Delaying the Stall of a Low-Wing Aircraft Using a Novel Powerful Vortex Generator
Published by
Inventions
Summary
Published research on a novel powerful vortex generator to delay stall in low-wing aircraft.
Highly accomplished Aerospace Engineer with a Ph.D. in Aerodynamics, specializing in advanced Computational Fluid Dynamics (CFD), adjoint-based aerodynamic optimization, and AI/Machine Learning applications. Expert in leading complex technical projects from conceptual design to validated results, including the Yasin-2 Advanced Jet Trainer and pioneering AI models for aerodynamic coefficient prediction with up to 94.1% accuracy. Combines deep theoretical knowledge with pragmatic, results-driven engineering to solve real-world aerospace challenges.
Lead Aerospace Research & Development Engineer
Tehran, Tehran Province, Iran (Islamic Republic of)
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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.
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Ph.D.
Aerospace Engineering (Aerodynamics)
Courses
Dissertation: Aerodynamic Optimization of Multi-Element Airfoils using the Adjoint Method
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Master of Science
Aerospace Engineering (Aerodynamics)
Courses
Thesis: Calibration of a 0.4x0.4 m² Supersonic Wind Tunnel
Published by
Inventions
Summary
Published research on a novel powerful vortex generator to delay stall in low-wing aircraft.
Published by
Journal of Solid and Fluid Mechanics
Summary
Research on applying JST and CUSP schemes for aerodynamic optimization using discrete adjoint methods.
Published by
Modares Mechanical Engineering
Summary
Developed a viscous all-speed solver utilizing the Roe Upwind Scheme for enhanced CFD simulations.
Published by
N/A
Summary
Translated J. Seddon's reference book on intake aerodynamics from English to Persian, contributing to local academic resources.
Issued By
MFT
Issued By
MFT
Issued By
MFT
Issued By
MFT
Issued By
MFT
Issued By
MFT
Issued By
MFT
Issued By
MFT
Issued By
MFT
Issued By
MFT
Issued By
MFT
CFD, Aerodynamic Optimization, Wind Tunnel Testing, Aircraft Design, Aerodynamics, Fluid Dynamics, Propulsion Systems, Avionics, Aircraft Structures, Intake Aerodynamics, Exhaust Nozzle Design, NACA Inlets, Vortex Lattice Method (VLM).
CFD Solvers, Adjoint Method, Mesh Generation (Structured, Unstructured, Hybrid), Finite-Volume Grids, All-speed Flows, Incompressible Flows, Supersonic Flows, ANSYS Fluent, Roe Upwind Scheme, JST Scheme, CUSP Scheme.
SOLIDWORKS, Solid Modeling, Surface Modeling, Assemblies, Sheet Metal, Welded Structures, Structural Analysis (Static, Buckling, Thermal, Fatigue, Dynamic), Modal Analysis, Topology Optimization, Mechanical Design.
Data Analysis, Machine Learning (Multivariate Linear/Nonlinear Regression, Classification), Computer Vision, Deep Learning, Natural Language Processing (NLP), Neural Networks, AI-based Aerodynamic Modeling, Ethnicity Classification, Driver Drowsiness Detection, Facial Emotion Recognition.
Python, C++, AVR Microcontrollers, ARM Microcontrollers, Scripting, Automation.
Experimental Design, Data Validation, Technical Project Leadership, Problem Solving, Scientific Methods, Computational Methods, Technical Documentation, Academic Research.
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Summary
Developed and programmed embedded systems using AVR and ARM microcontrollers for various applications.
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Summary
Implemented Python scripting for automation and enhanced workflow efficiency within ANSYS Fluent.
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Summary
Developed and trained deep neural networks on a modified PARSEC framework to predict aerodynamic coefficients with high accuracy.
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Summary
Developed a modified PARSEC airfoil parameterization specifically designed to mitigate overfitting in AI-based aerodynamic modeling.
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Summary
Applied Artificial Intelligence and Machine Learning techniques, including data analysis, regression, classification, computer vision, deep learning, and NLP, leveraging strong mathematical foundations and Python.
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Summary
Executed advanced mechanical design and comprehensive analysis using SOLIDWORKS, encompassing complex modeling, structural analysis, and flow simulations.
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Summary
Developed a comprehensive adjoint-based aerodynamic optimization framework, integrating advanced mesh deformation algorithms for both structured and unstructured grids.
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Summary
Developed advanced laminar and turbulent boundary-layer solvers for incompressible and compressible flows, incorporating transition prediction using 'en' criteria.
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Summary
Designed a novel Powerful Vortex Generator (PVG) to effectively delay stall in low-wing aircraft, published in Inventions journal.
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Summary
Designed critical jet engine components including exhaust nozzles, firewall systems, and NACA inlets, optimizing performance and integration.
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Summary
Developed specialized designs for low-radar-signature jet engine air intakes, enhancing stealth capabilities for airborne platforms.
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Summary
Served as the lead conceptual designer for the Yasin-2 Advanced Jet Trainer aircraft, ensuring compliance with DEF STAN 00970 standards.
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Summary
Designed and fabricated specialized wind tunnel testing equipment, including advanced rotary balance and plunging mechanisms for dynamic aerodynamic measurements.
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Summary
Calibrated the National Low-Speed Industrial Wind Tunnel of Iran and performed extensive aerodynamic tests for the Integral Aircraft (Shafagh Project) and diverse aerospace, automotive, and civil structures.
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Summary
Developed a 2D all-speed finite-volume CFD solver capable of handling hybrid unstructured grids and axisymmetric configurations for diverse flow regimes.
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Summary
Developed specialized expertise in jet engine inlet design and translated a key reference book on intake aerodynamics into Persian.
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Summary
Developed an aircraft aerodynamic coefficient solver leveraging the Vortex Lattice Method (VLM) for efficient aerodynamic analysis.
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Summary
Conducted the calibration of a supersonic wind tunnel as part of MSc thesis research, including experimental-numerical boundary-layer comparison.
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Summary
Developed a one-dimensional simulation code for internal combustion engines as a Bachelor of Science project.