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Details of Grant 

EPSRC Reference: EP/C534921/1
Title: PLATFORM: Discovery Sciences Research Group: Applying Real-time Data Mining to large Scale Scientific Applications
Principal Investigator: Guo, Professor Y
Other Investigators:
Liu, Dr JG Cass, Professor AEG Darlington, Professor J
Hassard, Dr J
Researcher Co-Investigators:
Professor M Ghanem
Project Partners:
Department: Dept of Computing
Organisation: Imperial College London
Scheme: Platform Grants (Pre-FEC)
Starts: 01 October 2005 Ends: 30 September 2010 Value (£): 409,411
EPSRC Research Topic Classifications:
eScience Information & Knowledge Mgmt
EPSRC Industrial Sector Classifications:
Information Technologies
Related Grants:
Panel History:  
Summary on Grant Application Form
The Discovery Net UK e-Science project has developed a software infrastructure that allows end users to express and execute their real-time data analysis requirements using workflow technology that co-ordinates the execution of distributed data analysis programs over the distributed data in realtime. The software has been applied successfully by various groups worldwide to generate new scientific knowledge in three application areas: Life Sciences, Environmental Modelling and Geo-hazard prediction.The Discovery Net consortium comprises members from the computing, physics, biomedical sciences and earth sciences and engineering departments at Imperial College London. The consortium is seeking funding through this new platform grant project proposal to retain its identity as multidisciplinary team that investigates the intensive application of large scale distributed data analysis methods in scientific discovery. The platform grant will thus help create and maintain a Discovery Sciences Research Group at Imperial College that will apply the Discovery Net infrastructure for significant scientific discovery application projects in life sciences (biosensor/biochip data analysis), environmental science (sensor grid for urban pollution detection and modelling), defence (multi sensor fusion for bioterrorism prevention), renewable energy and earth science (geo-hazard prediction) . This grant will also enable the consortium to fund a series of scientific investigations using the technology in new application areas, investigate the development of new real-time and distributed data analysis technologies as well as to increase its international collaboration with collaborators in US, Europe and Asia on existing applications The main application areas chosen by the Discovery Sciences Research group are all based on the achievements made in Discovery Net projects which are vitally important and contribute to the improvement of quality of life.
Key Findings
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Potential use in non-academic contexts
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Summary
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Further Information:  
Organisation Website: http://www.imperial.ac.uk