Professor Paul Hurley
Professor of Data Science,
Data Science
Biography
Qualifications
- PhD Swiss Federal Institute Of Technology Lausanne
- BSc National University of Ireland
Organisational Unit (School / Division)
- Data Science
Contact
| Email: | Paul.Hurley@westernsydney.edu.au |
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| Phone: | |
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| Location: | EN.1.31 Parramatta |
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Publications
Journal Articles
- Simeoni, M., Besson, A., Hurley, P. and Vetterli, M. (2021), 'CPGD : Cadzow plug-and-play gradient descent for generalised FRI', IEEE Transactions on Signal Processing, vol 69 , pp 42 - 57.
- Pan, H., Simeoni, M., Hurley, P., Blu, T. and Vetterli, M. (2017), 'LEAP : looking beyond pixels with continuous-space EstimAtion of Point sources', Astronomy and Astrophysics, vol 608 .
Conference Papers
- Simeoni, M. and Hurley, P. (2021), 'Siml : sieved maximum likelihood for array signal processing', ICASSP (Conference) , Toronto, Ont..
- Simeoni, M. and Hurley, P. (2019), 'Graph spectral clustering of convolution artefacts in radio interferometric images', IEEE International Conference on Acoustics, Speech and Signal Processing, Brighton, U.K..
- Simeoni, M., Kashani, S., Hurley, P. and Vetterli, M. (2019), 'DeepWave : a recurrent neural-network for real-time acoustic imaging', NeurIPS Conference, Vancouver, Canada.
- Roquette, L., Simeoni, M. and Hurley, P. (2018), 'A functional framework for ultrasound imaging', International Conference on Image Processing, Athens, Greece.
- Gurel, N., Hurley, P. and Simeoni, M. (2018), 'Towards more accurate radio telescope images', IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Salt Lake City, Utah.
- Roquette, L., Simeoni, M., Hurley, P. and Besson, A. (2017), 'On an analytical, spatially-varying, formulation of the point-spread-function with an application to deconvolution', IEEE International Ultrasonics Symposium, Washington, D.C., Wash..
- Gurel, N., Hurley, P. and Simeoni, M. (2017), 'Denoising radio interferometric images by subspace clustering', IEEE International Conference on Image Processing, Beijing, China.
- Wei, L., Wijnholds, S. and Hurley, P. (2017), 'Robust recovery for aperture synthesis imaging', IEEE International Conference on Image Processing, Beijing, China.
- Hurley, P. and Simeoni, M. (2017), 'Flexarray : random phased array layouts for analytical spatial filtering', ICASSP (Conference), New Orleans, La..
- Bezzam, E., Scheibler, R., Azcarreta, J., Pan, H., Simeoni, M., Beuchat, R., Hurley, P., Bruneau, B., Ferry, C. and Kashani, S. (2017), 'Hardware and software for reproducible research in audio array signal processing', ICASSP (Conference), New Orleans, La..
- Roquette, L., Simeoni, M., Hurley, P. and Besson, A. (2017), 'On an analytical, spatially-varying, point-spread-function', IEEE International Ultrasonics Symposium, Washington, D.C..
- Hurley, P. and Simeoni, M. (2016), 'Flexibeam : analytic spatial filtering by beamforming', International Conference on Acoustics, Speech and Signal Processing, Shanghai, China.
- Cherubini, G., Hurley, P., Simeoni, M. and Kazemi, S. (2016), 'Imaging in radio interferometry by iterative subset scanning using a modified AMP algorithm', ICASSP (Conference), Shanghai, China.
- Hurley, P. and Simeoni, M. (2016), 'Beamforming towards regions of interest for multi-site mobile networks', International Zurich Seminar on Communications, Zurich, Switzerland.
- Ocal, O., Hurley, P., Cherubini, G. and Kazemi, S. (2015), 'Collaborative randomized beamforming for phased array radio interferometers', ICASSP (Conference), Brisbane, Qld..
- Ionesou, R., Hurley, P. and Apostol, S. (2015), 'Inverse lithography using sparse mask representations', Optical Microlithography (Conference), San Jose, Calif..
- Cherubini, G., Hurley, P., Simeoni, M. and Kazemi, S. (2015), 'Iterative image subset scanning for image reconstruction from sensor signals', IEEE International Symposium on Signal Processing and Information Technology, Abu Dhabi, United Arab Emirates.
Current Projects
| Title: | Development and validation of early diagnostic test screens for dementia |
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| Western Researchers: | Mourad Tayebi, David Mahns, Morven Cameron and Paul Hurley |
| Years: | 2021-07-01 - 2025-06-30 |
| ID: | P00027520 |
| Title: | Physics-aware machine learning for data-driven fire risk prediction |
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| Western Researchers: | Matthias Boer, Rachael Nolan and Paul Hurley |
| Years: | 2022-01-01 - 2024-12-31 |
| ID: | P00027234 |
| Title: | Co-funded post-doctoral position with WentWest Primary Health Network |
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| Western Researchers: | Andrew Page, Paul Hurley and Yi Guo |
| Years: | 2022-09-01 - 2025-09-01 |
| ID: | P00028241 |
| Title: | Physiological and physics-based Machine Learning for cardiovascular waveform diagnostic pattern recognition |
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| Western Researchers: | Paul Hurley and Paul Breen |
| Years: | 2023-01-01 - 2026-12-31 |
| ID: | P00028326 |
| Title: | EEG / ECG first-principle signal processing and machine learning for early identification of stroke neurology |
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| Western Researchers: | Paul Hurley and Paul Breen |
| Years: | 2022-08-01 - 2025-12-31 |
| ID: | P00028075 |