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Dr Ammar Belatreche

Associate Professor

Department: Computer and Information Sciences

Ammar BelatrecheDr. Ammar Belatreche received the Ph.D. degree in Computer Science from Ulster University, UK. He joined Northumbria University in May 2016. He is currently a Senior Lecturer in Computer Science and Programme Leader for the MSc Advanced Computer Science in the Department of Computer and Information Sciences. He is a member of the Computational Intelligence and Visual Computing (CIVC) research group. Previously he worked as a Research Associate in the Intelligent Systems Research Centre (ISRC), Ulster University, then as a Lecturer in Computer Science in the School of Computing and Intelligent Systems, Ulster University, Derry, UK.

He has extensive experience across academic and R&D in the areas of bio-inspired intelligent systems, machine learning, face detection and recognition, structured and unstructured data analytics, capital markets engineering, image processing and understanding. He has led a number of research and consultancy projects and has successfully supervised/co-supervised  8 PhD students to completion. He is a fellow of the Higher Education Academy, an Associate Editor of Neurocomputing and has served as a Program Committee Member and a reviewer for several international conferences and journals.

 

Campus Address

CIS 305
Northumbria University
Newcastle upon Tyne
NE1 8ST

Qualifications

  • Computing Science PhD June 30 2007
  • Member Association of Computing Machinery (ACM) 2012
  • Fellow (FHEA) Higher Education Academy (HEA) 2010
  • Member Institute of Electrical & Electronic Engineers (IEEE) 2009

Key Publications

  • Please visit the Pure Research Information Portal for further information
  • An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing, Zhang, M., Luo, X., Wu, J., Chen, Y., Belatreche, A., Pan, Z., Qu, H., Li, H. 30 Mar 2020, In: IEEE Journal of Selected Topics in Signal Processing
  • A review of learning in biologically plausible spiking neural networks, Taherkhani, A., Belatreche, A., Li, Y., Cosma, G., Maguire, L., McGinnity, T. 1 Feb 2020, In: Neural Networks
  • Echo state network‐based feature extraction for efficient color image segmentation, Souahlia, A., Belatreche, A., Benyettou, A., Zoubir, A., Benkhelifa, E., Curran, K. 18 Mar 2020, In: Concurrency Computation Practice and Experience
  • Stock Price Manipulation Detection based on Autoencoder Learning of Stock Trades Affinity, Rizvi, B., Belatreche, A., Bouridane, A., Mistry, K. 20 Mar 2020, IJCNN 2020, IEEE
  • Supervised Learning in Spiking Neural Networks with Synaptic Delay-Weight Plasticity, Zhang, M., Wu, J., Belatreche, A., Pan, Z., Xie, X., Chua, Y., Li, G., Qu, H., Li, H. 12 Apr 2020, In: Neurocomputing
  • A Dendritic Cell Immune System Inspired Approach Stock Market Manipulation Detection, Rizvi, B., Belatreche, A., Bouridane, A. Jun 2019, 2019 IEEE Congress on Evolutionary Computation (CEC 2019): 10-13 June 2019, Wellington, New Zealand, Piscataway, NJ, IEEE
  • A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons, Zhang, M., Qu, H., Belatreche, A., Chen, Y., Yi, Z. Jan 2019, In: IEEE Transactions on Neural Networks and Learning Systems
  • Immune inspired Dendritic Cell Algorithm for Stock Price Manipulation detection, Abbas, B., Belatreche, A., Bouridane, A. 6 Sep 2019
  • A Multi-Objective Pareto-Optimal Wrapper based Framework for Cancer-Related Gene Selection, Ogutcen, O., Belatreche, A., Seker, H. Sep 2018
  • A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks, Taherkhani, A., Belatreche, A., Li, Y., Maguire, L. Nov 2018, In: IEEE Transactions on Neural Networks and Learning Systems

PGR Supervision

  • Omer Ogutcen Pareto-optimal based feature selection framework for biomarker identification Start: 19/07/2017
  • Baqar Rizvi Start: 01/03/2017
  • Abdouladeem Dreder Machine learning based approaches for identifying sarcopenia-related genomic biomarkers in ageing males and females Start: 20/01/2017


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