Hello, I'm

Dara Rahmat Samii

CFD Researcher × ML Engineer × Rocketeer

M.A.Sc. graduate in Mechanical Engineering (June 2026) integrating machine learning with CFD for thermal spray analysis. Master's thesis graded Outstanding; delivered 100× speedup over traditional solvers using Graph Neural Networks; published in IEEE Access.

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L3 Certified
4.23 GPA
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About Me

I completed my M.A.Sc. in Mechanical Engineering at Concordia University in June 2026, with a background in Chemical Engineering, focused on integrating machine learning with computational fluid dynamics.

My research explores how Graph Neural Networks can accelerate CFD simulations, achieving 100× speedup over traditional solvers. I execute RANS, DDES, and aeroacoustic simulations on HPC clusters (400+ CPU cores, Compute Canada) for thermal spray coating analysis.

I lead CFD simulations for SpaceConcordia's solid rocketry team (CR25 and CR26 rockets) and hold L3, L2, and L1 rocketry certifications from the Tripoli Rocketry Association.

Simulation

OpenFOAM ANSYS Fluent COMSOL ParaView

Programming

Python C++ MATLAB Bash

ML/DL

PyTorch PyTorch Geometric scikit-learn Optuna

Tools

Git Docker Slurm LaTeX

Education

Concordia University

M.A.Sc. in Mechanical Engineering

Montréal, Canada

Sep 2023 — Jun 2026 GPA: 4.23/4.3 Thesis: Outstanding

Advisor: Prof. Moussa Tembely

Thesis: Thermofluid Simulation of Thermal Spray Processes

University of Tehran

M.Sc. in Chemical Engineering

Tehran, Iran

2022 — 2023

Focus: Process Design and Simulation

Iran University of Science and Technology

B.Sc. in Chemical Engineering

Tehran, Iran

2018 — 2022 GPA: 3.58/4

Advisor: Prof. S.H. HashemAbadi

Thesis: Design and Manufacturing of a Gas Rotameter Using CFD

Publications

2026

Investigation of Aeroacoustics and In-flight Particle Transport in Thermal Spray Supersonic Jets

D. Rahmat Samii, M. Tembely

arXiv preprint

2025

Accelerating Thermal Homann Flow Simulation With Mesh-Based Graph Neural Networks

D. Rahmat Samii, M. Tembely

IEEE Access

DOI Code
2023

CFD Based Design Gas Rotameters: Dynamic Mesh Transient Simulation

D. Rahmat Samii, S. H. HashemAbadi, P. Margan

Flow Measurement and Instrumentation

DOI

Projects

MeshGraphNet Project MeshGraphNet Animation MeshGraphNet Geometry MeshGraphNet Model
Featured

Mesh-Based GNN for CFD Acceleration

Achieved 100× speedup over traditional solvers by converting OpenFOAM polyMesh to graph inputs and training Graph Neural Networks for thermal Homann flow prediction. Published in IEEE Access.

PyTorch PyTorch Geometric OpenFOAM Optuna
GitHub Paper

Generated large-scale CFD dataset via parameterized CAD, meshing, and OpenFOAM simulation. Converted polyMesh to graph inputs; tuned GNN architectures with Optuna. Achieved 100× speedup over traditional solvers; published in IEEE Access.

CR25 Mach Analysis CR25 Pressure Analysis CR25 Forces CR25 Validation CR25 Mesh
Featured

SpaceConcordia CR25 CFD Analysis

Executed OpenFOAM aerodynamics simulations for CR25. Computed drag, lift, center of pressure, stability, thermal loads, and bending moments across Mach 0.8–2.5 and AoA ±5°.

OpenFOAM CFD ParaView
GitHub

Performed Richardson extrapolation for mesh sensitivity; implemented multi-step fvSchemes (upwind → linearUpwind). Simplified geometries and 3D-printed test articles; validated against experimental data. Collaborated with Flight Performance and Structures teams; delivered PDR documentation for CR26.

Thermal Spray Simulation Thermal Spray DDES Thermal Spray Mach Thermal Spray Mesh Thermal Spray Mesh Sensitivity Thermal Spray Particles
Featured

Aeroacoustic CFD Simulation of Thermal Spray (Master's Thesis)

Extended sonicFoam to sonicDPMFoam with Lagrangian particle tracking. Executed RANS → DDES workflows; verified turbulence via Kolmogorov cascade; applied FW-H (libAcoustics) for aeroacoustics.

