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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

Key Publications

  • Please visit the Pure Research Information Portal for further information
  • On Depth, Robustness and Performance Using the Data Re-Uploading Single-Qubit Classifier, Easom - McCaldin, P., Bouridane, A., Belatreche, A., Jiang, R. 5 May 2021, In: IEEE Access
  • Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks, Zhang, M., Wang, J., Wu, J., Belatreche, A., Amornpaisannon, B., Zhang, Z., Miriyala, V., Qu, H., Chua, Y., Carlson, T., Li, H. 17 Sep 2021, In: IEEE Transactions on Neural Networks and Learning Systems
  • 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. 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
  • Detection of Stock Price Manipulation Using Kernel Based Principal Component Analysis and Multivariate Density Estimation, Rizvi, B., Belatreche, A., Bouridane, A., Watson, I. 5 Aug 2020, In: IEEE Access
  • Echo state network‐based feature extraction for efficient color image segmentation, Souahlia, A., Belatreche, A., Benyettou, A., Zoubir, A., Benkhelifa, E., Curran, K. 10 Nov 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. 24 Jul 2020, 2020 International Joint Conference on Neural Networks, IJCNN 2020 - Proceedings, Piscataway, NJ, Institute of Electrical and Electronics Engineers Inc.
  • 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. 7 Oct 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

PGR Supervision

  • Mourad Bouzegza Automatic Understanding of Human Behaviour in Depth Image Sequences Start Date: 01/09/2021
  • Philip Easom - McCaldin An Investigation into Quantum Machine Learning Based Image Classification Start Date: 01/09/2021
  • Omer Ogutcen Pareto-optimal based feature selection framework for biomarker identification Start Date: 19/07/2017 End Date: 18/11/2020
  • Baqar Rizvi Anomaly Detection Approaches for Stock Price Manipulation Detection Start Date: 01/03/2017
  • Abdouladeem Dreder Machine learning based approaches for identifying sarcopenia-related genomic biomarkers in ageing males and females Start Date: 20/01/2017 End Date: 10/11/2017


  • 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

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