Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing ....Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing the human contact with animals are of high priority in the development of this Australian-led emerging industry. The project aims to develop technology to bring this world- first aquaculture factory to large scale production, and create new export opportunities for lobsters and production systems.Read moreRead less
Leveraging 3D computer vision for camera-based precise geo-localisation. This project aims to develop advanced 3D computer vision and image processing technology that can turn regular cameras into high-precision location-sensing devices. Spatial Location is a fundamental type of information of our physical world. Determining the precise location of people, vehicle, and mobile devices is essential for many critical applications. Outcomes of the project will enable a wide range of novel applicatio ....Leveraging 3D computer vision for camera-based precise geo-localisation. This project aims to develop advanced 3D computer vision and image processing technology that can turn regular cameras into high-precision location-sensing devices. Spatial Location is a fundamental type of information of our physical world. Determining the precise location of people, vehicle, and mobile devices is essential for many critical applications. Outcomes of the project will enable a wide range of novel applications of significant social, environmental and economic value, such as Location-Aware Service, Environment Monitoring, Augmented Reality, Autonomous Vehicle, and Rapid Emergency Response. The project will enhance Australia's international competitive advantage in forefront of ICT research and technology innovation.Read moreRead less
Partially Observable MDPs, Monte Carlo Methods, and Sustainable Fisheries. Partially Observable Markov Decision Processes (POMDPs) provide a general mathematical framework for sequential decision making under uncertainty. However, solving POMDPs effectively under realistic assumptions remains a challenging problem. This project aims to develop new efficient Monte Carlo algorithms to significantly advance the application of POMDPs to real-world decision problems involving complex action spaces an ....Partially Observable MDPs, Monte Carlo Methods, and Sustainable Fisheries. Partially Observable Markov Decision Processes (POMDPs) provide a general mathematical framework for sequential decision making under uncertainty. However, solving POMDPs effectively under realistic assumptions remains a challenging problem. This project aims to develop new efficient Monte Carlo algorithms to significantly advance the application of POMDPs to real-world decision problems involving complex action spaces and system dynamics. Both theoretical and algorithmic approaches will be applied to sustainable fishery management --- an important problem for Australia and an ideal context for POMDPs. The project will advance research in artificial intelligence, dynamical systems, and fishery operations, and benefit the national economy.Read moreRead less
Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global com ....Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global competitiveness. Expected outcomes of this project will help to break the communication barriers between the Deaf and hearing population. This should provide significant benefits to Deaf communities through enhanced communication and improved quality-of-life, leading to a fair, more inclusive and resilient Australian society.Read moreRead less
Swift heavy ion induced nano-porous antimony-based semiconductors. This project aims to study the fabrication and application of nano-porous antimony based semiconductors prepared by high-energy ion irradiation. Using a unique combination of synchrotron and laboratory- based analytical techniques as well as computer simulations, the project expects to identify the physical mechanisms for porous structure formation and exploit the materials for application in thermoelectric and thermo-photovoltai ....Swift heavy ion induced nano-porous antimony-based semiconductors. This project aims to study the fabrication and application of nano-porous antimony based semiconductors prepared by high-energy ion irradiation. Using a unique combination of synchrotron and laboratory- based analytical techniques as well as computer simulations, the project expects to identify the physical mechanisms for porous structure formation and exploit the materials for application in thermoelectric and thermo-photovoltaic devices. Expected outcomes of the project include fabrication processes compatible with current device fabrication methodologies that should enable rapid integration of the materials into advanced device applications. Significant benefits should result from novel applications of the technologies such as energy harvesting and sensor devices.Read moreRead less
Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored ....Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored to individual characteristics. The success of this project could significantly advance the fundamental research in image analysis. Expected outcomes include new knowledge and algorithms for image analysis, which could benefit fields like biology and archaeology, where labeled images are hard to attain and scarce.Read moreRead less
