Sunil Vadera is the Dean of the School of Computing, Science and Engineering. He is a Fellow of the British Computer Society (BCS), a Chartered Engineer (CEng) and a Chartered IT Professional (CITP).
His research is driven by the desire to close the gap between theory and practice in AI and Data Mining.
His main interests are in developing and applying data mining methods such as decision tree induction, Bayesian networks, self-organising maps and neural networks. His research has included using bayesian learning to develop a novel sensor validation model in collaboration with the Mexican Instituto de Electricas, a British Gas funded project applying data mining methods on SMART meters data, development of a system known as Dust-Expert for the Health and Safety Executive, and use of data mining for credit rating of sub-prime loans for East Lancashire Monelyline (IPS) Ltd.
He is principal investigator of the EC FP7 SEEDS project that aims to develop "Self learning Energy Efficient builDings and open Spaces" that is in collaboration with 8 European partners, including CEMOSA, Fraunhofer, Ferrovial and University of Stavanger.
Sunil's was organising chair of the BCS Symposium on Knowledge Discovery and Data in 2009, co-Chair of the European Conference on Intelligent Management Systems in Operation in 2009, and a Program Chair of the IFIP International Conference on Intelligent Information Processing in 2010 and 2012.
His research has been published in some of the leading outlets in Computer Science, including the Computer Journal, ACM Transactions on Knowledge Discovery from Data, Expert Systems Journal, Expert Systems Applications, Foundation of Science, Journal of Operational Research Society and IEEE Transactions of Power Systems.