Fine-grained Human Action Recognition with Deep Graph Neural Networks. This project aims to develop novel graph neural network based deep learning algorithms for fine-grained human action recognition. This project expects to bring human action analysis to the next level and to significantly advance the analysis of subtle yet complex human actions. Expected outcomes of this project include theoretical advances on graph representation based deep learning algorithms for spatial-temporal data, and e ....Fine-grained Human Action Recognition with Deep Graph Neural Networks. This project aims to develop novel graph neural network based deep learning algorithms for fine-grained human action recognition. This project expects to bring human action analysis to the next level and to significantly advance the analysis of subtle yet complex human actions. Expected outcomes of this project include theoretical advances on graph representation based deep learning algorithms for spatial-temporal data, and enabling techniques for more objective human action analysis in many domains such as sports and health. This should provide significant benefits to any application domain involving big and complex spatial-temporal data for finer analytics and better knowledge discovery.Read moreRead less
Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutt ....Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutting-edge Blockchain based secure IoT data management and privacy-preserving smart contracts for smart farming supply-chain management. This data infrastructure will be the first of its kind which will lay a solid foundation for smart farming technology.Read moreRead less
Co-designing a resilient water-energy toolbox with Indigenous communities. The aim is to collaboratively create a toolbox of innovative, community-based approaches for water and energy management in remote Australia. This project will combine digital and cultural approaches to create a novel set of tested and evaluated tools for engaging both community and service providers in transforming water and energy use practises in remote Indigenous communities. The key output will be an empirically-test ....Co-designing a resilient water-energy toolbox with Indigenous communities. The aim is to collaboratively create a toolbox of innovative, community-based approaches for water and energy management in remote Australia. This project will combine digital and cultural approaches to create a novel set of tested and evaluated tools for engaging both community and service providers in transforming water and energy use practises in remote Indigenous communities. The key output will be an empirically-tested and user friendly water-energy toolbox tailored to reduce the currently extreme cost of supplying essential services to remote communities. Application of these outputs will significantly reduce demand on local water sources and diesel-generated energy use while creating a skill base for local employment opportunities.Read moreRead less
Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coord ....Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coordinated cyber-attacks that will potentially lead to catastrophic cascaded failures; and develop new solutions in detecting the false data-injection attacks that are conventionally considered as unobservable. This project will provide the benefit of enhancing our national critical infrastructure's security.Read moreRead less
#thismymob: Digital land rights and reconnecting Indigenous communities. This project aims to investigate how social technology can connect Indigenous communities and enhance wellbeing; design culturally appropriate and sensitive technologies that afford a safe refuge for Indigenous peoples and their communities. This project will design and evaluate a mobile app to implement a national-scale, Indigenous-led technology development project and develop a national technology research and developmen ....#thismymob: Digital land rights and reconnecting Indigenous communities. This project aims to investigate how social technology can connect Indigenous communities and enhance wellbeing; design culturally appropriate and sensitive technologies that afford a safe refuge for Indigenous peoples and their communities. This project will design and evaluate a mobile app to implement a national-scale, Indigenous-led technology development project and develop a national technology research and development framework and post-secondary Indigenous software engineering curricula. The project expects to benefit Indigenous developers, entrepreneurs and start-ups to develop, operate and own technology.Read moreRead less
Privacy-preserving Biometrics based Authentication and Security. Password based authentication systems cannot verify genuine users. Biometric authentication can address this issue. However, the booming IoT applications and cloud computing require that the biometric authentication must be conducted in the privacy-protected setting in order to comply with privacy protection legal regulations. Latest reports show that current biometric authentication systems, under protected setting, exhibit poor ....Privacy-preserving Biometrics based Authentication and Security. Password based authentication systems cannot verify genuine users. Biometric authentication can address this issue. However, the booming IoT applications and cloud computing require that the biometric authentication must be conducted in the privacy-protected setting in order to comply with privacy protection legal regulations. Latest reports show that current biometric authentication systems, under protected setting, exhibit poor authentication performance, which is not commercially applicable. This project aims to investigate innovative solutions to this issue. The intended deliverables will include deep learning based biometric feature extractor, cancellable biometrics and cloud oriented biometrics security protocols. Read moreRead less
