Cloudiness over the Southern Ocean: reducing a key knowledge gap and source of climate model uncertainty. Southern Ocean clouds are key ingredients of the global climate system and yet are only poorly understood and poorly represented in climate models. Through the use of advanced observational analysis techniques this research will provide a deep understanding of key Southern Ocean cloud regimes and improve their representation in models.
The Southern Ocean boundary layer: winds, turbulence, sea spray and clouds. Both satellite products and climate models have large biases in the energy and water budgets over the Southern Ocean (SO). This is a direct consequence of a poor understanding of the structure and dynamics of the SO atmospheric boundary layer, which has arisen from an inability to make the necessary observations in this harsh environment. Due to the availability of new Australian research infrastructure, large steps forw ....The Southern Ocean boundary layer: winds, turbulence, sea spray and clouds. Both satellite products and climate models have large biases in the energy and water budgets over the Southern Ocean (SO). This is a direct consequence of a poor understanding of the structure and dynamics of the SO atmospheric boundary layer, which has arisen from an inability to make the necessary observations in this harsh environment. Due to the availability of new Australian research infrastructure, large steps forward are now possible with modest investment. This project will conduct and combine observations from the recently acquired marine vessel, RV Investigator, and the collocated airborne and surface observations to understand the structure and evolution of the unique, pristine SO boundary layer and to evaluate satellites and climate models.Read moreRead less
GBR as a significant source of climatically relevant aerosol particles. Every cloud drop is formed from a microscopic aerosol particle, known as a cloud condensation nuclei (CCN). In unpolluted environments the CCN particles originate from biogenic sources. Determining the magnitude and driving factors of biogenic aerosol production in different ecosystems is crucial to the development and improvement of climate models. This project aims to determine the mechanisms of new particle production fro ....GBR as a significant source of climatically relevant aerosol particles. Every cloud drop is formed from a microscopic aerosol particle, known as a cloud condensation nuclei (CCN). In unpolluted environments the CCN particles originate from biogenic sources. Determining the magnitude and driving factors of biogenic aerosol production in different ecosystems is crucial to the development and improvement of climate models. This project aims to determine the mechanisms of new particle production from one of the biggest ecosystems in Australia, the Great Barrier Reef. It is expected that the project will establish whether marine aerosol along the Queensland coast is coral-derived and show that this aerosol can affect the CCN concentration and therefore cloud formation and the hydrological cycle.Read moreRead less
ARC Centres of Excellence for Climate System Science. Our capacity to assess the threat of climate change is undermined by an unacceptable level of uncertainty in the understanding and modelling of regional climates. The Centre will undertake world-class research targeting identified weaknesses in the physical, chemical and biological components of the climate system. We will engage and nurture graduate students and postdoctoral follows through a program of graduate training and mentoring to per ....ARC Centres of Excellence for Climate System Science. Our capacity to assess the threat of climate change is undermined by an unacceptable level of uncertainty in the understanding and modelling of regional climates. The Centre will undertake world-class research targeting identified weaknesses in the physical, chemical and biological components of the climate system. We will engage and nurture graduate students and postdoctoral follows through a program of graduate training and mentoring to permanently transform our understanding of climate systems science particularly for the Australian region. The key outcome will be a dramatic enhancement in national capacity to understand and project the scale of future regional climate change.Read moreRead less
SenShaMart: A Trusted Internet of Things Marketplace for Sensor Sharing. This project aims to devise a novel Internet of Things (IoT) sensor sharing marketplace that permits IoT applications to discover, integrate, and pay for any IoT sensor data that is made available by other parties. The project will devise highly-scalable sensor classification, query processing, and transactions solutions and incorporate them in a pair of novel blockchains that work in tandem to securely manage all the infor ....SenShaMart: A Trusted Internet of Things Marketplace for Sensor Sharing. This project aims to devise a novel Internet of Things (IoT) sensor sharing marketplace that permits IoT applications to discover, integrate, and pay for any IoT sensor data that is made available by other parties. The project will devise highly-scalable sensor classification, query processing, and transactions solutions and incorporate them in a pair of novel blockchains that work in tandem to securely manage all the information and contracts needed by IoT applications to discover, integrate, pay, and use sensors provided by another parties. These IoT advancements will provide significant economic, environmental, and social benefits via making low-cost and immediate sensing available across the world.Read moreRead less
