Yalda Shahriari

Yalda Shahriari is an Associate Professor in the Department of Electrical, Computer, and Biomedical Engineering at the University of Rhode Island. Her research focuses on neural engineering, biomedical signal processing, and brain-computer interfaces for assistive technology.

Education

• Postdoctoral Research Associate, University of California, San Francisco (2016)
• Ph.D., Biomedical Engineering, Old Dominion University (2015)
• M.Sc., Biomedical Engineering, Iran University of Science and Technology (2011)
• B.Sc., Electrical Engineering, Ferdowsi University of Mashad (2008)

Research Interests include graph-based neural dynamics modeling, multimodal neuroimaging (EEG/fNIRS), and machine learning for healthcare. She develops hybrid BCI systems to assist patients with amyotrophic lateral sclerosis (ALS) and parkinson’s disease, emphasizing personalized algorithms and nonlinear neural modeling.

Publication Trends show a focus on graph theory, machine learning, and hybrid BCI systems for neurological disorders. Her work integrates fNIRS, EEG, and motion capture to study brain-body interactions.

Grants include multiple National Science Foundation (NSF) projects as Principal Investigator, covering smart textile NICU monitoring, auditory processing dynamics, and personalized BCI algorithms for ALS patients.