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Socio-spatial implications of smart city development in India. The project aims to generate extensive new knowledge on the complex socio-spatial implications of smart city development; and the ways in which they have been further consolidated, expedited, and elevated in response to COVID, and to stimulate the pandemic-hit economies. It makes a significant contribution to smart urbanism discourse globally with a focus on equity and its special role at times of crisis. The outcomes include a Smart ....Socio-spatial implications of smart city development in India. The project aims to generate extensive new knowledge on the complex socio-spatial implications of smart city development; and the ways in which they have been further consolidated, expedited, and elevated in response to COVID, and to stimulate the pandemic-hit economies. It makes a significant contribution to smart urbanism discourse globally with a focus on equity and its special role at times of crisis. The outcomes include a Smart City Roadmap for advising diverse stakeholders on how to negotiate for and build inclusive smart cities - with significant benefits in strengthening existing, and building new connections between India and Australia in an area of bilateral national significance.Read moreRead less
Transforming tobacco policy to deliver societal benefits. This project aims to develop new regulatory options for tobacco to minimise the legal market while avoiding the adverse societal and economic impacts of transferring consumer demand to illegal tobacco products. It addresses a significant current concern about a growing illegal tobacco market and seeks to improve understanding of the impact of tobacco control policies on the illegal market, and the societal impacts. The project also seeks ....Transforming tobacco policy to deliver societal benefits. This project aims to develop new regulatory options for tobacco to minimise the legal market while avoiding the adverse societal and economic impacts of transferring consumer demand to illegal tobacco products. It addresses a significant current concern about a growing illegal tobacco market and seeks to improve understanding of the impact of tobacco control policies on the illegal market, and the societal impacts. The project also seeks to draw insights from illicit drug policy to understand potential consequences of greater restrictions on the legal tobacco market. The expected outcomes include an enhanced monitoring system for illicit tobacco and policy recommendations to achieve government goals of reducing smoking rates.Read moreRead less
Everyday autism: bridging the gap between lab and life. Recent research demonstrates that autistic people, their families and professionals often feel that there remains a sharp divide between autism science and key aspects of everyday autistic life, despite significant public investment in that science. This proposed research investigates reasons for this divide and proposes ways in which it might be overcome. Expected outcomes include greater opportunities for autistic people to play active ro ....Everyday autism: bridging the gap between lab and life. Recent research demonstrates that autistic people, their families and professionals often feel that there remains a sharp divide between autism science and key aspects of everyday autistic life, despite significant public investment in that science. This proposed research investigates reasons for this divide and proposes ways in which it might be overcome. Expected outcomes include greater opportunities for autistic people to play active roles in the research process and more scientific experimentation that moves out of the laboratory and into more true-to-life settings. Bridging the gap between lab and life will result in better theory-building on autism, better translation of scientific discoveries and more robust policy recommendations.Read moreRead less
A Bayesian Approach to Distributed Estimation for Multi-Object Systems. This project aims to develop new signal processing techniques that facilitate autonomous technologies for environmental perception, with the ability to efficiently process large data volumes from multiple sensing modalities. Rapid advances in sensors and networks have led to a digital data deluge, from which extracting useful information presents new technological challenges and opportunities. To address this development, th ....A Bayesian Approach to Distributed Estimation for Multi-Object Systems. This project aims to develop new signal processing techniques that facilitate autonomous technologies for environmental perception, with the ability to efficiently process large data volumes from multiple sensing modalities. Rapid advances in sensors and networks have led to a digital data deluge, from which extracting useful information presents new technological challenges and opportunities. To address this development, this project seeks to develop new distributed solutions for statistical estimation, which are specifically designed for dynamic systems with multiple object states, and are inherently scalable and robust. The potential benefits include new technologies for smart cities, autonomous infrastructure, and digital productivity.Read moreRead less
The role of genome reorganisation in adaptation and speciation. Local adaptation and speciation are fundamental evolutionary processes that rely on changes to the genome. However, the role of genome architecture (e.g. chromosomal rearrangements, gene duplications) in driving these processes is poorly understood. This project will use advanced comparative genomics and bioinformatics to examine the role of chromosome rearrangements in driving adaptation and speciation, and evaluate rates of molec ....The role of genome reorganisation in adaptation and speciation. Local adaptation and speciation are fundamental evolutionary processes that rely on changes to the genome. However, the role of genome architecture (e.g. chromosomal rearrangements, gene duplications) in driving these processes is poorly understood. This project will use advanced comparative genomics and bioinformatics to examine the role of chromosome rearrangements in driving adaptation and speciation, and evaluate rates of molecular evolution between the X-chromosome and autosomes. Utilising Australia’s endemic mammalian fauna as a tractable model system, I will link population processes with macro-evolutionary outcomes to show how genome architecture underpins biodiversity.Read moreRead less
