Doctor Mark Wang
Senior Lecturer in Bioelectronics and Neuroscience,
International Centre for Neuromorphic Systems
Lecturer,
Dean's Unit School of Engineering
Senior Lecturer,
Dean's Unit, School of Eng, Design & Built Enviro.
Biography
Qualifications
- PhD University of Western Sydney
- MEng Shanghai Jiaotong University
- BCommEng East China Normal University (PRC)
Organisational Unit (School / Division)
- International Centre for Neuromorphic Systems
- Dean's Unit School of Engineering
- Dean's Unit, School of Eng, Design & Built Enviro.
Contact
| Email: | mark.Wang@westernsydney.edu.au |
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| Phone: | (02) 47360 473 |
| Mobile: | |
| Location: | BA.2.05 Penrith (Werrington South) |
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Publications
Journal Articles
- 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 .
- Singh, R., Xu, Y., Xu, Y., Wang, R., Hamilton, T., Denham, S. and Schaik, A. (2019), 'CAR-Lite : a multi-rate cochlear model on FPGA for spike-based sound encoding', IEEE Transactions on Circuits and Systems I: Regular Papers, vol 66, no 5 , pp 1805 - 1817.
- Xu, Y., Xu, Y., Thakur, C., Singh, R., Hamilton, T., Wang, R. and van Schaik, A. (2018), 'A FPGA implementation of the CAR-FAC cochlear model', Frontiers in Neuroscience, vol 12, no APR .
- Thakur, C., Wang, R., Hamilton, T., Etienne-Cummings, R., Tapson, J. and van Schaik, F. (2018), 'An analogue neuromorphic co-processor that utilizes device mismatch for learning applications', IEEE Transactions on Circuits and Systems I: Regular Papers, vol 65, no 4 , pp 1174 - 1184.
- Wang, R. and Schaik, A. (2018), 'Breaking Liebig's law : an advanced multipurpose neuromorphic engine', Frontiers in Neuroscience, vol 12 .
- Wang, R., Thakur, C. and Schaik, A. (2018), 'An FPGA-based massively parallel neuromorphic cortex simulator', Frontiers in Neuroscience, vol 12 .
- Wang, R., Thakur, C., Cohen, G., Hamilton, T., Tapson, J. and van Schaik, A. (2017), 'Neuromorphic hardware architecture using the neural engineering framework for pattern recognition', IEEE Transactions on Biomedical Circuits and Systems, vol 11, no 3 , pp 574 - 584.
- 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 .
- Thakur, C., Wang, R., Hamilton, T., Tapson, J. and van Schaik, A. (2016), 'A low power trainable neuromorphic integrated circuit that is tolerant to device mismatch', IEEE Transactions on Circuits and Systems, vol 63, no 2 , pp 211 - 221.
- Wang, R., Hamilton, T., Tapson, J. and van Schaik, A. (2015), 'A neuromorphic implementation of mutliple spike-timing synaptic plasticity rules for large-scale neural networks', Frontiers in Neuroscience, vol 9 .
- 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 .
- Wang, R., Hamilton, T., Tapson, J. and Van Schaik, A. (2014), 'A mixed-signal implementation of a polychronous spiking neural network with delay adaption', Frontiers in Neuroscience, vol 8, no 51 .
- Hussain, S., Basu, A., Wang, R. and Hamilton, T. (2014), 'Delay learning architectures for memory and classification', Neurocomputing, vol 138 , pp 14 - 26.
Conference Papers
- Perera, S., Xu, Y., Xu, Y., Schaik, A. and Wang, R. (2021), 'Live demonstration : an FPGA-based emulation of an event-based vision sensor using commercially available camera', IEEE International Symposium on Circuits and Systems, Daegu, Korea.
- 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.
- McDonnell, M., Mostafa, H., Wang, R. and Schaik, A. (2019), 'Single-bit-per-weight deep convolutional neural networks without batch-normalization layers for embedded systems', Asia-Pacific Conference on Intelligent Robot Systems, Nagoya, Japan.
- Singh, R., Xu, Y., Xu, Y., Wang, R., Hamilton, T., van Schaik, F. and Denham, S. (2018), 'CAR-Lite : a multi-rate cochlea model on FPGA', IEEE International Symposium on Circuits and Systems, Florence, Italy.
- 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.
- McDonnell, M., Wang, R. and van Schaik, F. (2017), 'Reduced-memory training and deployment of deep residual networks by stochastic binary quantization', Neuro Inspired Computational Elements Workshop, San Jose, Calif..
- Wang, R., Thakur, C., Hamilton, T., Tapson, J. and van Schaik, A. (2016), 'A stochastic approach to STDP', IEEE International Symposium on Circuits and Systems, Montreal, Canada.
- Wang, R., Cohen, G., Thakur, C., Tapson, J. and van Schaik, A. (2016), 'An SRAM-based implementation of a convolutional neural network', Biomedical Circuits and Systems Conference, Shanghai, China.
- Xu, Y., Xu, Y., Thakur, C., Singh, R., Wang, R., Tapson, J. and van Schaik, A. (2016), 'Electronic cochlea : CAR-FAC model on FPGA', Biomedical Circuits and Systems Conference, Shanghai, China.
- Thakur, C., Hamilton, T., Wang, R., Tapson, J. and van Schaik, A. (2015), 'A neuromorphic hardware framework based on population coding', International Joint Conference on Neural Networks, Killarney, Ireland.
- Wang, R., Thakur, C., Hamilton, T., Tapson, J. and van Schaik, A. (2015), 'A compact aVLSI conductance-based silicon neuron', Biomedical Circuits and Systems Conference, Atlanta, Ga..
- Xu, Y., Xu, Y., Thakur, C., Hamilton, T., Tapson, J., Wang, R. and van Schaik, A. (2015), 'A reconfigurable mixed-signal implementation of a neuromorphic ADC', Biomedical Circuits and Systems Conference, Atlanta, Ga..
- Wang, R., Hamilton, T., Tapson, J. and van Schaik, A. (2014), 'A compact neural core for digital implementation of the Neural Engineering Framework', IEEE Biomedical Circuits and Systems Conference, Lausanne, Switzerland.
- Wang, R., Hamilton, T., Tapson, J. and van Schaik, A. (2014), 'An FPGA design framework for large-scale spiking neural networks', IEEE International Symposium on Circuits and Systems, Melbourne, Vic..
- Wang, R., Hamilton, T., Tapson, J. and van Schaik, A. (2014), 'A generalised conductance-based silicon neuron for large-scale spiking neural networks', IEEE International Symposium on Circuits and Systems, Melbourne, Vic..
- Wang, R., Hamilton, T., Tapson, J. and van Schaik, A. (2014), 'A compact reconfigurable mixed-signal implementation of synaptic plasticity in spiking neurons', IEEE International Symposium on Circuits and Systems, Melbourne, Vic..
- Hussain, S., Basu, A., Wang, R. and Hamilton, T. (2012), 'DELTRON : neuromorphic architectures for delay based learning', IEEE Asia-Pacific Conference on Circuits and Systems, Kaohsiung, Taiwan.
Current Projects
| Title: | Turn-key neuromorphic solution for deep learning |
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| Funder: |
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| Western Researchers: | Andre Van Schaik and Mark Wang |
| Years: | 2019-06-01 - 2024-10-31 |
| ID: | P00025727 |