As the complexity of a system increases, our ability to make precise and yet significant statements about its behaviour diminishes until a threshold is reached beyond which precision and significance (or relevance) become almost exclusive characteristics.

Lofti Zadeh

Research projects

Current projects:

• Physically Inspired Artificial Learning Models. Project leader. Funded by Bournemouth University. In collaboaration with British Telecommunications Intelligent Systems Research Centre, Oct. 2007 - Oct. 2010.

• Probabilistic modelling of customer behaviour using nature-inspired hybrid optimisation techniques. Project leader. Funded by the Great Western Research and British Telecommunications plc. In collaboration with Bristol University and BT Intelligent Systems Research Centre. Project duration: Nov 2009 - Nov 2012

• Robust Adaptive Algorithms for Relational Data Mining. Project leader. Funded by the Great Western Research and Screwfix Direct ltd .In collaboration with Bristol University and Screwfix Direct ltd. Project duration: Sep 2008 - Sep 2011

Recently completed projects:

• Development of Robust Dynamically Adaptable Classification Systems using Hybrid Intelligent Techniques. Project leader. Funded by Algerian Ministry for Higher Education and Scientific Research. Nov. 2005 - Oct. 2009.

• Self-adapting and Monitoring Soft Sensors for Process Industry. Project leader. Funded by Degussa AG and Bournemouth University , Oct. 2006 - Oct .2009.

• Data Mining and Multi Level Combination for Cancellation Forecasting. Project leader. Funded by Lufthansa Systems, Berlin, GmbH and Bournemouth University, Oct. 2006 - Oct .2009.

• High Performance Fusion Systems. Project leader. Funded by EPSRC and British Telecommunications plc, Oct. 2005 - Oct. 2008.

• Nature-inspired Smart Information Systems (NiSIS). EU funded Co-ordination Action. Vice-chairman of the Nature-inspired Data Technology (NiDT) focus group. Corresponding person and coordinator from Bournemouth University. Feb. 2005- Jan. 2008.

• Physically Inspired Artificial Learning Models. Co-leader. EU funded Task Force within NiSIS, Oct. 2006 - Oct. 2007.

• Application of computational intelligence techniques for ensuring high quality of data in information systems. Project coordinator/academic supervisor. KTP project co-funded by QGate Software Ltd., Jun. 2005 - May 2007.

• Combining Predictors. Project leader. Funded by Lufthansa Systems, Berlin, GmbH and School of DEC , Aug. 2002 - Dec. 2006.

• The European Network on Intelligent Technologies for Smart Adaptive Systems EUNITE. A corresponding person of a Key Node and a co-chairman of the Research Theory & Development Group on Integration of Methods. Funded by EU, Jan. 2001-June 2004.

• Combined Supervised and Unsupervised Algorithms in the Design of Pattern Classification Systems. Project leader. Funded by University of Paisley Research Funding Committee, Jan. 2001 - Jan. 2004.

• Towards Automation of Data Analysis using Hybrid Intelligent Methods. Principal investigator. Project funded by BTexact. Project carried out at BTexact Intelligent Systems Labs. Jan. - Feb. 2003.

• Development of Hyperbox Fuzzy Sets Based Pattern Recognition Techniques Involving Missing Data, Data Fusion and Hierarchical Systems. Principal investigator. Project funded by the Nuffield Foundation March 2001 - March 2003.

• Pattern Recognition Using Multiple Classifier Systems. Project leader. Funded by the UoP Research Funding Committee, October 1999 – October 2002.

• Applicability of neural and fuzzy techniques for uncertain information processing in the context of decision support in operational control of industrial processes. Projects funded by the Nottingham Trent University, 1994 - 1999.