Ph.D. in Mechanical Engineering – Energy Conversion

 
PROFESSIONAL SUMMARY
Mechanical Engineer and Researcher with expertise in Aerodynamics, Computational Fluid Dynamics (CFD), Artificial Intelligence, Scientific Computing, Numerical Methods, and High-Performance Engineering Simulations. Experienced in developing advanced simulation tools, implementing aerodynamic solvers from scratch, and integrating machine learning techniques with engineering workflows.

Strong background in aerospace applications, rotorcraft aerodynamics, vortex methods, boundary element methods, optimization, and scientific software development.

Passionate educator, researcher, and technology innovator with extensive experience in multidisciplinary projects spanning mechanical engineering, aerospace engineering, biomedical engineering, and artificial intelligence.

 
EDUCATION
Ph.D. in Mechanical Engineering (Energy Conversion)

Specialization:

Aerodynamics
CFD
Numerical Methods
Energy Systems
Scientific Computing
M.Sc. in Mechanical Engineering

Focus:

Fluid Mechanics
Heat Transfer
Computational Methods
B.Sc. in Mechanical Engineering
 
RESEARCH INTERESTS
Computational Fluid Dynamics (CFD)
Aerodynamics and Aerospace Engineering
Rotorcraft Aerodynamics
Wind Turbine Aerodynamics
Unsteady Aerodynamics
Vortex Dynamics
Panel Methods
Boundary Element Methods
Vortex Lattice Method (VLM)
Unsteady Vortex Lattice Method (UVLM)
Computational Aeroacoustics
Flow Optimization
Artificial Intelligence in Engineering
Machine Learning for Engineering Applications
Scientific Computing
High Performance Computing (HPC)
Digital Twin Technologies
 
TECHNICAL EXPERTISE
CFD & Simulation
ANSYS Fluent
ANSYS CFX
ANSYS Meshing
ICEM CFD
TurboGrid
OpenFOAM
STAR-CCM+
COMSOL Multiphysics
Pointwise
Turbulence Models
k-ε
RNG k-ε
Realizable k-ε
k-ω
SST k-ω
LES
DES
Hybrid Models
 
Aerodynamics
Airfoil Analysis
Wing Design
Rotor Aerodynamics
Propeller Aerodynamics
Helicopter Aerodynamics
Wind Turbine Aerodynamics
Vortex Wake Modeling
Compressible Flows
Boundary Layer Analysis
Aeroelasticity
 
Programming Languages
Fortran
C
C++
Python
MATLAB
Julia
Java
Kotlin
Rust
CUDA
OpenMP
MPI
Bash
 
Scientific Computing
PETSc
Eigen
BLAS
LAPACK
FFTW
Trilinos
HDF5
NetCDF
 
Artificial Intelligence
Machine Learning
Deep Learning
Neural Networks
Generative AI
Large Language Models (LLMs)
Computer Vision
Reinforcement Learning
Physics-Informed Neural Networks (PINNs)
Scientific Machine Learning
AI-assisted Engineering Design
Frameworks
TensorFlow
PyTorch
Keras
Scikit-Learn
Hugging Face
LangChain
 
CAD / CAE
SolidWorks
CATIA
Rhino
ANSYS SpaceClaim
AutoCAD
Blender
 
PROFESSIONAL EXPERIENCE
University Lecturer and Researcher
Teaching undergraduate and graduate courses in Fluid Mechanics, Thermodynamics, Heat Transfer, Numerical Methods, CFD, and Engineering Simulation.
Supervising student research projects.
Developing advanced CFD workflows for aerospace and energy applications.
Conducting interdisciplinary research involving AI and engineering systems.
 
SELECTED PROJECTS
Development of a Fortran-Based Aerodynamic Solver
Implementation of Vortex Lattice Method (VLM)
UVLM Development
PETSc Integration
Parallel Processing
Large Scale Aerodynamic Simulations
Rotor Aerodynamics and Optimization
Blade Design
Wake Modeling
Aerodynamic Optimization
Structural Coupling
AI-Assisted Engineering Platform
Integration of Deep Learning and CFD
Surrogate Modeling
Optimization Automation
CFD Analysis of Rotating Machinery
Rotating Domains
Sliding Mesh
MRF Simulations
Aeroacoustic Assessment
 
TEACHING EXPERIENCE
Fluid Mechanics
Thermodynamics
Heat Transfer
Numerical Methods
Computational Fluid Dynamics
Artificial Intelligence in Engineering
Programming for Engineers
 
LANGUAGES
Persian (Native)
English (Professional Working Proficiency)
 
KEYWORDS
CFD | Aerodynamics | Aerospace Engineering | AI | Machine Learning | Scientific Computing | Fortran | Python | C++ | Fluent | CFX | OpenFOAM | VLM | UVLM | HPC | Numerical Methods | Optimization | Rotor Dynamics | Deep Learning | Engineering Simulation