Discovery Early Career Researcher Award - Grant ID: DE220100379
Funder
Australian Research Council
Funding Amount
$420,582.00
Summary
Missing link in the chain: Gateway to the Satellite-Internet Constellations. This project aims to develop affordable and compact, reconfigurable antenna systems for satellite-terminals. With unprecedented performance, the wide bandwidth of operation, and low cost of production, the resulting antenna systems will act as the ‘enabling’ chip in providing internet connectivity to millions of people, who are unconnected or poorly connected at present. High-speed internet is not a reality outside dens ....Missing link in the chain: Gateway to the Satellite-Internet Constellations. This project aims to develop affordable and compact, reconfigurable antenna systems for satellite-terminals. With unprecedented performance, the wide bandwidth of operation, and low cost of production, the resulting antenna systems will act as the ‘enabling’ chip in providing internet connectivity to millions of people, who are unconnected or poorly connected at present. High-speed internet is not a reality outside densely populated areas, even today. The outcomes will close the digital divide, increase Australia’s economic and intellectual standing internationally, generate socio-economic benefits by empowering regional populations, increase the economic viability and remote-jobs outside metropolitan cities, and develop tourism.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180101595
Funder
Australian Research Council
Funding Amount
$364,446.00
Summary
Knowledge-embedded motion planning for smart construction machinery. This project aims to develop a novel sensory feedback-based planning approach for construction machinery to optimise site execution effectiveness. The project will investigate current motion planning approaches which are feasible as planning tools but fail to be implemented at construction sites due to uncertainties of actual operations. The expected outcome will be a practical planning approach validated through field tests an ....Knowledge-embedded motion planning for smart construction machinery. This project aims to develop a novel sensory feedback-based planning approach for construction machinery to optimise site execution effectiveness. The project will investigate current motion planning approaches which are feasible as planning tools but fail to be implemented at construction sites due to uncertainties of actual operations. The expected outcome will be a practical planning approach validated through field tests and help solve feasibility problems in handling deviations between plans and on-site executions.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101896
Funder
Australian Research Council
Funding Amount
$436,875.00
Summary
Interface engineering of 2D materials for advanced battery application. The fast-growing energy storage market demands new devices with both high energy and power density. This project aims to understand and then engineering electrode-electrolyte interfaces using novel two-dimensional (2D) materials to achieve accelerated ion transport and enhanced surface redox reactions. Advanced in-situ and ex-situ characterization tools, including X-ray scattering, neutron scattering, and terahertz time-doma ....Interface engineering of 2D materials for advanced battery application. The fast-growing energy storage market demands new devices with both high energy and power density. This project aims to understand and then engineering electrode-electrolyte interfaces using novel two-dimensional (2D) materials to achieve accelerated ion transport and enhanced surface redox reactions. Advanced in-situ and ex-situ characterization tools, including X-ray scattering, neutron scattering, and terahertz time-domain spectroscopy, will be employed to study energy storage mechanisms. Novel solid-state batteries will be demonstrated based on well-designed electrodes using 2D materials. This project will boost the standing of Australia in the global competition of developing more efficient energy storage devices. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100999
Funder
Australian Research Council
Funding Amount
$295,020.00
Summary
Applying forward-backward stochastic differential equations to optimisation. This project intends to develop new ways to solve optimisation problems that are currently difficult to solve because of their complexity and size. In particular, forward–backward stochastic differential equations (FBSDEs) are a new technique that is showing ways to solve problems for which there is yet to be a solution. This project's focus will be on problems that cannot use existing software because the decision-maki ....Applying forward-backward stochastic differential equations to optimisation. This project intends to develop new ways to solve optimisation problems that are currently difficult to solve because of their complexity and size. In particular, forward–backward stochastic differential equations (FBSDEs) are a new technique that is showing ways to solve problems for which there is yet to be a solution. This project's focus will be on problems that cannot use existing software because the decision-making processes require intensive consideration of all possible outcomes in the modelled environment. In comparison to previous optimisation methods, the FBSDE approach is easier to work with and much more informative. The project's main potential applications are multiplayer games with mean-field interaction and financial markets with partial information.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL160100170
Funder
Australian Research Council
Funding Amount
$2,887,531.00
Summary
Scaling in biology: size control at the cell, organelle and organism level. This project aims to decipher the universal mechanisms that coordinate growth with division and thereby dictate the size of the cell. It would investigate this question from the triangulating perspective of evolution using yeast and animal models. It plans to interrogate the complex sub-networks that govern cell size using novel genome-scale reagent sets for systematic genetics and other approaches. It would integrate th ....Scaling in biology: size control at the cell, organelle and organism level. This project aims to decipher the universal mechanisms that coordinate growth with division and thereby dictate the size of the cell. It would investigate this question from the triangulating perspective of evolution using yeast and animal models. It plans to interrogate the complex sub-networks that govern cell size using novel genome-scale reagent sets for systematic genetics and other approaches. It would integrate this data in predictive mathematical models of size control that illuminate how the cell processes size-related information, and how size mechanisms evolve to impact form and function in biology. This research is expected to have commercial applications in biotechnology processes and bioengineering.Read moreRead less
