Discovery Early Career Researcher Award - Grant ID: DE130101000
Funder
Australian Research Council
Funding Amount
$270,847.00
Summary
Next generation acoustic sensor arrays for super resolution imaging. This project aims to develop a new type of acoustic lens that enhances incoherent sensing. This compressive acoustic sensing approach will achieve super-resolution imaging that is robust to noise. The technology has diverse applications including medical imaging, petroleum prospecting, sonar and acoustic holography and will lead to new technology for Australia.
Real-time signal processing and distributed robotic telescope networking for co-detection of gravitational waves and their optical counterparts. An international collaboration of scientists will employ a global network of telescopes and detectors to search for ripples in space-time. The project will use novel computational tools to study exotic phenomena in the distant Universe.
Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it i ....Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it is not clear to the end user how reliable the results are. The outcomes intend to deliver advanced knowledge and capability in artificial intelligence and machine learning that Australia urgently needs to capitalise on bringing deep learning into practical applications delivering economic, commercial and social impact.Read moreRead less
Physiologically accurate audio processing in cochlear implants. This project proposes to use a physiologically motivated computational model of the cochlea, which along with newly developed cochlear-implant electrode technology will produce the next quantum improvement in speech intelligibility and quality of hearing for implant recipients.