Dr Ammar Belatreche

Associate Professor

Department: Computer and Information Sciences

Dr. 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

Email Ammar

Key Publications

Please visit the Pure Research Information Portal for further information
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. 17 Jul 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 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
Efficient Quantum Image Classification Using Single Qubit Encoding, Easom - McCaldin, P., Bouridane, A., Belatreche, A., Jiang, R., Almaadeed, S. 17 Jun 2022, In: IEEE Transactions on Neural Networks and Learning Systems
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
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

PGR Supervision

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
Lucky Singh Application of AI and machine learning methodologies to improve the current profiling and decision making in security and network infrastructure components. Start Date: 11/03/2022
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 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