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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A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson's Disease for Use in Tele-Assessments
Singh, M., Prakash, P., Kaur, R., Sowers, R., Brašić, J. R. & Hernandez, M. E., Nov 6 2023, In: Sensors. 23, 21Research output: Contribution to journal › Article › peer-review
Open Access -
A Deep Learning Approach for Grading of Motor Impairment Severity in Parkinson's Disease
Prakash, P., Kaur, R., Levy, J., Sowers, R., Brašić, J. & Hernandez, M. E., 2023, 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 - 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
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A Vision-Based Framework for Predicting Multiple Sclerosis and Parkinson's Disease Gait Dysfunctions - A Deep Learning Approach
Kaur, R., Motl, R. W., Sowers, R. & Hernandez, M. E., Jan 1 2023, In: IEEE Journal of Biomedical and Health Informatics. 27, 1, p. 190-201 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait
Kaur, R., Levy, J., Motl, R. W., Sowers, R. & Hernandez, M. E., Jul 1 2023, In: IEEE Transactions on Biomedical Engineering. 70, 7, p. 2181-2192 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
NEAR-COLLISION DYNAMICS IN A NOISY CAR-FOLLOWING MODEL
Matin, H. N. Z. & Sowers, R. B., 2022, In: SIAM Journal on Applied Mathematics. 82, 6, p. 2080-2110 31 p.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
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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