Sequencing and assembling microbial community metagenomes in real-time. This project aims to assemble metagenomes directly from environmental samples using nanopore sequencing. Short-read approaches to metagenomics cannot assemble mixed genomes from an environmental sample, so focus on describing which species and genes are present. Long-read nanopore sequencing enables the assembly of full genomes of multiple species in a sample. Assembling complete genomes in important resources such as water ....Sequencing and assembling microbial community metagenomes in real-time. This project aims to assemble metagenomes directly from environmental samples using nanopore sequencing. Short-read approaches to metagenomics cannot assemble mixed genomes from an environmental sample, so focus on describing which species and genes are present. Long-read nanopore sequencing enables the assembly of full genomes of multiple species in a sample. Assembling complete genomes in important resources such as water and soil should lead to deeper understanding of the dynamics, variation and transfer of genetic material within these resources’ microbial communities, strategies to manage microbial diversity, and improved productivity and long-term sustainability for these resources.Read moreRead less
Unlocking the potential of poly(ionic liquids) for electrochemical sensing. This project aims to create new science that will enable the development of low-cost, miniaturised electrochemical sensors based on poly-ionic liquids. The chemistry of the materials will be tuned to selectively detect hazardous pollutants to enable trace concentration detection at analytically relevant levels. Fundamental behaviour of gases and solid contaminants dissolved in poly-ionic liquid/ionic liquid membranes wil ....Unlocking the potential of poly(ionic liquids) for electrochemical sensing. This project aims to create new science that will enable the development of low-cost, miniaturised electrochemical sensors based on poly-ionic liquids. The chemistry of the materials will be tuned to selectively detect hazardous pollutants to enable trace concentration detection at analytically relevant levels. Fundamental behaviour of gases and solid contaminants dissolved in poly-ionic liquid/ionic liquid membranes will be uncovered, and their performance for sensing in real environments will be examined. It is expected that these advances will transform detection methods by taking sensing out of the lab and in to the hands of the everyday person, giving rapid and accurate knowledge about the concentration of hazards in the environment.Read moreRead less
New Bayesian methodology for understanding complex systems using hidden Markov models and expert opinion, environmental, robotics and genomics applications. This project aims to merge four areas of intense international interest in describing complex systems: hidden Markov models and mixtures, semi-parametric and nonparametric approaches, true combination of expert opinion with data, and new Bayesian computational methods based on perfect sampling and particle sampling. The project will signific ....New Bayesian methodology for understanding complex systems using hidden Markov models and expert opinion, environmental, robotics and genomics applications. This project aims to merge four areas of intense international interest in describing complex systems: hidden Markov models and mixtures, semi-parametric and nonparametric approaches, true combination of expert opinion with data, and new Bayesian computational methods based on perfect sampling and particle sampling. The project will significantly contribute to statistical methodology and its ability to inform about real-world problems. A strong focus on applications to genomics, robotics and environmental modelling will bring immediate research and monetary benefit for industry. Expected outcomes include enhanced cross-disciplinary and international linkages, publications, industry-funded projects and highly trained graduates.Read moreRead less
Derivation of Emissions Models for Commercial Vehicles. This research project will develop emissions models for commercial vehicles that are capable of modelling changes in driver behaviour. Second by second emissions data from certification tests will be disaggregated into their component phases of acceleration, cruise, deceleration and idle. The emissions characteristics of these phases will be established and analysed to produce empirical models of emissions per unit time versus mode of opera ....Derivation of Emissions Models for Commercial Vehicles. This research project will develop emissions models for commercial vehicles that are capable of modelling changes in driver behaviour. Second by second emissions data from certification tests will be disaggregated into their component phases of acceleration, cruise, deceleration and idle. The emissions characteristics of these phases will be established and analysed to produce empirical models of emissions per unit time versus mode of operation. These models will then be able to describe the changes in emission characteristics under different commercial vehicle operating modes for a range of commercial vehicle types.Read moreRead less
Derivation of Emissions Models from Vehicle Certification Tests. This research project will aim to prove the concept that emissions models capable of modelling changes in driver behaviour can be obtained from data that has been used as part of the vehicles emission certification process. Second by second emissions data from certification tests will be disaggregated into their component phases of acceleration, cruise, deceleration and idle. The emissions characteristics of these phases will be es ....Derivation of Emissions Models from Vehicle Certification Tests. This research project will aim to prove the concept that emissions models capable of modelling changes in driver behaviour can be obtained from data that has been used as part of the vehicles emission certification process. Second by second emissions data from certification tests will be disaggregated into their component phases of acceleration, cruise, deceleration and idle. The emissions characteristics of these phases will be established and analysed to produce empirical models of emissions per unit time versus mode of operation. These models will then be able to describe the changes in emission characteristics under different vehicle operating modes modes for a range of vehicle types.Read moreRead less
