Kinematica: Inference-Based Rapid Resource Exploration Scenario Testing. This project aims to build a new workflow for improving resource exploration evaluation by Australian companies and applied to three practical industry cases in frontier basins. The expected outcomes of this proposal are: detailed risk analysis of oil and gas prospectivity in frontier basins onshore and offshore Australia; a new strategic collaboration between Australian industry, government and universities; students train ....Kinematica: Inference-Based Rapid Resource Exploration Scenario Testing. This project aims to build a new workflow for improving resource exploration evaluation by Australian companies and applied to three practical industry cases in frontier basins. The expected outcomes of this proposal are: detailed risk analysis of oil and gas prospectivity in frontier basins onshore and offshore Australia; a new strategic collaboration between Australian industry, government and universities; students trained in advanced computational methods suitable for the evolving Australian oil and gas industry; and a software product that has high commericalisation potential. The project will transfer knowledge from European industry and universities to Australia and has applications for mineral prospectivity in sedimentary basins. Read moreRead less
Australian Laureate Fellowships - Grant ID: FL230100030
Funder
Australian Research Council
Funding Amount
$3,320,000.00
Summary
A walk on the wild side: understanding disease resistance across plants. Plants are in constant battle with pests and pathogens. Wild species host genetic diversity, providing sources of disease resistance, while the narrow genetic base of crop varieties leads to an increasing reliance on the unsustainable application of chemical fungicides. Here I will apply the latest genomics approaches to characterise disease resistance gene diversity across the plant kingdom. Comparison of gene diversity wi ....A walk on the wild side: understanding disease resistance across plants. Plants are in constant battle with pests and pathogens. Wild species host genetic diversity, providing sources of disease resistance, while the narrow genetic base of crop varieties leads to an increasing reliance on the unsustainable application of chemical fungicides. Here I will apply the latest genomics approaches to characterise disease resistance gene diversity across the plant kingdom. Comparison of gene diversity within and between plant families will improve our understanding of resistance gene evolution in wild species and the impact of domestication and breeding on resistance gene diversity. Translation of this knowledge will support breeding for crop resilience, leading to durable resistance and more sustainable crop productionRead moreRead less
Investigating a novel genetic strategy for insect resistance in crops. Plants are in a constant battle with insect pests and there is an increasing reliance on chemical inputs for control. However there are incoming bans on some pesticides, and new approaches are required for pest management. The aim of this project is to develop a new strategy which exploits the dependence of herbivorous insects on phytosterols. Here, we will apply the latest genomics technologies in plants to produce non-utili ....Investigating a novel genetic strategy for insect resistance in crops. Plants are in a constant battle with insect pests and there is an increasing reliance on chemical inputs for control. However there are incoming bans on some pesticides, and new approaches are required for pest management. The aim of this project is to develop a new strategy which exploits the dependence of herbivorous insects on phytosterols. Here, we will apply the latest genomics technologies in plants to produce non-utilizable sterols which will not support insect growth and reproduction, but will still allow the plant to function normally. We will demonstrate this in the important crop canola. Translation of this knowledge will support breeding for crop resilience, leading to durable resistance and more sustainable crop production.Read moreRead less
Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed ....Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed methodology enables quantification of confidence in the predictions. This will provide ship owners, directly to their vessels and/or at the fleet management centres, information such as weather reports, reliable collision/no-collision warnings and avoidance strategies, on-the-fly. Read moreRead less
Passive Positioning and Tracking of Flying Objects Using Satellite Signals. Along with the deployment of low Earth orbit satellite constellations for global satellite Internet services, such as Starlink, Ku/Ka/V band microwave signals from space will be available anywhere on Earth 24/7. Utilising the microwave signals, this project aims to investigate a high-resolution cost-effective solution to position and track un-cooperative flying objects, and expects to generate new knowledge in the area o ....Passive Positioning and Tracking of Flying Objects Using Satellite Signals. Along with the deployment of low Earth orbit satellite constellations for global satellite Internet services, such as Starlink, Ku/Ka/V band microwave signals from space will be available anywhere on Earth 24/7. Utilising the microwave signals, this project aims to investigate a high-resolution cost-effective solution to position and track un-cooperative flying objects, and expects to generate new knowledge in the area of remote sensing and to make Australia the leader in passive flying objects positioning and tracking. This should provide significant benefits, such as enabling new applications for future drone delivery systems or aerial taxi services, and benefiting the air transport industry, the defence industry, and bird conservation.Read moreRead less
A Bayesian Approach to Distributed Estimation for Multi-Object Systems. This project aims to develop new signal processing techniques that facilitate autonomous technologies for environmental perception, with the ability to efficiently process large data volumes from multiple sensing modalities. Rapid advances in sensors and networks have led to a digital data deluge, from which extracting useful information presents new technological challenges and opportunities. To address this development, th ....A Bayesian Approach to Distributed Estimation for Multi-Object Systems. This project aims to develop new signal processing techniques that facilitate autonomous technologies for environmental perception, with the ability to efficiently process large data volumes from multiple sensing modalities. Rapid advances in sensors and networks have led to a digital data deluge, from which extracting useful information presents new technological challenges and opportunities. To address this development, this project seeks to develop new distributed solutions for statistical estimation, which are specifically designed for dynamic systems with multiple object states, and are inherently scalable and robust. The potential benefits include new technologies for smart cities, autonomous infrastructure, and digital productivity.Read moreRead less
3D tomographic reconstruction of rainfall using satellite signals. This project aims to use the microwave communication links of low earth and/or medium earth orbit satellites to achieve three dimensional tomographic reconstruction of rainfall. The path loss of microwave signals due to rainfall, known as rain attenuation can be used to measure rain. Similar to using X-ray to carry out human-body CT scans. With the aid of advanced signal processing techniques, the proposed method will achieve 3D ....3D tomographic reconstruction of rainfall using satellite signals. This project aims to use the microwave communication links of low earth and/or medium earth orbit satellites to achieve three dimensional tomographic reconstruction of rainfall. The path loss of microwave signals due to rainfall, known as rain attenuation can be used to measure rain. Similar to using X-ray to carry out human-body CT scans. With the aid of advanced signal processing techniques, the proposed method will achieve 3D measurements with resolution and coverage unachievable before, paving the way for innovative water relevant applications such as hydrology and agriculture, and new findings in atmospheric research.Read moreRead less
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
A Novel Inline High-Efficiency Motor/Pump System. Around 19% of the world’s and 30% of the Australia’s electric energy is consumed by pump technologies. Significant energy savings are possible if the major components of pump systems, including inverter, motor and pump, operate at their maximum possible efficiency under varying loads. A novel pump design in this project accommodates integrated electronics in a submersible housing. A seal-less design helps mitigate several aspects of pump failure ....A Novel Inline High-Efficiency Motor/Pump System. Around 19% of the world’s and 30% of the Australia’s electric energy is consumed by pump technologies. Significant energy savings are possible if the major components of pump systems, including inverter, motor and pump, operate at their maximum possible efficiency under varying loads. A novel pump design in this project accommodates integrated electronics in a submersible housing. A seal-less design helps mitigate several aspects of pump failure and its in-line structure reduces assembly cost. Accurately measured efficiency maps will be utilised to demonstrate the non-linear relationship between motor and pump quantities as well as developing models for indirectly estimating feedback quantities and achieving the highest system efficiency.Read moreRead less