I received my PhD in Mechanical Engineering under the supervision of Professor Ali Mani at Stanford University in June 2019. My dissertation focused on the development of numerical methods for simulation of two-phase flows and application to studying micro-bubble generation. Prior to that, I earned my MS from Stanford University and a BS from Sharif University of Technology, both in Mechanical Engineering. I am a recipient of the Gallery of Fluid Motion Award, American Physical Society Division of Fluid Dynamics in 2018 (video).
Phys Sci Res Assoc, Mechanical Engineering
PhD, Stanford University, Mechanical Engineering (2019)
Current Research and Scholarly Interests
In a general sense, I am interested in multiphase flow problems involving interactions of multiple physical phenomena across a wide range of scales and Reynolds numbers. My research aims to develop robust and physically consistent computational schemes that enable high-fidelity simulations of such flows. These developments build upon my novel diffuse interface (phase field) modeling approach and my multiphase flow software. In this pursuit, I focus on ease of adoption, cost-efficiency, and parallel scalability. In addition, I use asymptotic analyses, data-driven models (e.g., neural networks), and numerical simulations, to construct reduced-order models (ROMs) that can be used for affordable engineering analysis, control, design, and especially optimization.
I am interested in a wide range of applications involving impactful problems. In particular, I am passionate about improving the predictive understanding of multiphase flows in:
- Additive manufacturing processes
- Biophysical systems
- Energy systems
- Environmental settings