School of Engineering

Staff Profile

Dr Umair Ahmed

Lecturer in Computational Fluid Dynamics and Thermofluids

Background

Dr Umair Ahmed obtained his undergraduate degree in mechanical engineering with 1st class Hons from the University of Manchester in 2010, which was followed by a PhD in mechanical engineering with an emphasis on Computational Fluid Dynamics (CFD) and computational combustion at the University of Manchester in 2014. He joined Newcastle University as a Lecturer in 2019, prior to this he has worked as a Research Associate at Newcastle University (2017-2019) and as a Research Associate and Teaching Fellow at the University of Manchester (2013-2017). 

Dr Ahmed's research interests include Computational Fluid Dynamics (CFD), with a focus on turbulence, heat transfer, computational combustion, multiphase flows and non-Newtonian fluid flows. As part of his research he has been involved in several projects which range from Large Eddy Simulations (LES) of full scale rotating marine turbines, modelling of non-Newtonian fluids in industrial scale mixers, Reynolds Averaged Navier-Stokes (RANS) simulation of premixed turbulent combustion to Direct Numerical Simulation (DNS) of turbulence and combustion in free shear and wall bounded flows. Furthermore, he has also been involved in developing mathematical models for turbulence and combustion under the RANS framework.

Areas of expertise

  • Computational Fluid Dynamics (CFD)
  • Direct Numerical Simulation (DNS) of turbulence, heat transfer and combustion
  • Modelling and Simulation of turbulence, heat transfer and combustion under Large Eddy Simulation (LES) and Reynolds Averaged Navier Stokes (RANS) frameworks
  • Heat Transfer modelling
  • Numerical modelling of Non-Newtonian fluid flows


Research

  • Computational Fluid Dynamics (CFD).
  • Direct Numerical Simulation (DNS) of turbulence, heat transfer and combustion.
  • Modelling and Simulation of turbulence, heat transfer and combustion under Large Eddy Simulation (LES) and Reynolds Averaged Navier Stokes (RANS) frameworks
  • Heat Transfer modelling.
  • Numerical modelling of Non-Newtonian fluid flows.
  • Developing new algorithms and open source CFD software for high performance computing (HPC) platforms.

                            

Teaching

Current Teaching:

  • MEC3014: Computational Modelling 
  • MEC8043: Software in the Professional Engineering Context
  • MEC3098: Mechanical Engineering Project
  • MEC8095: MSc Project

Publications