Expertise

His current research interests include biological signal-based neuromusculoskeletal modeling, human motion intent detection, Lyapunov-based nonlinear control/adaptive control, machine learning-based control, surface electromyography/ultrasound imaging processing, and their applications to wearable robotic devices’ control and next-generation healthcare.

Research Areas

  • Artificial Intelligence
  • Bioengineering
  • Biomedical Devices
  • Machine Learning
  • Robotics
  • Wearable Technologies
Communities
Mechanical Engineering
Degrees
PhD, The University of North Carolina, Biomedical Engineering, 2021
MS, University of Pittsburgh, Mechanical Engineering, 2019
MS, Wuhan University, Mechatronics Engineering, 2017
BS, Wuhan University, Mechanical Engineering, 2014