Mostafa Mahmoudi, PhD

Dr. Mahmoudi received his Ph.D. degree in bioengineering from Northern Arizona University, where he was a presidential fellow. His research interests have include utilization of modern computational tools for simulation and prediction of cardiovascular disease (CVD), the leading cause of mortality and morbidity in the US. His research has focused on developing novel solutions in CVD diagnostics   using numerical modeling and machine learning algorithms. These solutions and algorithms can be used to uncover the role of hemodynamics in the progression of atherosclerosis, to study the effect of atherosclerotic plaques on the distribution of blood and oxygen in the heart tissue, or to develop novel calibration and quality enhancement models for medical imaging techniques. His current work is dedicated to computational modeling of the microvascular tree and examination of network density using imaging data as targets.