Yue Wen

Yue Wen is an Assistant Professor at the University of Central Florida. His research focuses on rehabilitation robotics, machine learning, neuromechanics, and human-robot interaction. He holds a Ph.D. in Biomedical Engineering from the University of North Carolina at Chapel Hill and North Carolina State University, an M.S. in Control Theory and Engineering from Huazhong University of Science and Technology, and a B.S. in Automation from Wuhan University of Technology.

His work integrates neural engineering and robotics to develop adaptive prosthetic systems and rehabilitation technologies. Key areas include real-time neural drive estimation using deep learning, haptic collaboration in motor tasks, and reinforcement learning for personalized prosthesis control. Recent studies explore exoskeleton interaction dynamics and virtual physical coupling in lower-limb robotics.

Yue Wen has received the UNC/NC State Research Assistant Scholarship (2014–2019) and was a finalist in the EMBC Student Paper Competition (2015). His research bridges biomechanics, machine learning, and clinical applications, with a focus on improving gait symmetry and user interaction in robotic prosthetics.