Disi Chen

Dr. Disi Chen is a Lecturer in Robotics and Machine Vision at the Faculty of Environment and Technology (FET), University of the West of England, Bristol. He is affiliated with the Centre for Machine Vision (CMV) and Bristol Robotics Laboratory (BRL).

• BEng in Mechanical Engineering
• MEng in Engineering
• PhD in Probabilistic Framework for Human-Robot Skill Transfer (University of Portsmouth)

His research focuses on Machine Vision, Machine Learning, and Robotics, with specific expertise in human-robot skill transfer, gesture recognition, and surface electromyography (sEMG) signal processing. He has developed novel frameworks like the Curved Gaussian Mixture Model (CGMM) and Virtual Reality systems for intuitive skill demonstration perception.

Disi Chen's publications emphasize gesture recognition, sEMG signal analysis, and robotic control systems, often integrating deep learning, image segmentation, and human-computer interaction. His work spans applications in prosthetic limbs, rehabilitation robotics, and urban computing.

He is part of the Centre for Machine Vision and Bristol Robotics Laboratory, collaborating with institutions like the University of Portsmouth and Wuhan University of Science and Technology. His teaching includes modules on Machine Vision and Robotics.