Mostafa Goharshadi

Aerospace Engineer (Ph.D.) – CFD, Aerodynamic Optimization, AI & Mechanical Design
Tehran, IR.

About

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.

Work

K. N. Toosi University of Technology / Sharif University of Technology / National Aerospace Research Center
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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.

Education

K. N. Toosi University of Technology
Tehran, Tehran Province, Iran (Islamic Republic of)

Ph.D.

Aerospace Engineering (Aerodynamics)

Courses

Dissertation: Aerodynamic Optimization of Multi-Element Airfoils using the Adjoint Method

Sharif University of Technology
Tehran, Tehran Province, Iran (Islamic Republic of)

Master of Science

Aerospace Engineering (Aerodynamics)

Courses

Thesis: Calibration of a 0.4x0.4 m² Supersonic Wind Tunnel

Publications

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.

Using JST and CUSP Schemes in Aerodynamic Optimization Based on Discrete Adjoint Method

Published by

Journal of Solid and Fluid Mechanics

Summary

Research on applying JST and CUSP schemes for aerodynamic optimization using discrete adjoint methods.

Viscous All-Speed Solver Development Based on Roe Upwind Scheme

Published by

Modares Mechanical Engineering

Summary

Developed a viscous all-speed solver utilizing the Roe Upwind Scheme for enhanced CFD simulations.

Intake Aerodynamics (Translation)

Published by

N/A

Summary

Translated J. Seddon's reference book on intake aerodynamics from English to Persian, contributing to local academic resources.

Languages

Persian
English

Certificates

AVR Micro-Controllers

Issued By

MFT

ARM Micro-Controllers

Issued By

MFT

Mechanical Design by SOLIDWORKS I

Issued By

MFT

Mechanical Design by SOLIDWORKS II

Issued By

MFT

Mechanical Design by SOLIDWORKS III

Issued By

MFT

Programming C++

Issued By

MFT

Programming with Python

Issued By

MFT

Data Analysis with Python

Issued By

MFT

Machine Learning with Python

Issued By

MFT

Deep Learning with Python

Issued By

MFT

NLP with Python

Issued By

MFT

Skills

Aerospace Engineering

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).

Computational Fluid Dynamics (CFD)

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.

Mechanical Design & Analysis

SOLIDWORKS, Solid Modeling, Surface Modeling, Assemblies, Sheet Metal, Welded Structures, Structural Analysis (Static, Buckling, Thermal, Fatigue, Dynamic), Modal Analysis, Topology Optimization, Mechanical Design.

Artificial Intelligence & Machine Learning

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.

Programming & Embedded Systems

Python, C++, AVR Microcontrollers, ARM Microcontrollers, Scripting, Automation.

Research & Project Leadership

Experimental Design, Data Validation, Technical Project Leadership, Problem Solving, Scientific Methods, Computational Methods, Technical Documentation, Academic Research.

Projects

Embedded Systems Development (AVR/ARM)

Summary

Developed and programmed embedded systems using AVR and ARM microcontrollers for various applications.

ANSYS Fluent Automation with Python

Summary

Implemented Python scripting for automation and enhanced workflow efficiency within ANSYS Fluent.

AI-based Aerodynamic Coefficient Prediction

Summary

Developed and trained deep neural networks on a modified PARSEC framework to predict aerodynamic coefficients with high accuracy.

Modified PARSEC Airfoil Parameterization

Summary

Developed a modified PARSEC airfoil parameterization specifically designed to mitigate overfitting in AI-based aerodynamic modeling.

Artificial Intelligence & Machine Learning Applications

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.

AI/ML Computer Vision & NLP Projects

Summary

Developed several AI/ML projects focusing on computer vision and natural language processing applications, including facial analysis and language translation systems.

Advanced Mechanical Design & Analysis with SOLIDWORKS

Summary

Executed advanced mechanical design and comprehensive analysis using SOLIDWORKS, encompassing complex modeling, structural analysis, and flow simulations.

Adjoint-Based Aerodynamic Optimization Framework

Summary

Developed a comprehensive adjoint-based aerodynamic optimization framework, integrating advanced mesh deformation algorithms for both structured and unstructured grids.

Boundary-Layer Solvers Development

Summary

Developed advanced laminar and turbulent boundary-layer solvers for incompressible and compressible flows, incorporating transition prediction using 'en' criteria.

Powerful Vortex Generator (PVG) Design for Stall Delay

Summary

Designed a novel Powerful Vortex Generator (PVG) to effectively delay stall in low-wing aircraft, published in Inventions journal.

Jet Engine Components Design

Summary

Designed critical jet engine components including exhaust nozzles, firewall systems, and NACA inlets, optimizing performance and integration.

Low-Radar-Signature Jet Engine Air Intake Design

Summary

Developed specialized designs for low-radar-signature jet engine air intakes, enhancing stealth capabilities for airborne platforms.

Yasin-2 Advanced Jet Trainer Design

Summary

Served as the lead conceptual designer for the Yasin-2 Advanced Jet Trainer aircraft, ensuring compliance with DEF STAN 00970 standards.

Wind Tunnel Testing Equipment Design & Fabrication

Summary

Designed and fabricated specialized wind tunnel testing equipment, including advanced rotary balance and plunging mechanisms for dynamic aerodynamic measurements.

National Low-Speed Industrial Wind Tunnel Calibration & Testing

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.

2D All-Speed Finite-Volume CFD Solver

Summary

Developed a 2D all-speed finite-volume CFD solver capable of handling hybrid unstructured grids and axisymmetric configurations for diverse flow regimes.

Jet Engine Inlet Design & Intake Aerodynamics Translation

Summary

Developed specialized expertise in jet engine inlet design and translated a key reference book on intake aerodynamics into Persian.

Vortex Lattice Method (VLM) Aerodynamic Solver

Summary

Developed an aircraft aerodynamic coefficient solver leveraging the Vortex Lattice Method (VLM) for efficient aerodynamic analysis.

Supersonic Wind Tunnel Calibration (MSc Thesis)

Summary

Conducted the calibration of a supersonic wind tunnel as part of MSc thesis research, including experimental-numerical boundary-layer comparison.

1D Internal Combustion Engine Simulation Code

Summary

Developed a one-dimensional simulation code for internal combustion engines as a Bachelor of Science project.