Faculty
Education:
Classes:
Awards & Honors:
Editorial Boards:
Research Interests:
Control, Estimation, and System Identification of Biomedical Systems
Data Science and Computational Methods for Biomedicine
Biomedical and Neural Signal Processing
Wearable Computing
Physiological Modeling
Cyber Physical Systems
Funded Research:
Selected Publications:
Wickramasuriya D.S., and Faghih R.T., (2020). A Marked Point Process Filtering Approach for Tracking Sympathetic Arousal from Skin Conductance. IEEE Access, vol. 8, pp. 68499-68513, 2020, doi: 10.1109/ACCESS.2020.2984508.
Wickramasuriya, D.S., and Faghih R.T., (2020). A Mixed Filter Algorithm for Sympathetic Arousal Tracking from Skin Conductance and Heart Rate Measurements in Pavlovian Fear Conditioning.
PLoS ONE 15(4): e0231659. doi: 10.1371/journal.pone.0231659.
Wickramasuriya, D. S., & Faghih, R. T. (2020). A Bayesian Filtering Approach for Tracking Arousal from Binary and Continuous Skin Conductance Features. IEEE Transactions on Biomedical Engineering, 67, no. 6, pp. 1749-1760, doi: 10.1109/TBME.2019.2945579.
Pednekar, D. D., Amin M. R., Azgomi H. F., Aschbacher K, J. Crofford L. & Faghih, R. T. (2020). Characterization of Cortisol Dysregulation in Fibromyalgia and Chronic Fatigue Syndromes: A State-Space Approach. IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2020.2978801.
Wickramasuriya D.S., Amin M.R., and Faghih R.T., (2019). Skin Conductance as a Viable Alternative for Closing the Deep Brain Stimulation Loop in Neuropsychiatric Disorders. Frontiers in Neuroscience 13:780. doi: 10.3389/fnins.2019.00780.
Amin, M. R., & Faghih, R. T. (2019). Sparse deconvolution of electrodermal activity via continuous-time system identification. IEEE Transactions on Biomedical Engineering. doi.org/10.1109/TBME.2019.2892352.
Amin, M. R., & Faghih, R. T. (2019). Robust Inference of Autonomic Nervous System Activation using Skin Conductance Measurements: A Multi-Channel Sparse System Identification Approach. IEEE Access, vol. 7, pp. 173419-173437, 2019, doi: 10.1109/ACCESS.2019.2956673.
Taghvafard, H., Cao, M., Kawano, Y., & Faghih, R. T. (2019). Design of intermittent control for cortisol secretion under time-varying demand and holding cost constraints. IEEE Transactions on Biomedical Engineering. doi.org/10.1109/TBME.2019.2918432
Vargas, I., Vgontzas, A. N., Abelson, J. L., Faghih, R. T., Morales, K. H., & Perlis, M. L. (2018). Altered ultradian cortisol rhythmicity as a potential neurobiologic substrate for chronic insomnia. Sleep Medicine Reviews, 41, 234-243. doi.org/10.1016/j.smrv.2018.03.003.
Faghih, R. T., Dahleh, M. A., Adler, G. K., Klerman, E. B., & Brown, E. N. (2015). Quantifying pituitary- adrenal dynamics and deconvolution of concurrent cortisol and adrenocorticotropic hormone data by compressed sensing. IEEE Transactions on Biomedical Engineering, 62(10), 2379-2388. doi.org/10.1109/TBME.2015.2427745.
Faghih, R. T., Dahleh, M. A., & Brown, E. N. (2015). An optimization formulation for characterization of pulsatile cortisol secretion. Frontiers in Neuroscience, 9, 228. doi.org/10.3389/fnins.2015.00228.
Faghih, R.T., Dahleh, M.A., Adler, G.K., Klerman, E.B., & Brown, E.N. (2014) Deconvolution of serum cortisol levels by using compressed sensing. PLoS ONE 9(1): e85204. doi.org/10.1371/journal.pone.0085204.
Faghih, R. T., Savla, K., Dahleh, M. A., & Brown, E. N. (2012). Broad range of neural dynamics from a time-varying FitzHugh–Nagumo model and its spiking threshold estimation. IEEE Transactions on Biomedical Engineering, 59(3), 816-823. doi.org/10.1109/TBME.2011.2180020.
Antonsen Jr, T. M., Faghih, R. T., Girvan, M., Ott, E., & Platig, J. (2008). External periodic driving of large systems of globally coupled phase oscillators. Chaos: An Interdisciplinary Journal of Nonlinear Science, 18(3), 037112. doi.org/10.1063/1.2952447.
Patent/Patent Applications:
News:
UH Cullen College of Engineering News: https://www.egr.uh.edu/faculty-news/dr-faghih-rose
