Control, estimation and nanopositioning for high-throughput probe-storage. Probe-storage is a new technology for storing digital information as tiny indentations on a storage medium. It offers the highest data storage density compared with alternative technologies. This project aims to develop methods and the underpinning theory to realise a new probe-storage memory that is much faster and can store data at much higher rates.
Quantized identification of feedback control systems. The theory of system identification with quantified data underpins frontier technologies that enable more efficient and sustainable telecommunications, automotive and biomedical industry. This project extends the fundamental framework of quantified system identification. The work will enhance Australia's international standing in the control field.
Decentralisation and robustness for practical control of complex systems. This project aims to develop the theory and tools to address the control of complex interconnected systems. There is currently an enormous disconnect in decentralised control between the celebrated theoretical advances and the concepts that are used for implementation, or even for computation. The project expects to isolate the key reasons for this disconnect and develop ways to address the control of complex interconnecte ....Decentralisation and robustness for practical control of complex systems. This project aims to develop the theory and tools to address the control of complex interconnected systems. There is currently an enormous disconnect in decentralised control between the celebrated theoretical advances and the concepts that are used for implementation, or even for computation. The project expects to isolate the key reasons for this disconnect and develop ways to address the control of complex interconnected systems. The expected outcome is a tool which can observe information from only a small portion of a network but which may ultimately effect a large portion of the network. This includes smart building management, multi-vehicle systems and convoys, irrigation networks, large array telescopes, and the power distribution grid.Read moreRead less
Robust learning of dynamic systems. Robots and other autonomous machines use models of the real world to predict the result of their actions and make decisions, but existing methods used for machine-learning are unreliable in many cases and can be easily fooled. This project aims to make machine-learning of dynamic system models reliable, accurate, and secure. The outcomes of this project will be new models and algorithms that ensure safety and increase accuracy of models learned from data. This ....Robust learning of dynamic systems. Robots and other autonomous machines use models of the real world to predict the result of their actions and make decisions, but existing methods used for machine-learning are unreliable in many cases and can be easily fooled. This project aims to make machine-learning of dynamic system models reliable, accurate, and secure. The outcomes of this project will be new models and algorithms that ensure safety and increase accuracy of models learned from data. This project will benefit robotics, control engineering, infrastructure automation, and other fields that demand the capability to model physical systems from limited data. It will also improve cybersecurity by making learning algorithms resilient to deliberate attacks with false data.Read moreRead less
Optimal control with decentralised information. This project will deliver optimisation-based tools to underpin systematic engineering approaches to the management of complex and networked systems arising in diverse areas. Optimal control for achieving guaranteed behaviour finds application in transport, resource management and distribution, telecommunications, and robotics and automation.
Haptic realisation of visual art for the blind and visually impaired. This research proposes a first-of-its-kind technological platform providing the blind and visually impaired with the ability to physically 'feel' the visual information contained within 2D visual art. Aside from facilitating equity and access to the visual arts, the ability for the blind and visually impaired to perceive the visual information contained within generic 2D images offers wider reaching benefits. The realisation o ....Haptic realisation of visual art for the blind and visually impaired. This research proposes a first-of-its-kind technological platform providing the blind and visually impaired with the ability to physically 'feel' the visual information contained within 2D visual art. Aside from facilitating equity and access to the visual arts, the ability for the blind and visually impaired to perceive the visual information contained within generic 2D images offers wider reaching benefits. The realisation of the proposed technological platform offers the radical potential to revolutionise the available technologies for assisting the blind and visually impaired. The realisation of this technological capability also offers the potential to introduce a new dimension to the communication mediums used within wider society.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL110100281
Funder
Australian Research Council
Funding Amount
$2,777,066.00
Summary
Large-scale statistical machine learning. This research program aims to develop the science behind statistical decision problems as varied as web retrieval, genomic data analysis and financial portfolio optimisation. Advances will have a very significant practical impact in the many areas of science and technology that need to make sense of large, complex data streams.
Discovery Early Career Researcher Award - Grant ID: DE150101365
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
In-person tele-presence through hybrid camera networks. This project aims to develop novel theories and algorithms for live capturing of accurate dense 3D models of moving subjects based on hybrid camera networks. The latter consist of a mix of static external red, green, blue plus depth (RGB-D) cameras and a dynamic head-mounted regular camera. The scientific novelties will be dense, non-rigid, and collaborative structure-from-motion theories that maximise the exploitation of such hybrid inform ....In-person tele-presence through hybrid camera networks. This project aims to develop novel theories and algorithms for live capturing of accurate dense 3D models of moving subjects based on hybrid camera networks. The latter consist of a mix of static external red, green, blue plus depth (RGB-D) cameras and a dynamic head-mounted regular camera. The scientific novelties will be dense, non-rigid, and collaborative structure-from-motion theories that maximise the exploitation of such hybrid information, for instance by utilising exact head-pose information. The outcome is a working prototype producing live full-body animations, thus leveraging new applications in the Information Technology industry. Highly strategically relevant examples are given by 3D tele-presence, enhanced tele-operation, robotics, and intelligent transportation systems.Read moreRead less
Communication networks for smart electricity grids. A smart grid will improve the efficiency of EnergyAustralia's electricity grid by minimizing cost and greenhouse gas emissions. A smart grid architecture will be researched and developed by using advanced communications and control engineering techniques offering significant economic, industrial, social and environmental benefits to Australia.
Distributed signal processing and control in sensor networks. Distributed sensor networks find wide applications in smart electricity grids, traffic systems, industrial plants and security systems. Massive amounts of data need be collected, transmitted and processed. This project aims to develop advanced techniques for the monitoring, diagnosis and control for these networks.