CV

Chenyu Gu

M.S. in Bioengineering, Georgia Institute of Technology

cgu84@gatech.edu
https://chenyugu-cgu.github.io
Atlanta, GA, US
Google Scholar ORCID GitHub

Summary

Recent M.S. graduate in Bioengineering from Georgia Tech (RoboMed Lab, advised by Dr. Jaydev Desai), working on the design, modeling, and control of medical continuum robots. My research spans medical and bio-robotics, surgical navigation and medical devices, and biomechanical/physiological sensing.

Education

  • M.S. in Bioengineering (ECE)
    May 2026
    Georgia Institute of Technology, Atlanta, USA
    GPA: 4.00/4.00
    Courses: Digital Control System, Finite Element Analysis
  • B.S. in Intelligent Medical Engineering
    Jun 2024
    Southern University of Science and Technology, Shenzhen, China
    GPA: 3.82/4.00 (Major-related: 3.88/4.00)
    Courses: Medical Robotics, Signals and Systems, Digital Signal Processing, Medical Imaging, Machine Learning, Neural Engineering, Brain-Computer Interface
  • Exchange Student, Electrical Engineering and Computer Science
    Jan 2024
    KTH Royal Institute of Technology, Stockholm, Sweden
    Courses: Principles of Wireless Sensor Networks, Social Robotics

Work Experience

  • Project Leader — Hydraulic Continuum Robot
    Oct 2024 - Present
    RoboMed Lab, Georgia Institute of Technology
    Design, modeling, and control of a hydraulically actuated continuum robot.
    • Developed and manufactured a polymer-based hydraulic robotic system for non-conductive, MRI-safe environments.
    • Formulated the physical model of the hydraulic robot and refined it with a data-driven hysteresis model.
    • Implemented model-based open-loop control and integrated shape-sensing methods for closed-loop control.
    • Characterized and validated the system experimentally and demonstrated it in a vascular phantom model.
  • Project Assistant — COAST Guidewire Robot
    Jul 2025 - Present
    RoboMed Lab, Georgia Institute of Technology
    Mechanism and actuation design of a steerable robotic guidewire (paper prepared for IJRR).
    • Contributed to a modified COAST robotic guidewire enabling active stiffness control for steering and quick-connect usability in minimally invasive cardiovascular interventions.
    • Managed the electrical development of the actuation system (PCB and circuit design) and developed an analog force sensor for precise robotic actuation and sensing.
  • Project Leader — Surgical Navigation System
    Feb 2023 - Jun 2024
    Brain-robot Rehabilitation Lab, Southern University of Science and Technology
    Hardware/software co-design of a surgical navigation system.
    • Co-designed hardware and software, including circuit design to integrate microcontroller and sensors, C embedded programming, and real-time tracking feedback through Unity.
    • Validated effectiveness (validity and reliability) against an optical system and a robot arm.
  • Visiting Student — IMU Movement Analysis
    Oct 2023 - Jan 2024
    Intelligent Heart Technology Lab, KTH Royal Institute of Technology
    Movement analysis using IMU sensors and sensor fusion.
    • Investigated the relationship between movement and cardiovascular function through gait parameters and heart rate.
    • Deployed a Kalman filter for orientation estimation, calibrated IMU angles, and extracted gait parameters and center of mass.
  • Project Leader — Motion Capture for Rehabilitation
    Apr 2022 - May 2024
    Brain-robot Rehabilitation Lab, Southern University of Science and Technology
    Deep-learning-enhanced UWB-IMU motion capture system.
    • Integrated UWB technology and IMU to build a motion capture system for human motion recovery.
    • Developed Unity visualization and Python signal transmission, and applied deep learning for pose reconstruction.
    • Evaluated system effectiveness on healthy subjects during rehabilitation exercises.
  • Project Assistant — Center of Mass Estimation
    Oct 2022 - Aug 2023
    Brain-robot Rehabilitation Lab, Southern University of Science and Technology
    Center of mass estimation for rehabilitation assessment.
    • Used IMU-based motion capture and developed an OpenSim-based algorithm to estimate the 3D center of mass.
    • Analyzed center-of-mass trajectories to extract motion features and perform rehabilitation assessments.
  • Research Assistant
    Jun 2023 - Aug 2023
    Dept. of Orthopedics, First People's Hospital, Shenzhen
    Clinical evaluation of medical measurement devices for orthopedic surgery.
    • Investigated suitable medical measurement devices to support orthopedic surgeries.
    • Performed clinical validation in the operating room and evaluated device functionality and reliability.

