Doctor Saeed Afshar

Doctor Saeed Afshar

Casual Academic,
Deans Unit School of Computing, Engineering & Math

Postdoctoral Research Fellow in Neuromorphic Systems,
International Centre for Neuromorphic Systems

Postdoctoral Research Fellow in Neuromorphic Systems,
MARCS Institute for Brain, Behaviour & Development

Biography

Qualifications

  • PhD Western Sydney University

Organisational Unit (School / Division)

  • Deans Unit School of Computing, Engineering & Math
  • International Centre for Neuromorphic Systems
  • MARCS Institute for Brain, Behaviour & Development

Contact

Email: S.Afshar@westernsydney.edu.au
Phone: (02) 9852 5017
Mobile:
Location: BA.2.01
Penrith (Werrington South)

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Publications

Chapters in Books

  • Zappa, F., Villa, F., Lussana, R., Delic, D., Mau, M., Redoute, J., Kennedy, S., Morrison, D., Yuce, M., Alan, T., Hamilton, T. and Afshar, S. (2020), 'Microelectronic 3D imaging and neuromorphic recognition for autonomous UAVs', Advanced Technologies for Security Applications: Proceedings of the NATO Science for Peace and Security 'Cluster Workshop on Advanced Technologies', 17-18 September 2019, Leuven, Belgium, Springer 9789402420203.

Journal Articles

  • 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.
  • 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 .

Conference Papers

  • Islam, M., Xu, Y., Afshar, S., Monk, T. and Schaik, A. (2021), 'Investigation of auditory nerve model and conventional approaches in noise-robust speaker identification', International Conference on Frontiers of Signal Processing, online.
  • Xu, Y., Afshar, S., Singh, R., Wang, R., Schaik, A. and Hamilton, T. (2019), 'A binaural sound localization system using deep convolutional neural networks', IEEE International Symposium on Circuits and Systems, Sapporo, Japan.
  • Mau, J., Afshar, S., Hamilton, T., Schaik, A., Lussana, R., Panella, A., Trumpf, J. and Delic, D. (2019), 'Embedded implementation of a random feature detecting network for real-time classification of time-of-flight SPAD array recordings', Laser Radar Technology and Applications (Conference), Baltimore, Md..
  • Xu, Y., Xu, Y., Afshar, S., Singh, R., Hamilton, T., Wang, R. and van Schaik, F. (2018), 'A machine hearing system for binaural sound localization based on instantaneous correlation', IEEE International Symposium on Circuits and Systems, Florence, Italy.
  • Cohen, G., Afshar, S. and Schaik, A. (2018), 'Approaches for astrometry using event-based sensors', Advanced Maui Optical and Space Surveillance Technologies Conference, Maui, Hawaii.
  • Chakraborty, S., Priyanka, P., Gupta, S., Afshar, S., Hamilton, T. and Thakur, C. (2018), 'Neuromorphic object tracking architecture, based on compound eyes, and implementation on FPGA', Midwest Symposium on Circuits and Systems, Windsor, Ont..
  • Cohen, G., Afshar, S., Tapson, J. and van Schaik, A. (2017), 'EMNIST : extending MNIST to handwritten letters', International Joint Conference on Neural Networks, Anchorage, Alaska.
  • Cohen, G., Afshar, S., van Schaik, A., Wabnitz, A., Bessell, T., Rutten, M. and Morreale, B. (2017), 'Event-based sensing for space situational awareness', Advanced Maui Optical and Space Surveillance Technologies Conference, Hawaii.
  • Sofatzis, R., Afshar, S. and Hamilton, T. (2014), 'Rotationally invariant vision recognition with neuromorphic transformation and learning networks', IEEE International Symposium on Circuits and Systems , Melbourne, Vic..
  • Sofatzis, R., Afshar, S. and Hamilton, T. (2014), 'The Synaptic Kernel Adaptation Network', IEEE International Symposium on Circuits and Systems, Melbourne, Vic..

Current Projects

Title: Neuromorphic Processors for Cyber Security Applications at the Edge
Funder:
  • Department of Defence
Western Researchers: Saeed Afshar and Andre Van Schaik
Years: 2021-05-11 - 2024-05-11
ID: P00027251

Previous Projects

Title: Brain-Inspired Algorithms for Network Anomaly and Intrusion Detection
Funder:
  • Department of Defence
Western Researchers: Andre Van Schaik, Saeed Afshar, Ahmed Moustafa, Abubakar Bello and Alana Maurushat
Years: 2020-02-12 - 2020-06-30
ID: P00026394
Title: Decoding audio-visual honeybee hive signals for waggle dance detection and hive health monitoring
Funder:
  • Eva Crane Trust
Western Researchers: James Makinson, Ying Xu, Saeed Afshar and James Cook
Years: 2021-02-01 - 2021-12-31
ID: P00026952
Title: A feasibility study for the development of a sensor-processor system to detect Koala bellows
Funder:
  • Biodiversity Monitoring Services
Western Researchers: Ying Xu, Saeed Afshar and Andre Van Schaik
Years: 2022-01-17 - 2022-03-31
ID: P00027733

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