Industrial Transformation Training Centres - Grant ID: IC210100056
Funder
Australian Research Council
Funding Amount
$3,975,864.00
Summary
ARC Training Centre for Next-Gen Technologies in Biomedical Analysis . The Centre for Next-Gen Technologies in Biomedical Analysis will deliver workforce trained in the development of transformative technologies that will rapidly expand the Australian pharmaceutical, diagnostic and defence sector. The university-industry partnership will increase Australia’s manufacturing capability by fast tracking screening, by integrating 3D printing, advanced sensing, big data analytics, machine learning an ....ARC Training Centre for Next-Gen Technologies in Biomedical Analysis . The Centre for Next-Gen Technologies in Biomedical Analysis will deliver workforce trained in the development of transformative technologies that will rapidly expand the Australian pharmaceutical, diagnostic and defence sector. The university-industry partnership will increase Australia’s manufacturing capability by fast tracking screening, by integrating 3D printing, advanced sensing, big data analytics, machine learning and artificial intelligence for the delivery of optimal solutions in diagnosis, treatment and wellbeing. The centre will deliver training in Industry 4.0 skills which will boost early-stage scale-up and accelerate the sector’s supply chain, which is pivotal for the Australian industries to maintain a competitive edge. Read moreRead less
Illuminating hidden processes in emissive lanthanoid complexes. This project aims to understand the antenna effect used to sensitise lanthanoid luminescence. Despite their use in modern high-tech applications, from optical fibre amplifiers (telecommunications) to luminescent probes and sensors (biological imaging), understanding is largely based on speculation or generalised 'rules-of-thumb', severely limiting progress in the field. This project will research these processes, using chemical synt ....Illuminating hidden processes in emissive lanthanoid complexes. This project aims to understand the antenna effect used to sensitise lanthanoid luminescence. Despite their use in modern high-tech applications, from optical fibre amplifiers (telecommunications) to luminescent probes and sensors (biological imaging), understanding is largely based on speculation or generalised 'rules-of-thumb', severely limiting progress in the field. This project will research these processes, using chemical synthesis, theory and spectroscopic techniques. This is expected to lead to new emissive lanthanoid-based compounds using 'a priori' approaches, with better performance than current gold standards and references. Intellectual property created will lead to new commercial products, and to creation of new Australian based spin-off/start-up companies.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160101313
Funder
Australian Research Council
Funding Amount
$383,536.00
Summary
New chromatography-electrophysiology methods for semiochemical discovery. The aim of this research is to develop new tools for discovering natural products that mediate insect-insect and plant-insect communication. Knowledge of such semiochemicals is critical for many applications in conservation biology, agriculture, and horticulture. Many of these compounds are difficult to identify with current chemical and electrophysiological methods. The goal is to develop new technology combining state-of ....New chromatography-electrophysiology methods for semiochemical discovery. The aim of this research is to develop new tools for discovering natural products that mediate insect-insect and plant-insect communication. Knowledge of such semiochemicals is critical for many applications in conservation biology, agriculture, and horticulture. Many of these compounds are difficult to identify with current chemical and electrophysiological methods. The goal is to develop new technology combining state-of-the-art chemical separation techniques and electroantennography to enable detection and identification of a broad range of chemicals of biological importance. The intended outcome is to apply this technology to pollination systems of plants of conservation and evolutionary significance, and of commercial importance in terms of insect control and pollination.Read moreRead less
Modelling stock market liquidity in Australia and the Asia Pacific Region. This project will develop new methods of assessing stock market liquidity in Australia and the Asia-Pacific region. These methods will use high frequency transactions-based data provided by the industry partner, SIRCA. The data will be the basis of smart information real time algorithms for measuring market liquidity. They will incorporate generalizations and extensions of recent developments in time series econometrics, ....Modelling stock market liquidity in Australia and the Asia Pacific Region. This project will develop new methods of assessing stock market liquidity in Australia and the Asia-Pacific region. These methods will use high frequency transactions-based data provided by the industry partner, SIRCA. The data will be the basis of smart information real time algorithms for measuring market liquidity. They will incorporate generalizations and extensions of recent developments in time series econometrics, and will be calibrated and evaluated statistically. The novel methods will be crucial to market participants and to regulators, who will be able to apply them to assess market depth and liquidity, and reduce trading costs substantially.Read moreRead less
