معرفی
Siamak Ardekani is a Senior Lecturer in the Department of Biomedical Engineering and the Department of Medicine at Johns Hopkins University. He holds a PhD in Biomedical Engineering from UCLA (2006), an MD from Shiraz University of Medical Sciences (1993), and an MS in Biomedical Engineering from Drexel University (2000). His research focuses on computational medical imaging, particularly MRI, to develop statistical shape and function models for early disease detection and therapy monitoring in neurological and cardiovascular disorders. His work emphasizes extracting clinically relevant data from medical images to aid in patient risk assessment and treatment efficacy evaluation. Ardekani's contributions include advancements in cardiac MRI analysis, diffusion tensor imaging (DTI), and automated anatomical modeling.
He received the Johns Hopkins Discovery Award in 2020 for multidisciplinary research. His affiliations include the Center for Imaging Science at Johns Hopkins. Ardekani’s research spans computational methods for cardiac motion analysis, MRI-based disease phenotyping, and image registration techniques. He collaborates on projects such as the Cardiovascular Research Grid (CVRG), enhancing data sharing and analysis in cardiovascular studies. His work bridges medicine and engineering, with applications in both clinical and preclinical settings.
