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    Ali Haghiri

    Research Engineer in Computational Fluid Dynamics at The University of Melbourne

    Ali Haghiri is a Research Engineer in Computational Fluid Dynamics with a Doctor of Philosophy (PhD) from The University of Melbourne. His research spans a wide range of topics including sound generation by turbulent premixed flames, data-driven turbulence modeling in various applications, heat transfer, and natural convection studies.

    During his PhD research, Ali focused on sound generation by turbulent combustion, particularly in gas turbine-based power generation. He conducted direct numerical simulations (DNS) of turbulent flames to gain insights into the sound production process. He also developed a numerical framework to identify combustion noise sources and proposed a model to correlate these sources with far-field sound.

    As a Postdoctoral Research Fellow, he led various projects involving data-driven turbulence modeling with turbomachinery, naval, and race car applications using techniques like DNS, large eddy simulations (LES), machine learning, and symbolic regression. These projects aimed at reducing costs in product design processes through innovation in fluid mechanics, turbulence, heat transfer, and turbulence modeling.

    Ali's expertise includes project management, fluid mechanics, turbulence, heat transfer, CFD code development, mesh generation, numerical setup, high-performance computing (HPC), big-data management, machine learning, data post-processing, and scientific writing. His contributions have implications for industries seeking to enhance efficiency and performance in their design processes.

    Ali Haghiri
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    Location

    Greater Melbourne Area