Reference author: Ali Nasr

First name

Ali

Last name

Nasr

Nasr, A., Inkol, K., & McPhee, J. (2025). Safety in wearable robotic exoskeletons: design, control, and testing guidelines Journal of Mechanisms and Robotics, 17, 050801.

Nasr, A., & McPhee, J. (2025). Harnessing Biomechanical Energy Using Shoulder Exoskeleton: Electrical Energy Regeneration Journal of Mechanisms and Robotics, 1‐‐11.

Nasr, A., Hashemi, A., & McPhee, J. (2024). Scalable musculoskeletal model for dynamic simulations of upper body movement Computer Methods in Biomechanics and Biomedical Engineering, 27, 306‐‐337.

Nasr, A., Hunter, J., Dickerson, C. R., & McPhee, J. (2023). Evaluation of a machine‐learning‐driven active‐‐passive upper‐limb exoskeleton robot: Experimental human‐in‐the‐loop study Wearable Technologies, 4, e13.

Nasr, A., Bell, S., Whittaker, R. L., & Dickerson, C. R. and. (2024). Robust machine learning mapping of sEMG signals to future actuator commands in biomechatronic devices Journal of Bionic Engineering, 21, 270‐‐287.

Nasr, A., Inkol, K. A., Bell, S., & McPhee, J. (2021). InverseMuscleNET: alternative machine learning solution to static optimization and inverse muscle modeling Frontiers in Computational Neuroscience, 15, 759489.

Nasr, A., Ferguson, S., & McPhee, J. (2021). Model-based design and optimization of passive shoulder exoskeletons Presented at the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference conference. ASME.

Nasr, A., Bell, S., He, J., Whittaker, R. L., Jiang, N., Dickerson, C. R., & McPhee, J. (2021). MuscleNET: Mapping electromyography to kinematic and dynamic biomechanical variables by machine learning Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/ac1adc (Original work published 2021)

Bell, S., Nasr, A., & McPhee, J. (2024). General muscle torque generator model for a two degree-of-freedom shoulder joint Journal of Biomechanical Engineering. https://doi.org/https://doi.org/10.1115/1.4065044 (Original work published 2024)

Nasr, A., Bell, S., Whittaker, R. L., Dickerson, C. R., & McPhee, J. (2024). Robust machine learning mapping of sEMG signals to future actuator commands in biomechatronic devices Journal of Bionic Engineering, 21. https://doi.org/https://doi.org/10.1007/s42235-023-00453-8 (Original work published 2024)