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
Grayce Wicall Gauthier Professor, Mechanical Science and Engineering
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
Professor, Biomedical and Translational Sciences
Professor, Beckman Institute for Advanced Science and Technology
Affiliate, Disability Resources and Educational Services, College of Applied Health Sciences
External Links
Recent Publications
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
Peters, J., Chen, M., Huang, K., Siero, M., Elliot, J., Bleakney, A., Hsiao-Wecksler, E., & McDonagh, D. (2025). A user-inspired mobility experience of the future: a qualitative investigation. Disability and Rehabilitation: Assistive Technology, 20(2), 360-369. https://doi.org/10.1080/17483107.2024.2373303
Bleakney, A. W., Elliott, J. R., Hsiao-Wecksler, E. T., Malik, P. B., McDonagh, D. C., Rausin, A. K., Norris, W. R., Almeida de Souza Ramos, J. L., Chen, Y., Xiao, C., Pei, Y., & Song, S. Y. (2024). A Low-profile And High-load Ball-balancing Rolling System. (U.S. Patent No. 12048655).
He, M., Cerna, J., Alkurdi, A., Dogan, A., Zhao, J., Clore, J. L., Sowers, R. B., Hsiao-Wecksler, E. T., & Hernandez, M. E. (2024). Physical, Social and Cognitive Stressor Identification using Electrocardiography-derived Features and Machine Learning from a Wearable Device. In 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Proceedings (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC53108.2024.10782654