Understanding the robustness and plasticity of metabolite concentrations. This project aims to further the understanding of how organisms mitigate the effects of changing environment by altering metabolite concentrations, important for food quality, energetics, and health. Through this understanding, the project provides the potential to precisely tailor metabolic intervention strategies, highly beneficial for applied sciences. The expected outcome of the project is a suite of computational appr ....Understanding the robustness and plasticity of metabolite concentrations. This project aims to further the understanding of how organisms mitigate the effects of changing environment by altering metabolite concentrations, important for food quality, energetics, and health. Through this understanding, the project provides the potential to precisely tailor metabolic intervention strategies, highly beneficial for applied sciences. The expected outcome of the project is a suite of computational approaches that allow for integration of large-scale data with networks to predict metabolite concentration ranges. This will provide significant benefit with the aim of maintaining outstanding research in Australia, and has clear potential for improved human health and enhanced food quality via metabolic reprogramming.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100803
Funder
Australian Research Council
Funding Amount
$365,094.00
Summary
Impact of screen time on preschoolers’ social skills and cognitive function. This project aims to determine how the quantity and nature of screen time interacts with parental co-participation to affect pre-schoolers’ social skills and cognitive functioning. Seventy per cent of pre-schoolers exceed current screen time guidelines and this causes considerable concern among Australian parents. This project will assist in evaluating how much, and which types, of screen time have benefits for social ....Impact of screen time on preschoolers’ social skills and cognitive function. This project aims to determine how the quantity and nature of screen time interacts with parental co-participation to affect pre-schoolers’ social skills and cognitive functioning. Seventy per cent of pre-schoolers exceed current screen time guidelines and this causes considerable concern among Australian parents. This project will assist in evaluating how much, and which types, of screen time have benefits for social skills and cognitive functioning. It will also provide insights into the ways parents may best support these outcomes. Findings are expected to provide evidence for policy development and inform programs to support healthy behaviours to give young children the best start in life.Read moreRead less
A Method for Analysis of Complexity in Cognitive Processes: Applications to Prediction of Industrial Workloads. The project will develop a method for analysis of cognitive complexity in human and animal cognition. It will contribute to basic research because it will enable equivalences and relative complexities of cognitive functions to be determined, independent of content or methodology. It will have applications to education, because it enables complexities of concepts to be recognised and a ....A Method for Analysis of Complexity in Cognitive Processes: Applications to Prediction of Industrial Workloads. The project will develop a method for analysis of cognitive complexity in human and animal cognition. It will contribute to basic research because it will enable equivalences and relative complexities of cognitive functions to be determined, independent of content or methodology. It will have applications to education, because it enables complexities of concepts to be recognised and appropriate pedagogies determined. It also has application to human factors, especially industrial performance and decision making. It will advance on currrent methods because it enables workload to be analysed and predicted, so that it can be factored into job and system design. Read moreRead less
Theoretical Foundations of Ethical Machine Learning. The project aims to develop a systematic theory of ethical machine learning. Machine learning is a powerful and pervasive technology that is already having a huge impact on Australia. When applied to data about people there are a range of ethical harms that can arise (fairness, and privacy are two of them). The project aims to develop a rigorously grounded foundation for managing such ethical harms. For example it will allow the quantification ....Theoretical Foundations of Ethical Machine Learning. The project aims to develop a systematic theory of ethical machine learning. Machine learning is a powerful and pervasive technology that is already having a huge impact on Australia. When applied to data about people there are a range of ethical harms that can arise (fairness, and privacy are two of them). The project aims to develop a rigorously grounded foundation for managing such ethical harms. For example it will allow the quantification of the inevitable trade-offs between fairness and utility. The benefits of the project should include better ways of managing these trade-offs, a competitive advantage for Australian firms developing the technology, and will ensure that the country retains a social license to use the technology.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL200100176
Funder
Australian Research Council
Funding Amount
$3,128,080.00
Summary
Theoretical Foundations of Ethical Machine Learning. The project will develop a systematic theory of ethical machine learning. Machine learning is a powerful and pervasive technology that is already having a huge impact on Australia. When applied to data about people there are a range of ethical harms that can arise (fairness, and privacy are two of them). The project will develop a rigorously grounded foundation for managing such ethical harms. For example it will allow the quantification of t ....Theoretical Foundations of Ethical Machine Learning. The project will develop a systematic theory of ethical machine learning. Machine learning is a powerful and pervasive technology that is already having a huge impact on Australia. When applied to data about people there are a range of ethical harms that can arise (fairness, and privacy are two of them). The project will develop a rigorously grounded foundation for managing such ethical harms. For example it will allow the quantification of the inevitable trade-offs between fairness and utility. The benefits of the project will include the best possible ways of managing these trade-offs, competitive advantage for Australian firms developing the technology, and will ensure that the country retains a social license to use the technology.Read moreRead less