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Invited Speaker: Dr. Iman Borazjani

Invited Speaker: Dr. Iman Borazjani

Invited Speaker: Dr. Iman Borazjani

Dr. Iman Borazjani


Texas A&M University

Associate Professor, Mechanical Engineering

Sallie and Don Davis '61 Faculty Fellow

Phone: 979-458-5787


Office: MEOB 428


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Educational Background

Ph.D., Mechanical Engineering, University of Minnesota — 2008

M.S., Mechanical Engineering, Georgia Institute of Technology — 2005

B.S., Mechanical Engineering, Sharif University of Technology — 2002


Research Interests

Computational fluid dynamics (CFD)

Fluid-structure interaction (FSI)

High-performance computing

Biofluids and cardiovascular flows

bio-inspired propulsion

Image analysis and geometry reconstruction for CFD


Awards & Honors

2020 ASME Fellow

2020 American Institute of Aeronautics and Astronautics (AIAA) senior member

2017-2018 Fulbright Scholar

2015 UB Exceptional Scholars Young Investigator Award, University at Buffalo (UB), State University of New York

2015 NSF CAREER Award

2013 Doctoral New Investigator award, American Chemical Society

2013 Scientific Development award, American Heart Association



Dr. Borazjani is an Associate Professor and the Sallie and Don Davis '61 Faculty Fellow at the J Mike Walker '66 Department of Mechanical Engineering at Texas A&M University. He received his PhD, MSc, and BSc degrees in mechanical engineering from University of Minnesota, Georgia Tech, and Sharif University in 2008, 2005, and 2002, respectively. His research is on developing advanced computational tools for simulating fluid-structure interaction in cardiovascular flows. He is the recipient of the 2013 Scientific Development award from American Heart Association, the 2013 Doctoral New Investigator from American Chemical Society, 2015 CAREER award from National Science Foundation, and 2018 Fulbright award. He is an Associate Fellow of AIAA and a Fellow of ASME.


High-Fidelity Simulations for Improved Cardiovascular Disease Diagnosis and Device Design


Simulations are a powerful tool to uncover the physics of engineering and biomedical flows. Understanding the flow physics is a prerequisite to improve the design of biomedical devices, relate form to function of organs, or relate disease to hemodynamics. Nevertheless, such applications typically involve complex shapes, moving boundaries, fluid-structure interactions, pulsatile flows, and a wide range of scales, which is quite challenging even to the most advanced numerical techniques. We have overcome many of these challenges using our computational framework, parallelized to efficiently utilize high-performance computing clusters, which handles moving bodies using a sharp-interface immersed boundary method, and solves the flow equations and the immersed bodies in a fully implicit manner using a Newton-Krylov method with an analytical Jacobian. A few examples in which high-fidelity simulations have led to discoveries for new parameters for diagnosis/prognosis of a disease such as aneurysms or improving biomedical devices such as heart valves will be presented. At the end, the future developments for advancing knowledge will be discussed.