• University of Huddersfield
    Queensgate
    Huddersfield
    HD1 3DH

    United Kingdom

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20222024

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Last updated 17th April 2024

Biography

Dr Frankie Jackson is a lecturer in Mechanical Engineering in the School of Computing and Engineering at the University of Huddersfield. He delivers lectures both in the UK and abroad. His main teaching areas are aerodynamics, computational fluid dynamics, finite element analysis, and thermodynamics. Prior to this, he worked as a Research Fellow in the Energy, Emissions and Environment Research group, working on a wide range of academic and industrially related projects. He is technical co-lead of the school’s high performance computing facility. He is also an Associate member of the Institute of Mechanical Engineers and vice secretary for the Yorkshire automobile division committee.

He obtained is PhD in mechanical engineering from the University of Leeds in 2021. His research was focused on meso-scale computational fluid dynamics modelling with the lattice Boltzmann method. As part of this, he developed novel models for droplet deposition and evaporation dynamics optimised for use on high performance parallel computers. Prior to this, he completed his bachelor's degree in Energy Engineering at the University of Huddersfield.

Currently, his key research areas include smart house research, digital twinning, meso-scale computational fluid dynamics modelling, multiphase modelling, and aerodynamics. Furthermore, he is working with numerous companies through knowledge transfer partnerships.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities

Research Expertise and Interests

  • Digital twinning
  • Aerodynamics
  • Gas pipelines
  • Computational Fluid Dynamics
  • Lattice Boltzmann Method
  • High Performance Computing
  • Multiphase Flow
  • Oil and Gas
  • Renewable Energy

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