YALDA SHAHRIARI

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  • Assistant Professor
  • Electrical, Computer, and Biomedical Engineering
  • Phone: 401.874.5368
  • Email: yalda_shahriari@uri.edu
  • Mailing Address: Pastore 127
    Office: Room Number 42,
    URI at Schneider Electric Building,
    132 Fairgrounds Road,
    West Kingston, RI 02892

research

Our research interests are:

  • Neural Engineering
  • Biomedical Signal Processing
  • Brain-Computer Interface for Assistive Technology
  • Statistical Analysis and Modeling
  • Machine Learning Algorithms
  • Healthcare Units and Biomedical Data Analysis

Our main research is focused on better understanding of brain function using the cutting edge of neural engineering and cognitive neuroscience knowledge with the goal of developing the translational medicine and, therefore, improving the quality of life of patients with neurological impairments.

Several current research projects include: investigating the brain connectivity patterns of patients with Parkinson’s disease during deep brain stimulation (DBS), brain synchrony and oscillatory analysis of mice models of schizophrenia, decoding movement-related cortical activity in patients with epilepsy.

education

Postdoctoral Research Associate, University of California, San Francisco (UCSF), 2015-2016

Ph.D. in Biomedical Engineering, Old Dominion University of Virginia, 2012-2015

M.Sc. in Biomedical Engineering, Iran University of Science and Technology, 2008-2011

B.Sc. in Electrical Engineering, Ferdowsi University of Mashad, 2003-2008

publications

Y. Shahriari, D. Krusienski, Y.S. Dadi, M. Seo, H.S. Shin, J.H. Choi,Impaired auditory evoked potentials and oscillations in frontal and auditory cortex of a schizophrenia mouse model,” World Journal of Biological Psychiatry, 2015.

Y. Bai, Q. Ding, D. Do, R. Fidler, J. A. Palacios, Y. Shahriari, M. M. Pelter, N. Boyle, X. Hu, “Is the Sequence of SuperAlarm Triggers more Predictive than Sequence of the Currently Utilized Patient Monitor Alarms?,” IEEE Transactions on Biomedical Eng, 2016.

Y. Shahriari, A. Erfanian, “Improving the Performance of P300-based Brain–Computer Interface through Subspace-based Filtering,” Neurocomputing, 2013.    

Y. Shahriari, A. O’Keeffe, M. Malekmohammadi, X. Hu, N. Pouratian, “The Effect of Deep Brain Stimulation on Pllido-Cortical coherency Pattern of Parkinson’s Disease,” 6thBrain-Computer Interface Meeting, 2016. 

Y. Shahriari, D. J. Krusienski, J. H. Choi, “Frontal-Temporal Connectivity Dysfunction in a Mouse Model of Schizophrenia,”6thBrain-Computer Interface Meeting, 2016.

Y. Shahriari, E.W. Sellers, L.M. McCane, T.M. Vaughan, D.J. Krusienski. “Directional Brain Functional Interaction Analysis in Patients with Amyotrophic Lateral Sclerosis,” 7th International IEEE EMBS on Neural Engineering, 2015.

Y. Shahriari, T.M. Vaughan, D. E. Corda, D. Zeltin, J. R. Wolpaw, D. J. Krusienski, “EEG Correlates of Performance During Long-Term Use of a P300 BCI by Individuals With Amyotrophic Lateral Sclerosis,” Proceedings of the 5th Brain-Computer Interface Meeting, 2013.

Y. Shahriari, A. Erfanian, “Mutual Information Based Brain Channel Selection Scheme for P300- Based Brain Computer Interface,” 5thInternational IEEE EMBS on Neural Engineering, 2011.

professional memberships

Brain-Computer Interface (BCI) Society
IEEE Member
IEEE Engineering in Medicine and Biology Society
IEEE Signal Processing Society
International Society for Computerized Electrocardiology (ISCE)
Society for Neuroscience (SFN)