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
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
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
Rediscovering Aboriginal dispersal pathways. This project aims to use cutting-edge and transdisciplinary tools in partnership with Aboriginal people to rediscover deliberate prehistoric plant dispersal pathways along the Australian east coast. By working on three unrelated species with similar disjunct distributions, expected outcomes include detecting significant ‘cultural’ vegetation patterns that will challenge current assumptions about 'natural' plant distributions. New associations between ....Rediscovering Aboriginal dispersal pathways. This project aims to use cutting-edge and transdisciplinary tools in partnership with Aboriginal people to rediscover deliberate prehistoric plant dispersal pathways along the Australian east coast. By working on three unrelated species with similar disjunct distributions, expected outcomes include detecting significant ‘cultural’ vegetation patterns that will challenge current assumptions about 'natural' plant distributions. New associations between plant biogeography and deliberate Aboriginal manipulation of Australian environments will benefit cultural heritage, land management and restoration initiatives.Read moreRead less
Coevolution of sundew bugs and sundews. This project aims to conduct a study of insect-plant interactions to determine if insects and plants coevolve or if they diversify by other evolutionary processes. Insect-plant coevolution is a hotly contested field in evolutionary biology. In Australia, a remarkable interaction exists between carnivorous plants and a group of bugs that steal the plant’s prey. This system offers a great opportunity to test competing coevolutionary theories through a combin ....Coevolution of sundew bugs and sundews. This project aims to conduct a study of insect-plant interactions to determine if insects and plants coevolve or if they diversify by other evolutionary processes. Insect-plant coevolution is a hotly contested field in evolutionary biology. In Australia, a remarkable interaction exists between carnivorous plants and a group of bugs that steal the plant’s prey. This system offers a great opportunity to test competing coevolutionary theories through a combination of historical and ecological approaches. The project expects to showcase the evolution and uniqueness of Australia’s native biota.Read moreRead less
Using fire to manage biodiversity in fragmented landscapes. Using fire to manage biodiversity in fragmented landscapes. This project intends to develop a conservation management tool for use in fire-prone fragmented landscapes to reverse biodiversity loss. It will address two critical knowledge gaps: the combined effects of fire and fragmentation on animal movement, and the implications of current and future fire regimes for native animal populations. Land-use change has severely fragmented 40% ....Using fire to manage biodiversity in fragmented landscapes. Using fire to manage biodiversity in fragmented landscapes. This project intends to develop a conservation management tool for use in fire-prone fragmented landscapes to reverse biodiversity loss. It will address two critical knowledge gaps: the combined effects of fire and fragmentation on animal movement, and the implications of current and future fire regimes for native animal populations. Land-use change has severely fragmented 40% of Australia’s natural landscapes, resulting in loss of habitat for native biodiversity. Remaining habitat fragments are at risk from increases in the frequency and intensity of fire, which also threatens biodiversity. The anticipated outcome is a conservation management tool that is readily transferable to any fire-prone system.Read moreRead less
Fisheries genomics of snapper in Australia and New Zealand Waters. This industry-driven project aims to assemble a strategic research alliance to generate and apply knowledge to a highly significant fisheries resource. It involves collaboration between the five major state government fisheries agencies in Australia, the New Zealand’s Crown Research Institute for seafood and two Australian labs with leadership in fish genetics and genomics. It expects to generate and integrate genomic, environmen ....Fisheries genomics of snapper in Australia and New Zealand Waters. This industry-driven project aims to assemble a strategic research alliance to generate and apply knowledge to a highly significant fisheries resource. It involves collaboration between the five major state government fisheries agencies in Australia, the New Zealand’s Crown Research Institute for seafood and two Australian labs with leadership in fish genetics and genomics. It expects to generate and integrate genomic, environmental and phenotypic datasets for snapper populations from across vast coastal regions of the two countries. The outcomes should substantially enhance intra- and inter-jurisdictional fisheries management and aquaculture initiatives, providing commercial, social and environmental benefits for many stakeholders.Read moreRead less