Multiscale Thermofluids
@DrBenOwen
I am a Chancellor's Fellow in Health and Life within the School of Engineering. My research focuses on the use of numerical modelling and machine-learning framework for disease diagnostics.
PhD Aerospace Engineering, University of Manchester, 2019
MEng Aerospace Engineering, University of Manchester, 2014
- Numerical modelling
- Blood flow modelling
- Inertial microfluidics
- Disease diagnostics
- GPU acceleration
After beginning my career in industry as a Building Service Engineer, I went back into education to complete a BSc in Physics at Northumbria University. During this time I completed a project with the Smart Materials and Surfaces Laboratory in liquid-liquid capillary imbibition. This inspired to continue research in the field and went on to gain a PhD titled “Pinning-Free Evaporation of Sessile Droplets from Slippery Surfaces”. During my PhD my research was focused on manipulation of droplets using slippery surfaces and electric fields to modify evaporation behaviour. I am currently a Post-Doctoral Research Associate within the WISE laboratory in the Institute of Multiscale Thermofluids at the University of Edinburgh on an EPSRC funded project looking into the strain-dependant manipulation of sessile droplets on new metamaterials.
I am Professor of Fluid and Suspension Dynamics. My research focuses on the modelling and simulation of complex fluids on microfluidic scales, for example suspensions of deformable particles or red blood cells. I am teaching Chemical Engineering in the second year. I am the Co-Chair of the University's Research Cultures Forum.
- PhD in Physics, Bochum University, Germany, 2011
- Diploma in Physics, Heidelberg University, Germany, 2007
- Institute of Physics
- Institute of Physics and Engineering in Medicine
- German Physical Society
- Modelling and simulation of complex fluids
- Microfluidics, suspensions and emulsions
- Blood flow in complex geometries and blood cell separation
- Inertial microfluidics
- Lattice-Boltzmann method
- Immersed-boundary method