Research output per year
Research output per year
Personal profile
Personal profile
My interests are in various applied problems which have impact. My formal training is in electrical engineering and applied mathematics. I find that some of the more interesting problems I have worked on have come from looking at the real world with a strongly quantitative toolset. Along the way, I have spent time at a hedge fund and consulted for private industry and the U.S. Government.
Research Interests
Applied Mathematics, financial engineering, big data, traffic, precision agriculture, Internet of Things
Office Address
Mathematics
347 Illini Hall
1409 W Green
M/C 382
Urbana, IL 61801
Office Phone
Fingerprint
Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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Continuous Heart Rate Recovery Monitoring with ECG Signals from Wearables: Identifying Risk Groups in the General Population
Dogan, A., Bishnoi, A., Sowers, R. B. & Hernandez, M. E., 2025, (Accepted/In press) In: IEEE Journal of Biomedical and Health Informatics.Research output: Contribution to journal › Article › peer-review
Open Access -
Extending Anxiety Detection from Multimodal Wearables in Controlled Conditions to Real-World Environments
Alkurdi, A., He, M., Cerna, J., Clore, J., Sowers, R., Hsiao-Wecksler, E. T. & Hernandez, M. E., Feb 2 2025, In: Sensors. 25, 4, 1241.Research output: Contribution to journal › Article › peer-review
Open Access -
Objective anxiety level classification using unsupervised learning and multimodal physiological signals
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., Jun 2025, In: Smart Health. 36, 100572.Research output: Contribution to journal › Review article › peer-review
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Resilience of Machine Learning Models in Anxiety Detection: Assessing the Impact of Gaussian Noise on Wearable Sensors
Alkurdi, A., Clore, J., Sowers, R., Hsiao-Wecksler, E. T. & Hernandez, M. E., Jan 2025, In: Applied Sciences (Switzerland). 15, 1, 88.Research output: Contribution to journal › Article › peer-review
Open Access -
Physical, Social and Cognitive Stressor Identification using Electrocardiography-derived Features and Machine Learning from a Wearable Device
He, M., Cerna, J., Alkurdi, A., Dogan, A., Zhao, J., Clore, J. L., Sowers, R., Hsiao-Wecksler, E. T. & Hernandez, M. E., 2024, 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Press/Media
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Wearable technology continuously monitors heart-rate recovery to predict risk
Hernandez, M. E. & Sowers, R. B.
4/9/25
1 Media contribution
Press/Media: Research
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Wearable sensors for Parkinson’s can improve with machine learning, data from healthy adults
Hernandez, M. E. & Sowers, R. B.
4/11/24
1 Media contribution
Press/Media: Research
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Team uses digital cameras, machine learning to predict neurological disease
Sowers, R. B. & Hernandez, M. E.
10/11/22
1 Media contribution
Press/Media: Research