Amirhossein Arzani

Dr. Amirhossein Arzani is an esteemed Assistant Professor of Mechanical Engineering at the Scientific Computing and Imaging Institute. His academic journey began with a Bachelor of Science degree from Isfahan University of Technology, followed by a Master of Science from the Illinois Institute of Technology, and culminating in a Ph.D. from the University of California, Berkeley, all in the field of Mechanical Engineering. His scholarly pursuits have been marked by a deep commitment to advancing the understanding of fluid dynamics through innovative computational methods. Before his current role, Dr. Arzani honed his expertise as a postdoctoral researcher at UC Berkeley, where he delved into complex fluid flow phenomena. He later served as an Assistant Professor at Northern Arizona University, where he further developed his research agenda and contributed significantly to the academic community. His research group is at the forefront of utilizing scientific computing tools to model unsteady fluid flow problems, with a particular emphasis on cardiovascular flows and image-based blood flow modeling. Dr. Arzani's research interests are diverse and interdisciplinary, encompassing scientific machine learning, data-driven modeling, computational fluid dynamics, and computational structural mechanics. He is also deeply engaged in exploring mass transport, dynamical systems, and cardiovascular biomechanics, aiming to bridge the gap between theoretical models and practical applications in these fields. A testament to his contributions to the field, Dr. Arzani is a recipient of the prestigious NSF CAREER Award, which recognizes his innovative research and commitment to education. His work not only advances the scientific understanding of fluid dynamics but also has significant implications for improving cardiovascular health through better modeling and simulation techniques. In addition to his research, Dr. Arzani is dedicated to mentoring the next generation of engineers and scientists. He actively involves students in his research projects, fostering a collaborative and dynamic learning environment. His teaching philosophy emphasizes the integration of theoretical knowledge with practical skills, preparing students to tackle complex engineering challenges. Dr. Arzani's contributions to the field of mechanical engineering and his dedication to scientific inquiry continue to inspire both his peers and students. His work exemplifies the transformative potential of scientific computing in addressing real-world problems, particularly in the realm of cardiovascular health and beyond.