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Projects: Projects for Investigator
Reference Number EP/F033087/1
Title Multi-disciplinary Optimisation and Data Mining at Birmingham
Status Completed
Energy Categories Not Energy Related 90%;
Fossil Fuels: Oil Gas and Coal(Oil and Gas, Oil and gas conversion) 5%;
Hydrogen and Fuel Cells(Hydrogen) 5%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields OTHER 85%;
PHYSICAL SCIENCES AND MATHEMATICS (Metallurgy and Materials) 5%;
PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 5%;
ENGINEERING AND TECHNOLOGY (General Engineering and Mineral & Mining Engineering) 5%;
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Professor X Yao
No email address given
School of Computer Science
University of Birmingham
Award Type Standard
Funding Source EPSRC
Start Date 01 April 2008
End Date 31 March 2011
Duration 36 months
Total Grant Value £357,570
Industrial Sectors No relevance to Underpinning Sectors
Region West Midlands
Programme Information & Communication Technology, Materials, Mechanical and Medical Eng, Mathematical Sciences
 
Investigators Principal Investigator Professor X Yao , School of Computer Science, University of Birmingham (99.997%)
  Other Investigator Professor M Kocvara , School of Mathematics, University of Birmingham (0.001%)
Professor AHC Chan , Infra. Engineering & Management, University of Birmingham (0.001%)
Professor Z Kourtzi , School of Psychology, University of Birmingham (0.001%)
Web Site
Objectives
Abstract The University of Birmingham's commitment to collaboration across different disciplines is established through its Research Strategy and embodied in its Collaborative Research Networks (CRNs). The Strategy recognises that cross-School research is difficult to initiate, promote and ultimately to sustain. Building on the exceptional strengths within the disciplines, the Strategy identifies nine major cross-disciplinary research themes and four enabling technology themes (www.research.bham.ac.uk) and the use of Collaborative Research Networks to promote interdisciplinary working within each of the themes. Each CRN has an academic Champion who acts as advocate for the Network, promoting and fostering interdisciplinary research (IDR). Such a strategic approach to the promotion of multidisciplinary working provides a strong foundation and puts the University in a potentially unique position to take advantage of this opportunity. The CRNs and associated IDR activities underline the University's strategy and ability to support and deliver IDR and this proposal seeks funds to develop routes by which deeper and sustainable collaborations can be built upon such a foundation among the disciplines of Computer Science, Mathematics, Engineering, Chemistry and Psychology, adding significant value to current and future initiatives. This proposal will support linkages between the Informatics, Communications Technologies, Molecules & Materials, Transport Technology, Sustainable Environment, Energy and Resources, and Imaging and Visualisation CRNs.The focus of this proposal is on optimisation and data mining, which underly numerous real world challenges in different disciplines, especially as we collect more and more data due to the advance in technologies. Most of these optimisation and data mining problems cannot be tackled effectively by researchers from any single disciplines, because a good solution can only be found with in-depth knowledge in both the problem domain as well as the techniques/algorithms that are applicable. At least two different disciplines need to be involved.This proposal will bring people together, enable them to communicate with other, make available time and space for them to interact intensively, provide forums from them to identify long-term and fundamental research challenges, create an environment and culture that foster multidisciplinary research, and enables them to develop sustained research programmes and write high-quality grant proposals
Publications (none)
Final Report (none)
Added to Database 19/11/07