Doctor Saeed Afshar

Journal Articles

• Jolley, A., Afshar, S., Cohen, G., Pahlavani, R. and Lambert, A. (2023), 'Neuromorphic sensor event-rate monitoring for satellite characterization', Journal of Spacecraft and Rockets, vol 60, no 3 , pp 753 - 764.
• Baker, E., Li, W., Hodges, R., Masso, S., Jones, C., Guo, Y., Alt, M., Antoniou, M., Afshar, S., Tosi, K. and Munro, N. (2023), 'Harnessing automatic speech recognition to realise sustainable development goals 3, 9, and 17 through interdisciplinary partnerships for children with communication disability', International Journal of Speech-Language Pathology, vol 25, no 1 , pp 125 - 129.
• Mehrabi, A., Bethi, Y., Schaik, A. and Afshar, S. (2023), 'An optimized multi-layer spiking neural network implementation in FPGA without multipliers', Procedia Computer Science, vol 222 , pp 407 - 414.
• Ralph, N., Marcireau, A., Afshar, S., Tothill, N., Schaik, A. and Cohen, G. (2023), 'Astrometric calibration and source characterisation of the latest generation neuromorphic event-based cameras for space imaging', Astrodynamics, vol 7, no 4 , pp 415 - 443.
• Xu, Y., Perera, S., Bethi, Y., Afshar, S. and Schaik, A. (2023), 'Event-driven spectrotemporal feature extraction and classification using a silicon cochlea model', Frontiers in Neuroscience, vol 17 .
• Islam, M., Xu, Y., Monk, T., Afshar, S. and Schaik, A. (2022), 'Noise-robust text-dependent speaker identification using cochlear models', Journal of the Acoustical Society of America, vol 151, no 1 , pp 500 - 516.
• Milde, M., Afshar, S., Xu, Y., Marcireau, A., Joubert, D., Ramesh, B., Bethi, Y., Ralph, N., El Arja, S., Dennler, N., Schaik, A. and Cohen, G. (2022), 'Neuromorphic engineering needs closed-loop benchmarks', Frontiers in Neuroscience, vol 16 .
• Ralph, N., Joubert, D., Jolley, A., Afshar, S., Tothill, N., Schaik, A. and Cohen, G. (2022), 'Real-time event-based unsupervised feature consolidation and tracking for space situational awareness', Frontiers in Naeuroscience, vol 16 .
• Bethi, Y., Xu, Y., Cohen, G., Van Schaik, A. and Afshar, S. (2022), 'An optimized deep spiking neural network architecture without gradients', IEEE Access, vol 10 , pp 97912 - 97929.
• Xu, Y., Afshar, S., Wang, R., Cohen, G., Thakur, C., Hamilton, T. and Schaik, A. (2021), 'A biologically inspired sound localisation system using a silicon cochlea pair', Applied Sciences, vol 11, no 4 .
• Afshar, S., Ralph, N., Xu, Y., Tapson, J., Schaik, A. and Cohen, G. (2020), 'Event-based feature extraction using adaptive selection thresholds', Sensors, vol 20, no 6 .
• Afshar, S., Nicholson, A., Schaik, A. and Cohen, G. (2020), 'Event-based object detection and tracking for space situational awareness', IEEE Sensors Journal, vol 20, no 24 , pp 15117 - 15132.
• Afshar, S., Hamilton, T., Davis, L., Schaik, A. and Delic, D. (2020), 'Event-based processing of single photon avalanche diode sensors', IEEE Sensors Journal, vol 20, no 14 , pp 7677 - 7691.
• Afshar, S., Hamilton, T., Tapson, J., van Schaik, F. and Cohen, G. (2019), 'Investigation of event-based surfaces for high-speed detection, unsupervised feature extraction, and object recognition', Frontiers in Neuroscience, vol 12 .
• Cohen, G., Afshar, S., Morreale, B., Bessell, T., Wabnitz, A., Rutten, M. and Schaik, A. (2019), 'Event-based sensing for Space Situational Awareness', Journal of the Astronautical Sciences, vol 66, no 2 , pp 125 - 141.
• Cohen, G., Afshar, S., Orchard, G., Tapson, J., Benosman, R. and van Schaik, A. (2018), 'Spatial and temporal downsampling in event-based visual classification', IEEE Transactions on Neural Networks and Learning Systems, vol 29, no 10 , pp 5030 - 5044.
• Thakur, C., Afshar, S., Wang, R., Hamilton, T., Tapson, J. and van Schaik, A. (2016), 'Bayesian estimation and inference using stochastic electronics', Frontiers in Neuroscience, vol 10 .
• Afshar, S., George, L., Thakur, C., Tapson, J., van Schaik, A., De Chazal, P. and Hamilton, T. (2015), 'Turn down that noise : synaptic encoding of afferent SNR in a single spiking neuron', IEEE Transactions on Biomedical Circuits and Systems, vol 9, no 2 , pp 188 - 196.
• Thakur, C., Wang, R., Afshar, S., Hamilton, T., Tapson, J., Shamma, S. and van Schaik, A. (2015), 'Sound stream segregation : a neuromorphic approach to solve the 'cocktail party problem' in real-time', Frontiers in Neuroscience, vol 9 .
• Hamilton, T., Afshar, S., Van Schaik, A. and Tapson, J. (2014), 'Stochastic electronics : a neuro-inspired design paradigm for integrated circuits', Proceedings of the Institute of Electrical and Electronics Engineers, vol 102, no 5 , pp 843 - 859.
• Afshar, S., George, L., Tapson, J., van Schaik, A. and Hamilton, T. (2014), 'Racing to learn : statistical inference and learning in a single spiking neuron with adaptive kernels', Frontiers in Neuroscience, vol 8, no Nov .
• Tapson, J., Cohen, G., Afshar, S., Stiefel, K., Buskila, Y., Wang, R., Hamilton, T. and Van Schaik, A. (2013), 'Synthesis of neural networks for spatio-temporal spike pattern recognition and processing', Frontiers in Neuroscience, , no 7 .
• Afshar, S., Cohen, G., Wang, R., Van Schaik, A., Tapson, J., Lehmann, T. and Hamilton, T. (2013), 'The ripple pond : enabling spiking networks to see', Frontiers in Neuroscience, vol 7 .