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Professor Sunil Vadera

Sunil Vadera is a Professor of Computer Science and the Dean of the School of Computing, Science and Engineering at the University of Salford. He holds a PhD in Computer Science from the University of Manchester, is a Fellow of the British Computer Society, a Chartered Engineer (C.Eng) and Chartered IT Professional (CITP).  Sunil was awarded the BDO best Indian Scientist and Engineer in the UK in 2014. He has led a number of projects in applying data mining and machine learning for problems in Energy, Health & Safety, Finance, and Policy over the last decade, including:

  • Developing new models using Bayesian networks for real time sensor validation of gas turbines for the Mexican Instituto de Electricas.
  • Development of Dust-Expert, a system for advising on explosion relief and data mining of near miss data for the Health and Safety Executive.
  • Use of clustering methods for analysis of SMART meters data for British Gas.
    An FP7 funded project with 9 EU partners on Self-Learning Energy Efficient Buildings and Open Spaces.
  • An innovative project for assessing risk in sub-prime lending aimed at improving financial inclusion which was selected by ESRC as an example of the impact of research and whose IP was purchased by a major Swiss bank.

He is currently involved in two Knowledge Transfer Partnerships: one with the Knowledge Exchange division of IDOX that is exploring the use of Big Data Analytics for Policy and a second with the CarFinance247 which aims to use data mining to reduce the cost of loans.

Sunil was Chair of the UK BCS Knowledge Discovery and Data Mining Symposium held in Salford in 2009, General Chair of numerous conferences including: the IFIP conference on Intelligent Information Processing in 2010, 2012, 2014 2016; European Conference on Intelligent Management Systems in Operations 2005, 2009; International Conference on Information Management and Engineering in 2014, 2015,2016. He was organising Chair of a workshop on Cost sensitive learning at the IEEE International Conference on Data Mining in 2012.

His research has been published in some of the leading outlets in computing, including the Computer Journal, ACM Transactions on Knowledge Discovery from Data, ACM Computing Surveys, Information and Software Technology Journal, Formal Aspects of Computing, Software Engineering Journal, Expert Systems Journal, Foundations of Science, and IEEE Transactions of Power Systems.

Research Grants

  • KTP with East Lancashire Moneyline (IPS) Limited£107,372.00Technology Strategy Board 17/09/2007
  • Shorter KTP with East Lancashire Moneyline£47,200.00Technology Strategy Board 27/08/2010
  • A Pilot Study in Data Mining for Customer Usage Patterns From SMART Meters£79,000.00 British Gas11/03/2011
  • SEEDS: Self learning Energy Efficient builDings and open Spaces£299,836.00EC - Framework 7 23/06/2011
  • KTP with Idox Software Ltd£131,983.00Technology Strategy Board27/06/2014
  • KTP with Social Sense£162,008.00Technology Strategy Board29/10/2014
  • Privacy4Forensics£161,227.00EC - Framework 719/01/2016
  • KTP with Car Finance 247 Ltd£129,666.00Innovate UK03/11/2016