My name is Yusuke Sakai (榮井 優介), a graduate student in Nagoya University, Japan. You can call me Fred if you want.

My interests:

  • Signal Processing
  • Human Computer Interaction
  • Machine Learning
  • Web Developing



  • Japanese: native language
  • English: limited working proficiency (ILR scale)

Programming Language

  • Proficient: Python, JavaScript
  • Experienced: Golang, C, C++, Java, PHP, SQL, Bash

Frameworks or Library

  • Web: Django, Tornado, Laravel, React.js, Jekyll, Hugo, Wordpress
  • Machine Learning: Tensorflow, Keras
  • GUI: Qt
  • Others: OpenCV


  • Infrastructure: Docker, AWS
  • Document: , Markdown, MS Office


  • 準中型自動車免許
  • 大型自動二輪車免許
  • TOEIC Score 905, 2013


August 1st 2018 - Present
Backend Engineer, Human Dataware Lab., Nagoya, JAPAN
July 31th 2017 - September 1st 2017
Software Engineer Internship, Wantedly, Tokyo, JAPAN
  • Develop news filtering system using word embeddings and machine learning.
April 1st 2017 - Present
Teaching Assistant, Daido University, Nagoya, JAPAN
  • Help students to complete assignments and write reports.


April 2017 - Present
Nagoya University, Graduate School of Informatics, Nagoya, JAPAN

Master of Information Science in Intelligent Systems

April 2015 - March 2017
Nagoya University, Nagoya, JAPAN

Bachelor of Engineering in Electrical and Electronic Engineering

August 2011 - July 2012
Tallwood High School , Virginia Beach, VA, USA

As a foreign exchange student in YFU

April 2009 - March 2015
Toyota National College of Technology, Toyota, JAPAN

Associate Degree in Electrical and Electronic System Engineering



  • Yusuke Sakai, Yoshio Ishiguro, Akira Tamamori, Kei Hiroi, Nobuo Kawaguchi, Kazuya Takeda, “An Semi-Automatic Dialogue System between an Operator and Multiple Users of an Empirical Study for Supporting Elderly People”, HUMAN COMMUNICATION GROUP SYMPOSIUM 2018, HCG2018-C-1-1, pp. 1-7, December 2018 (in Japanese).
  • Yusuke Sakai, Hiromi Morita, Yoshio Ishiguro, Takanori Nishino, Kazuya Takeda, “SecretSign: A Method of Finding an Off-line Target Object without Revealing the Target to Observers”, 2018 IEEE ITSC Proceedings, pp. 3651-3656, November 2018.


  • 学士論文: “マルチモーダル生体信号と機械学習を用いた日常生活感情認識の研究”, March 2017.


  • 榮井 優介,石黒 祥生,西野 隆典,武田 一哉, “CarBuddy: 加速度情報とスケルトン追跡による車両周辺ユーザの特定と意図推定”, インタラクション2019 インタラクティブ発表, March 2019 (demo, 発表予定).
  • 榮井 優介, “生体信号と機械学習を用いた感情認識に関する研究”, 第22回東海地区音声関連研究室修士論文中間発表会, August 2018 (poster). [挑戦的研究賞]