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
Automated vision-based aircraft collision warning technologies. Australia is a sparsely populated country with a number of unique airspace features. This project will investigate novel vision-based collision warning systems that can improve safety for piloted aircraft and also help achieve integration of UASs (Uninhabited Aerial Systems) into national airspace. The benefits of UAS technologies are particularly relevant to Australia, as governments and industry struggle to cope with providing equ ....Automated vision-based aircraft collision warning technologies. Australia is a sparsely populated country with a number of unique airspace features. This project will investigate novel vision-based collision warning systems that can improve safety for piloted aircraft and also help achieve integration of UASs (Uninhabited Aerial Systems) into national airspace. The benefits of UAS technologies are particularly relevant to Australia, as governments and industry struggle to cope with providing equivalent levels of service to remote communities over vast distances (or border protection of vast regions). The population base of Australia requires that cost-effective solutions are sought to meet this end. Read moreRead less
Liquid crystal-based optical fibre hydrophone system for underwater surveillance and ocean monitoring. The aim of this project is to design, implement and optimise a new class of optical sensing system which targets underwater surveillance and ocean monitoring. This project is expected to lead to improved national security, broaden Australia's photonics knowledge base, and contribute to greater international scientific collaboration.
Optimisation-based analysis and synthesis of sparse systems in signal processing and communication. This project will make onceptual advances in the areas of signal processing and communication. A major benefit of this project will be its direct applications to digital industry - perhaps the major electrical industry of our era. The project will also aim to build a world class research activity at the University of New South Wales to focus attention on low-cost signal processing and communicatio ....Optimisation-based analysis and synthesis of sparse systems in signal processing and communication. This project will make onceptual advances in the areas of signal processing and communication. A major benefit of this project will be its direct applications to digital industry - perhaps the major electrical industry of our era. The project will also aim to build a world class research activity at the University of New South Wales to focus attention on low-cost signal processing and communication, increase capacity for contract research, enhance nternational collaboration with leading researchers in the area, and produce quality PhD graduates in the field of signal processing and communication.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
System Theoretical Aspects of Spatial Signal Processing. The aims of the project is to gain better understanding of spatial characteristics of wireless communication channels; and to apply spatial signal processing theory to design receivers for wireless systems. The expected outcomes of the projects are new system theory for spatial signal processing, a new spatial model to characterize wireless communication channels, categorize a relationship between scattering environment antenna spacing and ....System Theoretical Aspects of Spatial Signal Processing. The aims of the project is to gain better understanding of spatial characteristics of wireless communication channels; and to apply spatial signal processing theory to design receivers for wireless systems. The expected outcomes of the projects are new system theory for spatial signal processing, a new spatial model to characterize wireless communication channels, categorize a relationship between scattering environment antenna spacing and multi-element antenna system capacity, and novel use of multiple antennas to improve the performance of wireless systems. Success in this investigation could have wide applications in the development of future mobile and fixed wireless communication systems.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
Online Structural Health Monitoring (SHM) System Using Active Diagnostic Sensor Network. It is imperative to remain technological leading for Australian research community. But current lack of reliable technique in structural health monitoring in Australia is considerably impeding her competition with other developed countries in areas of forefront technology. Outcomes of the project will lead to an online structural health monitoring system incorporated with active diagnostic sensor network, re ....Online Structural Health Monitoring (SHM) System Using Active Diagnostic Sensor Network. It is imperative to remain technological leading for Australian research community. But current lack of reliable technique in structural health monitoring in Australia is considerably impeding her competition with other developed countries in areas of forefront technology. Outcomes of the project will lead to an online structural health monitoring system incorporated with active diagnostic sensor network, related software and hardware, novel signal processing technique, and artificial intelligence algorithm-based damage identification scheme. Its successful applications in various industries, e.g. aerospace, maritime and civil, are expected to bring significant improvement in operation safety and great benefit in reducing maintenance cost.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.