Nanoengineered, Encapsulated Catalysts from Fly Ash Waste. This project aims to deliver advanced catalysts and novel catalyst synthesis methods from the use of iron-rich fly ash, an otherwise abundant valueless waste with projected steady growth across Australia and globally. The as-synthesised catalysts are expected to be applicable to and exhibit excellent activity in the production of green hydrogen and renewable bio-fuels from lignocellulosic waste. These efforts are significant and benefici ....Nanoengineered, Encapsulated Catalysts from Fly Ash Waste. This project aims to deliver advanced catalysts and novel catalyst synthesis methods from the use of iron-rich fly ash, an otherwise abundant valueless waste with projected steady growth across Australia and globally. The as-synthesised catalysts are expected to be applicable to and exhibit excellent activity in the production of green hydrogen and renewable bio-fuels from lignocellulosic waste. These efforts are significant and beneficial in restoring the manufacturing capability of Australian industry, driving Australian industry towards the development of a circular economy for the appropriate management of solid waste, as well as for a seamless introduction of renewable and clean energy sources to address the pressing climate change.Read moreRead less
In-situ catalytic upgrading of bio-oil using scrap tyre char. This project aims to develop advanced, cost-competitive catalysts based on scrap tyre char, an otherwise low-value by-product. These catalysts will be optimised for use in upgrading bio-oil derived from the pyrolysis of woody eucalyptus, an abundant biomass resource across Australia. The project is expected to promote the commercialisation of bio-oil production and enhance the valorisation of scrap tyre char. This is expected to reduc ....In-situ catalytic upgrading of bio-oil using scrap tyre char. This project aims to develop advanced, cost-competitive catalysts based on scrap tyre char, an otherwise low-value by-product. These catalysts will be optimised for use in upgrading bio-oil derived from the pyrolysis of woody eucalyptus, an abundant biomass resource across Australia. The project is expected to promote the commercialisation of bio-oil production and enhance the valorisation of scrap tyre char. This is expected to reduce the carbon footprint from Australian industry, and promote the recycling and reuse of waste scrap tyres.Read moreRead less
Developing eucalypt plantations for pharmaceutical flavanone production. The project aims to produce the tools and knowledge required to establish plantations of mallee eucalypts for the production of pinocembrin and structurally related flavanones. This is important because these flavanones have been shown to have a range of medicinal applications, including treatment of diseases of the central nervous system. The research plans to focus on producing and establishing trees with improved flavano ....Developing eucalypt plantations for pharmaceutical flavanone production. The project aims to produce the tools and knowledge required to establish plantations of mallee eucalypts for the production of pinocembrin and structurally related flavanones. This is important because these flavanones have been shown to have a range of medicinal applications, including treatment of diseases of the central nervous system. The research plans to focus on producing and establishing trees with improved flavanone content and growth rates, and on understanding the biochemical mechanisms that underlie flavanone production and structural modification. Expected outcomes include supporting the development of profitable plantations in rural Australia and the establishment of plantations more widely in southern Australia, especially on marginal land.Read moreRead less
Adding value to blue mallee plantations. The project aims to develop the tools and knowledge required for establishing and enhancing the profitability of plantations of blue mallee (Eucalyptus polybractea). This is important because mallees have considerable potential for sustainable essential oil and biomass production in low rainfall regions, and they can sequester considerable amounts of carbon in their below-ground parts. The project intends to produce trees with improved oil quality and yie ....Adding value to blue mallee plantations. The project aims to develop the tools and knowledge required for establishing and enhancing the profitability of plantations of blue mallee (Eucalyptus polybractea). This is important because mallees have considerable potential for sustainable essential oil and biomass production in low rainfall regions, and they can sequester considerable amounts of carbon in their below-ground parts. The project intends to produce trees with improved oil quality and yields through chromosome doubling and breeding, and to dissect the mechanisms that underpin essential oil production through the production of mutants and studies of the main monoterpene producing enzyme.Read moreRead less
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
Vision Model Based Perceptual Digital Video Coding. Digital video coding and compression is an enabling technology and has diversified applications in audiovisual communications, multimedia computing, digital television broadcast and electronic entertainment industries. The project aims at spearheading research in theory, techniques and implementation of perceptual video coding in order to achieve constant and guaranteed quality in visual communications and services. It will explore a new appr ....Vision Model Based Perceptual Digital Video Coding. Digital video coding and compression is an enabling technology and has diversified applications in audiovisual communications, multimedia computing, digital television broadcast and electronic entertainment industries. The project aims at spearheading research in theory, techniques and implementation of perceptual video coding in order to achieve constant and guaranteed quality in visual communications and services. It will explore a new approach to digital video coding other than the constant bit rate coding techniques which have dominated digital video research for the past four decades. It will form a part of the theoretical foundation and principles for the next generation video coding and compression techniques, and may lead to new standards and practice.Read moreRead less
