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Personal profile


David Paydarfar is Professor and inaugural Chair of the Department of Neurology at the Dell Medical School at The University of Texas at Austin. He previously served as Professor and Executive Vice Chair of the Department of Neurology at the University of Massachusetts Medical School, and as Associate Faculty of the Wyss Institute for Biologically Inspired Engineering at Harvard University. Paydarfar received his B.S. in Physics (summa cum laude) from Duke University and M.D. from the University of North Carolina at Chapel Hill, and completed his residency training in neurology at the Massachusetts General Hospital and Harvard Medical School. He is a Fellow of the American Neurological Association and an Investigator of the Clayton Foundation for Research.

Research Interests

Paydarfar's clinical research program seeks to develop novel biosensors, signal-processing algorithms, and user interfaces that will enable clinicians and researchers to track and predict the health of individual patients as well as entire populations. This approach will extend beyond current reactive alarm systems, enabling us to forecast, and avert, adverse disease trajectories and to test the impact of such a strategy on health outcomes. This engineering and informatics platform should provide unprecedented opportunities to conduct fieldwork on human physiology and pathophysiology. Paydarfar's basic research program seeks to understand mechanisms underlying disease states associated with abnormal behavior of neural oscillators, such as apnea, circadian dysrhythmias, and epilepsy, as well as the co-ordination of pacemakers with other physiological and behavioral functions. His research is funded by the NIH, NSF, and the Clayton Foundation for Research.

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Research Output 1985 2019

Explaining deep classification of time-series data with learned prototypes

Gee, A. H., Garcia-Olano, D., Ghosh, J. & Paydarfar, D., Jan 1 2019, In : CEUR Workshop Proceedings. 2429, p. 15-22 8 p.

Research output: Contribution to journalConference article

Time series
Decision making
Deep learning
2 Citations (Scopus)

Optimizing stimulus waveforms for electroceuticals

Chang, J. & Paydarfar, D., Apr 1 2019, In : Biological Cybernetics. 113, 1-2, p. 191-199 9 p.

Research output: Contribution to journalReview article

Electric Stimulation
Equipment and Supplies
Direction compound
1 Citation (Scopus)

Quantifying Movement in Preterm Infants Using Photoplethysmography

Zuzarte, I., Indic, P., Sternad, D. & Paydarfar, D., Feb 15 2019, In : Annals of Biomedical Engineering. 47, 2, p. 646-658 13 p.

Research output: Contribution to journalArticle

Intensive care units

Sensory dysphagia: A case series and proposed classification of an under recognized swallowing disorder

Santoso, L. F., Kim, D. Y. & Paydarfar, D., May 2019, In : Head and Neck. 41, 5, p. E71-E78

Research output: Contribution to journalArticle

Deglutition Disorders
Cranial Nerve Diseases
Sensory Feedback