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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

  • Please visit the Pure Research Information Portal for further information
  • Efficient Quantum Image Classification Using Single Qubit Encoding, Easom - McCaldin, P., Bouridane, A., Belatreche, A., Jiang, R., Almaadeed, S. 1 Feb 2024, In: IEEE Transactions on Neural Networks and Learning Systems
  • A Framework for Analyzing Motion Vector Entropy in H.265 Encoded Videos, Bouzegza, M., Belatreche, A. 25 Dec 2023, Proceedings of the 10th International Conference on Advanced Intelligent Systems and Informatics (AISI-2024), Cham, Switzerland, Springer
  • OHON4D: Optimized Histogram of 4D Normals for Human Behaviour Recognition in Depth Sequences, Bouzegza, M., Belatreche, A., Bouridane, A., Elarbi-Boudihir, M. 29 Dec 2023, In: International Journal of intelligent Engineering Informatics
  • Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation, Wei, W., Zhang, M., Qu, H., Belatreche, A., Zhang, J., Chen, H. 1 Oct 2023, Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision (ICCV 2023), Piscataway, US, IEEE
  • A Comprehensive Review of Video Steganalysis, Bouzegza, M., Belatreche, A., Bouridane, A., Tounsi, M. 13 Nov 2022, In: IET Image Processing
  • A Filtering Method for SIFT based Palm Vein Recognition, Perera, K., Khelifi, F., Belatreche, A. 30 Nov 2022, 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Piscataway, NJ, IEEE
  • A novel image enhancement method for palm vein images, Perera, K., Khelifi, F., Belatreche, A. 17 May 2022, Proceedings of the IEEE International Conference on Control, Decisions and Information Technologies (CODIT 2022) , Piscataway, NJ, IEEE
  • 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. May 2022, In: IEEE Transactions on Neural Networks and Learning Systems
  • Towards Building a Facial Identification System Using Quantum Machine Learning Techniques, Easom - McCaldin, P., Bouridane, A., Belatreche, A., Jiang, R. 1 Apr 2022, In: Journal of Advances in Information Technology
  • 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

  • Mark Hurrell Early Detection of Multiple Sclerosis from Magnetic resonance imaging using Machine Learning. Start Date: 01/03/2022 End Date: 07/06/2023
  • Jaime Ibarra Jimenez Preserving Privacy on Internet of Things Forensics: A Forensic Investigation Model (IoT-FIM) Start Date: 11/03/2022 End Date: 17/02/2023
  • Baqar Rizvi Anomaly Detection Approaches for Stock Price Manipulation Detection Start Date: 01/03/2017 End Date: 25/06/2022
  • Mourad Bouzegza Advancing multidimensional video analysis to enhance human behaviour understanding and Steganalysis for forensic applications Start Date: 01/09/2021
  • Philip Easom - McCaldin An Investigation into Quantum Machine Learning Based Image Classification Start Date: 01/09/2021 End Date: 25/11/2022
  • Omer Ogutcen Pareto-optimal based feature selection framework for biomarker identification Start Date: 19/07/2017 End Date: 18/11/2020
  • 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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