PhD Researcher | Computational Engineer | CFD | FEA | Data Analysis

Hello! I’m a PhD researcher in Mathematical Analysis, Modelling, and Applications with an Aerospace and Astronautical Engineering background. I specialize in computational mechanics, data analysis, scientific computing, FEA, CFD, Reduced-Order Modeling (ROM), and physics-based simulation.

My work combines high-fidelity modeling, data analysis, ROM, machine learning, parametric optimization, and surrogate modeling. I analyze simulation, sensor, and operational data via preprocessing, exploratory/statistical analysis, visualization, validation, error assessment, and predictive modeling. I develop intrusive/non-intrusive ROMs with neural networks, autoencoders, kernel methods, and ML-based coefficient prediction for faster simulations.

My experience spans structural mechanics, fluid dynamics, thermo-fluid systems, aeroacoustics, thermomechanics, transient dynamics, multiphysics, system identification, and data analysis across academic, industrial, and freelance work.

Core Expertise:

- Data Analysis: Preprocessing, EDA, statistics, simulation/sensor/operational data, visualization, validation, model comparison, error analysis, prediction

- FEA: Structural mechanics, orthotropic structures, contact, transient dynamics, thermomechanics, coupled physics

- CFD: Internal/external, turbulent and compressible flows, thermo-fluid systems, aeroacoustics, flow analysis

- ROM: Projection/data-driven ROMs, POD, neural-network surrogates, autoencoders, rapid parametric prediction

- Scientific ML: Neural networks, latent-space and kernel methods, surrogate modeling, ML-assisted simulation

- Parametric Modeling & Optimization: Parametric PDEs, multi-objective optimization, design exploration, uncertainty workflows, many-query simulations

- Multiphysics & Thermal Modeling: Heat transfer, thermomechanics, solar-thermal systems, coupled thermal/structural simulations, 0D/1D models

- Scientific Programming: Python, C++, MATLAB for numerical algorithms, automation, data processing, validation, post-processing

- CAE: ANSYS Workbench/Mechanical/CFX/Fluent, Abaqus, COMSOL, OpenFOAM, FEniCS, HyperMesh/HyperWorks, Mechanical APDL, Nastran, Gmsh

- CAD: FreeCAD, CATIA, SolidWorks, GeoCreate

- Scientific Software Development: Git, code review, testing, CI/CD, numerical validation, documentation

- System Identification: Reduced-order acoustic models, CFD-based system identification, data analysis, validation, predictive modeling

I use PyTorch, SciPy, Scikit-learn, RBniCS, and EZyRB for numerical, data-analysis, and ML workflows.

Whether you need CFD/FEA, data analysis, a custom numerical solver, ROM, parametric optimization, Python/C++/MATLAB development, or an ML surrogate, I can support projects from mathematical formulation and data preparation through implementation, verification, analysis, visualization, and reporting.

My goal is to deliver efficient, reproducible solutions for each project’s physics, data, and requirements.