Dr Weiguang Huo

Weiguang Huo is a Research Associate at the Department of Mechanical Engineering of Imperial College London. He works with Dr. Ravi Vaidyanathan to develop machine-learning based methods to quantify Parkinson’s disease symptoms using wearable sensors as well as control algorithms for lower-limb exoskeletons. He received his M.S. in Control Theory and Control Engineering in 2012 from Huazhong University of Science and Technology, China, where he worked on control approaches of an upper-limb exoskeleton. He received his Ph.D. in Signal, Image and Automatic in 2016 from the University of Paris-Est, France, where worked on human-motion-intention based control algorithms for lower limb exoskeletons. Subsequently, he worked as a postdoctoral researcher at the same university until 2018. He focused on developing and clinically evaluating functional electrical stimulation (FES) algorithms for correcting the foot-drop of paretic patients. 

His research interests include human motion intention estimation, modeling and control of wearable robots, functional electrical stimulation, and machine learning.

 

Email: w.huo@imperial.ac.uk

 

 ResearchGate 

 Google Scholar