Tackling Atmospheric Chemistry Grand Challenges in the Southern Hemisphere. The project aims to provide a southern hemisphere perspective on current challenges in atmospheric chemistry: air quality, oxidation capacity, stratospheric change, and chemistry–climate interactions. Australia’s geographic position in the relatively clean southern hemisphere allows a unique opportunity to study environments with limited human influence, an opportunity that has largely been lost in the more populous nort ....Tackling Atmospheric Chemistry Grand Challenges in the Southern Hemisphere. The project aims to provide a southern hemisphere perspective on current challenges in atmospheric chemistry: air quality, oxidation capacity, stratospheric change, and chemistry–climate interactions. Australia’s geographic position in the relatively clean southern hemisphere allows a unique opportunity to study environments with limited human influence, an opportunity that has largely been lost in the more populous northern hemisphere. The intended outcomes of the project include validated ground-based and satellite datasets for monitoring Australia’s air quality, improved atmospheric models for predicting future atmospheric change, and a deeper understanding of the processes driving atmospheric composition worldwide.Read moreRead less
Investigating the coupled dependencies of soot in turbulent flames by advanced laser diagnostics and modelling. The community will benefit from the project by reduced air pollution and improved health and safety. Soot is a major air pollutant, adversely effecting public health, while also contributing directly to global warming. It also dominates heat transfer and influences the emissions of NOx and CO2. The project will significantly advance detailed understanding and modelling capability of fl ....Investigating the coupled dependencies of soot in turbulent flames by advanced laser diagnostics and modelling. The community will benefit from the project by reduced air pollution and improved health and safety. Soot is a major air pollutant, adversely effecting public health, while also contributing directly to global warming. It also dominates heat transfer and influences the emissions of NOx and CO2. The project will significantly advance detailed understanding and modelling capability of flames containing soot. Hence it will provide significantly improved capability to optimise these flames in applications spanning gas turbines, power generation, minerals processing and fires.Read moreRead less
Nanometrology of laser-trapped airborne particles. This project aims to develop a new concept of touch-free measuring of physical characteristics of nanoparticles using specially designed optical vortex beams. The new concept will be of direct importance in developing new nanotechnologies demanding ever-increasing purity of every element in the industrial environment and production processes.
Detailed understanding of the behaviour of soot in, and emission from, turbulent flames and fires. While combustion processes involving soot have been widely employed for many years, their great complexity puts them beyond present capacity to understand or model reliably. Within a flame, soot plays an important role in radiant heat transfer, and hence in energy efficiency. Beyond a flame, soot can either be emitted as an unwanted air pollutant or as a desirable source of nano-particles, dependin ....Detailed understanding of the behaviour of soot in, and emission from, turbulent flames and fires. While combustion processes involving soot have been widely employed for many years, their great complexity puts them beyond present capacity to understand or model reliably. Within a flame, soot plays an important role in radiant heat transfer, and hence in energy efficiency. Beyond a flame, soot can either be emitted as an unwanted air pollutant or as a desirable source of nano-particles, depending on the application. The benefits to society from improved understanding and predictive capability include reduced air pollution, improved health and safety, increased efficiency in the utilisation of both fossil and alternative fuels, the support of the rapidly growing sector employing carbon nano-particles and increased fire safety. Read moreRead less
Ecological regime shifts for re-engineering water pollution management. This project aims to validate a framework for the management of water pollution. As the world population increases, maintaining robust, cost-effective and environmentally safe water resources is important. This project will investigate environmental controls of toxin occurrence in urban and wastewater systems. The project is expected to mitigate deadly cyanotoxins, which threaten the safety of water resources, while a numeri ....Ecological regime shifts for re-engineering water pollution management. This project aims to validate a framework for the management of water pollution. As the world population increases, maintaining robust, cost-effective and environmentally safe water resources is important. This project will investigate environmental controls of toxin occurrence in urban and wastewater systems. The project is expected to mitigate deadly cyanotoxins, which threaten the safety of water resources, while a numerical ecological model will tackle water pollution issues in natural and engineered water systems.Read moreRead less