Ammar Belatreche

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 ��ϲ�� 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
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Newcastle upon Tyne
NE1 8ST

Email Ammar

Key Publications

A Framework for Analyzing Motion Vector Entropy in H.265 Encoded Videos, Bouzegza, M., Belatreche, A. 13 Oct 2024, Proceedings of the 10th International Conference on Advanced Intelligent Systems and Informatics, Cham, Switzerland, Springer
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
OHON4D: optimised histogram of 4D normals for human behaviour recognition in depth sequences, Bouzegza, M., Belatreche, A., Bouridane, A., Elarbi-Boudihir, M. 26 Jul 2024, In: International Journal of Intelligent Engineering Informatics
Q-SNNs: Quantized Spiking Neural Networks, Wei, W., Liang, Y., Belatreche, A., Xiao, Y., Cao, H., Ren, Z., Wang, G., Zhang, M., Yang, Y. 28 Oct 2024, 32nd ACM Multimedia Conference (MM 2024), 28 October - 1 November 2024, Melbourne, Australia , ACM
Spike-based Neuromorphic Model for Sound Source Localization, Zhang, D., Wang, S., Belatreche, A., Wei, W., Xiao, Y., Zheng, H., Zhou, Z., Zhang, M., Yang, Y. 25 Sep 2024, Advances in Neural Information Processing Systems 37 (NeurIPS 2024), San Diego, US, Neural information processing systems foundation
Stock Price Manipulation Detection using Spiking Neural Networks, Belatreche, A., Ada-Ibrama, O., Rizvi, B. 30 Jun 2024, 2024 International Joint Conference on Neural Networks, IJCNN 2024 - Proceedings, Piscataway, US, IEEE
Stock Price Manipulation Detection using Variational Autoencoder and Recurrence Plots, Safa, K., Belatreche, A., Ouadfel, S. 30 Jun 2024, 2024 International Joint Conference on Neural Networks, IJCNN 2024 - Proceedings, Piscataway, US, IEEE
WALDATA: Wavelet transform based adversarial learning for the detection of anomalous trading activities, Safa, K., Belatreche, A., Ouadfel, S., Jiang, R. 1 Dec 2024, In: Expert Systems with Applications
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

PGR Supervision

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
Jie Zhao A Novel Optimisation Approach for Automatic Pipe Routing Start Date: 01/05/2024
Mark Hurrell Early Detection of Multiple Sclerosis from Magnetic resonance imaging using Machine Learning. Start Date: 01/03/2022 End Date: 07/06/2023
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
Baqar Rizvi Anomaly Detection Approaches for Stock Price Manipulation Detection Start Date: 01/03/2017 End Date: 25/06/2022
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