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
Explainable machine learning for electrification of everything. The energy sector is the largest contributor to greenhouse gas emissions. "Electrification of Everything" combined with electricity generation from renewables is a key solution to decarbonise the energy and transport sectors. This project aims to develop an explainable machine learning based data-driven technology to accurately predict the impact of electrification on consumers energy consumption and cost. The expected outcome of th ....Explainable machine learning for electrification of everything. The energy sector is the largest contributor to greenhouse gas emissions. "Electrification of Everything" combined with electricity generation from renewables is a key solution to decarbonise the energy and transport sectors. This project aims to develop an explainable machine learning based data-driven technology to accurately predict the impact of electrification on consumers energy consumption and cost. The expected outcome of this project includes a data-informed decision support technology to help consumers choose the best electrification technologies and solutions. This should provide significant benefits, such as increasing community engagement with electrification, and thus reducing their carbon footprint.Read moreRead less
Machine learning techniques for fuel loss detection at service stations. This project aims to develop effective techniques to identify the sources of fuel losses, such as leaks and calibration errors in underground storage tanks at service stations. Monitoring fuel losses at service stations is influenced by many external factors which can be difficult to predict. The project expects to use machine learning to develop the techniques and test them with live data at service stations. The expected ....Machine learning techniques for fuel loss detection at service stations. This project aims to develop effective techniques to identify the sources of fuel losses, such as leaks and calibration errors in underground storage tanks at service stations. Monitoring fuel losses at service stations is influenced by many external factors which can be difficult to predict. The project expects to use machine learning to develop the techniques and test them with live data at service stations. The expected outcomes are a set of tailor-made machine learning techniques for effective fuel loss detection and a software suite that can be easily incorporated into the normal operation of service stations. This should reduce the costs to the petroleum industry from wasteful leaks and the environmental damage caused by these leaks. Read moreRead less
Multi-service assessment of intertidal treatment wetlands. This project aims to investigate the use of constructed intertidal wetlands to reduce nitrogen pollution while providing co-benefits including carbon sequestration and biodiversity. This research will generate a holistic assessment of the services, disservices, and cost-effectiveness of intertidal treatment wetlands compared to traditional wastewater treatment approaches. Expected outcomes include a full-scale multi-disciplinary environm ....Multi-service assessment of intertidal treatment wetlands. This project aims to investigate the use of constructed intertidal wetlands to reduce nitrogen pollution while providing co-benefits including carbon sequestration and biodiversity. This research will generate a holistic assessment of the services, disservices, and cost-effectiveness of intertidal treatment wetlands compared to traditional wastewater treatment approaches. Expected outcomes include a full-scale multi-disciplinary environmental and economic assessment of a constructed treatment wetland in a new urban development, providing industry and government partners the knowledge required to broaden uptake of intertidal wetlands as a cost-effective solution to growing levels of coastal anthropogenic pollution.Read moreRead less
A Socially Conscious Smart IoT Platform for Water Quality Monitoring. This project will develop an intelligent remote water quality monitoring platform based on a new sensor network architectural paradigm. Expected outcomes include an artificially intelligent water quality monitoring system that is produced via a unique social enterprise business model. This approach will facilitate widespread remote water quality monitoring, leading to an enhanced understanding of the environment, whilst provid ....A Socially Conscious Smart IoT Platform for Water Quality Monitoring. This project will develop an intelligent remote water quality monitoring platform based on a new sensor network architectural paradigm. Expected outcomes include an artificially intelligent water quality monitoring system that is produced via a unique social enterprise business model. This approach will facilitate widespread remote water quality monitoring, leading to an enhanced understanding of the environment, whilst providing valuable training/education for the community stakeholders involved in the production of the system. The research outcome will be globally significant, enabling end users to meet key water quality objectives over time, and considerably increase productivity in the Australian agriculture/aquaculture industries.Read moreRead less