Precipitation in wintertime storms across southeast Australia, Tasmania and the Southern Ocean. The pristine conditions and strong wind-shear over the Southern Ocean affect the formation of precipitation in clouds over the region, which is vital to the water supply of southeastern Australia and Tasmania. This project will evaluate and improve the ability to simulate this precipitation, which will lead to better water resource management.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100030
Funder
Australian Research Council
Funding Amount
$270,000.00
Summary
Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software ....Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software control. The test bed will empower Australian researchers in network technologies and dependent applications (for example, multimedia and security) to collaboratively develop and demonstrate novel ideas at scale. This is expected to benefit Australia by giving our researchers international recognition in this nascent area, and developing a national talent pool for local industry.Read moreRead less
Democratisation of Deep Learning: Neural Architecture Search at Low Cost. The need to manually design Deep Learning-based Neural Networks (DNNs) limits their usage to AI experts and hinders the exploitation of their true potential more broadly, e.g., in farming, humanities. We aim to replace this tedious process through novel AI methods capable of generating DNNs that can perform significantly better and at a lower computational cost than manually designed DNNs. We further expand this idea to so ....Democratisation of Deep Learning: Neural Architecture Search at Low Cost. The need to manually design Deep Learning-based Neural Networks (DNNs) limits their usage to AI experts and hinders the exploitation of their true potential more broadly, e.g., in farming, humanities. We aim to replace this tedious process through novel AI methods capable of generating DNNs that can perform significantly better and at a lower computational cost than manually designed DNNs. We further expand this idea to solve complex real-world problems with both labelled and unlabelled data found in various applications including energy and climate change. The expected outcomes include the novel AI methods, highly trained AI researchers and a number of critical applications that will bring significant benefits to Australia and the world.Read moreRead less
Design and verification of correct, efficient and secure concurrent systems. This project aims to provide methods for the design and verification of correct, secure and efficient concurrent software that are scalable and mechanised. Computers with multiple processors are now the norm and are used in a wide range of safety, security and mission critical software applications such as transport, health and infrastructure. These multi-core architectures have the potential to lead to important effici ....Design and verification of correct, efficient and secure concurrent systems. This project aims to provide methods for the design and verification of correct, secure and efficient concurrent software that are scalable and mechanised. Computers with multiple processors are now the norm and are used in a wide range of safety, security and mission critical software applications such as transport, health and infrastructure. These multi-core architectures have the potential to lead to important efficiency gains, but can introduce complex and error-prone behaviours that cannot be managed using traditional software development approaches. This project will produce better, scalable and mechanised methods for the design and verification of such software which is expected to reduce the prevalence of failures in efficient, modern software.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101100
Funder
Australian Research Council
Funding Amount
$425,613.00
Summary
Towards Robotic Empathy: A human centred approach to future AI machines. The project aims to equip future robots with empathy by developing computational models which can leverage from verbal and non-verbal cues. With recent advances in artificial intelligence research, robots now have better cognitive and function skills, but they lack socio-emotional skills. Since these robots are expected to provide assistance to humans across different domains including rehabilitation, education and health c ....Towards Robotic Empathy: A human centred approach to future AI machines. The project aims to equip future robots with empathy by developing computational models which can leverage from verbal and non-verbal cues. With recent advances in artificial intelligence research, robots now have better cognitive and function skills, but they lack socio-emotional skills. Since these robots are expected to provide assistance to humans across different domains including rehabilitation, education and health care, empowering them with empathetic abilities is important for their success. The project will advance fundamental research in machine learning, affective computing and artificial intelligence to model human behavior, personality traits and emotions for an empathetic human-robot interaction.Read moreRead less