Education

• MS, Mechanical Engineering, Illinois Institute of Technology
• PhD, Mechanical Engineering, UC Berkeley

Research Summary

Dr. Arzani's group utilizes modern scientific computing tools for modeling, processing, and fundamental understanding of unsteady fluid flow problems with a particular emphasis on cardiovascular flows and image-based blood flow modeling. More recently, his group has focused on scientific machine learning approaches (physics-informed machine learning and sparse data-driven modeling) for modeling blood flow.

Biography