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
Tree-mediated methane fluxes: A new frontier in the global carbon cycle. Methane is an extremely potent greenhouse gas. Recent evidence suggests that tree-mediated fluxes may be a significant, but overlooked source of methane to the atmosphere. This project aims to quantify the magnitude and drivers of tree-mediated methane fluxes from Australia’s dominant forest types. Innovatively, we will be using a novel combination of empirical field based measurements, gas tracer experiments, microbial ana ....Tree-mediated methane fluxes: A new frontier in the global carbon cycle. Methane is an extremely potent greenhouse gas. Recent evidence suggests that tree-mediated fluxes may be a significant, but overlooked source of methane to the atmosphere. This project aims to quantify the magnitude and drivers of tree-mediated methane fluxes from Australia’s dominant forest types. Innovatively, we will be using a novel combination of empirical field based measurements, gas tracer experiments, microbial analysis and modelling methods. Expected outcomes are a mechanistic understanding of tree-mediated methane fluxes, helping to constrain regional, national and global methane budgets. The results of this study will help inform publicly funded greenhouse gas abatement strategies, ensuring a maximal return on investment.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
Keystone microbes and planktonic guilds in Australia's oceans. This project aims to unveil the ocean’s hidden sentinels, “keystone microbes” that underpin precious ecosystem services, and which can be used to monitor and model changes in ocean function. Marine microbes account for 90 per cent of oceanic biomass and every litre of seawater contains ~20,000 different species, but it is not known which species control ocean health and productivity. This project intends to provide definitive evidenc ....Keystone microbes and planktonic guilds in Australia's oceans. This project aims to unveil the ocean’s hidden sentinels, “keystone microbes” that underpin precious ecosystem services, and which can be used to monitor and model changes in ocean function. Marine microbes account for 90 per cent of oceanic biomass and every litre of seawater contains ~20,000 different species, but it is not known which species control ocean health and productivity. This project intends to provide definitive evidence of these keystones’ cellular level biogeochemical and metabolic capacity. Ultimately, this knowledge is expected to predict the resilience of ocean ecosystems and their response to change. The capacity to predict their dynamics will help provide investment clarity and increase healthy outcomes from activities involving human-ocean interactions such as recreation, food production and tourism.Read moreRead less
Carbon costs of plant nutrient and water uptake. This project aims to investigate how much carbon plants need to invest belowground in return for water and nutrients. By using economic principles of supply and demand the project will quantify carbon expenditure for water and nutrients in grasslands and crops under different climate and land management scenarios. This project will use triple and quadruple isotope labelling techniques and explore the dependency of carbon investment on plant-microb ....Carbon costs of plant nutrient and water uptake. This project aims to investigate how much carbon plants need to invest belowground in return for water and nutrients. By using economic principles of supply and demand the project will quantify carbon expenditure for water and nutrients in grasslands and crops under different climate and land management scenarios. This project will use triple and quadruple isotope labelling techniques and explore the dependency of carbon investment on plant-microbial interactions and availability of belowground resources. Expected outcomes include new knowledge to build a universal framework about plant carbon-water-nutrient economics. This will benefit global carbon cycling models and efforts to increase nutrient and water use efficiencies in agricultural crops.Read moreRead less