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Dr Huseyin Seker

Associate Professor

Department: Computer and Information Sciences

I joined the University of Northumbria in November 2014 as a Reader in Computer Science. Prior to that, I worked for De Montfort University, Universities of Bradford and Leicester. I am the Business and Engagement Lead for the Department of Computer Science and Digital Technologies.

PGR Supervision

I supervise several PhD students and would be happy to work with those who are interested in my research areas. Please see my personal website

Further Information

My personal web site:

Bio-Health Informatics Research Team:

Big Data Analytics Clinic:


My Research Gate Profile:

My Northumbria Research Link can be found here


  • Computing Science PhD June 30 2005
  • Member Institute of Electrical Engineers (IEE) 2014

Key Publications

  • Please visit the Pure Research Information Portal for further information
  • Overlapping Clusters and Support Vector Machines Based Interval Type-2 Fuzzy System for the Prediction of Peptide Binding Affinity, Uslan, V., Seker, H., John, R. 25 Apr 2019, In: IEEE Access
  • Extensive data exploration for automatic price suggestion using item description, Ali, A., Seker, H., Farnie, S., Elliott, J. 6 Oct 2018, ICAAI 2018 - 2018 the 2nd International Conference on Advances in Artificial Intelligence, Association for Computing Machinery, Inc
  • A Multi-Objective Pareto-Optimal Wrapper based Framework for Cancer-Related Gene Selection, Ogutcen, O., Belatreche, A., Seker, H. Sep 2018, SAI Intelligent Systems Conference
  • Texture-based characterization of subskin features by specified laser speckle effects at λ = 650 nm region for more accurate parametric ‘skin age’ modelling, Orun, A., Seker, H., Uslan, V., Goodyer, E., Smith, G. 29 Nov 2016, In: International Journal of Cosmetic Science
  • Binding affinity prediction of S. cerevisiae 14-3-3 and GYF peptide-recognition domains using support vector regression, Uslan, V., Seker, H. 18 Oct 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Piscataway, IEEE
  • Structural classification of protein sequences based on signal processing and support vector machines, Chrysostomou, C., Seker, H. 18 Oct 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Piscataway, IEEE
  • Unsupervised selection of RV144 HIV vaccine-induced antibody features correlated to natural killer cell-mediated cytotoxic reactions, Sarac, F., Uslan, V., Seker, H., Bouridane, A. 18 Oct 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Piscataway, IEEE
  • Discovering differences in gender-related skeletal muscle aging through the majority voting-based identification of differently expressed genes, Dreder, A., Tahir, M., Seker, H., Anwar, N. 30 Jun 2016, In: International Journal on Bioinformatics & Biosciences
  • Novel dynamic partial reconfiguration implementations of the support vector machine classifier on FPGA, Hussain, H., Benkrid, K., Seker, H. 20 Jun 2016, In: Turkish Journal of Electrical Engineering & Computer Sciences
  • Quantitative prediction of peptide binding affinity by using hybrid fuzzy support vector regression, Uslan, V., Seker, H. Jun 2016, In: Applied Soft Computing Journal

PGR Supervision

  • Mohamed Abdalla Developing Pixel-Based Feature Sets for Intelligent Identification of Eimeria Species from Microscopic Images Start: 11/02/2015
  • Mansoureh Pezhman Pour Start: 01/10/2015
  • Ferdi Sarac Development of Unsupervised Feature Selection Methods for High Dimensional Biomedical Data in Regression Domain Start: 09/01/2015
  • Arinze Akutekwe Development of Dynamic Bayesian Network for the Analysis of High Dimensional Biomedical Data Start: 27/04/2015


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