Research outputs per year
Research outputs per year
Organisation profile
Organisation profile
The International Centre for Neuromorphic Systems (ICNS) is a world-leading research concentration in neuromorphic engineering with outstanding publications, funding success, and teaching excellence.
ICNS researchers were the first to place neuromorphic sensors in space on the International Space Station and are developing sophisticated neuromorphic underwater and aerial autonomous drones and robots for a range of applications. We have built DeepSouth, the world’s first neuromorphic supercomputer to process as many spikes per second as a human brain.
Our Masters program prepares students for industry opportunities or a research pathway leading to a Doctoral degree. Students learn from global leaders and gain skills in bio-inspired agile sensory systems, AI and machine learning, smart edge devices, and brain-inspired high-performance computational platforms. With strong funding support, state-of-the-art facilities, and a world-class technical support team, researchers and students can rapidly prototype their novel ideas and apply them in the real world in the form of successful start-up companies.
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UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Profiles
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Doctor Saeed Afshar
- International Centre for Neuromorphic Systems - Postdoctoral Research Fellow in Neuromorphic Systems
Person: Researcher
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Doctor Evie Andrew
- International Centre for Neuromorphic Systems - Postdoctoral Research Fellow in Neuromorphic Systems
Person: Researcher
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Doctor Yeshwanth Bethi
- International Centre for Neuromorphic Systems - Postdoctoral Research Fellow in Machine Learning a
Person: Researcher
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Efficient hardware implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA
Mehrabi, A., Bethi, Y., Van Schaik, A., Wabnitz, A. & Afshar, S., 2024, In: IEEE Access. 12, p. 170980-170993 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
Falcon Neuro space-based observations of lightning using event-based sensors
McHarg, M. G., Jones, I. R., Wilcox, Z., Balthazor, R. L., Marcireau, A. & Cohen, G., 2024, In: Frontiers in Remote Sensing. 5, 11 p., 1436898.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Downloads (Pure) -
FlyCount: high-speed counting of black soldier flies using neuromorphic sensors
James, A., Seth, A., Marcireau, A., Mukhopadhyay, S., Hu, T. & Atayde, R., 2024, (E-pub ahead of print (In Press)) In: IEEE Sensors Journal. 9 p.Research output: Contribution to journal › Article › peer-review
Projects
- 26 Finished
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High-speed counting of black soldier flies for optimised waste recovery
Marcireau, A. (PI), Cohen, G. (Investigator), Xu, Y. (Investigator) & Jayasena, V. (Investigator)
NSW Smart Sensing Network, ARC Ento Tech
16/05/23 → 1/06/24
Project: Research
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UAV Visual Anomaly Detection in the Maritime Environment Using a Neuromorphic Sensor-Processor Platform
Afshar, S. (PI) & van Schaik, A. (Investigator)
1/03/23 → 1/03/24
Project: Research
Datasets
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Power Side-Channel data for GLV ECC coprocessor
Mehrabi, A., Western Sydney University, 5 May 2024
Dataset
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ATCA Study of Small Magellanic Cloud Supernova Remnant 1E 0102.2-7219
Alsaberi, R. Z. E., Filipovic, M., Dai, S., Sano, H., Kothes, R., Payne, J., Bozzetto, L., Brose, R., Collischon, E. J., Crawford, E., Haberl, F., Hill, T., Kavanagh-Patel, J., Knies, J., Leahy, D., Macgregor, P., Maggi, P., Maitra, C., Manojlovic, P., Matthews, C., Ralph, N., Rowell, G., Ruiter, A. J., Sasaki, M., Seitenzahl, I. R., Tokuda, K., Tothill, N., Uresovic, D., van Loon, J., Velovic, V. & Vogt, F. P. A., arXiv, 25 Oct 2023
DOI: 10.48550/arXiv.2310.16533, https://doi.org/10.48550/arXiv.2310.16533 and one more link, https://research-data.westernsydney.edu.au/published/58305dd0d75911eea1d643e149c78efd/ (show fewer)
Dataset
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Observations of naturally occurring lightning with an event-based vision sensor
Imogen, J., Hallgren, J., Ralph, N. O., Cohen, G., Marcireau, A. & Jones, I., ZENODO, 14 Feb 2024
DOI: 10.5281/zenodo.10656061, https://zenodo.org/records/10656061
Dataset
HDR theses
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An event-based prediction suffix tree
Andrew, E. (Author)van Schaik, A. (Supervisor), 2023Western Sydney University thesis: Doctoral thesis
File