Collaborative Sensing and Learning for Maritime Situational Awareness. We aim to demonstrate coordinated autonomous sensing of naval assets in dynamic maritime environments, reducing the operational load required to deliver a high quality maritime situational awareness. A realistic simulation based approach will help us develop novel artificial intelligence technology including: self-adaptive strategies for dynamic asset allocation, embedded smart sensing capabilities for naval observation syste ....Collaborative Sensing and Learning for Maritime Situational Awareness. We aim to demonstrate coordinated autonomous sensing of naval assets in dynamic maritime environments, reducing the operational load required to deliver a high quality maritime situational awareness. A realistic simulation based approach will help us develop novel artificial intelligence technology including: self-adaptive strategies for dynamic asset allocation, embedded smart sensing capabilities for naval observation systems and novel approaches to continuous collaborative learning from multi-spectral media. In addition to the emerging partnership between participants, the project will advance sovereign capability to develop maritime intelligence gathering technology for the Royal Australian Navy to underpin stability in our region. Read moreRead less
Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart g ....Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart grids and optimal charging and discharging tasks in a large network of electric vehicles, helping Australian power industry improve efficiency and security, as well as training the next generation scientists and engineers for Australia in this emerging field.Read moreRead less
Multiobjective Memetic Algorithms for Multi-task Symbolic Regression. This project aims at developing the new generation of symbolic regression methods using a yet unexplored way to represent mathematical functions. We will use memetic algorithms to create mathematical models for symbolic regression. Our memetic computing approach will be data-driven and will use multi-objective optimization and multi-task evolutionary computation for symbolic regression, addressing a core need of many areas of ....Multiobjective Memetic Algorithms for Multi-task Symbolic Regression. This project aims at developing the new generation of symbolic regression methods using a yet unexplored way to represent mathematical functions. We will use memetic algorithms to create mathematical models for symbolic regression. Our memetic computing approach will be data-driven and will use multi-objective optimization and multi-task evolutionary computation for symbolic regression, addressing a core need of many areas of science and technology. A large number of datasets will be investigated to benchmark the new methods. The expected outcomes will help support our national priorities with new data analytic capabilities. With a strong and interdisciplinary team in three continents, the project will attract international collaboration. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100115
Funder
Australian Research Council
Funding Amount
$180,000.00
Summary
Confocal microscope for high-resolution microtopographic analysis of surfaces in historical, forensic and polymer sciences. High-resolution analyses of microscopic patterns on surfaces using confocal microscopy can provide vital clues into the nature of ancient diets and environments, adaptive evolution, weapons used in crimes, and properties of polymers. This instrument will heighten Australia’s capacity for world-leading research in areas of major national importance.
Evolution in tooth and claw: exploring the relationship between the radiation of marsupial herbivores and late Cenozoic climate change. Establishing how animals responded to past environmental changes is essential for understanding the ecology of modern species and managing them in light of contemporary climatic trends. By applying several novel analytical methods this project will unravel the links between the radiation of Australian marsupials and key stages in climatic evolution.
Faunal responses to environmental change and isolation on an Australian land-bridge island. Establishing how faunas responded to past isolation and environmental changes offers great potential for predicting long-term impacts of habitat fragmentation. By combining novel methods we will track extinction rates, diet and body-size shifts on Kangaroo Island, the only known land-bridge island with a fossil record spanning the past 100,000 years.
Plastic brains: Neural adaptations to changing environments in reptiles. The project aims to quantify brain anatomy on an unprecedented scale in comparative neurobiology. Focusing on Australia’s diverse and extensive collection of reptiles, including goannas, dragons and venomous snakes, the project expects to generate new knowledge on the evolution of brains as these animals adapted to new habitats and climates. Data will be collected by cutting-edge micro-CT technology and advanced phylogeneti ....Plastic brains: Neural adaptations to changing environments in reptiles. The project aims to quantify brain anatomy on an unprecedented scale in comparative neurobiology. Focusing on Australia’s diverse and extensive collection of reptiles, including goannas, dragons and venomous snakes, the project expects to generate new knowledge on the evolution of brains as these animals adapted to new habitats and climates. Data will be collected by cutting-edge micro-CT technology and advanced phylogenetic techniques, which will be complemented by detailed neuroanatomy. Expected outcomes include enhanced understanding of the effects of temperature on brains, and a large database of 3D digital anatomical models. A major benefit includes a greater ability to mitigate the effects of environmental change.Read moreRead less
Genomics and mixed source populations in wildlife translocations. Translocation is a conservation strategy to help the plight of endangered species, and is becoming increasing important to mitigate against climate change. However translocations often fail. Theory suggests mixing individuals from different source populations would benefit species' genomic diversity and potentially success rates, however this is untested in animals. Also unclear is what parts of the genome are important for mitiga ....Genomics and mixed source populations in wildlife translocations. Translocation is a conservation strategy to help the plight of endangered species, and is becoming increasing important to mitigate against climate change. However translocations often fail. Theory suggests mixing individuals from different source populations would benefit species' genomic diversity and potentially success rates, however this is untested in animals. Also unclear is what parts of the genome are important for mitigating against climate change. Using an endangered lizard model, this project aims to understand how to best start new populations by 1) providing the first empirical test in terrestrial vertebrates of using mixed source populations; and 2) uncovering regions of the genome important for considering in translocations.Read moreRead less
Diet influences the selective advantage of mitochondrial DNA mutations. This project aims to examine critical mechanisms that affect mitochondrial DNA variation within species. It aims to test the hypothesis that mitochondrial DNA haplotypes have the potential to be under nutritionally induced balancing selection as a consequence of cellular signalling and/or Adenosine triphosphate (ATP) production by mitochondria. Diet can vary both seasonally and geographically and is a key environmental param ....Diet influences the selective advantage of mitochondrial DNA mutations. This project aims to examine critical mechanisms that affect mitochondrial DNA variation within species. It aims to test the hypothesis that mitochondrial DNA haplotypes have the potential to be under nutritionally induced balancing selection as a consequence of cellular signalling and/or Adenosine triphosphate (ATP) production by mitochondria. Diet can vary both seasonally and geographically and is a key environmental parameter that influences the ability of a species to colonise new habitats. The project plans to characterise the functional links between specific mitochondrial DNA haplotypes, mitochondrial functions and organismal traits. The expected outcome is a more precise grasp of the processes influencing genetic variation within and among species, which would inform current issues in ecology and genetics.Read moreRead less
Building Australia's next-generation ocean-sea ice model. Ocean and sea ice models are used for predicting future ocean and climate states, and for climate process research. This project aims to bring the next generation of ocean-sea ice models to Australia and configure the models for our local priorities. The ultimate goal is to create a new coupled ocean-sea ice model for Australia that includes surface waves and biogeochemistry. The model will be optimised and evaluated on Australian facilit ....Building Australia's next-generation ocean-sea ice model. Ocean and sea ice models are used for predicting future ocean and climate states, and for climate process research. This project aims to bring the next generation of ocean-sea ice models to Australia and configure the models for our local priorities. The ultimate goal is to create a new coupled ocean-sea ice model for Australia that includes surface waves and biogeochemistry. The model will be optimised and evaluated on Australian facilities, and released for community use. These developments underpin future ocean state forecasts, sea ice forecasts, wave forecasts, decadal climate prediction and climate process studies. The project will benefit search and rescue, Defence and shipping operations, and will enhance future climate projections.Read moreRead less