Research Interests
Professor Hsiao-Wecksler and her lab group focus on investigating and improving movement control and function through two main areas: assistive device development and locomotion biomechanics. Students with a background in engineering, physics, kinesiology, or similar and interests in applying device design or application to neuroscience issues related to movement or movement disorders are encouraged to contact us.
Additional Campus Affiliations
Donald Biggar Willett Faculty Scholar, Mechanical Science and Engineering
Professor, Mechanical Science and Engineering
Professor, Bioengineering
Professor, Industrial and Enterprise Systems Engineering
Professor, Information Trust Institute
Professor, Coordinated Science Lab
Director, Applied Health Technology and Design, Grainger College of Engineering
Professor, Biomedical and Translational Sciences
Professor, Beckman Institute for Advanced Science and Technology
External Links
Recent Publications
Ochoa Arias, E. A., Granados, A., Gonzalez, D. V., Taylor, N. M., Schopp, M., Pisani, E., Zallek, C., Hsiao-Wecksler, E. T., & Golecki, H. M. (2026). A RAPID PROTOTYPING TOOL FOR AIR-BLADDER WHEELCHAIR CUSHIONS USING IMAGE-DRIVEN MODELING. In Proceedings of the 2026 Design of Medical Devices Conference, DMD 2026 Article V001T02A009 (Proceedings of the 2026 Design of Medical Devices Conference, DMD 2026). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DMD2026-1085
Phan, N. A., Ngo, S. T., Phan, M. T., Duong, N. Q., Phan, P. T., Do, T. N., Cao, P., Krishnan, G., Hsiao-Wecksler, E. T., & Thai, M. T. (2026). KNEESENSE: a low-cost wearable system with hydraulic filament sensing for real-time knee rehabilitation monitoring. Scientific reports, 16(1), Article 12572. Advance online publication. https://doi.org/10.1038/s41598-026-42424-z
Taylor, N. M., Ochoa Arias, E. A., Gonzalez, D. V., Pisani, E. E., Zallek, C. M., Schopp, M. J., Rice, L. A., Hsiao-Wecksler, E. T., & Golecki, H. M. (2026). A Clinical Perspective on Wheelchair Seat Cushion Attributes to Inform Design. In Proceedings of the 2026 Design of Medical Devices Conference, DMD 2026 Article V001T04A007 (Proceedings of the 2026 Design of Medical Devices Conference, DMD 2026). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DMD2026-1057
Alkurdi, A., He, M., Cerna, J., Clore, J., Sowers, R., Hsiao-Wecksler, E. T., & Hernandez, M. E. (2025). Extending Anxiety Detection from Multimodal Wearables in Controlled Conditions to Real-World Environments. Sensors, 25(4), Article 1241. https://doi.org/10.3390/s25041241
Alkurdi, A., Clore, J., Sowers, R., Hsiao-Wecksler, E. T., & Hernandez, M. E. (2025). Resilience of Machine Learning Models in Anxiety Detection: Assessing the Impact of Gaussian Noise on Wearable Sensors. Applied Sciences (Switzerland), 15(1), Article 88. https://doi.org/10.3390/app15010088