Integrated Planning for Uncertainty-Centric Pilot Assistance Systems. This project aims to deliver a novel pilot assistance system to improve the viability, speed and safety of Helicopter Emergency Medical Services (HEMS) and Search and Rescue (SAR) missions. It will advance fundamental algorithms for probabilistic planning in partially observable scenarios to form the core technology of a pilot assistance system that accounts the various types of uncertainty faced by pilots in a typical HEMS/S ....Integrated Planning for Uncertainty-Centric Pilot Assistance Systems. This project aims to deliver a novel pilot assistance system to improve the viability, speed and safety of Helicopter Emergency Medical Services (HEMS) and Search and Rescue (SAR) missions. It will advance fundamental algorithms for probabilistic planning in partially observable scenarios to form the core technology of a pilot assistance system that accounts the various types of uncertainty faced by pilots in a typical HEMS/SAR missions. It will exploit recent advances in Partially Observable Markov Decision Processes (POMDPs) to recommend robust, safe, and pilot-aware mission and manoeuvring strategies to make HEMS/SAR operations safer for helicopter crews, and more effective for those in need of the service.Read moreRead less
Tuning catalyst reaction environments towards photoreforming of wastewater. This project aims to combine high-throughput computation and machine learning to screen photocatalysts more thoroughly for photoreforming of wastewater. The reaction environments effects on surface active units will be tailored for COx-emission-free selective organic synthesis with hydrogen production from organic-contained wastewater at ambient conditions. The project expects to expand our knowledge on the fast, reliabl ....Tuning catalyst reaction environments towards photoreforming of wastewater. This project aims to combine high-throughput computation and machine learning to screen photocatalysts more thoroughly for photoreforming of wastewater. The reaction environments effects on surface active units will be tailored for COx-emission-free selective organic synthesis with hydrogen production from organic-contained wastewater at ambient conditions. The project expects to expand our knowledge on the fast, reliable screening strategies, and the relationship between electric field (or lattice strain) and reaction pathways. This project will develop a photoreforming system for selective co-production of organics and hydrogen from wastewater, benefiting sustainable technologies development for chemical synthesis and hydrogen economy.Read moreRead less
Porous Electromaterials for Hydrogen Production and Energy Storage. This project aims to develop nanocomposite electrodes and membranes for efficient production of renewable hydrogen and the next generation of high-energy-density battery technologies. This will be accomplished by the engineering of multi-scale porous materials with tuneable electrical, chemical and morphological properties using earth abundant elements. The intended outcome is the establishment of a scalable methodology for the ....Porous Electromaterials for Hydrogen Production and Energy Storage. This project aims to develop nanocomposite electrodes and membranes for efficient production of renewable hydrogen and the next generation of high-energy-density battery technologies. This will be accomplished by the engineering of multi-scale porous materials with tuneable electrical, chemical and morphological properties using earth abundant elements. The intended outcome is the establishment of a scalable methodology for the structuring and effective integration of microporous materials in highly conductive scaffolds, achieving superior charge and molecular transport, as well as high surface activity. Broad social and economic benefits are anticipated providing new technological solutions for renewable energy storage and fuel production.Read moreRead less
Development and investigation of functional solid-state nano-pore membranes. This project aims to develop robust membranes with molecular size pores using atomically thin layers and silicon-based materials. Using state-of-the-art characterisation techniques and computer simulations it seeks to derive a fundamental understanding of the membrane formation processes and pore properties. Expected outcomes include industrially compatible fabrication processes that should enable rapid integration of t ....Development and investigation of functional solid-state nano-pore membranes. This project aims to develop robust membranes with molecular size pores using atomically thin layers and silicon-based materials. Using state-of-the-art characterisation techniques and computer simulations it seeks to derive a fundamental understanding of the membrane formation processes and pore properties. Expected outcomes include industrially compatible fabrication processes that should enable rapid integration of the membranes into advanced device applications as well as enhancing national capabilities for materials characterisation. Significant benefits should result from novel applications of the technologies in the areas of medical- and bio-sensing, filtration, and lab-on-the-chip devices.Read moreRead less