Diagnosis of depressive disorder and risk for depression in adolescents using acoustic speech analysis. Depression is the most common mental health problem in young people in Australia. Early diagnosis can minimise the disturbance of typical functioning and development of social and academic skills. Current assessment techniques consume significant time in urgent clinical situations, where an immediate assessment of risk is required. An automatic diagnostic system will provide an important objec ....Diagnosis of depressive disorder and risk for depression in adolescents using acoustic speech analysis. Depression is the most common mental health problem in young people in Australia. Early diagnosis can minimise the disturbance of typical functioning and development of social and academic skills. Current assessment techniques consume significant time in urgent clinical situations, where an immediate assessment of risk is required. An automatic diagnostic system will provide an important objective indicator giving an immediate quantitative assessment of the mental state of a patient. The quantitative measure given by the diagnostic system proposed will give physicians and therapists an improved metric by which they can gauge the effectiveness of various treatments in reducing depression and suicidality. Read moreRead less
Trustworthy Sensor Networks: Theory and Implementation. The fundamental importance of this project is that we are developing algorithms for wireless sensor networks (WSNs) that provide accurate and trustworthy data to Australian researchers and users, so that they have confidence in the analysis of their data. The algorithms developed in this proposal will become essential for any large scale WSN. The research significantly leverages the resources of our international partners who complement our ....Trustworthy Sensor Networks: Theory and Implementation. The fundamental importance of this project is that we are developing algorithms for wireless sensor networks (WSNs) that provide accurate and trustworthy data to Australian researchers and users, so that they have confidence in the analysis of their data. The algorithms developed in this proposal will become essential for any large scale WSN. The research significantly leverages the resources of our international partners who complement our work with several million dollars of investment. The result will put Australia on the international stage as a significant contributor to WSN technologies. By training PhD students, the project will also enrich local expertise in the technologies.Read moreRead less
Ultrahigh-speed optical transport for sustaining the internet growth. Our society has entered an information era centred around the Internet. This project aims to study novel transport technologies to construct optical backbone networks supporting the Internet traffic. The project will keep Australia at the leading edge of exciting Terabit technologies as well as create commercial opportunities in Australia.
Few-mode transmission: harnessing the capacity of optical fibres. Optical fibres are widely deployed for carrying internet traffic. This project aims to study breakthrough technologies to dramatically increase the capacity of optical fibres. The project will help maintain Australia at the leading edge of the information age as well as providing exciting opportunities for training research associates and students.
The road to Terabit Era: the optical transport perspective. The Internet has been playing an increasingly critical role in today's society. The project aims to look into novel approaches to construct the physical layer of optical internet networks. The project will keep Australia in the leading edge of exciting Terabit transport technologies as well as create many commercial opportunities in Australia.
Optical MIMO in Stokes Space: Bridging Coherent and Non-Coherent Detection. Coherent detection aided by high-speed electronic digital signal processors has transformed optical communications within the last decade. However, the high complexity of coherent detection has constrained its application to long-haul transmission. This project aims to propose a novel modulation format based on optical multiple-input multiple-output in Stokes space that can bridge the gap between coherent and non-coheren ....Optical MIMO in Stokes Space: Bridging Coherent and Non-Coherent Detection. Coherent detection aided by high-speed electronic digital signal processors has transformed optical communications within the last decade. However, the high complexity of coherent detection has constrained its application to long-haul transmission. This project aims to propose a novel modulation format based on optical multiple-input multiple-output in Stokes space that can bridge the gap between coherent and non-coherent communication. The proposed research includes design, simulation, and experimental verification of the proposed Stokes vector detection. The successful implementation of the project is expected to provide enabling technologies to future high-speed transport for interconnecting data centres that underpin fast-growing cloud computing.Read moreRead less
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
Semantic Vectorisation: From Bitmaps to Intelligent Representations. The objective of this innovative project is to provide a solution to the open question of representing natural images by semantically rich vector graphics. The challenges are to identify key visual and temporal elements for images and videos, and efficiently decompose the visual data into semantic vector representations that are faithful to original data, compact and editable. The project aims to investigate new bitmap-to-vecto ....Semantic Vectorisation: From Bitmaps to Intelligent Representations. The objective of this innovative project is to provide a solution to the open question of representing natural images by semantically rich vector graphics. The challenges are to identify key visual and temporal elements for images and videos, and efficiently decompose the visual data into semantic vector representations that are faithful to original data, compact and editable. The project aims to investigate new bitmap-to-vector conversion methods. It is expected to develop a framework where semantic labels and hyperlinks can be embedded in visual data automatically. It hopes to pioneer the creation of a web of images where the links are on image/video regions. New image simplification, stylisation, and non-photorealistic rendering methods are expected to be provided.Read moreRead less
Scalable Robust Video Surveillance over Constrained Networks. Real-time monitoring of large numbers of people is becoming increasingly important for applications such as efficient service delivery and security against both common crime and terrorism. The use of human operators for such tasks is infeasible due to the large amount of data collected. Existing autonomous video surveillance systems are prone to high numbers of false alarms and often require expensive hardware. This proposal seeks ....Scalable Robust Video Surveillance over Constrained Networks. Real-time monitoring of large numbers of people is becoming increasingly important for applications such as efficient service delivery and security against both common crime and terrorism. The use of human operators for such tasks is infeasible due to the large amount of data collected. Existing autonomous video surveillance systems are prone to high numbers of false alarms and often require expensive hardware. This proposal seeks to address both difficulties by using rigorous statistical signal processing methods to optimally fuse information from a network of low-cost cameras.Read moreRead less
Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinicia ....Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinician to reduce fetal deaths and enhance the chances of good outcomes with resultant savings in social and financial costs to the community. The development of such equipment would spawn future research into intervention treatments and contribute to Australia's position as a world leader in computerised health monitoring systems.Read moreRead less