SENSORS FOR AROMATIC MOLECULES BASED ON METAL ION ACTIVATED MOLECULAR RECEPTORS. This project aims to develop highly sensitive chemical sensors for aromatic compounds which will quantify their concentration, in situ, without elaborate sample preparation or instrumentation. The sensors will employ advanced supramolecular chemistry in which the aromatic molecule becomes trapped within a binding cavity in the three dimensional structure of a larger receptor molecule. Coincident with the entrapmen ....SENSORS FOR AROMATIC MOLECULES BASED ON METAL ION ACTIVATED MOLECULAR RECEPTORS. This project aims to develop highly sensitive chemical sensors for aromatic compounds which will quantify their concentration, in situ, without elaborate sample preparation or instrumentation. The sensors will employ advanced supramolecular chemistry in which the aromatic molecule becomes trapped within a binding cavity in the three dimensional structure of a larger receptor molecule. Coincident with the entrapment a change in the fluorescence level of the receptor occurs which signals the presence of the aromatic compound and its concentration. This research will stimulate economic and social benefits through the development of new environmental and medical sensing techniques and analytical diagnostics.Read moreRead less
Embracing Changes for Responsive Video-sharing Services. Video-sharing platforms are a critical information channel for the public. Increasing scale and shifts in user base, with Generation Z now as the dominant user, have resulted in an unprecedented amount of ubiquitous changes in the content and users of these platforms which greatly challenges the responsiveness and quality of the services provided. This project aims to design innovative algorithms to effectively predict and leverage changes ....Embracing Changes for Responsive Video-sharing Services. Video-sharing platforms are a critical information channel for the public. Increasing scale and shifts in user base, with Generation Z now as the dominant user, have resulted in an unprecedented amount of ubiquitous changes in the content and users of these platforms which greatly challenges the responsiveness and quality of the services provided. This project aims to design innovative algorithms to effectively predict and leverage changes, optimise the value of changes, and extract insights from changes for diverse downstream applications of video-sharing platforms. The expected outcomes will create new-generation representation learning techniques, and provide practical tools to amplify the socioeconomic values of video-sharing platforms.Read moreRead less
Differential Evolution Framework for Intelligent Charging Scheduling. Smart charging scheduling is a vital challenge as dynamic environment with traffic networks and various unexpected issues. This project aims to develop a differential evolution framework for intelligent charging scheduling. The framework consists of a comprehensive charging scheduling model with various road networks and factors. The project outcomes include a distributed evolutionary computation framework, differential evolut ....Differential Evolution Framework for Intelligent Charging Scheduling. Smart charging scheduling is a vital challenge as dynamic environment with traffic networks and various unexpected issues. This project aims to develop a differential evolution framework for intelligent charging scheduling. The framework consists of a comprehensive charging scheduling model with various road networks and factors. The project outcomes include a distributed evolutionary computation framework, differential evolution algorithms, and cooperative co-evolutionary strategies. The outcome results will be demonstrated by practical evaluations over public datasets and comparisons to related works. The project is beneficial to the nation in both theory of artificial intelligence techniques and applications of real transport systems.Read moreRead less
Multimodal biomedical imaging probes: development of advanced polymer nanocomposite devices for oncology. Despite significant research being directed toward cancer treatment, 7.6 million people died world wide in 2007. Early detection and treatment is widely recognised as being effective in significantly reducing mortality rates. Biomedical imaging techniques are routinely used for detection and staging of many cancers. However, greater sensitivity is required so that these techniques can be app ....Multimodal biomedical imaging probes: development of advanced polymer nanocomposite devices for oncology. Despite significant research being directed toward cancer treatment, 7.6 million people died world wide in 2007. Early detection and treatment is widely recognised as being effective in significantly reducing mortality rates. Biomedical imaging techniques are routinely used for detection and staging of many cancers. However, greater sensitivity is required so that these techniques can be applied to very early detection of tumours. To overcome this short-coming the next generation of imaging probes will be developed, which will require fundamental investigations in polymer and nanomaterials science to maximise imaging sensitivity and extend probe functionality. Successful outcomes will lead to significant benefits to healthcare in Australia.Read moreRead less
Probing the function of protein molecular motors on nano-fabricated structures. The function of protein linear molecular motors, which are natural dynamic bio-nano-devices with a ubiquitous importance in multicellular organisms, will be 'probed' with purposefully designed nano-structures fabricated via photo- or Scanning Probe Microscopy Lithography, that is, flat polymeric surfaces with combinatorial combinations of physico-chemistries; and micro/nano-channels and nano-wells with critical dimen ....Probing the function of protein molecular motors on nano-fabricated structures. The function of protein linear molecular motors, which are natural dynamic bio-nano-devices with a ubiquitous importance in multicellular organisms, will be 'probed' with purposefully designed nano-structures fabricated via photo- or Scanning Probe Microscopy Lithography, that is, flat polymeric surfaces with combinatorial combinations of physico-chemistries; and micro/nano-channels and nano-wells with critical dimensions similar to the scale of the probed biomolecules. The project turns 'up-side down' the challenge of invasive nano-probing of biomolecules using it in an engineered manner. The fundamental understanding of linear molecular motors will impact on biomedical science and on the assessment of hybrid natural-artificial dynamic nano-devices.Read moreRead less
