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.
Dynamic Scheduling and Stochastic Control for Sensor Networks. Sensor networks are rapidly becoming important in applications from environmental monitoring, navigation to border surveillance. However, due to bandwidth constraints, even very simple networks have proven to be very complex to properly control. It is now necessary to efficiently allocate the 'limited available bandwidth' to sensors in order to share the most valuable data over the network. Therefore, this project proposes new techn ....Dynamic Scheduling and Stochastic Control for Sensor Networks. Sensor networks are rapidly becoming important in applications from environmental monitoring, navigation to border surveillance. However, due to bandwidth constraints, even very simple networks have proven to be very complex to properly control. It is now necessary to efficiently allocate the 'limited available bandwidth' to sensors in order to share the most valuable data over the network. Therefore, this project proposes new techniques using concepts of dynamic sensor scheduling and stochastic control to provide computationally feasible and near optimal solutions to the limited and varying bandwidth problem. This work will greatly enhance the operational performance of distributed sensor networks.Read moreRead less
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
Parameter estimation for genetic time-series data: Theory and methods. This project aims to develop a novel computational framework for solving parameter estimation problems in evolutionary modelling by leveraging genetic time-series data measured by Next-Generation Sequencing technologies. It will foster international collaboration, cutting across disciplines. By introducing new techniques from signal processing and tools from random matrix theory commonly employed for mobile wireless communica ....Parameter estimation for genetic time-series data: Theory and methods. This project aims to develop a novel computational framework for solving parameter estimation problems in evolutionary modelling by leveraging genetic time-series data measured by Next-Generation Sequencing technologies. It will foster international collaboration, cutting across disciplines. By introducing new techniques from signal processing and tools from random matrix theory commonly employed for mobile wireless communications, it seeks to design scalable inference methods for resolving mutational fitness effects from genetic time-series measurements of complex evolving populations. This would enable new understanding of complex adaptive systems, such as pathogen evolution, host-immune dynamics, and acquisition of drug resistance. 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
Towards an Information Theory of Radar. Radar is a key sensing technology for the defence of Australia. It is also used in several civilian applications. Recent advances in engineering and science have led to significantly increased inherent capabilities for radar hardware. Nonetheless, radars in service and planned are unable to counter many current threats. To a large extent these new capabilities have yet to be fully exploited, and in large part this is because of the lack of an information ....Towards an Information Theory of Radar. Radar is a key sensing technology for the defence of Australia. It is also used in several civilian applications. Recent advances in engineering and science have led to significantly increased inherent capabilities for radar hardware. Nonetheless, radars in service and planned are unable to counter many current threats. To a large extent these new capabilities have yet to be fully exploited, and in large part this is because of the lack of an information theory for radar that corresponds to the highly successful theory of this kind for telecommunications. Our work, though pitched at fundamental ideas in the theory of radar, will lead to the production of improved radar capability that will permit improved threat detection and tracking.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.
Blind Signal Separation from Unidentifiable Systems. This project will contribute to the designated national research priority goal on frontier Information and Communications Technology. The outcomes of the project will advance the theory of signal processing and enable performance improvement of a wide range of hi-tech applications. This project will enhance Australia's research reputation and competitiveness, promote the understanding and applications of advanced signal processing techniques i ....Blind Signal Separation from Unidentifiable Systems. This project will contribute to the designated national research priority goal on frontier Information and Communications Technology. The outcomes of the project will advance the theory of signal processing and enable performance improvement of a wide range of hi-tech applications. This project will enhance Australia's research reputation and competitiveness, promote the understanding and applications of advanced signal processing techniques in local industries, and provide excellent training opportunity for PhD and Honours students.Read moreRead less
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.