Skills

Laboratory

  • FEM analysis
  • 3D printing
  • PCB design
  • Laser cutting
  • Circuit analysis
  • Motion capture

Programming

  • Python (data analysis, PyTorch)
  • C (embedded systems)
  • MATLAB
  • Simulink
  • Rust
  • Java

Software

  • ANSYS
  • OpenSim
  • SolidWorks
  • Arduino
  • EasyEDA/Altium
  • Unity
  • Blender

Tools

  • Git
  • Neovim
  • Docker
  • Jupyter
  • VS Code
  • Adobe Photoshop
  • Final Cut Pro
  • Microsoft Office

Publications

  • Design and Modeling of a Polymer-based Hydraulic Continuum Robot for Minimal Invasive Surgery
    2026
    International Symposium on Medical Robotics (ISMR) — Best Student Paper Award
    A 2.14 mm-OD, MRI-compatible hydraulic continuum robot for minimally invasive surgery, with a Preisach hysteresis model (2.26 deg RMSE) and a 58.8% reduction in twisting, demonstrated in a 2D aortic-arch phantom.
    View Publication
  • A Portable Inertial Navigation System for Total Hip Arthroplasty Targeting Direct Anterior Approach
    2025
    IEEE Transactions on Instrumentation and Measurement (IF: 5.9)
    A wireless, radiation-free IMU-based navigation system quantifying acetabular cup orientation for the direct anterior approach, achieving 1.24 deg (RA) and 1.89 deg (RI) RMSE with CC > 0.995.
    View Publication
  • IMU-based motion capture system for rehabilitation applications: A systematic review
    2023
    Biomimetic Intelligence and Robotics — Annual Best Paper Award (IF: 5.4)
    A systematic review of 65 studies on IMU-based motion capture systems for rehabilitation, covering applications, sensor configurations, and future directions.
    View Publication
  • A joint replacement simulation device and a joint replacement simulation method (China CN118634071A)
    2024
    Patent — China National Intellectual Property Administration
    Inventors: Guangheng Li, Mingming Zhang, Yangyi Yu, Chenyu Gu. Filed July 9, 2024; issued September 13, 2024.
    View Publication
  • Human motion capture method, system and storage medium (China CN118870291A)
    2024
    Patent — China National Intellectual Property Administration
    Inventors: Mingming Zhang, Chenyu Gu. Filed July 9, 2024; issued October 29, 2024.
    View Publication

Teaching

  • Machine Learning (CS 7641)
    Aug
    Georgia Institute of Technology, College of Computing
    Role: Graduate Teaching Assistant
    Held weekly office hours and review sessions on supervised/unsupervised learning, reinforcement learning, and optimization; graded homework, projects, and exams for 300+ graduate students.

Languages

  • Chinese
    Native speaker
  • English
    Proficient
  • Japanese
    Elementary
  • French
    Elementary

Interests

  • Medical & Bio-Robotics
    Surgical robots, Wearable & rehabilitation robotics, Soft robotics, Data-driven robotic control
  • Medical Devices & Digital Health
    Wearable/portable devices, Surgical navigation, Tele-rehabilitation
  • Biomechanics & Physiological Signals
    Gait & locomotion analysis, Motion tracking, Multi-modal sensing & analysis
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