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.
Sampling and processing for diffusion magnetic resonance imaging. This project aims to develop optimal, efficient and robust signal processing methods for diffusion magnetic resonance imaging (dMRI) with reduced scan times. A child, possibly distressed, can only be motionless long enough to undergo a basic dMRI scan of the brain, but enhanced forms of dMRI need at least 60 minutes. The project’s processing methods will use spherical geometries, which encode information about white matter fibres ....Sampling and processing for diffusion magnetic resonance imaging. This project aims to develop optimal, efficient and robust signal processing methods for diffusion magnetic resonance imaging (dMRI) with reduced scan times. A child, possibly distressed, can only be motionless long enough to undergo a basic dMRI scan of the brain, but enhanced forms of dMRI need at least 60 minutes. The project’s processing methods will use spherical geometries, which encode information about white matter fibres in the brain, to collect and reconstruct images. The project is expected to reduce dMRI scan times and ultimately make non-invasive and inexpensive early detection of neurological disorders such as dementia feasible.Read moreRead less
Novel time-frequency techniques for analysing and modeling non-stationary physical and engineering data. This project addresses an issue of fundamental importance in science and technology, where non-stationary data (which have time-varying statistics) are ubiquitous. Therefore, the development of time-frequency tools to model and analyse non-stationary data has great potential for impact in a wide range of areas reaching from seismic data analysis to biomedical signal processing to sonar and ra ....Novel time-frequency techniques for analysing and modeling non-stationary physical and engineering data. This project addresses an issue of fundamental importance in science and technology, where non-stationary data (which have time-varying statistics) are ubiquitous. Therefore, the development of time-frequency tools to model and analyse non-stationary data has great potential for impact in a wide range of areas reaching from seismic data analysis to biomedical signal processing to sonar and radar. Employing techniques to be developed in this proposal, we expect to be able to classify and detect features of non-stationary data that were unrecognisable using hitherto known methods.Read moreRead less
Spectral analysis with selective harmonic emphasis. This project lies under ARC research priority area "Frontier Technologies for Building and Transforming Australian Industries". The signal processing algorithms to be developed in this project will be useful in many important practical applications, which include various bio-medical imaging modalities, beamforming, radar, sonar and target tracking using sensor arrays. The idea is to use the prior knowledge to enhance certain desired properties ....Spectral analysis with selective harmonic emphasis. This project lies under ARC research priority area "Frontier Technologies for Building and Transforming Australian Industries". The signal processing algorithms to be developed in this project will be useful in many important practical applications, which include various bio-medical imaging modalities, beamforming, radar, sonar and target tracking using sensor arrays. The idea is to use the prior knowledge to enhance certain desired properties of the algorithms via intelligent processing. In this light the project also lies within the ARC research priority area of "Smart Information use".Read moreRead less
Signal processing algorithms for interpreting multi-dimensional ambulatory data during normal activities: correlates of current measures of fall risk. This project will develop algorithms to analyse human movement, measured using a small waist-worn sensor, which approximate existing clinical tests to identify likely fallers. This will enable future fall risk monitor development. This is an important problem as one in three senior citizens fall each year, costing around $500 million in healthcare ....Signal processing algorithms for interpreting multi-dimensional ambulatory data during normal activities: correlates of current measures of fall risk. This project will develop algorithms to analyse human movement, measured using a small waist-worn sensor, which approximate existing clinical tests to identify likely fallers. This will enable future fall risk monitor development. This is an important problem as one in three senior citizens fall each year, costing around $500 million in healthcare.Read moreRead less
Joint System Identification for Point Processes and Time-series. In various application areas such as neurophysiology, earthquake modeling, price spikes in electricity markets, the data of interest are point processes (aka sequences of events) or combinations of point processes and analog signals. To understand the underlying subject of interest we need to be able to extract the maximum information from these observation sequences. The current tools for doing this are very limited. This resear ....Joint System Identification for Point Processes and Time-series. In various application areas such as neurophysiology, earthquake modeling, price spikes in electricity markets, the data of interest are point processes (aka sequences of events) or combinations of point processes and analog signals. To understand the underlying subject of interest we need to be able to extract the maximum information from these observation sequences. The current tools for doing this are very limited. This research program will develop the complex signal processing and system methodology needed to create a suitable tool set.Read moreRead less
Space-time and time-frequency applications of improper complex processes. This project addresses an issue of fundamental importance to many areas in science and engineering. It is thus expected that the results will be disseminated in high-quality journals and receive widespread attention and recognition. This will advance Australia's research profile in the world.
