Professor, Mechanical Science and Engineering

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

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

He, M., Cerna, J., Mathew, R., Zhao, J., Zhao, J., Espina, E., Clore, J. L., Sowers, R. B., Hsiao-Wecksler, E. T., & Hernandez, M. E. (2025). Objective anxiety level classification using unsupervised learning and multimodal physiological signals. Smart Health, 36, Article 100572. https://doi.org/10.1016/j.smhl.2025.100572

He, M., Alkurdi, A., Clore, J. L., Sowers, R. B., Hsiao-Wecksler, E. T., & Hernandez, M. E. (2025). Scoping Review of ML Approaches in Anxiety Detection from In-Lab to In-the-Wild. Applied Sciences (Switzerland), 15(18), Article 10099. https://doi.org/10.3390/app151810099

Hsieh, E. Y., Hsiao-Wecksler, E. T., & Nam, S. W. (2025). Thermal Radiation Sensors Based on Ionic-Conducting Pectin Films. Advanced Science. Advance online publication. https://doi.org/10.1002/advs.202509863

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