The development of novel oligosaccharides from dairy lactose for improved infant nutrition. This project will develop new milk sugars to enhance nutrition for the 46 per cent of infants who receive formula. It will support rural and regional dairy communities and manufacturers increasing innovation, potentially generating six million dollars in new sales per annum, increasing returns to farmers and promoting regional employment and spending.
Enzymatic synthesis, microencapsulation and biological evaluation of a new class of omega-3 derived functional food ingredients. Inflammatory mediated diseases such as cardiovascular disease, type-2 diabetes, metabolic syndrome and Alzheimer's disease are major causes of death in Australia. Rates of these diseases are rising over time, partly due to poor diet including low consumption levels of healthy omega-3 fatty acids from fish. This project aims to develop healthy food ingredients from natu ....Enzymatic synthesis, microencapsulation and biological evaluation of a new class of omega-3 derived functional food ingredients. Inflammatory mediated diseases such as cardiovascular disease, type-2 diabetes, metabolic syndrome and Alzheimer's disease are major causes of death in Australia. Rates of these diseases are rising over time, partly due to poor diet including low consumption levels of healthy omega-3 fatty acids from fish. This project aims to develop healthy food ingredients from naturally occurring omega-3 fatty acid derivatives that are more stable to oxidation and more biologically active than fish derived omega-3 fatty acids. The development of these omega-3 derivatives as functional food ingredients could provide an additional strategy for helping to prevent the rapid increase in inflammatory mediated diseases in the Australian population.Read moreRead less
Engineering of anti-platelet antibodies for the diagnosis and therapy of infants with bleeding disorders. Foeto-maternal alloimmune thrombocytopenia (FMAIT) is a serious clinical condition where infants suffer potentially fatal bleeding disorders from 14 weeks gestation to 1-2 weeks post delivery. The cause of the disease is through maternal antibodies destroying foetal platelets. Our aim is to produce human antibodies, which will be used as diagnostic agents to screen for the condition in preg ....Engineering of anti-platelet antibodies for the diagnosis and therapy of infants with bleeding disorders. Foeto-maternal alloimmune thrombocytopenia (FMAIT) is a serious clinical condition where infants suffer potentially fatal bleeding disorders from 14 weeks gestation to 1-2 weeks post delivery. The cause of the disease is through maternal antibodies destroying foetal platelets. Our aim is to produce human antibodies, which will be used as diagnostic agents to screen for the condition in pregnant women, and to further develop such antibodies for therapy. Identification of mothers at risk of FMAIT and the development of a specific therapy are vital to the management and prevention of this serious condition.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
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
Industrial biotechnology for improved manufacture of medicinal alkaloids. Industrial biotechnology for improved manufacture of medicinal alkaloids. This project aims to develop a new semi-synthetic route for the manufacture of Codeine from Thebaine. Codeine is manufactured by the chemical conversion of poppy-derived Morphine, which is low yielding and environmentally unfriendly. This project will investigate and optimise two key enzymes in the biosynthetic pathway to Codeine and develop an innov ....Industrial biotechnology for improved manufacture of medicinal alkaloids. Industrial biotechnology for improved manufacture of medicinal alkaloids. This project aims to develop a new semi-synthetic route for the manufacture of Codeine from Thebaine. Codeine is manufactured by the chemical conversion of poppy-derived Morphine, which is low yielding and environmentally unfriendly. This project will investigate and optimise two key enzymes in the biosynthetic pathway to Codeine and develop an innovative bioreactor to achieve high yield. It will research industrial biotransformations, providing a greener and cheaper process for increased global access to Codeine. Australian opiate manufacturing is expected to benefit from value adding and increased flexibility introduced by a biotechnology approach.Read moreRead less
Developing Minimum Message Length and Support Vector Machine methods to predict user behaviour. Predicting and modelling customer behaviour enables considerable savings in the telecommunications industry and elsewhere. The resulting predictive models facilitate identifying novice users, identifying fraud, responding to users' needs, guiding and advising users, and forwarding useful information.
We consider two cutting-edge data mining approaches, Minimum Message Length (developed and led by ....Developing Minimum Message Length and Support Vector Machine methods to predict user behaviour. Predicting and modelling customer behaviour enables considerable savings in the telecommunications industry and elsewhere. The resulting predictive models facilitate identifying novice users, identifying fraud, responding to users' needs, guiding and advising users, and forwarding useful information.
We consider two cutting-edge data mining approaches, Minimum Message Length (developed and led by Monash) and Support Vector Machines, in order to create efficient tailor-made software.
Our software will respond to specific groups of users, and their changes over time, rather than just the average user. Moreover, it will integrate the functionalities of existing individual data mining software.Read moreRead less