Using mathematics, physics and computer science to study the behaviour of complex systems through computer simulation
The complexity and the multifaceted nature of problems in clinical engineering have resulted in the emergence of computational biophysical modelling as a tool of great importance in addressing such challenges. Especially for situations when transport phenomena are important – flow of blood in vasculature, transport of cerebrospinal fluid in the brain and the spine, cellular motility processes, or modeling of disease progression – almost invariably a wide range of scales and a variety of physical processes are in an intricate interplay.
Responding to unmet healthcare needs can be greatly assisted by employing appropriate simulation techniques and this capability has been greatly enhanced with the merging of imaging with modelling, which allows for computations to be applied to regions of interest that are anatomically derived and patient-specific. This type of simulation-enhanced personalised medicine addresses a series of challenges in a very promising manner. Clinical computational modelling of the type described here is rapidly becoming a commodity of great value in all the relevant medical devices industries as well as outright in the hospital setting. There is great need to train young professionals on this interface of diagnostic and interventional medicine on one hand and scientific computing on the other.
Partners and Facilities
This Methodology works with wide range of clinical themes, including Neurological Imaging and Cardiovascular Imaging. Connections across UCL and UCL Partners is very strong and students have access to related equipment.
Studying Under this theme
Projects listed below are available for applicants to include in their 5 project choices. Successful candidates will meet with both primary supervisors from their selection as part of the induction process before being assigned to an allocated research project. To view all available project videos please visit our YouTube channel.
Yiannis Ventikos is the Kennedy Professor of Mechanical Engineering and the Head of the Mechanical Engineering Department at University College London. Prof Ventikos’ research focuses on transport phenomena and fluid mechanics, as they are applied to biomedical engineering problems, energy, innovative industrial processes and biocomplexity. Areas of research include arterial haemodynamics and tissue remodelling (with an emphasis on vascular diseases, like aneurysms), cerebrospinal fluid dynamics, shock-induced bubble collapse, droplet generation and deposition, targeted drug delivery, swirling flows, chaos, mixing and dynamical systems, organogenesis and tissue engineering, micro- and nano-technologies. Computational modelling is at the centre of his research, which spans the spectrum from fundamental to applied research.
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