Efficient learning from multiple brain imaging data sets. Brain imaging data analysis methods have proven to be very effective in the study of brain functions and the identification of brain disorders because they minimise the modelling assumptions on the underlying structure of the problem. Analysis of multiple brain imaging data sets, either of the same modality as in multitask or multisubject data sets or from different modalities as in the case of data fusion, is a challenging problem in bi ....Efficient learning from multiple brain imaging data sets. Brain imaging data analysis methods have proven to be very effective in the study of brain functions and the identification of brain disorders because they minimise the modelling assumptions on the underlying structure of the problem. Analysis of multiple brain imaging data sets, either of the same modality as in multitask or multisubject data sets or from different modalities as in the case of data fusion, is a challenging problem in biomedical image analysis. This project will lead to fundamental contributions as well as techniques that address both problems: extraction of relevant features information from multisubject brain imaging data sets of the same modality or from fusion of brain imaging data sets collected from multimodalities.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120102601
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Distribution-free system identification: building models from experimental data under minimal statistical assumptions. In fields with strict safety or quality requirements, such as production control, communication and navigation, there is a great need for methods that can build models with guaranteed performance. However, there is a lack of efficient solutions that can work under minimal assumptions on the disturbances; the project aims at developing such methods.
Continuous wave excitation for low power Magnetic Resonance Imaging. This project aims to augment the capabilities of Magnetic Resonance Imaging (MRI) systems, using continuous wave (CW) transmission and signal reception, to image objects using very low excitation power. Any given MRI sequence tries to solve an inverse problem, involving estimation of some subset of hidden states and parameters of the system, given the observed data. Using transient and steady-state CW magnetisation dynamics to ....Continuous wave excitation for low power Magnetic Resonance Imaging. This project aims to augment the capabilities of Magnetic Resonance Imaging (MRI) systems, using continuous wave (CW) transmission and signal reception, to image objects using very low excitation power. Any given MRI sequence tries to solve an inverse problem, involving estimation of some subset of hidden states and parameters of the system, given the observed data. Using transient and steady-state CW magnetisation dynamics to solve inverse problems is expected to advance technology toward lower power, lower cost solutions for MRI scanners in healthcare and industrial applications, including materials science and mineral processing.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100420
Funder
Australian Research Council
Funding Amount
$394,704.00
Summary
Large Scale Multiple Antennas for Energy-Efficient Heterogeneous Wireless Networks. This project investigates new network architectures for future wireless broadband inspired by recent advances in large scale multiple antenna technology and heterogeneous networks. The aim is to support flexible and scalable wireless services across diverse network regions with energy-efficient management of radio spectrum and interference. Targeted applications include smart energy metering, intelligent transpor ....Large Scale Multiple Antennas for Energy-Efficient Heterogeneous Wireless Networks. This project investigates new network architectures for future wireless broadband inspired by recent advances in large scale multiple antenna technology and heterogeneous networks. The aim is to support flexible and scalable wireless services across diverse network regions with energy-efficient management of radio spectrum and interference. Targeted applications include smart energy metering, intelligent transport systems, mobile health monitoring and green data centres. Outcomes of the research will be new wireless protocols and algorithms drawing upon the foundations of random matrix theory, game theory and large system analysis, which will offer fundamental insights into large scale multiple antennas for heterogeneous wireless networks.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100501
Funder
Australian Research Council
Funding Amount
$349,446.00
Summary
A novel radio access network for wireless communication networks. This project aims to investigate a novel network architecture that supports ultra-reliable access and coverage for future generation wireless communications. Based on recent developments in fog computing, the project aims to redefine the radio access network of wireless systems to shift from traditional, static cell-centric architecture to a more dynamic cell-free architecture. The intended outcomes of the research are an adaptive ....A novel radio access network for wireless communication networks. This project aims to investigate a novel network architecture that supports ultra-reliable access and coverage for future generation wireless communications. Based on recent developments in fog computing, the project aims to redefine the radio access network of wireless systems to shift from traditional, static cell-centric architecture to a more dynamic cell-free architecture. The intended outcomes of the research are an adaptive network architecture that dynamically forms serving clusters, secure communications protocols that decrease latency and increase communication security and energy-efficient signal processing techniques that support green communications.Read moreRead less
Model-based estimation methods for improved classification of electroencephalographic data: application to monitoring depth of anaesthesia. This project will use advanced computing methods applied to electrical brain wave recordings to track how the brain changes as a person undergoes general anaesthesia during surgery. This will lead to better anaesthesia monitoring devices and reduce the chances of people experiencing pain during surgery or IQ deficits after the anaesthesia.
Implementation of cognitive radar techniques in resource limited radar systems. Cognitive radar technology enables a multiple functional radar system to be built on a single chip, to be of high efficiency and low cost. Waveform design and scheduling play a key role in such a system. This project will investigate and design waveforms and scheduling methods for building a real cognitive radar system in the extremely high frequency band.
Experiential media signal processing on null convention logic. While we still connect with the world through our senses, these are increasingly being mediated by the electronic gadgets we carry and the complex systems we interact with. This project will result in new ways to acquire events in the real world, process and transfer information over networks to simplify and enhance our experience of the world.
Discovery Early Career Researcher Award - Grant ID: DE120102210
Funder
Australian Research Council
Funding Amount
$350,333.00
Summary
Feedback control as a tool for enhanced neuroprosthetic stimulation. The aim is to use control theory tools to find optimal stimulation parameters to use in a bionic implant. This project will lead to improvements in understanding of mechanisms underlying electrical stimulation and to improvements in medical bionics technologies.
Smart searches for continuous gravitational waves with advanced LIGO. This project aims to detect continuous gravitational waves from neutron stars, by using smart signal processing methods developed for engineering applications like mobile telephony. The first direct detection of Einstein's gravitational waves from two merging black holes by the Laser Interferometer Gravitational Wave Observatory in 2015 began a new era of human discovery. This project is expected to progress gravitational wave ....Smart searches for continuous gravitational waves with advanced LIGO. This project aims to detect continuous gravitational waves from neutron stars, by using smart signal processing methods developed for engineering applications like mobile telephony. The first direct detection of Einstein's gravitational waves from two merging black holes by the Laser Interferometer Gravitational Wave Observatory in 2015 began a new era of human discovery. This project is expected to progress gravitational wave science and Australia's role in it, and generate insights about the origin of neutron stars and the physics of bulk nuclear matter under extremes of gravity, density and magnetisation which cannot be replicated on Earth.Read moreRead less