Performative Body-Mapping (PBM) method for socialising non-humanlike robots. This project aims to transform techniques of embodiment that are central to human–robot interaction, to improve the social skills and acceptability of future robots. Robots are increasingly becoming part of our lives in the sectors of health, education, commerce and leisure. But robots’ social skills today fall far behind their functional capabilities. Performative body-mapping (PBM) aims to address this problem by inve ....Performative Body-Mapping (PBM) method for socialising non-humanlike robots. This project aims to transform techniques of embodiment that are central to human–robot interaction, to improve the social skills and acceptability of future robots. Robots are increasingly becoming part of our lives in the sectors of health, education, commerce and leisure. But robots’ social skills today fall far behind their functional capabilities. Performative body-mapping (PBM) aims to address this problem by inventing and trialling a transdisciplinary body-mapping method for socialising non-humanlike robots. Significantly, this would allow for social robots to be non-humanoid in appearance but still appealing and readable to humans, and robots to be taught to interact by using human movement expertise in an innovative, effective way.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC200100022
Funder
Australian Research Council
Funding Amount
$4,883,406.00
Summary
ARC Training Centre for Information Resilience. The proposed centre aims at building workforce capacity in Australian organisations to create, protect and sustain agile data pipelines, capable of detecting and responding to failures and risks across the information value chain in which the data is sourced, shared, transformed, analysed and consumed. Building on strong foundations of responsible data science, the centre will bring together end-users, technology providers, and cutting-edge researc ....ARC Training Centre for Information Resilience. The proposed centre aims at building workforce capacity in Australian organisations to create, protect and sustain agile data pipelines, capable of detecting and responding to failures and risks across the information value chain in which the data is sourced, shared, transformed, analysed and consumed. Building on strong foundations of responsible data science, the centre will bring together end-users, technology providers, and cutting-edge research, to lift the socio-technical barriers to data driven transformation and develop resilient data pipelines capable of delivering game-changing productivity gains that position Australian organisations at the forefront of technology leadership and value creation from data assets. Read moreRead less
Multi-resolution situation recognition for urban-aware smart assistant. This project aims to develop a situation recognition framework to recognise and anticipate unforeseen emerging situations, such as schedule changes, incidents, and disruptions in an urban environment. The project will address a significant knowledge gap by capturing and modelling unpredictability in human mobility and work routines. The outcome will be a situation recognition framework that can be applied at the individual, ....Multi-resolution situation recognition for urban-aware smart assistant. This project aims to develop a situation recognition framework to recognise and anticipate unforeseen emerging situations, such as schedule changes, incidents, and disruptions in an urban environment. The project will address a significant knowledge gap by capturing and modelling unpredictability in human mobility and work routines. The outcome will be a situation recognition framework that can be applied at the individual, social group, and urban level, and at multiple locations and time scales. This should provide users with timely notifications and recommendations to resume their activities and routines. The expected benefits will be far-ranging and adaptable to many domains, from personal smart assistants to trip planning and emergency services.Read moreRead less
Augmented Sociality: Enabling a Socialised Experience of Augmented Reality. This project will explore new socialised uses of Augmented Reality (AR) that expand creativity, social relations, and participation. We seek to better understand how AR content can be leveraged by people to create their own new ways of learning, collaborating, and relating with each other. To do so we will study and prototype new tools and platforms to allow non-experts to create their own AR media. We aim to enable peop ....Augmented Sociality: Enabling a Socialised Experience of Augmented Reality. This project will explore new socialised uses of Augmented Reality (AR) that expand creativity, social relations, and participation. We seek to better understand how AR content can be leveraged by people to create their own new ways of learning, collaborating, and relating with each other. To do so we will study and prototype new tools and platforms to allow non-experts to create their own AR media. We aim to enable people of all ages, education, and background, to imagine and create, and not just passively consume, AR contents, services, and applications. We will generate new applications of AR, a new platform to collaboratively create these applications, and a new theory of 'Augmented Sociality' to guide AR design.
