Research Interests
Investigation of risk factors for injury or disability during the performance of goal-directed movements • Age-related and disease-related changes in postural control • Behavioral and neural mechanisms underlying postural and gait dysfunction in older adults with and without neurological disorders • Non-linear dynamical analysis of short and noisy time series data
Education
- Ph.D., Biomedical Engineering, University of Michigan, Ann Arbor, 2012
- M.S., Biomedical Engineering (Biomechanics Concentration), University of Michigan, Ann Arbor, 2005
- B.S., Mechanical Engineering, Cornell University, 2003
Additional Campus Affiliations
Teaching Associate Professor, Biomedical and Translational Sciences
Research Associate Professor, Kinesiology and Community Health
Teaching Associate Professor, Bioengineering
Affiliate, Center for Social & Behavioral Science
Affiliate, Beckman Institute for Advanced Science and Technology
Recent Publications
Adamson, B. C., Lindsay, K. G., Almasri, L., Duffy, M. K., Kirkpatrick, S., & Hernandez, M. E. (2025). Evaluating the Impact of Seated Pilates on Functional Outcomes Among Those With Mild, Moderate, and Severe Multiple Sclerosis Impairment: A Pilot Feasibility Trial. Adapted Physical Activity Quarterly, 42(1), 19-47. https://doi.org/10.1123/apaq.2023-0159
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
Dogan, A., Bishnoi, A., Sowers, R. B., & Hernandez, M. E. (Accepted/In press). Continuous Heart Rate Recovery Monitoring with ECG Signals from Wearables: Identifying Risk Groups in the General Population. IEEE Journal of Biomedical and Health Informatics. https://doi.org/10.1109/JBHI.2025.3550092
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