Mobile Devices," ACM CHI Conference on Human Factors in Computing Systems (CHI 2021), Yokohama, Japan, May 2021.

[N. Kimura], Z. Zhao, and F. Soong, "End-to-End Silent Speech Recognition from EMG Signals," INTERSPEECH 2020, Shanghai, China, Oct 2020.

[N. Kimura], M. Kono, and J. Rekimoto, "SottoVoce: An Ultrasound Imaging-Based Silent Speech Interaction Using Deep Neural Networks," ACM CHI Conference on Human Factors in Computing Systems (CHI 2019), Glasgow, UK, May 2019. (Honorable Mention Award)

[N. Kimura] and J. Rekimoto, "ExtVision: Augmentation of Visual Experiences with Generation of Context Images for Peripheral Vision Using Deep Neural Network," ACM CHI Conference on Human Factors in Computing Systems (CHI 2018), Montreal, Canada, April 2018. (Honorable Mention Award)


πŸ›  Skills

  • Languages: Japanese (Native), English (Professional Proficiency)
  • Technical: Python, PyTorch, Chainer, C++, Unity, Signal Processing (EMG, Ultrasound), LLM Integration

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