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Details of Grant 

EPSRC Reference: GR/T02539/01
Title: Network in Physiological Flow Modelling: Promoting Interactions between Physiological Flow Modellers and Bioscientist
Principal Investigator: Sherwin, Professor S
Other Investigators:
Waters, Professor S
Researcher Co-Investigators:
Project Partners:
Department: Aeronautics
Organisation: Imperial College London
Scheme: Standard Research (Pre-FEC)
Starts: 11 October 2004 Ends: 10 October 2007 Value (£): 34,200
EPSRC Research Topic Classifications:
Animal & human physiology
EPSRC Industrial Sector Classifications:
Related Grants:
Panel History:  
Summary on Grant Application Form
This proposal is directed at establishing a programme of research meetings (over a three-year period) at which scientists involved in the area of physiological flow modelling have the opportunity to interact and address key problems in the field. Physiological flow modelling is a dynamic research area in the UK, with key contributions to the field being made by UK researchers. However, despite the degree of national activity, there are very few formal opportunities for experts in the field to meet, exchange ideas and develop new collaborative links. We propose to establish a Network in Physiological Flow Modelling: Promoting interactions between physiological flow modellers and bioscientists that will (i) ensure that the UK's strong historical position in physiological flow research is maintained; (ii) facilitate the transfer of knowledge between fields where there is a strong overlap in modelling methodologies, e.g., respiratory and cardiovascular research; (iii) enable the education of complementary researchers, for example, by giving engineers the necessary biological knowledge to allow them to model accurately physiological systems; (iv) encourage greater and more effective interaction between researchers in biomedical fluid dynamics and researchers in complementary fields including, for example, vascular biology and pathophysiology, clinical medicine and medical devices; especially by taking advantage of large-scale computing and emerging grid technologies, such as Access Grid and computational steering/remote visualisation facilities; (v) ensure the most effective use of UK research resources by minimising the risk of duplication of effort by researchers at different UK institutions or in different fields or specialisations; and (vi) introduce new areas of biomedical and industrial application to mathematical and computational engineering communities. The principal mechanism for interactions within the network will be a series of workshops (two per year). These will be held at different UK institutions (London, Nottingham and Manchester) and typically involve 40-60 delegates. We believe that the proposed network has the potential to address a number of current weaknesses in UK physiological flow research, by encouraging better interdisciplinary interactions between academic researchers and clinical practitioners, promoting interactions between mathematical and computational modellers involved in physiological flow research and those involved in wall (patho)physiology, and developing the application of physiological flow modelling to clinical practice.
Key Findings
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Potential use in non-academic contexts
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Date Materialised
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Further Information:  
Organisation Website: http://www.imperial.ac.uk