Threshold models in micro-econometrics with applications to empirical models of health. The aim of this project is to develop and apply new statistical approaches to endogenously identify non-linear relationships between explanatory variable(s) and the response variable in non-linear econometric models and to illustrate these with applications important to empirical health economics. Literature proliferates in linear models with non-linear effects, but in health economics non-linear models domin ....Threshold models in micro-econometrics with applications to empirical models of health. The aim of this project is to develop and apply new statistical approaches to endogenously identify non-linear relationships between explanatory variable(s) and the response variable in non-linear econometric models and to illustrate these with applications important to empirical health economics. Literature proliferates in linear models with non-linear effects, but in health economics non-linear models dominate. This project will generalise these techniques to allow for various forms of the threshold variable(s), including categorical and continuous, endogenous and exogenous, and those measured with error.Read moreRead less
New technology for designing advanced surface textures. This project aims to develop new methods for the characterisation of advanced textures to aid the manufacturing industry. There is an increasing demand for surfaces with various texture patterns manufactured by modern industry. Thus, novel texture characterisation methods are needed. New methods will allow for optimisation of surface textures for example for improved energy efficiency, bone growth in artificial implants, and others.
Entropic Analysis of Financial Risk and Uncertainty. The recent financial crisis has shown that the financial markets are not as stable as expected, and are at risk from a lack of knowledge about new financial products and their risks. This research provides a framework to better measure and forecast financial risks by applying a set of techniques known collectively as entropic analysis as a novel way to measure the amount of information that can be extracted from historical data. The research w ....Entropic Analysis of Financial Risk and Uncertainty. The recent financial crisis has shown that the financial markets are not as stable as expected, and are at risk from a lack of knowledge about new financial products and their risks. This research provides a framework to better measure and forecast financial risks by applying a set of techniques known collectively as entropic analysis as a novel way to measure the amount of information that can be extracted from historical data. The research will facilitate the design of policies and regulations by regulatory authorities that need to evaluate new financial products, their associated risks and their impacts on the financial markets.Read moreRead less
Modelling health: Reporting behaviour and misclassification using survey data. Empirical models based on large scale survey data sets are used by health economists to inform policymakers. However, in the case of sensitive topics, a potential for survey misreporting may lead to inaccurate estimates of aberrant behaviours. To date, little work has been done analysing the extent and consequences of inaccurate reporting, especially within health economics. By addressing areas where potential for mis ....Modelling health: Reporting behaviour and misclassification using survey data. Empirical models based on large scale survey data sets are used by health economists to inform policymakers. However, in the case of sensitive topics, a potential for survey misreporting may lead to inaccurate estimates of aberrant behaviours. To date, little work has been done analysing the extent and consequences of inaccurate reporting, especially within health economics. By addressing areas where potential for misinformation is high, the overall quality of results will be enhanced. This research will be submitted to highly ranked health economics and econometrics journals to be made available to relevant policymakers intent on ensuring a healthy society.Read moreRead less
Stochastic Index Numbers and Their Application in Accounting, Economics and Finance. Index numbers of prices, such as the Consumer Price Index and the All Ordinaries Index, are among the most important economic statistics for the whole economy. But despite their importance, currently constructed price indexes do not use all the information available in the underlying price data, namely the dispersion among the individual prices. This project will develop and apply a methodology for a new approa ....Stochastic Index Numbers and Their Application in Accounting, Economics and Finance. Index numbers of prices, such as the Consumer Price Index and the All Ordinaries Index, are among the most important economic statistics for the whole economy. But despite their importance, currently constructed price indexes do not use all the information available in the underlying price data, namely the dispersion among the individual prices. This project will develop and apply a methodology for a new approach to index numbers that incorporates this information and leads to tractable ways of estimating the whole distribution of the index value, rather than just one number. The practical usefulness of this mthodology will be demonstrated with applications in accounting (sustainable earnings), economics (real exchange rates) and finance (share prices).Read moreRead less