Yalda Shahriari

Yalda Shahriari is a dedicated professional with a strong background in Neural Engineering and Computational Neuroscience, Biomedical Signal Processing, Brain-Computer Interfaces for Assistive Technology, Machine Learning Algorithms, and Health Unit Data Analysis.

She is currently involved in cutting-edge research projects such as investigating brain connectivity patterns in Parkinson's disease patients, analyzing brain synchrony in schizophrenia mouse models, decoding cortical activity in epilepsy patients, and developing intelligent machine learning algorithms for ICU alarm fatigue.

Yalda has also worked on projects involving brain activity in patients with ALS, developing brain-computer interface systems, EEG analysis for patients with disorders of consciousness, and more, all aimed at understanding brain function and improving the quality of life for patients with neurological impairments.

She holds a Master's degree in Biomedical/Medical Engineering from Iran University of Science and Technology, a Bachelor's degree in Electrical and Electronics Engineering from Ferdowsi University of Mashhad, and a Ph.D. in Biomedical/Medical Engineering from Old Dominion University.

Yalda's professional experience includes serving as an Assistant Professor at the University of Rhode Island, a Postdoctoral Scholar at UCSF Medical Center, a Graduate Research Assistant at the Advanced Signal Processing in Engineering and Neuroscience (ASPEN) lab, a Research and Development Engineer at an ophthalmic equipment distributor company, and a Graduate Research Assistant at the Iran Neural Technology Center/IUST.