Ehsan Naghavi

Ehsan's research focuses on employing deep neural networks to increase the efficiency of physics-based cardiovascular models. These models typically rely on conventional numerical methods, making patient-specific personalization very time-consuming and computationally expensive. Ehsan's goal is to develop rapid frameworks based on neural networks to address this issue, contributing to personalized medical diagnosis and treatment in clinical settings. Holding a Bachelor's degree in Mechanical Engineering from Sharif University of Technology and currently pursuing a Ph.D. at Michigan State University, Ehsan aims to continue working on bridging the gap between computational modeling and real-world applications.