The project can also be expected to have an immediate impact on the design of next generation communications technologies, thus aid ....Space-time and time-frequency applications of improper complex processes. This project addresses an issue of fundamental importance to many areas in science and engineering. It is thus expected that the results will be disseminated in high-quality journals and receive widespread attention and recognition. This will advance Australia's research profile in the world.
The project can also be expected to have an immediate impact on the design of next generation communications technologies, thus aiding Australian industries in the development of frontier technologies.
Australia will also benefit economically and socially by the specialised engineers and researchers in signal processing and communications that will be trained in the course of this project.Read moreRead less
New techniques to detect fetal heart abnormalities. Australia’s national fetal death rate is 6.7 per one thousand births. In Australia’s Indigenous community it surges to 12.3 deaths per one thousand births. Early diagnosis (and management) of abnormal fetu.ses with cardiac defects will go a long way in reducing these numbers. The proposed technology will help set up easy-to-use systems for fetal cardiac abnormality screening and reduce fetal deaths and congenital heart disease burden in adult l ....New techniques to detect fetal heart abnormalities. Australia’s national fetal death rate is 6.7 per one thousand births. In Australia’s Indigenous community it surges to 12.3 deaths per one thousand births. Early diagnosis (and management) of abnormal fetu.ses with cardiac defects will go a long way in reducing these numbers. The proposed technology will help set up easy-to-use systems for fetal cardiac abnormality screening and reduce fetal deaths and congenital heart disease burden in adult life. This project will also provide domain trained researchers with cutting edge international academic and industry expertise.Read moreRead less
Developing vehicle-based advanced warning countermeasures for driver fatigue. Driver fatigue is a major problem in Australia in terms of health, road safety and economic impact. Countermeasures to combat the influence of driver fatigue have been limited to public campaign strategies like resting every 2 hours. There has been little robust research on developing on-road countermeasures that could warn the driver of their fatigue status. This proposed project involves a collaboration with Compumed ....Developing vehicle-based advanced warning countermeasures for driver fatigue. Driver fatigue is a major problem in Australia in terms of health, road safety and economic impact. Countermeasures to combat the influence of driver fatigue have been limited to public campaign strategies like resting every 2 hours. There has been little robust research on developing on-road countermeasures that could warn the driver of their fatigue status. This proposed project involves a collaboration with Compumedics Ltd, a leading medical device company, to conduct sophisticated research into developing an EEG and wheel behaviour fatigue countermeausure. We will further explore EEG and wheel behaviour patterns associated with fatigue, investigate noise control strategies, and conduct laboratory and on road field trials of the fatigue monitor. If this device is able to assess fatigue reliably and warn drivers in sufficient time to avert accidents, then substantial economic and social benefits will occur.Read moreRead less
Bayesian inference for complex regression models using mixtures. The project will use mixtures to flexibly model complex regression functions and will develop Bayesian methods for carrying out statistical inference on these models. The models will deal with both Gaussian and non-Gaussian data. Multiple explanatory variables are dealt with by mixing simple additives to produce flexible high dimensional function estimates. Variable selection and model averaging will be used to identify important v ....Bayesian inference for complex regression models using mixtures. The project will use mixtures to flexibly model complex regression functions and will develop Bayesian methods for carrying out statistical inference on these models. The models will deal with both Gaussian and non-Gaussian data. Multiple explanatory variables are dealt with by mixing simple additives to produce flexible high dimensional function estimates. Variable selection and model averaging will be used to identify important variables and thus make the estimation more efficient. The methods will be extended to multivariate responses where account will taken be taken of the structure of the dependence between responses.Read moreRead less