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Dr Ammar Belatreche

Associate Professor

School: Computer Science

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
NE1 8ST

  • Please visit the Pure Research Information Portal for further information
  • 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)
  • 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. 25 Oct 2025, In: International Journal of Intelligent Robotics and Applications
  • 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
  • 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. 27 Oct 2025, In: IEEE Transactions on Neural Networks and Learning 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)
  • Ternary Spike-based Neuromorphic Signal Processing System, Wang, S., Zhang, D., Belatreche, A., Xiao, Y., Qing, H., Wei, W., Zhang, M., Yang, Y. 1 Jul 2025, In: Neural Networks

  • 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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