Vida Abedi

Vida Abedi, PhD, MS is an active Associate Professor in the Department of Public Health Sciences with a substantial research portfolio focused on stroke outcomes and public health. She has accumulated 10,326 citations with an h-index of 30, reflecting significant impact in her field of research.

Her research interests span multiple critical areas in public health and neurology, with particular expertise in ischemic stroke, electronic health records analysis, health disparities among stroke survivors, and machine learning applications in healthcare. Her work contributes to UN Sustainable Development Goals related to health and well-being, with research that addresses critical gaps in stroke survivorship and healthcare delivery.

Analysis of her recent publications (2025) reveals a strong focus on stroke survivorship in the United States, with research examining physical activity adherence, mental health outcomes, and health disparities. She also maintains active work in health informatics, developing tools for electronic health record analysis and contributing to ophthalmology research related to ocular hypertension. Her research demonstrates interdisciplinary collaboration across public health, neurology, and data science.

Vida Abedi serves as Principal Investigator on an active National Institute of Neurological Disorders and Stroke project titled 'Machine Learning Prediction of 1-Year Mortality and Recurrence after Ischemic Stroke Using Enriched EHR data' (2023-2025), working with Co-PI R. Zand. This NIH-funded research represents her current focus on applying machine learning techniques to predict stroke outcomes using enriched electronic health record data.

Her publication record shows consistent productivity since 2010, with a notable increase in output in recent years (13 publications in 2022, 8 in 2023, 12 in 2024, and 8 in 2025). She has produced a total of 133 research outputs including 91 articles, 19 review articles, 12 book chapters, and various other scholarly contributions.