OpenFOAM DDES Aeroacoustics DPM
GitHub

Simulated cold spray process at 35–65 bar and 707–807 K. Developed analytical model for preliminary aeroacoustic analysis. Validated particle–shock interaction and acoustic predictions against literature benchmarks. Processed results with Python/PyVista; managed jobs on Compute Canada HPC (400+ cores).

Gas Rotameter Rotameter Mesh

Gas Rotameter Design with CFD

Performed transient ANSYS Fluent simulations with dynamic mesh; validated against experimental data. Published in Flow Measurement and Instrumentation.

ANSYS Fluent Dynamic Mesh
Paper

Compared triangular vs. quadratic mesh deformation schemes. This was part of my B.Sc. thesis work at Iran University of Science and Technology.

PID Ball Balancer

Arduino PID Ball Balancer

Built 3D-printed PID control system using Arduino Uno; tuned PID gains for ping-pong ball stabilization with ultrasonic sensors and servo-controlled plate.

Arduino C++ 3D Printing
GitHub

Demonstrates practical control systems implementation with custom 3D-printed parts.

py-distillation py-distillation McCabe-Thiele

py-distillation

Python package for distillation tower calculations using Ponchon-Savarit and McCabe-Thiele methods with multiple configurations.

Python NumPy Matplotlib
GitHub

Supports open-steam, multiple-feed, and side-stream configurations. Useful for chemical engineering process design and simulation.

A.I.ducation Analytics

A.I.ducation Analytics

Merged FER2013 & FER+ datasets; implemented face emotion recognition CNNs. Conducted cross-validation and bias analysis by gender and age.

PyTorch CNN Computer Vision
GitHub

This project explores the intersection of AI and education technology through facial emotion recognition.

Experience

CFD Team Lead

SpaceConcordia, Solid Rocketry Team

Dec 2024 — Present

  • Executed OpenFOAM simulations for CR25 and CR26 (Icarus & Daedalus)
  • Computed drag, lift, CoP, stability, thermal loads across Mach 0.8–2.5
  • Performed Richardson extrapolation; validated against experimental data
  • Contributed to manufacturing and Launch Canada 2025 operations

Research Assistant & Teaching Assistant

Concordia University

Sep 2023 — Jun 2026

  • Research Assistant at Multiphase Thermofluid Learning Lab
  • Executed RANS → DDES workflows on HPC (400+ cores)
  • Extended sonicFoam to sonicDPMFoam with Lagrangian tracking
  • Accumulated 1,200+ TA hours: Fluid Mechanics, Heat Transfer, CFD
  • Teaching Excellence Award for Teaching Assistants (May 2026)

Remote Research Intern

JSPM Imperial College of Engineering

Oct 2021 — Jan 2022

  • Investigated multiphase solvers in OpenFOAM
  • Collaborated with international research team on solver benchmarking

Engineering Intern

Partian Battery

Jun 2021 — Oct 2021

  • Designed mixing system using COMSOL Multiphysics
  • Developed parametric simulation app with COMSOL Application Builder

Honors & Awards

Teaching Excellence Award for Teaching Assistants

Concordia University — recognition for outstanding TA contributions

2026

Mitacs Globalink Research Award

CAD $6,000 for international research collaboration (France–Canada)

2025

Concordia Merit Scholarship

CAD $5,000 for academic excellence

2023

1st Place — Rahneshan National Competition

CFD modeling of particle crystallization (Team Lead)

2021

8th Place — Chemical Engineering Olympiad

27th National Chemical Engineering Olympiad (Iran)

2022

Certifications

L3 Rocketry Certificate

Tripoli Rocketry Association

May 2026

L2 Rocketry Certificate

Tripoli Rocketry Association

Oct 2025

L1 Rocketry Certificate

Tripoli Rocketry Association

May 2025

Machine Learning

Stanford Online

View Credential

Deep Learning Specialization

DeepLearning.AI

View Credential

Fundamentals of Reinforcement Learning

University of Alberta

View Credential

Game Theory

Stanford & UBC

View Credential

From Nand to Tetris

Hebrew University of Jerusalem

View Credential

Let's Connect

I'm always interested in collaborating on CFD, ML, or rocketry projects!

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