Understanding snow gum dieback for effective and integrated management. The project leverages recent research and infrastructure investments and our determined and collaborative team as it aims to: 1) assess the future geography of snow gum dieback in the high country and identify priority locations for pro-active management, 2) quantify the impact of snow gums on high country water and carbon budgets and thus the socio- economic and biodiversity values, and 3) determine options for mitigation. ....Understanding snow gum dieback for effective and integrated management. The project leverages recent research and infrastructure investments and our determined and collaborative team as it aims to: 1) assess the future geography of snow gum dieback in the high country and identify priority locations for pro-active management, 2) quantify the impact of snow gums on high country water and carbon budgets and thus the socio- economic and biodiversity values, and 3) determine options for mitigation. Dieback of our iconic snow gum forests is diminishing the ecological, hydrological and cultural values of the Australian Alps and will impact state and national water-supply and power-generation systems. Our research will inform Alps-wide management efforts designed for long-term success.Read moreRead less
Ecosystem resilience of Shark Bay under changing ocean climate. This project aims to investigate the resilience of the Shark Bay World Heritage Site to projected climate change. This project will generate new knowledge for marine conservation through analyses of habitat loss on nutrient budgets and productivity in seagrass and microbialite ecosystems. Expected outcomes are an improved understanding of climate-driven shifts on ecosystem processes in Shark Bay, incorporating science-based evidence ....Ecosystem resilience of Shark Bay under changing ocean climate. This project aims to investigate the resilience of the Shark Bay World Heritage Site to projected climate change. This project will generate new knowledge for marine conservation through analyses of habitat loss on nutrient budgets and productivity in seagrass and microbialite ecosystems. Expected outcomes are an improved understanding of climate-driven shifts on ecosystem processes in Shark Bay, incorporating science-based evidence for better conservation and management. This will provide significant benefits by contributing to the future-proofing of Shark Bay’s World Heritage values to climate change, and more broadly by demonstrating the consequences of the continued tropicalisation of Australia’s coastline.Read moreRead less
Developing a framework for effective oyster reef restoration. This project aims to investigate ecological barriers to the recovery of functionally extinct Sydney Rock Oyster reefs on Australia’s east coast, and restoration methods to reinstate their key ecosystem services. This project expects to create new knowledge for designing functional reefs by integrating physiology, population, community and landscape ecology. Expected outcomes are an ecological decision framework for effective oyster re ....Developing a framework for effective oyster reef restoration. This project aims to investigate ecological barriers to the recovery of functionally extinct Sydney Rock Oyster reefs on Australia’s east coast, and restoration methods to reinstate their key ecosystem services. This project expects to create new knowledge for designing functional reefs by integrating physiology, population, community and landscape ecology. Expected outcomes are an ecological decision framework for effective oyster reef restoration that can be integrated into management and policy. This project should provide significant benefits, such as the development of key strategic alliances to enhance management of estuaries, and reestablish the environmental, economic and social benefits of oyster reefs.Read moreRead less
Ecosystem risk assessment. This project aims to develop a type-based framework for the world's ecosystems, and undertake the first broad-scale global risk assessment for ecosystems. It will include detailed Australian risk assessments and scenario analyses to develop sustainable management of ecosystem services and climate adaptation strategies. The outcomes include a global-scale framework for classifying terrestrial, freshwater and marine ecosystems, the first global Red List of Ecosystems and ....Ecosystem risk assessment. This project aims to develop a type-based framework for the world's ecosystems, and undertake the first broad-scale global risk assessment for ecosystems. It will include detailed Australian risk assessments and scenario analyses to develop sustainable management of ecosystem services and climate adaptation strategies. The outcomes include a global-scale framework for classifying terrestrial, freshwater and marine ecosystems, the first global Red List of Ecosystems and identified priorities for protecting remaining wild ecosystems and restoring those that have suffered degradation. This will help meet UN Sustainable Development Goals to improve human well-being globally.Read moreRead less