Assist. Prof. Dr. Saba Amiri | Biology | Best Researcher Award
Shahid Beheshti University of Medical Sciences | Iran
Assist. Prof. Dr. Saba Amiri, an accomplished biomedical engineer and neuroscientist, has established herself as a leading figure in biomedical engineering, neuroimaging, and neuroscience research. She earned her Ph.D. in Biomedical Engineering from Tehran University of Medical Sciences and her M.Sc. in Biomedical Engineering from Shiraz University of Medical Sciences , where she consistently ranked among the top students in her cohort. Professionally, Dr. Amiri has served as Assistant Professor at the Neuroscience Research Center of Shahid Beheshti University of Medical Sciences since , while previously holding roles as research assistant, clinical researcher, and lecturer at leading Iranian universities and hospitals. She has also collaborated with international institutions such as the University of Antwerp, contributing to longitudinal fMRI studies on Alzheimer’s disease. Her research interests include biomedical engineering, neural engineering, neurorehabilitation, medical imaging, machine learning, deep brain stimulation, and the use of artificial intelligence in clinical neuroscience. Skilled in neuroimaging software such as SPM, FSL, DPARSF, and BRAPH, along with proficiency in Matlab, Python, and C#, she applies advanced computational and statistical methods to investigate brain connectivity, psychiatric disorders, and neurodegenerative diseases. Dr. Amiri’s work has produced impactful publications in prestigious journals such as npj Aging, Epilepsy & Behavior, Progress in Neuro-Psychopharmacology and Biological Psychiatry, and Annals of General Psychiatry, alongside presentations at IEEE EMBC conferences. Her excellence has been recognized through numerous awards, including first rank in the national Ph.D. entrance exam in biomedical engineering, the Best Platform Presentation Award, and first place in the Value Creation of Clinical Research competition at the Brain Mapping Symposium. With her strong academic background, technical expertise, and dedication to advancing neuroscience, Dr. Amiri exemplifies the qualities of an innovative scholar and is highly deserving of the Best Researcher Award for her outstanding contributions to science and society.
Profile: Orcid | Google Scholar
Featured Publications
Amiri, S., Arbabi, M., Kazemi, K., Parvaresh-Rizi, M., & Mirbagheri, M. M. (2021). Characterization of brain functional connectivity in treatment-resistant depression. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 111, 110346.
Amiri, S., Mirbagheri, M. M., Asadi-Pooya, A. A., Badragheh, F., Zibadi, H. A., & others. (2021). Brain functional connectivity in individuals with psychogenic nonepileptic seizures (PNES): An application of graph theory. Epilepsy & Behavior, 114, 107565.
Amiri, S., Mehvari-Habibabadi, J., Mohammadi-Mobarakeh, N., & others. (2020). Graph theory application with functional connectivity to distinguish left from right temporal lobe epilepsy. Epilepsy Research, 167, 106449.
Amiri, S., Movahedi, M. M., Kazemi, K., & Parsaei, H. (2017). 3D cerebral MR image segmentation using multiple-classifier system. Medical & Biological Engineering & Computing, 55(3), 353–364.
Zareie, M., Parsaei, H., Amiri, S., Awan, M. S., & Ghofrani, M. (2018). Automatic segmentation of vertebrae in 3D CT images using adaptive fast 3D pulse coupled neural networks. Australasian Physical & Engineering Sciences in Medicine, 41(4), 1009–1020.