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
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
Design of the cardiovascular system of living and fossil vertebrates. This project aims to understand how the heart and blood vessels evolved in mammals, birds, reptiles and fish to achieve efficiency. The heart is the most important organ for life. The project will study the structure and function of vertebrate animals’ hollow and spongy hearts to show how energetics shaped their evolution. It will measure arterial holes in bone to gauge brain and bone metabolism, which opens up a new way to me ....Design of the cardiovascular system of living and fossil vertebrates. This project aims to understand how the heart and blood vessels evolved in mammals, birds, reptiles and fish to achieve efficiency. The heart is the most important organ for life. The project will study the structure and function of vertebrate animals’ hollow and spongy hearts to show how energetics shaped their evolution. It will measure arterial holes in bone to gauge brain and bone metabolism, which opens up a new way to measure metabolism in extinct animals directly from fossils, rather than by inference from living relatives. The expected outcome is to correlate cardiovascular design and metabolic rates of organs.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
Genomes on islands: Improving management of Australia's threatened mammals. This project aims to improve the management of endangered mammals by combining data on genomic and morphological variation with results from conservation translocations. Using new genomics methods, the project will measure the effects of small population size on genetic diversity and mutation load, in extinct as well as remnant and translocated populations. The project will monitor seven intensively managed marsupial spe ....Genomes on islands: Improving management of Australia's threatened mammals. This project aims to improve the management of endangered mammals by combining data on genomic and morphological variation with results from conservation translocations. Using new genomics methods, the project will measure the effects of small population size on genetic diversity and mutation load, in extinct as well as remnant and translocated populations. The project will monitor seven intensively managed marsupial species to better understand how to mix populations for fauna restoration projects. This project should improve methods to promote species recovery in Australia and globally.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100464
Funder
Australian Research Council
Funding Amount
$467,577.00
Summary
A genomic toolkit to future-proof the seaweed industry. This project will combine genomics, artificial intelligence and experimental ecology to develop guidelines and technologies that maximise the growth and resilience of key seaweed species for aquaculture. Industrial seaweed production is growing rapidly and is expected to supply 1000s of jobs to regional Australia and 10% to the nation’s emissions reduction target by 2040. Expected outcomes of this project include a genomics-based regulatory ....A genomic toolkit to future-proof the seaweed industry. This project will combine genomics, artificial intelligence and experimental ecology to develop guidelines and technologies that maximise the growth and resilience of key seaweed species for aquaculture. Industrial seaweed production is growing rapidly and is expected to supply 1000s of jobs to regional Australia and 10% to the nation’s emissions reduction target by 2040. Expected outcomes of this project include a genomics-based regulatory framework and hatchery tools that support rapid industry growth and minimise biosecurity and climate change risks. This will benefit government, aquaculture, and ecosystem management by improving design, assessment and implementation options for sustainable and productive use of Australian seaweeds.Read moreRead less
Investigating differences in decision-making ability in older adults. This project aims to investigate how healthy ageing impacts decision making and its associated neural circuits using computation modelling and neurogenetic methods. Decision-making is a fundamental cognitive ability, allowing us to choose the best course of action. This project will investigate the relationship between genes and decision-making performance across the adult lifespan. Expected outcomes include a deeper understan ....Investigating differences in decision-making ability in older adults. This project aims to investigate how healthy ageing impacts decision making and its associated neural circuits using computation modelling and neurogenetic methods. Decision-making is a fundamental cognitive ability, allowing us to choose the best course of action. This project will investigate the relationship between genes and decision-making performance across the adult lifespan. Expected outcomes include a deeper understanding of how decision-making evolves in healthy ageing, and a tool based on genetic scores and computational modelling to predict an individual's trajectory of cognitive function. This could help identify individuals who are at risk for cognitive decline, which could then inform better interventions.Read moreRead less