“Beacons in the Night” unveiling how galaxies light up dark matter. How dark matter influences the formation and evolution of galaxies is to this day an outstanding question in astrophysics. To answer it, world-class facilities and a unique combination of observations and theory are required. This DP team, a world-class team of observers and theorists, will tackle this question by leveraging on two multi-million dollar projects: the MAGPI galaxy survey and the hydrodynamical simulations suite EA ....“Beacons in the Night” unveiling how galaxies light up dark matter. How dark matter influences the formation and evolution of galaxies is to this day an outstanding question in astrophysics. To answer it, world-class facilities and a unique combination of observations and theory are required. This DP team, a world-class team of observers and theorists, will tackle this question by leveraging on two multi-million dollar projects: the MAGPI galaxy survey and the hydrodynamical simulations suite EAGLE-XL. MAGPI will deliver exquisite kinematics for hundreds of galaxies in the middle ages of the Universe, providing a view to the effect of dark matter on galaxies at this critical time, while EAGLE-XL represents the technological frontier in simulations and provides the best interpretative framework for MAGPI.Read moreRead less
ARC Centre of Excellence for Engineered Quantum Systems. This Centre aims to build sophisticated quantum machines to harness the quantum world for the future health, economy, environment and security of Australian society. It intends to pioneer the designer quantum materials, engines and imaging systems at the heart of these machines. It also solves the most challenging research problems at the interface of basic quantum physics and engineering. The Centre will work with industry partners to tra ....ARC Centre of Excellence for Engineered Quantum Systems. This Centre aims to build sophisticated quantum machines to harness the quantum world for the future health, economy, environment and security of Australian society. It intends to pioneer the designer quantum materials, engines and imaging systems at the heart of these machines. It also solves the most challenging research problems at the interface of basic quantum physics and engineering. The Centre will work with industry partners to translate these research discoveries into practical applications and devices. It will train scientists in research, innovation, and entrepreneurship, which is expected to affect Australia’s high-tech economy.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC160100036
Funder
Australian Research Council
Funding Amount
$4,881,754.00
Summary
ARC Training Centre in Alloy Innovation for Mining Efficiency. ARC Training Centre in Alloy Innovation for Mining Efficiency. This centre aims to make Australian manufacturers dominant in the multi-billion dollar mining equipment sector by training innovators to design the world’s best highly customized long-life, wear resistant components. It intends to rapidly develop customized alloys that excel in severe mining conditions, using three-dimensional printing, novel characterisation and its netw ....ARC Training Centre in Alloy Innovation for Mining Efficiency. ARC Training Centre in Alloy Innovation for Mining Efficiency. This centre aims to make Australian manufacturers dominant in the multi-billion dollar mining equipment sector by training innovators to design the world’s best highly customized long-life, wear resistant components. It intends to rapidly develop customized alloys that excel in severe mining conditions, using three-dimensional printing, novel characterisation and its networked training environment. It expects these innovations will enable much needed efficiencies after the end of the mining super-cycle. Anticipated outcomes are the design of products with superior alloy design and material selection; jobs growth and security in the mining component production sector; and increased mining efficiency and cost reduction.Read moreRead less
A Machine Learning Framework for Concrete Workability Estimation . Concrete is the most used construction material in Australia. The project aims to develop a system to measure the workability of concrete in transit in agitator trucks using advanced machine vision and machine learning, and provide a reliable alternative to the current practice of visually testing concrete workability by certified testers. Concrete that fails to meet workability requirements is one of the most frequent reasons fo ....A Machine Learning Framework for Concrete Workability Estimation . Concrete is the most used construction material in Australia. The project aims to develop a system to measure the workability of concrete in transit in agitator trucks using advanced machine vision and machine learning, and provide a reliable alternative to the current practice of visually testing concrete workability by certified testers. Concrete that fails to meet workability requirements is one of the most frequent reasons for rejection at construction sites, resulting in significant costs, waste, and delays. Multimodal data sources will be used to provide a reliable workability estimate in real time, enabling construction teams to identify and rectify workability issues in transit while continuously monitoring the adjustments effects.Read moreRead less