Yue Wen is an assistant professor in the UCF Department of Mechanical and Aerospace Engineering. He was a postdoctoral researcher at Shirley Ryan AbilityLab (formerly RIC) and Northwestern University prior to coming to UCF. He received a doctoral degree in biomedical engineering from the joint Department of Biomedical Engineering at North Carolina State University and University of North Carolina at Chapel Hill in 2019. His research interests include human-in-the-loop personalization of wearable rehabilitation robots, neural-machine interfaces, AI for robotics and neural interfaces, and motor rehabilitation to improve the quality of life for clinical populations.

• Yue Wen, Sangjoon J Kim, Simon Avrillon, Jackson T. Levine, François Hug, and José L Pons. “Toward a generalizable deep cnn for neural drive estimation across muscles and participants.” Journal of Neural Engineering, 20(1):016006, 2022. 


• Sangjoon J. Kim, Yue Wen, Daniel Ludvig, Emek Bars Kucuktabak, Matthew Short, Kevin Lynch, Eric J. Perreault, Levi Hargrove, and Jose L. Pons. “Effect of dyadic haptic collaboration on ankle motor learning.” IEEE Transactions on Neural Systems and Rehabilitation Engineering 31 (2022): 416-425. 


• Yue Wen, Sangjoon J. Kim, Simon Avrillon, Jackson T. Levine, François Hug, and José L. Pons. “A deep CNN framework for neural drive estimation from HD-EMG across contraction intensities and joint angles.” IEEE Transactions on Neural Systems and Rehabilitation Engineering 30 (2022): 2950-2959. 


• Yue Wen, Simon Avrillon, Julio C Hernandez-Pavon, Sangjoon J Kim, François Hug, and José L Pons. “A convolutional neural network to identify motor units from high-density surface electromyography signals in real time.” Journal of Neural Engineering, 18(5):056003, 2021. 


• Minhan Li, Yue Wen, Xiang Gao, Jennie Si, and He Huang.”Towards Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control.” IEEE Transactions on Robotics 38, no. 1 (2021): 407-420. 


• Yue Wen, Minhan Li, Jennie Si, and He Huang. “Wearer-prosthesis interaction for symmetrical gait: a study enabled by reinforcement learning prosthesis control.” IEEE Transactions on Neural Systems and Rehabilitation Engineering 28, no. 4 (2020): 904-913. 


• Yue Wen, Jennie Si, Andrea Brandt, Xiang Gao, and He (Helen) Huang. “Online reinforcement learning control for the personalization of a robotic knee prosthesis.” IEEE Transactions on Cybernetics 50, no. 6 (2019): 2346-2356.  (Featured in IEEE Spectrum Journal Watch: AI Helps Amputees Walk With a Robotic Knee)