Regularisation methods of inverse problems: theory and computation. This project aims to investigate regularisation methods for inverse problems which are ill-posed in the sense that their solutions depend discontinuously on the data. When only noisy data is available, regularisation methods define stable approximate solutions by replacing the original inverse problem with a family of well-posed neighbouring problems monitored by a so-called regularisation parameter. The project expects to devel ....Regularisation methods of inverse problems: theory and computation. This project aims to investigate regularisation methods for inverse problems which are ill-posed in the sense that their solutions depend discontinuously on the data. When only noisy data is available, regularisation methods define stable approximate solutions by replacing the original inverse problem with a family of well-posed neighbouring problems monitored by a so-called regularisation parameter. The project expects to develop purely data-driven rules to choose the regularisation parameter and show how they work in theory, and in practice. It will also develop convex framework, acceleration strategies as well as preconditioning and splitting ideas to design efficient regularisation solvers.Read moreRead less
Partial differential equation: Schrodinger operator and long-time dynamics. This project aims to develop new analysis methods associated to the Schrodinger operator, and to solve several challenging problems regarding dispersive partial differential equations (PDE). Long-time dynamics of PDE solutions are a key goal in both pure and applied mathematics, and have been extensively studied by leading mathematicians and mathematical physicists. However, it is unknown how to investigate large soluti .... Partial differential equation: Schrodinger operator and long-time dynamics. This project aims to develop new analysis methods associated to the Schrodinger operator, and to solve several challenging problems regarding dispersive partial differential equations (PDE). Long-time dynamics of PDE solutions are a key goal in both pure and applied mathematics, and have been extensively studied by leading mathematicians and mathematical physicists. However, it is unknown how to investigate large solutions when the order of the PDE's nonlinearity is low. This project expects to develop new methods to attack such problems. The results of the project will be of great importance in mathematics and physics, as many fundamental physical models in areas such as optics, fluid mechanics and quantum mechanics fit the paradigm.Read moreRead less
Problems in harmonic analysis: decoupling and Bourgain-Brezis inequalities. This project in mathematics aims to study two recent, promising developments in harmonic analysis, namely Fourier decoupling and Bourgain-Brezis inequalities. The former captures how waves interfere upon superposition; the latter arose initially in the study of the Ginzburg-Landau theory of superconductors. This exciting project seeks to deliver deep insights into how different frequencies interact, and aims to develop p ....Problems in harmonic analysis: decoupling and Bourgain-Brezis inequalities. This project in mathematics aims to study two recent, promising developments in harmonic analysis, namely Fourier decoupling and Bourgain-Brezis inequalities. The former captures how waves interfere upon superposition; the latter arose initially in the study of the Ginzburg-Landau theory of superconductors. This exciting project seeks to deliver deep insights into how different frequencies interact, and aims to develop powerful new tools to advance the study of partial differential equations and analytic number theory. This Future Fellowship should benefit Australia by improving our scientific capability. It will bring world-class researchers to Australia for collaboration, and put Australia at the forefront of first rate research.
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Modelling human perceptual-motor interaction for human-machine applications. This project aims to develop a new modelling framework for identifying the perceptual-motor processes that underlie cooperative and competitive human interaction. The project will also determine whether this modelling framework can be combined with modern machine-learning methods to develop artificial agents capable of human level performance. Expected outcomes will include a practical methodology for rapidly generating ....Modelling human perceptual-motor interaction for human-machine applications. This project aims to develop a new modelling framework for identifying the perceptual-motor processes that underlie cooperative and competitive human interaction. The project will also determine whether this modelling framework can be combined with modern machine-learning methods to develop artificial agents capable of human level performance. Expected outcomes will include a practical methodology for rapidly generating models of effective human interaction that can be easily implemented in human-machine systems. This will provide a richer understanding of the fundamental perceptual-motor processes that support robust human interaction and enhanced the effectiveness of human-machine collaboration and training technologies.Read moreRead less
An evolutionary landscape to better predict our future climate. Soil microbial communities are the most complicated and difficult to study on Earth, but their effects on our climate are profound. This project will examine the evolution of microorganisms and their viruses in soil using novel methods. It will uncover how the evolution of one microbial species influences the evolution of other community members. It will also apply a new model of evolution to the viruses that infect these microorgan ....An evolutionary landscape to better predict our future climate. Soil microbial communities are the most complicated and difficult to study on Earth, but their effects on our climate are profound. This project will examine the evolution of microorganisms and their viruses in soil using novel methods. It will uncover how the evolution of one microbial species influences the evolution of other community members. It will also apply a new model of evolution to the viruses that infect these microorganisms, constructing a viral ‘tree of life’. This improved fundamental understanding of soil communities will be used to study climate feedback from permafrost wetlands, a key and poorly constrained input of global climate models, improving predictions of our future climate.Read moreRead less