Statistical problems involving measurement errors and sparsity. The project tackles research in complex problems where the information contained in the data is sparse and corrupted by measurement errors. With the aid of modern computing methods, the project will develop new, sophisticated techniques that have applications in areas such as genomics, national security, environmental pollution, public health and nutrition.
Optimising disease surveillance to support decision-making. COVID-19 has demonstrated the critical role of epidemic data and analytics in guiding government response to pandemic threats, reducing disease and saving lives. The demand for epidemic analytics for response to threats of national significance will only grow. The goals of this project are to 1) determine the combination(s) of surveillance methods that provide the most useful data for epidemic analysis and 2) translate these findings in ....Optimising disease surveillance to support decision-making. COVID-19 has demonstrated the critical role of epidemic data and analytics in guiding government response to pandemic threats, reducing disease and saving lives. The demand for epidemic analytics for response to threats of national significance will only grow. The goals of this project are to 1) determine the combination(s) of surveillance methods that provide the most useful data for epidemic analysis and 2) translate these findings into the blueprint for a next-generation infectious disease surveillance system for Australia. We will use a simulation-evaluation approach, coupling methods from infectious disease modelling with those from information theory optimal design. Outcomes will enable more tailored and effective pandemic response.Read moreRead less
Transformational diagnostics. Australia has established world-leading capabilities in optical fibres and surface science that, when brought together, have the potential to transform applications that require non-invasive, real-time and/or portable biological detection tools. We propose a novel and ambitious suite of projects that bring together these capabilities with experts in reproductive health, forensics and explosives to solve pressing problems in each of these areas that have the promise ....Transformational diagnostics. Australia has established world-leading capabilities in optical fibres and surface science that, when brought together, have the potential to transform applications that require non-invasive, real-time and/or portable biological detection tools. We propose a novel and ambitious suite of projects that bring together these capabilities with experts in reproductive health, forensics and explosives to solve pressing problems in each of these areas that have the promise to develop into new industries for Australia as well as to explore rich science opportunities at the boundaries of these disciplines.Read moreRead less
Early-Stage Medical Diagnostics by Plasmon-Mediated Gas Sensing. This project will investigate the use plasmonic absorption of light in metal nanostructures to activate the selective oxidation/reduction of a gas molecule on a semiconductor nanoparticle. This concept will be used with the aim of developing a sensing technique capable of measuring ultra-low concentrations (ppb) of breath markers for lung cancer detection. It is expected that porous sensing films of semiconductor and metal nanopart ....Early-Stage Medical Diagnostics by Plasmon-Mediated Gas Sensing. This project will investigate the use plasmonic absorption of light in metal nanostructures to activate the selective oxidation/reduction of a gas molecule on a semiconductor nanoparticle. This concept will be used with the aim of developing a sensing technique capable of measuring ultra-low concentrations (ppb) of breath markers for lung cancer detection. It is expected that porous sensing films of semiconductor and metal nanoparticles with well-defined light absorption properties will be fabricated. Superior selectivity will be achieved by matching the wavelength of the absorbed light with the required activation energy for oxidation/reduction. Successful outcomes will enable multi-analyte fingerprint identification by on-chip devices with applications ranging from portable medical diagnostics to national security.Read moreRead less
Brighter than a synchrotron mid-infrared sources for spectroscopy & sensing. This project intends to develop mid-infrared spectroscopy as a powerful diagnostic tool. Mid-infrared spectroscopy allows a light beam to determine the chemical composition of objects or gaseous samples. It has wide applicability — in fields such as medicine, agriculture, the environment, national security and industrial process control — but its use has been hampered by the lack of bright, low-cost sources and integrat ....Brighter than a synchrotron mid-infrared sources for spectroscopy & sensing. This project intends to develop mid-infrared spectroscopy as a powerful diagnostic tool. Mid-infrared spectroscopy allows a light beam to determine the chemical composition of objects or gaseous samples. It has wide applicability — in fields such as medicine, agriculture, the environment, national security and industrial process control — but its use has been hampered by the lack of bright, low-cost sources and integrated devices. This project aims to implement new Australian-made sources that exceed the brightness of even synchrotrons at modest prices. It also aims to demonstrate a single chip integrated version of such a source as the first step towards deployment of mid-infrared technology.Read moreRead less
Machine learning in adversarial environments. Machine learning underpins the technologies driving the economies of both Silicon Valley and Wall Street, from web search and ad placement, to stock predictions and efforts in fighting cybercrime. This project aims to answer the question: How can machines learn from data when contributors act maliciously for personal gain?