Imperial College London

Dr Arash Hamzehloo

Faculty of EngineeringDepartment of Aeronautics

Research Associate



a.hamzehloo Website




141City and Guilds BuildingSouth Kensington Campus





Arash's main research interests are in the area of Computational Fluid Dynamics (CFD) and High Performance Computing (HPC). Specifically developing mathematical models and CFD codes to study:

  • Compressible flows (gas dynamics)
  • Turbulent flows and turbulence modelling 
  • Multiphase flows and phase change
  • Aerodynamics (subsonic to hypersonic)
  • Combustion and reacting flows
  • Flow through porous media
  • Advanced propulsion systems
  • Hydrogen-based energy systems  

Arash is also interested in Machine Learning (ML) techniques and particularly Deep Neural Networks (DNNs) for engineering and CFD applications.

Large eddy simulation (LES) of an under-expanded hydrogen jet with nozzle pressure ratio (NPR) of 10.


Supercritical injection modelling: density field of supercritical nitrogen at 136 K injected into a nitrogen filled ambient at 300 K and ~40 bar (LES with OpenFOAM and with real fluid equation of state and transport properties). 

Under-ExpandedLES of an under-expanded air jet with NPR=4.2. 

Double WedgeDensity gradient of a Mach 7 air flow over a double wedge (OpenFOAM with fourth-order Runge-Kutta temporal discretization).

Ahmed BodyFlow around a bluff body with an incoming velocity of 60 m/s.  Velocity vector visualisation with line integral convolution.