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Complex quantum dynamics for technological applications. This project aims to characterise dynamics of a quantum system immersed in a complex surrounding, such as a quantum computer interacting with an environment that remembers the computer’s past. Since there are no known methods for battling the effects of the environment on the computer when they are intertwined, this project will develop tools to combat these adverse effects. The project will discover physics of complex dynamics and investi ....Complex quantum dynamics for technological applications. This project aims to characterise dynamics of a quantum system immersed in a complex surrounding, such as a quantum computer interacting with an environment that remembers the computer’s past. Since there are no known methods for battling the effects of the environment on the computer when they are intertwined, this project will develop tools to combat these adverse effects. The project will discover physics of complex dynamics and investigate unexplored physical phenomena in the laboratory, like an antenna of photosynthetic systems that use complex surroundings for efficient and fast energy transport. The project is expected to help build new and improved quantum machines.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100409
Funder
Australian Research Council
Funding Amount
$367,576.00
Summary
Knowledge, Ignorance, and Security in Higher-dimensional Quantum Systems. This project aims to provide new understanding of information and security in higher-dimensional systems, and to exploit this to deliver a secure, high-capacity, quantum image transfer protocol for quantum communication and quantum cryptography technologies. In quantum physics, the best possible knowledge of a whole does not include the best possible knowledge of the parts: not knowing any of the letters of a word does not ....Knowledge, Ignorance, and Security in Higher-dimensional Quantum Systems. This project aims to provide new understanding of information and security in higher-dimensional systems, and to exploit this to deliver a secure, high-capacity, quantum image transfer protocol for quantum communication and quantum cryptography technologies. In quantum physics, the best possible knowledge of a whole does not include the best possible knowledge of the parts: not knowing any of the letters of a word does not imply not knowing what the word is. This project aims to examine the high-dimensional transverse spatial modes of photon to show that the converse is also true: not knowing the word does not imply not knowing any of the letters. Project outcomes may have applications in remote sensing and surveillance.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100088
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Self-calibrating quantum devices. This project aims to improve control over quantum systems. It will develop self-calibrating quantum devices, the equivalent of Noise Cancelling Headphones for quantum systems. The project will create filtering protocols, suppressing characterised noise via appropriate controls. This is expected to lead to greater control over systems, demanded by quantum computers and nano devices, like next generation computer chips.
Secure quantum computing in a distributed world. This project aims to design protocols for secure cloud quantum computing, where clients can license the use of a host’s computer, while keeping their data secure from both eavesdroppers and the host. Quantum computers will transform the computational landscape of the 21st century, but will be affordable by few. Finding models for sharing quantum computing resources in a distributed environment is essential. Data security is important to clients – ....Secure quantum computing in a distributed world. This project aims to design protocols for secure cloud quantum computing, where clients can license the use of a host’s computer, while keeping their data secure from both eavesdroppers and the host. Quantum computers will transform the computational landscape of the 21st century, but will be affordable by few. Finding models for sharing quantum computing resources in a distributed environment is essential. Data security is important to clients – typical applications for quantum computing will involve commercially or strategically sensitive data. Developing these security protocols is expected to enable the commercialisation of quantum computing, enhancing their adoption and accessibility.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100964
Funder
Australian Research Council
Funding Amount
$427,068.00
Summary
Early Prediction in Large-scale Time-variant Information Networks. This project aims to develop an early prediction system to predict possible outbreaks of malicious messages in time-variant information networks. The research will primarily leverage deep representations of time-variant subsequence and substructure patterns in large-scale social networks to signal malicious and malevolent messages before it has a chance to propagate. This project will lay the theoretical foundations of this emerg ....Early Prediction in Large-scale Time-variant Information Networks. This project aims to develop an early prediction system to predict possible outbreaks of malicious messages in time-variant information networks. The research will primarily leverage deep representations of time-variant subsequence and substructure patterns in large-scale social networks to signal malicious and malevolent messages before it has a chance to propagate. This project will lay the theoretical foundations of this emerging field to strengthen Australia’s world leadership role in data science. Practically, the novel theories and data analytics technologies developed will help to safeguard Australian business, industry, and society from cyberfraud, online rumour-mongering, and financial loss.Read moreRead less
Enabling Automatic Graph Learning Pipelines with Limited Human Knowledge. This project aims to develop an automatic graph learning system for complex graph data analysis. Machine learning for graph data commonly requires significant human knowledge from both domain professionals as well as algorithm experts, rendering existing systems ineffective and unexplainable. This project expects to design novel graph learning techniques which automatically infer graph relations, learn graph models, adapts ....Enabling Automatic Graph Learning Pipelines with Limited Human Knowledge. This project aims to develop an automatic graph learning system for complex graph data analysis. Machine learning for graph data commonly requires significant human knowledge from both domain professionals as well as algorithm experts, rendering existing systems ineffective and unexplainable. This project expects to design novel graph learning techniques which automatically infer graph relations, learn graph models, adapts existing knowledge to new domains, and provide explanations to the graph learning system. The research results should provide benefit to governments and businesses in many critical applications, such as bioassay activity prediction, credit assessment, and drug discovery and vaccine development in response to the pandemic.Read moreRead less