Contact Information
Department of Mathematics
377 Altgeld Hall, MC-382
1409 W. Green Street, Urbana, IL 61801
Professor
Department of Industrial and Enterprise Systems Engineering
104C Transportation Building
Research Areas
Biography
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
Education
Ph.D. Maryland, 1991
Additional Campus Affiliations
Professor, Industrial and Enterprise Systems Engineering
Professor, Mathematics
Director of Graduate Admissions, Mathematics
Professor, Statistics
Professor, Biomedical and Translational Sciences
Professor, Center for Digital Agriculture, National Center for Supercomputing Applications (NCSA)
External Links
Recent Publications
Kaur, R., Motl, R. W., Sowers, R., & Hernandez, M. E. (2023). A Vision-Based Framework for Predicting Multiple Sclerosis and Parkinson's Disease Gait Dysfunctions - A Deep Learning Approach. IEEE Journal of Biomedical and Health Informatics, 27(1), 190-201. https://doi.org/10.1109/JBHI.2022.3208077
Kaur, R., Levy, J., Motl, R. W., Sowers, R., & Hernandez, M. E. (2023). Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait. IEEE Transactions on Biomedical Engineering, 70(7), 2181-2192. https://doi.org/10.1109/TBME.2023.3238680
Prakash, P., Kaur, R., Levy, J., Sowers, R., Brašić, J., & Hernandez, M. E. (2023). A Deep Learning Approach for Grading of Motor Impairment Severity in Parkinson's Disease. In 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 - 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/EMBC40787.2023.10341122
Singh, M., Prakash, P., Kaur, R., Sowers, R., Brašić, J. R., & Hernandez, M. E. (2023). A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson's Disease for Use in Tele-Assessments. Sensors, 23(21). https://doi.org/10.3390/s23219004
Matin, H. N. Z., & Sowers, R. B. (2022). NEAR-COLLISION DYNAMICS IN A NOISY CAR-FOLLOWING MODEL. SIAM Journal on Applied Mathematics, 82(6), 2080-2110. https://doi.org/10.1137/21M1454055