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    Yalda Shahriari, PhD

    TitlePostdoctoral Scholar-Employee
    SchoolUCSF School of Nursing
    DepartmentPhysiological Nursing
    Address2 Koret Way
    San Francisco CA 94143
    Phone415-502-0911
    EmailYalda.Shahriari@ucsf.edu
    vCardDownload vCard

      Collapse Biography 
      Collapse Education and Training
      University of California, San Francisco (UCSF) Postdoctoral ScholarPhysiological Nursing 2015
      Old Dominion University of VirginiaPh.D. Biomedical Engineering2015
      Iran University of Science and TechnologyM.Sc.Biomedical Engineering2011
      Ferdowsi University of Mashad B.Sc.Electrical Engineering 2008

      Collapse Overview 
      Collapse Overview
      My main research focuses are biomedical signal processing and cognitive neuroscience contributing to the medical health societies. My expertise is in advanced signal processing and machine learning algorithms applied to neural engineering and cognitive neuroscience research.

      Collapse Interests
      Biomedical Signal Processing, Neuroengineering and Cognitive Neuroscience, Brain-Computer Interface for Assistive Technology, Healthcare Unit Data Analysis, Statistical Analyses and Modeling, Machine Learning and Pattern Recognition

      Collapse ORNG Applications 
      Collapse Featured Publications

      Collapse Bibliographic 
      Collapse Publications
      Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
      List All   |   Timeline
      1. The Effect of Deep Brain Stimulation on Pllido-Cortical coherency Pattern of Parkinson’s Disease. Proceedings of the 6th International Brain-Computer Interface Meeting, DOI: 10.3217/978-3-85125-467-9-116. 2016; 116.
      2. Frontal-Temporal Connectivity Dysfunction in a Mouse Model of Schizophrenia. Proceedings of the 6th International Brain-Computer Interface Meeting, DOI: 10.3217/978-3-85125-467-9-209. 2016; 209.
      3. Yalda Shahriari, Ph.D., Dean Krusienski, Ph.D., Yamini Sureka Dadi, B.S., Misun Seo, M.S., Hee-Sup Shin, M.D., Ph.D., Jee Hyun Choi, Ph.D. . Impaired auditory evoked potentials and oscillations in frontal and auditory cortex of a schizophrenia mouse model. World Journal of Biological Psychiatry. 2016.
      4. Yong Bai, Quan Ding, Duc Do, Richard Fidler, Jorge Arroyo Palacios, Yalda Shahriari, Michele M. Pelter, Noel Boyle, and Xiao Hu. . Is the Sequence of SuperAlarm Triggers more Predictive than Sequence of the Currently Utilized Patient Monitor Alarms?. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. 2016.
      5. Y. Shahriari, E.W. Sellers, L.M. McCane, T.M. Vaughan, and D.J. Krusienski. . Directional Brain Functional Interaction Analysis in Patients with Amyotrophic Lateral Sclerosis. 7th Annual International IEEE EMBS Conference on Neural Engineering, ISBN: 978-1-4673-6389-1. 2015.
      6. Yalda Shahriari, Quan Ding, Richard Fidler, Michele Pelter, Yong Bai, Andrea Villaroman, Xiao Hu. . Poor ECG Signal Quality Associated with False Arrhythmia Alarms. Society of Critical Care Medicine’s (SCCM) 45th Critical Care Congress. 2015.
      7. Y. Shahriari, D. Krusienski, H.S. Shin, J.H. Choi. . Using Auditory Steady State Responses to Characterize Neural Connectivity in Mice Models of Schizophrenia. Society for Neuroscience (SFN), Washington DC. 2014.
      8. Y. Shahriari, T. M. Vaughan, D. E. Corda, D. Zeitlin, 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 Fifth International Brain-Computer Interface Meeting, DOI:10.3217/978-3-85125-260-6-29. 2013.
      9. Y. Shahriari, A. Erfanian. . Improving the Performance of P300-based Brain–Computer Interface through Subspace-based Filtering. Neurocomputing journal. 2013; 121:434-441.
      10. Yalda Shahriari and Abbas Erfanian. . A Mutual Information Based Channel Selection Scheme for P300- Based Brain Computer Interface. Proceedings of the 5th International IEEE EMBS Conference on Neural Engineering, ISBN: 978-1-4244-4141-9. 2011.
      11. Y. Shahriari , A. Erfanian. . An Improved P300 Based Brain - Computer Interface: Feature Selection Based Mutual Information. 18th International Conference on Biomedical Engineering, ICBME. 2011.
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