• Associate Professor, Mechanical Engineering
  • Sallie and Don Davis '61 Faculty Fellow
Iman Borazjani

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

Selected Publications

  • Hedayat, M., Patel, T., Kim, T., Hoffmann, K. R., Belohlavek, M., and Borazjani, I. (2020). A hybrid echocardiography-computational fluid dynamics framework for ventricular flow simulations. International Journal for Numerical Methods in Biomedical Engineering. 36(17), e3352, DOI: 10.1002/CNM.3352
  • Asgharzadeh, H., Shahmohammadi, A., Varble, N., Levy, E., Meng, H., and Borazjani, I. (2020). A Simple Flow Classification Parameter Can Discriminate Rupture Status in Intracranial Aneurysms. Neurosurgery, nyaa189, DOI: 10.1093/neuros/nyaa189
  • Akbarzadeh, A., and Borazjani, I. (2020). Controlling flow separation on a thick airfoil using backward traveling waves. AIAA Journal, 58(9), 3799-3807 DOI: 10.2514/1.J059428
  • Borazjani, I. (2020). A Sharp-Interface Immersed Boundary Method for Compressible Flows with Shock-Particle Interaction. AIAA Journal, 59(4), 1169-1183 doi: 10.2514/1.J059626.
  • Kim, T., Hedayat, M., Vaitkus, V., Belohlavek, M., Krishnamurthy, V. and Borazjani, I. (2020). Automatic Segmentation of the Left Ventricle in Echocardiographic Images Using Convolutional Neural Networks. Quantitative Imaging in Medicine and Surgery, DOI: 10.21037/qims-20-745