Safeguarding Future Wireless Communications with Physical Layer Security. Wireless communication is vulnerable to eavesdropping attacks since the transmitted signal enters an open wireless medium allowing anyone to overhear it. This project tackles the challenging problem of secure wireless transmissions through the advancement of a new security technology termed physical layer security. Theoretical frameworks are expected to be developed to understand how this new technology extracts the intri ....Safeguarding Future Wireless Communications with Physical Layer Security. Wireless communication is vulnerable to eavesdropping attacks since the transmitted signal enters an open wireless medium allowing anyone to overhear it. This project tackles the challenging problem of secure wireless transmissions through the advancement of a new security technology termed physical layer security. Theoretical frameworks are expected to be developed to understand how this new technology extracts the intrinsic security from the wireless medium to protect the confidentiality of information transmission. The research outcome is expected to provide for innovative solutions to safeguard Australia's future commercial, government and military wireless networks, and to give pivotal insights into the impact of this new technology on national security.Read moreRead less
Energy efficient sensing, computing and communication. This research will study trade-offs in resource use: bandwidth, power, and computational capacity of systems of sensors such as cameras, radars, and distributed sensor networks based on a statistical mechanical theory of information processing, leading to practical algorithms to optimize resource use in the design of such systems.
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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100160
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Distributed ultra-fast optical clocks for terabit/s communications. The project aims to enable experiments with full spectrum occupation for transmission over field-deployed optical fibre. Future optical communication systems will have to use the full available spectral bandwidth and advanced multiplexing and modulation to achieve ultimate data capacity over a fibre link. To realistically test such links, experiments must be performed over "real-world" fibre links. By linking three telecoms rese ....Distributed ultra-fast optical clocks for terabit/s communications. The project aims to enable experiments with full spectrum occupation for transmission over field-deployed optical fibre. Future optical communication systems will have to use the full available spectral bandwidth and advanced multiplexing and modulation to achieve ultimate data capacity over a fibre link. To realistically test such links, experiments must be performed over "real-world" fibre links. By linking three telecoms research laboratories, the project will create a close collaboration optical network that enables this research. Anticipated outcomes are the opportunity to conduct research over field-deployed fibre links and to prototype and test communication technology over real-world links, creating a simplified path to commercialisation.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
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.
A stochastic geometric framework for Bayesian sensor array processing. This project develops a mathematical framework, and a new generation of techniques, for sensor array processing to address real-world problems with uncertainty in array parameters and number of signals. The outcomes will enhance the capability of sensors in many application areas including, radar, sonar, astronomy and wireless communications.
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
Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed ....Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed methodology enables quantification of confidence in the predictions. This will provide ship owners, directly to their vessels and/or at the fleet management centres, information such as weather reports, reliable collision/no-collision warnings and avoidance strategies, on-the-fly. Read moreRead less
Joint modelling and recognition of linguistic and paralinguistic speech information. A new modelling framework will be developed exploiting interdependence between linguistic and paralinguistic cues to improve automatic recognition of emotion-related information. Applications in the high-tech industry include automatic routing of angry telephone customers or pre-suicidal crisis centre callers to specialist operators/clinicians.