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Research

Research Interests

Apart from my general interest in data mining and machine learning, I am particularly interested in the area of data mining of large and complex data sets. My current research focuses on the development of financially inexpensive solutions for mining of large data sets for modest size organisations. For this reason my work aims to develop technologies that utilise the computational power and memory of a network of workstations in order to speed up data mining tasks on large amounts of data.

Furthermore I am interested in data mining of fast streaming data, distributed data streams, and data stream mining  on mobile devices. With the continuous advances in handheld mobile devices there is an opportunity to perform significantly useful data analysis tasks in an ad hoc environment. My research aims to realise this using data stream mining technologies, mobile agent systems and embedded programming.

Professional Services

  • Organiser of a workshop on “Data Stream Mining “ for the Thirty-sixth SGAI International Conference on Artificial Intelligence, 2016, Cambridge, UK.
  • Reviewer for the Computational Intelligence Journal, Wiley, since 2016.
  • Reviewer for the Neurocomputing Journal, Elsevier, since 2016.
  • Co-Organizer of the “UK Symposium on Knowledge Discovery and Data Mining“, London, 2016.
  • Porgram Committee Member of the Sixth International Workshop on Data Mining in Networks, IEEE ICDM DaMNet 2016
  • PhD Workshop Chair, IDCS 8th International Conference on Internet and Distributed Computing Systems 2015
  • Program Committee Member of IFIP/IEEE CogMan2015 1st Workshop on Cognitive Network and Service Management 2015.
  • Program Committee Member of the Fourth International Workshop on Data Mining in Networks, IEEE ICDM DaMNet 2014
  • Co-Organizer of the “UK Symposium on Knowledge Discovery and Data Mining“, London, 2014.
  • Program Committee Member of the Third International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, JMLR, 2014.
  • Program Committee Member of the International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2014, 2014-present.
  • Committee Member of the BCS SGAI The Specialist Group on Artificial Intelligence, elected in December 2013 for three years.
  • Reviewer for the Journal of Intelligent and Fuzzy Systems, IOS press, since 2013.
  • Program Committee Member of the Workshop on Social Media Analysis at Thirty-third SGAI International Conference on Artificial Intelligence.
  • Program Committee Member of the Third International Workshop on Data Mining in Networks,  IEEE ICDM DaMNet 2013.
  • Program Committee Member of the Real-World Challenges for Data Stream Mining Workshop-Discussion at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Prague, Czech Republic 27th September 2013.
  • Reviewer for the Knowledge-Based Systems Journal, Elsevier, since 2013.
  • Member of the Editorial Board of the Computer Communication & Collaboration Journal, Better Advances Press, since 2013.
  • Reviewer for Special issue Contemporary Development of Neural Computation and Applications, Neural Computing and Applications journal, 2012.
  • Reviewer for the IEEE Symposium on Computational Intelligence and Data Mining, Paris, France 2011.
  • Program Committee Member of the SGAI International Conference on Artificial Intelligence, Cambridge, England 2011 – present.

Invited Talks

  • Seminar on Data Stream Mining Research, held at Cardiff University, UK, November 2015.
  • Seminar on conducting PhD research in the UK, held at Technische Hochschule Nürnberg Georg Simon Ohm (Germany), June 2015.
  • Seminar on data stream analytics held at Actian Ltd in Slough September 2013.
  • Foundations of Pocket Data Mining  held at SELEX Elsag Ltd, October 2012.
  • Foundations of Pocket Data Mining  held at the “ Sixth UK Symposium on Knowledge Discovery and Data Mining (UK KDD 2011) for the BCS SGAI – the BCS Specialist  Group on Artificial Intelligence, September 2011.
  • Pocket Data Mining: A Smartphone based Approach to Real-Time Analysis of Evidence in Crime Investigations held at the West Midlands Police Headquarter in Birmingham for the Operational Research Interest Group on Criminal Justice, May 2011.
  • Parallel Rule Induction for the Physical Sciences, Engineering and Computing Research Seminar” held at the Nottingham Trent University for the Nottingham Physical Sciences, Engineering and Computing Research seminars, March 2011.

Awards

  • Recognised Paper Award at the Thirty-Fourth International Conference of the BCS Specialist Group of Artificial Intelligence, Cambridge 2014 for the paper with the title: Computationally Efficient Rule-Based Classification for Continuous Streamining Data.
  • Best Technical Paper Award at the Thirty-first International Conference of the BCS Specialist Group of Artificial Intelligence, Cambridge 2011 for the paper with the title: Random Prism: An Alternative to Random Forests.
  • Recognised Paper Award at the Thirtieth International Conference of the BCS Specialist Group of Artificial Intelligence, Cambridge 2010 for the paper with the title: Induction of Modular Classification Rules: Using Jmax-pruning.
  • Best Poster Award at the Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge 2008 for the poster with the title: Parallel Induction of Modular Classification Rules.

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