Visual interaction methods for clustered graphs. This project aims to improve human understanding of huge network data sets, such as those arising in social networks, biological networks, and very large software structures. The project will enable analysts to explore and interact with such data sets, leading to better understanding.
Modelling the structure of Australian wool auction prices. Australian wool auction ($3.5-4 billions per year) is an on-going process. The prices paid in this auction market are used by the Australian production and service sectors to identify the quality preferences the international retail markets and the intermediate processors. The proposed research will optimise the information that can be extracted and used by these sectors in the production and distribution of the raw wool clip. A two- ....Modelling the structure of Australian wool auction prices. Australian wool auction ($3.5-4 billions per year) is an on-going process. The prices paid in this auction market are used by the Australian production and service sectors to identify the quality preferences the international retail markets and the intermediate processors. The proposed research will optimise the information that can be extracted and used by these sectors in the production and distribution of the raw wool clip. A two-stages algorithm in tree-based regression will be developed. The project will provide a challenge environment to train a Ph.D. student in agriculture modelling and optimisation.Read moreRead less
Algebraic Methods in Design and Analysis of Stream Ciphers. The project investigates the problem of communication security in the mobile environment where both confidentiality and authenticity are of prime concern. Stream ciphers are a very natural choice in mobile environment as they provide an efficient cryptographic protection using a limited computing resources. We model stream cipher as a system of multivariate equations. In this approach, security of stream ciphers can be measured as the c ....Algebraic Methods in Design and Analysis of Stream Ciphers. The project investigates the problem of communication security in the mobile environment where both confidentiality and authenticity are of prime concern. Stream ciphers are a very natural choice in mobile environment as they provide an efficient cryptographic protection using a limited computing resources. We model stream cipher as a system of multivariate equations. In this approach, security of stream ciphers can be measured as the complexity of an algorithm that solves the appropriate system of equations. This project leads to new techniques for the design and analysis of stream ciphers.Read moreRead less
Novel Mathematical Technologies for Financial Valuation and Risk. The finance industry is a key industry sector in Australia, with a highly qualified and well-paid work force. The profitability and stability of financial institutions rests in part on their ability to accurately and rapidly value innovative financial products and to quantify risk, yet many contemporary financial products are difficult to value quickly and accurately. This project will bring innovative mathematical technologies ....Novel Mathematical Technologies for Financial Valuation and Risk. The finance industry is a key industry sector in Australia, with a highly qualified and well-paid work force. The profitability and stability of financial institutions rests in part on their ability to accurately and rapidly value innovative financial products and to quantify risk, yet many contemporary financial products are difficult to value quickly and accurately. This project will bring innovative mathematical technologies to bear on complex financial problems. It has the potential to improve both the profitability and stability of Australian financial institutions, and to enhance their role regionally and internationally.Read moreRead less
Identifying technological trajectories using machine learning algorithms. This project aims to improve our understanding of why scientific knowledge progresses in certain directions and what causes it to grow faster or slower across fields. The project will create new neural-network machine-learning algorithms to scan patent and scientific article texts (specifications and claims) for natural language concepts. The results will potentially be used by patent offices to improve their own database ....Identifying technological trajectories using machine learning algorithms. This project aims to improve our understanding of why scientific knowledge progresses in certain directions and what causes it to grow faster or slower across fields. The project will create new neural-network machine-learning algorithms to scan patent and scientific article texts (specifications and claims) for natural language concepts. The results will potentially be used by patent offices to improve their own database search, by business analytics companies to reveal new technologies and potential collaborators, and by academic economists to understand how knowledge travels and accumulates.
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Approximate algorithms and architectures for area efficient system design. This project aims to develop simpler but reliable image recognition systems that can run on low-cost, small-scale platforms, for use in driver monitoring system (DMS) applications. Cheaper reliable DMS will lead to wider availability of this technology to end users and improve safety of motor vehicles. This project will develop approximate algorithmic and circuit techniques, provide training for research students and buil ....Approximate algorithms and architectures for area efficient system design. This project aims to develop simpler but reliable image recognition systems that can run on low-cost, small-scale platforms, for use in driver monitoring system (DMS) applications. Cheaper reliable DMS will lead to wider availability of this technology to end users and improve safety of motor vehicles. This project will develop approximate algorithmic and circuit techniques, provide training for research students and build capability in the area of approximate computing. It is also expected to lead to commercial products, licences and revenue, which will enable new job creation.
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Response of Proteins to External Non-Ionising Radiation: an Experimental and Computer Modelling Investigation. The expanding use of digital technologies such as mobile phones has led to major health concerns about the effects of non-ionising pulsed radiation exposure which has been shown to produce instantaneous temperature rises undetectable by normal thermometry. The health implications of exposure are not understandable without establishing molecular mechanisms by which pulsed microwaves can ....Response of Proteins to External Non-Ionising Radiation: an Experimental and Computer Modelling Investigation. The expanding use of digital technologies such as mobile phones has led to major health concerns about the effects of non-ionising pulsed radiation exposure which has been shown to produce instantaneous temperature rises undetectable by normal thermometry. The health implications of exposure are not understandable without establishing molecular mechanisms by which pulsed microwaves can cause biological effects. We aim to establish methods for studying the molecular mechanisms of protein structural and energetic changes occurring due to non-ionising radiation. The results will help our industry partner to design specific drugs as well as formulate a scientifically based standard for microwave utilisation.Read moreRead less
Improving train flows with connected driver advice systems. The project aims to develop new train control theory to determine the efficient movement of multiple trains, and to demonstrate a practical system for coordinating trains, on busy intercity rail corridors. Railways around the world are now deploying driver advice systems developed by the research team and the partner organisation, TTG Transportation Technology. The project is designed to enable these systems to coordinate the movements ....Improving train flows with connected driver advice systems. The project aims to develop new train control theory to determine the efficient movement of multiple trains, and to demonstrate a practical system for coordinating trains, on busy intercity rail corridors. Railways around the world are now deploying driver advice systems developed by the research team and the partner organisation, TTG Transportation Technology. The project is designed to enable these systems to coordinate the movements of many trains on a congested rail network to improve timekeeping, smooth the flow of traffic, increase capacity and reduce energy use.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
Thermal Optimisation of Gigascale Solar Photovoltaics. Large-scale solar photovoltaics are critical to decarbonising the global economy. Sun Cable is developing the world’s largest solar farm in the Northern Territory, and is considering deploying the 5B MAV solar array. At this scale, temperature-induced panel efficiency losses represent a major challenge that must be overcome through thermal performance optimisation. We will build sophisticated multiscale models to simulate and understand the ....Thermal Optimisation of Gigascale Solar Photovoltaics. Large-scale solar photovoltaics are critical to decarbonising the global economy. Sun Cable is developing the world’s largest solar farm in the Northern Territory, and is considering deploying the 5B MAV solar array. At this scale, temperature-induced panel efficiency losses represent a major challenge that must be overcome through thermal performance optimisation. We will build sophisticated multiscale models to simulate and understand the multiple interacting phenomena that cause panel heating, for the first time. This project will create the tools and know-how to optimise array design and solar farm development, delivering major efficiency gains and enhancing the viability of future gigascale solar projects.Read moreRead less