Welcome!

Software Engineer

Electrical Enginner

Researcher

I'm Ryu Okubo,
M.S. student in Computer Engineering
at University of Illinois, Urbana-Champaign.

I have strong backgrounds in embedded systems, signal processing, and machine learning.
I also have rich experience in python, C/C++, Arduino/Teensy and Unix based systems.
My research interest is interactive computing, and I am now conducting research in radar communication systems at iSENS Lab directed by Professor Elahe Soltonaghai.

email: rokubo2@illinois.edu

Education

  • Master of Sience in Computer Engineering at the University of Illinois Urbana-Champaign (expected May 2024)
  • Bachelar of Science in Computer Engineering at the University of Illinois Urbana-Champaign (May 2022)
  • Work Experience

  • Bain & Company, Associate Consultant, Jan 2025 - current
  • Bain & Company, Associate Consultant Intern, June 2023 - August 2023
  • Yummy Future Inc., Robotics/Software/Electrical Engineer Intern, August 2022 - June 2023
  • BOSCH, Machine Learning Engineer Intern, June 2022 - July 2022
  • Research Experience

  • Wireless, Sensing, & Embedded Networked Systems (iSENS) Lab January 2023 - present
  • Mobility and Fall Prevention Reseaach Lab January 2019 - May 2022
  • Human Dynamics and Controls Lab September 2020 - May 2022
  • Teaching Experience

  • ECE311: Digital Signal Processing Lab Head Teaching Assistant, August 2022 - January 2024
  • CS437: Topics in IoT Teaching Assistant, August 2023 - January 2024
  • Publication

  • Designing a closed loop system to achieve real-time evaluation and manipulation of state anxiety while walking in virtual reality
  • Online classifier of AMICA model to evaluate state anxiety while standing in virtual reality
  • EEG BASED BRAIN COMPUTER INTERFACE APPLICATION OF DETECTING HUMAN GAIT ACTIVITY
  • Hands-Free Physical Human-Robot Interaction and Testing for Navigating a Virtual Ballbot
  • BiScatter: Integrated Two-way Radar Backscatter Communication and Sensing with Low-power IoT Tags
  • BiScatter2: Extended-Range Two-way Radar Backscatter Communication with Low-Power IoT Tags
  • What I Do
    Embedded Systems/Circuit Design

    Developping and designing IoT devices based on microcontrollers(Arduino, Teensy, ESP32).
    Building the centralized system to control IoT devices.

    Machine Learning

    Answering the research questions of Medical Engineering using machine learning models.
    Solving real-world problems using computer vision.

    Signal Processing

    Process biosignals(EEG, fNIERs, Heatbeat) to provide information for medical devices. (BCI application)
    Process radar signas to localize and determine velocity of targeted objects.
    Reconstruct 3D scenes from 2D image.

    Recent Contributions