Biosolid flow, separation and activity in anaerobic lagoons. This project aims to develop a fundamental model of the complex, non-steady state flow behaviour in anaerobic lagoons. The project will develop new operating procedures and designs for large municipal, industrial and agricultural anaerobic lagoons. This will improve the efficiency of anaerobic digestion and reduce wastewater treatment costs, as well as increase renewable and sustainable biogas production. The intended outcome is a va ....Biosolid flow, separation and activity in anaerobic lagoons. This project aims to develop a fundamental model of the complex, non-steady state flow behaviour in anaerobic lagoons. The project will develop new operating procedures and designs for large municipal, industrial and agricultural anaerobic lagoons. This will improve the efficiency of anaerobic digestion and reduce wastewater treatment costs, as well as increase renewable and sustainable biogas production. The intended outcome is a validated 3D model that captures the physical and biological complexities of anaerobic lagoons. This will impact the design and operation of partner organisation lagoons, reducing capital and operating costs and improving biogas production.Read moreRead less
Dynamic Scheduling and Stochastic Control for Sensor Networks. Sensor networks are rapidly becoming important in applications from environmental monitoring, navigation to border surveillance. However, due to bandwidth constraints, even very simple networks have proven to be very complex to properly control. It is now necessary to efficiently allocate the 'limited available bandwidth' to sensors in order to share the most valuable data over the network. Therefore, this project proposes new techn ....Dynamic Scheduling and Stochastic Control for Sensor Networks. Sensor networks are rapidly becoming important in applications from environmental monitoring, navigation to border surveillance. However, due to bandwidth constraints, even very simple networks have proven to be very complex to properly control. It is now necessary to efficiently allocate the 'limited available bandwidth' to sensors in order to share the most valuable data over the network. Therefore, this project proposes new techniques using concepts of dynamic sensor scheduling and stochastic control to provide computationally feasible and near optimal solutions to the limited and varying bandwidth problem. This work will greatly enhance the operational performance of distributed sensor networks.Read moreRead less
Sentiment detection from opinion surveys -- the quest for customer and employee satisfaction. The research will yield improved international standing through scientific advances disseminated through high impact refereed publications and open source software. The advances made through the application of sophisticated probabilistic techniques to Language Technology problems will attract post-graduate students, and promote commercial interest. The demonstration prototype will provide proof of conce ....Sentiment detection from opinion surveys -- the quest for customer and employee satisfaction. The research will yield improved international standing through scientific advances disseminated through high impact refereed publications and open source software. The advances made through the application of sophisticated probabilistic techniques to Language Technology problems will attract post-graduate students, and promote commercial interest. The demonstration prototype will provide proof of concept of an application that enables business intelligence to automatically process free-form feedback from customers and employees, with resultant recommendations leading to increased customer and employee satisfaction. The applicability of the outcomes of this research to service industries will further improve Australia's service reputation.Read moreRead less
Deja-Vu -- A mechanism for constructing dialogue memory for resource-bounded agents. The ability to provide contextual information during interactions with computer systems has great potential to improve the overall experience for users. We propose to develop such an ability in the form of an automatically generated, continuously updated ``dialogue memory'', which may reside at server sites or in the PDAs of individual users. This memory will be generated by means of a novel approach which combi ....Deja-Vu -- A mechanism for constructing dialogue memory for resource-bounded agents. The ability to provide contextual information during interactions with computer systems has great potential to improve the overall experience for users. We propose to develop such an ability in the form of an automatically generated, continuously updated ``dialogue memory'', which may reside at server sites or in the PDAs of individual users. This memory will be generated by means of a novel approach which combines Natural Language techniques to extract dialogue features, model-selection techniques to cluster related dialogues, and cognitive modeling techniques to prune the resultant memories. The implemented computer system will be tested in the domain of trouble-shooting dialogues.Read moreRead less