Imperial College London


Faculty of EngineeringDyson School of Design Engineering

Research Postgraduate







Observatory BuildingDyson BuildingSouth Kensington Campus





How can we prevent intracranial hemorrhaging? 

Can finite element models predict bleeding in the brain? 

How accurate are our current traumatic brain injury models? 

What types of impacts cause fatal hemorrhaging, and can we design helmets to help protect against them? 

Are our current helmet testing standards robust enough to account for intracerebral hemorrhaging? 


During my Ph.D. I will be attempting to answer these questions. I hope to provide insight into computational models of the brain and their applicability for predicting various types of intracranial hemorrhaging. The brain is perfused with vasculature which, when put under the high strains experienced during traumatic brain injuries, can rupture, causing hemorrhaging. Current brain models omit most of the vasculature in the brain, typically only leaving the bridging veins, and therefore unable to predict the various other locations of hemorrhaging. My work will focus on accurately predicting all the locations of hemorrhaging in the brain through finite element modelling, using patient data, injury recreation, and high fidelity finite element models. I am also looking into a new modelling methods for the prediction of traumatic brain injury; smoothed particle hydrodynamics (SPH). SPH is an exciting modelling method which excels in the modelling of high deformations in materials. This methods is being investigated as a replacement for the cerebrospinal fluid in finite element meshes. It is believed that using this method will help predict displacements of the brain to the skull more accurately than current methods allow. 



Farajzadeh Khosroshahi S, Duckworth H, Galvanetto U, et al., 2019, The effects of topology and relative density of lattice liners on traumatic brain injury mitigation, Journal of Biomechanics, Vol:97, ISSN:0021-9290

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