Roles
Asst. Professor of Clinical Radiation Oncology
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Biography
Siamak P. Nejad-Davarani received his Ph.D. in Biomedical Engineering from the University of Michigan in 2014, and did his post-doctoral fellowship at the Radiology Department at the University of Michigan Hospital in 2016. He also received an M.Sc. in Electrical Engineering from Ferdowsi University of Mashhad and an M.Sc. in Computer Science from Wayne State University. From 2003 to 2015, he was a researcher at the Department of Neurology and the NMR Lab at Henry Ford Health System, where worked on different aspects of neuroimaging and particularly on applications of MRI in characterization of neurological disorders based on quantitative MRI methods. In 2016 he joined the Radiation Oncology department at Henry Ford Health System where he focused on applications of MRI in RT, including assessment of distortions on the low-field MR-linac and developing methods to assess response of brain tumors to Radiation Therapy using serial quantitative MR images acquired at 0.35T for which he received the ASTRO/AAPM Early Investigator Award in 2019. After completing his residency in Therapeutic Medical Physics at the University of Michigan in 2022, he joined the Radiation Oncology Department at the University of Miami Miller School of Medicine. He has served as a reviewer for medical journals such as Medical Physics, Medical Dosimetry, Journal of Cerebral Blood Flow and Metabolism, and International Journal of Radiation Oncology, Biology, Physics. -
Education & Training
Education
Post Graduate Training
Licensures and Certifications
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Honors & Awards
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Teaching Interests
Dr. Nejad-Davarani currently teaches the graduate level Radiation Therapy Physics course for Biomedical Engineering/Medical Physics program at the University of Miami. He also has experience in teaching Electrical Engineering courses such as Electrical Instrumentation, Digital Circuits and Microwave Systems. -
Research Interests
Dr. Nejad-Davarani’s research interests is centered on quantitative imaging, and MRI biomarkers. Some of his research work includes developing methods for characterization of head and neck tumor tissue using time-dependent diffusion weighted MRI, and estimation of DCE-MRI based pharmacokinetic parameters of cerebral tumors using a novel model of the cerebral vascular system. One of his current research interests is developing quantitative MRI parameters on the low-field MR-linac that can indicate response to therapy and can ultimately be used within an Adaptive Radiation Therapy (ART) framework. -
Publications
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Professional Activities
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