K. N. Toosi University of Technology / Sharif University of Technology / National Aerospace Research Center
|Lead Aerospace Research & Development Engineer
Tehran, Tehran Province, Iran (Islamic Republic of)
Summary
Led extensive research and development initiatives in aerospace engineering, specializing in advanced computational fluid dynamics (CFD), aerodynamic optimization, and the application of artificial intelligence for complex aircraft systems.
Highlights
Spearheaded the commissioning of a supersonic wind tunnel (1995–1998), successfully producing the first validated aerodynamic results and establishing foundational research capabilities.
Played a major role in establishing low-speed wind tunnels and designing advanced aerodynamic test rigs (rotary balance, plunging systems), yielding validated test results across two distinct periods (1998–2002, 2010–2020).
Established a parallel-processing CFD center (2002–2005) and developed advanced structured and unstructured mesh generation techniques for complex geometries, enhancing computational efficiency and solver capabilities by 2009.
Pioneered the advanced development of CFD solvers and adjoint-based aerodynamic optimization methods for all-speed flows (incompressible to supersonic), utilizing hybrid unstructured finite-volume grids since 2009 to achieve optimal designs.
Expanded core aerodynamic expertise to encompass comprehensive aircraft design and testing, integrating knowledge in structures, propulsion, and avionics at a national aircraft design center (2017–2022).
Served as Lead Designer for the preliminary and detailed design of the Yasin-2 Advanced Jet Trainer aircraft (2020–2021), ensuring compliance with DEF STAN 00970 standards.
Actively engaged in Artificial Intelligence and Machine Learning applications since 2022, developing solutions for aerodynamics, computer vision, and natural language processing, including AI-based aerodynamic coefficient prediction with up to 94.1% accuracy.