Computational Modelling Engineer
Thermal-Flow & Multiphysics | CFD & Numerical Software | Physics-Based Simulation | V&V | R&D Design Support
Den Haag, Netherlands
Download CV Download Portfolio GitHub LinkedInI am a computational modelling engineer focused on physics-based simulation, multiphysics modelling, validation, and R&D decision support. My work combines first-principles analysis, reduced-order modelling, high-fidelity simulation comparison, and scientific programming to make complex physical behaviour understandable and useful for engineering decisions.
My experience spans thermo-fluid, electro-thermal, thermo-mechanical, electromagnetic, structural, and numerical solver validation problems. I am especially interested in applying computational modelling and virtual prototyping to complex product-development environments, including electronics cooling, healthcare technology, medical-device R&D, and high-performance hardware systems.
My modelling approach starts with the engineering question and the dominant physical mechanisms. I use simplified models where they are useful, compare them against high-fidelity simulations or benchmark references where possible, and define the limits of applicability before drawing conclusions.
Developed a simplified mechanical and thermal design workflow for a high-power PCIe-style AI accelerator card. The project combines first-principles thermal resistance sizing, TIM and airflow sensitivity studies, passive and vapor-chamber tradeoff analysis, forced-air heatsink screening, and first-pass ANSYS Fluent conjugate heat-transfer CFD.
Analytical screening showed that the compact baseline heatsink was not sufficient for the 250 W chip load. A larger 80 mm × 100 mm × 50 mm forced-air heatsink was selected for the CFD stage after evaluating passive cooling, compact forced-air cooling, and spreading improvements using copper/vapor-chamber assumptions.
The first-pass CFD model predicted a maximum chip temperature of approximately 76 °C, below the 85 °C target, with a pressure drop of 28.8 Pa and an air-side heat-balance error below 1% under the assumed 5 m/s guided airflow condition.
Tools: Python, NumPy, Pandas, Matplotlib, ANSYS Fluent, thermal resistance modelling, conjugate heat transfer, heatsink design, verification and validation.
Developed sequential simulation workflows linking electromagnetic loss, temperature rise, thermo-mechanical deformation, and response change in thermally loaded high-frequency hardware. The work focused on understanding how coupled physical effects propagate across domains and how model results can inform design sensitivity and performance-risk assessment.
Developed first-principles thermal screening models using conduction, radiation, and natural convection to estimate heat-rejection limits in integrated high-power hardware. Simplified predictions were compared with detailed 3D simulations to define model applicability limits and support early-stage design decisions.
Verified and validated an in-house plasma-flow solver using benchmark cases, geometry and boundary-condition checks, mesh refinement, convergence studies, and comparison against analytical, numerical, and experimental references. Cases included Poiseuille flow, de Laval nozzle flow, laminar round jet, and free-burning argon arc simulations.
Developed a compact MATLAB thermal-resistance model for rapid cooling-concept screening using geometry, heat-load definitions, material assumptions, and design constraints. The model was benchmarked against higher-fidelity simulations to identify when simplified modelling was sufficient and when detailed simulation was required.
Adapted an in-house finite-difference Fortran solver for unsteady thermo-fluid simulations around a torsionally oscillating heated cylinder with prescribed boundary motion. The work included grid-independence checks, time-step sensitivity studies, wake-dynamics analysis, force response, and heat-transfer trends.
MSc computational mechanics project using XFEM/Xcrack tools to study crack-tip enrichment, convergence behaviour, stress-intensity-factor extraction, and Brazilian fracture-test response in 2D plane-stress elastic domains.
Numerical study of FSI benchmark problems including imposed airfoil motion, added-mass effects, spring-mounted response, and dam-break impact on rigid and elastic walls. The work included grid, time-step, and modal-sensitivity studies.
Implemented POD and PGD reduced-order modelling workflows for transient heat conduction, Poisson problems, and vector-field plane-stress elasticity. The work compared reduced solutions against full-order or exact references and analysed error convergence.
I maintain a documented scientific-computing portfolio covering CFD, heat transfer, finite-volume methods, finite-difference methods, lattice Boltzmann methods, CUDA acceleration, and reproducible post-processing workflows.
CUDA-accelerated D2Q9-BGK Lattice Boltzmann solver for lid-driven cavity flow, with Ghia benchmark comparison and CPU/GPU performance analysis.
CUDA and serial CPU implementation of D2Q9-BGK LBM for Couette flow, including moving-wall boundary treatment, analytical validation, and speedup comparison.
D2Q9-BGK Lattice Boltzmann solver for lid-driven cavity flow with benchmark-style centreline velocity comparison and Python post-processing.
C++ LBM implementation for Couette flow, including wall boundary treatment, velocity-profile extraction, and analytical comparison.
One-dimensional compressible-flow solver for the Sod shock-tube problem using finite-volume methods, Rusanov/Godunov fluxes, MUSCL reconstruction, and exact-solution comparison.
Steady one-dimensional convection-diffusion solver comparing numerical schemes against analytical behaviour for transport-dominated problems.
Two-dimensional transient heat-conduction solver using an Alternating Direction Implicit method, with contour visualisation and verification-style test cases.
Incompressible Poiseuille/channel-flow solver using an iterative pressure-velocity solution strategy and comparison with analytical velocity profiles.
Two-dimensional incompressible lid-driven cavity solver with streamfunction, vorticity, velocity-field, and benchmark-style post-processing.
Compressible quasi-one-dimensional nozzle-flow solver including area variation, pressure/density/velocity distributions, and shock-related case studies.
Collection of CFD, heat-transfer, LBM, finite-volume, finite-difference, and CUDA numerical-method projects with reports, plots, and reproducible code examples.
Email: mechshahid@gmail.com
LinkedIn: linkedin.com/in/mohammad-shahid-5ab944141
GitHub: github.com/MechShahid