Towards Generalisable and Unbiased Dynamic Recommender Systems. This project aims to develop the foundations, including models, methodology, and algorithms for building generalisable and unbiased dynamic recommender systems to facilitate intelligent decision-making, prompt contextualised and personalised strategic plans, and support context-aware action recourse. To ensure that fundamental principles, such as fairness and transparency, are respected, a set of algorithms and techniques are propos ....Towards Generalisable and Unbiased Dynamic Recommender Systems. This project aims to develop the foundations, including models, methodology, and algorithms for building generalisable and unbiased dynamic recommender systems to facilitate intelligent decision-making, prompt contextualised and personalised strategic plans, and support context-aware action recourse. To ensure that fundamental principles, such as fairness and transparency, are respected, a set of algorithms and techniques are proposed to develop recommender systems in a more responsible manner. The result of this project will not only maintain Australia's leadership in this frontier research area, but also serve as an excellent vehicle for the education and training of Australia's next generation of scholars and engineers.Read moreRead less
Efficient and effective methods for classifying massive time series data. This project aims to transform the theory and practice of time series classification. The current state of the art cannot handle the massive numbers of time series that describe many critical problems facing humanity, such as disease transmission and climate change. This project seeks to develop methods that can analyse dynamic processes at global scale, delivering the most accurate classifiers feasible within a given comp ....Efficient and effective methods for classifying massive time series data. This project aims to transform the theory and practice of time series classification. The current state of the art cannot handle the massive numbers of time series that describe many critical problems facing humanity, such as disease transmission and climate change. This project seeks to develop methods that can analyse dynamic processes at global scale, delivering the most accurate classifiers feasible within a given computational budget. Expected outcomes of this project include efficient, effective and broadly applicable time series classification technologies. This should provide significant benefits to myriad sectors, transforming data science for time series problems and supporting innovation in industry, commerce and government.Read moreRead less
A multi-metal ion sensor for analysis of environmental water. The aim of this research project is to develop an electrochemical sensor array on a single chip for the detection of several heavy metals in wastewater samples. Each electrode in the array will be modified with a different metal-binding peptide ligand; resulting in a characteristic response pattern for a given metal ion. Deconvolution of the sensor response into the response patterns of the individual metals will be achieved using p ....A multi-metal ion sensor for analysis of environmental water. The aim of this research project is to develop an electrochemical sensor array on a single chip for the detection of several heavy metals in wastewater samples. Each electrode in the array will be modified with a different metal-binding peptide ligand; resulting in a characteristic response pattern for a given metal ion. Deconvolution of the sensor response into the response patterns of the individual metals will be achieved using pattern recognition software employing artificial neural networks and other multivariate techniques. Successful development of the multi-analyte sensor will allow the rapid monitoring of environmentally important metal ions in the field.Read moreRead less
Fast effective clustering technologies for highly dynamic massive networks. Clustering is a fundamental data mining and analysis task. In an interconnected evolving world, friendships and information flows are modelled as large dynamic networks. Structural clustering and correlation clustering are important and well-studied approaches for static networks; for evolving networks, where links appear and disappear over time, we lack efficient techniques. Anticipated outcomes are new practical cluste ....Fast effective clustering technologies for highly dynamic massive networks. Clustering is a fundamental data mining and analysis task. In an interconnected evolving world, friendships and information flows are modelled as large dynamic networks. Structural clustering and correlation clustering are important and well-studied approaches for static networks; for evolving networks, where links appear and disappear over time, we lack efficient techniques. Anticipated outcomes are new practical clustering algorithms for dynamic networks – with performance guarantees of efficiency and clustering quality – and prototype software, guiding us to pick a good clustering. Expected benefits include better understanding of spread in evolving social networks, accelerating the software testing cycle, and improved topic detection.Read moreRead less
Development of stable, patterned Self-Assembled Monolayers on carbon for sensors and other nanotechnology applications. Nanotechnology - science at the scale of a billionth of a metre - rests on our ability to manipulate molecules and to build structures that will be part of useful devices. We shall develop new methods to put that chemistry on carbon surfaces - leading to very stable and cheap devices that will have 'real world' applications in environmental monitoring. A 'bottom up' method of f ....Development of stable, patterned Self-Assembled Monolayers on carbon for sensors and other nanotechnology applications. Nanotechnology - science at the scale of a billionth of a metre - rests on our ability to manipulate molecules and to build structures that will be part of useful devices. We shall develop new methods to put that chemistry on carbon surfaces - leading to very stable and cheap devices that will have 'real world' applications in environmental monitoring. A 'bottom up' method of fabrication exploits the ability of similar molecules to line up on a suitable surface, so-called 'self Assembly'. The project is based on sound fundamental science for an applied research outcome and therefore will enhance Australian's standing as a strong scientific country that applies its knowledge at the forefront of technological advancement.Read moreRead less