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Dr Alexander Gegov

Reader in Computational Intelligence

Alexander Gegov
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Biography

I am currently Reader in Computational Intelligence in the School of Computing. I have been Associate Dean Research for the Faculty of Technology in the past. I have a PhD in Control Systems and a DSc in Intelligent Systems – both from the Bulgarian Academy of Sciences. I have been a recipient of a national award for best young researcher from the Bulgarian Union of Scientists. I have been Humboldt Guest Researcher at the Universities of Duisburg and Wuppertal in Germany as well as EU Visiting Researcher at the Delft University of Technology in the Netherlands.

My research interests are in the development of computational intelligence and machine learning methods as well as their application for modelling and simulation of complex systems and networks. I have edited several journals and books published by IEEE and Springer. I have authored 5 research monographs and more than 25 book chapters published by Springer. I have also authored articles and papers in a wide range of peer-reviewed specialised journals and international conferences including IEEE journals and conferences. I have presented more than 20 invited lectures and tutorials at international research events including IEEE and EPSRC Conferences and Summer Schools on Fuzzy Systems, Neural Networks, Intelligent Systems, Computational Intelligence, Cybernetics and Complexity Science.

I have been actively involved in PhD supervision and examination. I have been Co-investigator on research projects funded by EPSRC, Innovate UK and South East England Development Agency. I have been Associate Editor for the IEEE Journal Transactions on Fuzzy Systems, the Elsevier Journal of Fuzzy Sets and Systems, the IOS Journal of Intelligent and Fuzzy Systems, the Atlantis Journal of Computational Intelligence Systems and the IOS Journal of Knowledge Based Intelligent Engineering Systems. I have also been Reviewer for several journals including IEEE Transactions on Neural Networks and Assessor for several national research councils including EPSRC. I have served as Invited Member of the Soft Computing Technical Committee of the IEEE Society of Systems, Man and Cybernetics and the Outstanding Paper Award Committee of the IEEE Computational Intelligence Society.

Research Interests

  • Development of computational intelligence and machine learning methods using rule based systems, fuzzy logic, neural networks and evolutionary algorithms
  • Validation of these methods for management, modelling, simulation and control of complex systems characterised by features such as nonlinearity, uncertainty, dimensionality and structure
  • Application of these methods in a wide range of areas including transportation, healthcare, education  and environment

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