Dr Ammar Belatreche

Associate Professor

School: Computer Science

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
Reinforcement learning for hexapod robot trajectory control: a study of Q-learning and SARSA algorithms, Benyoucef, A., Zennir, Y., Belatreche, A., Silva, M., Benghanem, M. 1 Mar 2026, In: International Journal of Intelligent Robotics and Applications
SNN-FT: Temporal-Coded Spiking Neural Networks for Fourier Transform, Wang, S., Zheng, H., Chen, Y., Belatreche, A., Wang, G., Jin, Y., Wu, J., Zhang, M., Yang, Y., Li, H. 1 Apr 2026, In: IEEE Transactions on Neural Networks and Learning Systems
Towards Training-Free and Accurate ANN-to-SNN Conversion via Activation-Aware Redistribution, Cao, H., Wang, S., Zhou, Z., Belatreche, A., Wei, W., Liang, Y., Yang, Y., Xi, R., Zhang, M., Li, H. 14 Mar 2026, Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence, Sinapore, Association for the Advancement of Artificial Intelligence
Binary Event-Driven Spiking Transformer, Cao, H., Zhou, Z., Wei, W., Liang, Y., Belatreche, A., Zhang, D., Zhang, M., Yang, Y., Li, H. 16 Aug 2025, Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, International Joint Conferences on Artifical Intelligence
BSO: Binary Spiking Online Optimization, Liang, Y., Yang, Y., Wei, W., Belatreche, A., Wang, S., Zhang, M., Yang, Y. 6 Jun 2025, Proceedings of Machine Learning Research, ML Research Press
QP-SNN: Quantized and Pruned Spiking Neural Networks, Wei, W., Zhou, Z., Belatreche, A., Shan, Y., Liang, Y., Cao, H., Zhang, J., Zhang, M., Yang, Y. 22 Jan 2025, The 13th International Conference on Learning Representations, Appleton, US, International Conference on Learning Representations (ICLR)
QP-SNNS: Quantized and Pruned Spiking Neural Networks, Wei, W., Zhang, M., Zhou, Z., Belatreche, A., Shan, Y., Liang, Y., Cao, H., Zhang, J., Yang, Y. Jun 2025, 13th International Conference on Learning Representations, ICLR 2025, International Conference on Learning Representations (ICLR)
S2NN: Sub-bit Spiking Neural Networks, Wei, W., Zhang, M., Zhang, J., Belatreche, A., Wang, S., Shan, Y., Liu, H., Cao, H., Wang, G., Yang, Y., Li, H. 18 Sep 2025, Thirty-Ninth Annual Conference on Neural Information Processing Systems
Spike-Driven Lightweight Large Language Model With Evolutionary Computation, Zhang, M., Wei, W., Zhou, Z., Liu, W., Zhang, J., Belatreche, A., Yang, Y. 5 Sep 2025, In: IEEE Transactions on Evolutionary Computation
Spiking Vision Transformer with Saccadic Attention, Wang, S., Zhang, D., Belatreche, A., Xiao, Y., Liang, Y., Shan, Y., Sun, Q., Zhang, E., Zhang, M. 22 Jan 2025, The 13th International Conference on Learning Representations, Appleton, US, International Conference on Learning Representations (ICLR)