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
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
Protecting cereal grain development at high temperatures. This project aims to investigate new temperature-responsive factors that regulate cereal grain development to protect grain production under heat stress. The new research will leverage international collaborations with access to cutting-edge genetic and technological resources, and refine novel X-ray imaging techniques in Australia, to observe how temperature affects flower structure and function in barley and rice. Favourable mutations t ....Protecting cereal grain development at high temperatures. This project aims to investigate new temperature-responsive factors that regulate cereal grain development to protect grain production under heat stress. The new research will leverage international collaborations with access to cutting-edge genetic and technological resources, and refine novel X-ray imaging techniques in Australia, to observe how temperature affects flower structure and function in barley and rice. Favourable mutations that optimise plant yield and fitness will be defined and explored in other, more complex, cereals such as wheat. Expected outcomes will be fundamental breakthroughs in understanding how plants respond to, and buffer, the effects of heat to lead to translational breeding strategies that bolster grain yield.Read moreRead less
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
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
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
Targeting chloroplasts to enhance crop salt tolerance. Yield losses in crop plants due to increasingly saline soils are linked to the effects of salt on chloroplasts. By comparing chloroplast water- and salt-transport mechanisms of closely related salt-loving and salt-sensitive plants, this Fellowships aims to discover how chloroplasts maintain function in saline conditions. Novel biophysics and molecular techniques will be used to characterise transporters in model plants, and proof-of-concept ....Targeting chloroplasts to enhance crop salt tolerance. Yield losses in crop plants due to increasingly saline soils are linked to the effects of salt on chloroplasts. By comparing chloroplast water- and salt-transport mechanisms of closely related salt-loving and salt-sensitive plants, this Fellowships aims to discover how chloroplasts maintain function in saline conditions. Novel biophysics and molecular techniques will be used to characterise transporters in model plants, and proof-of-concept complementation experiments aim to confer salt tolerance on sensitive plants. These fundamental insights are likely to lead to rapid, step-change improvements in salt tolerance, especially in agriculturally relevant crops, to benefit Australia’s agri-industry and ensure food security in the future.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