Efficient ionic liquid-based reduction of nitrogen to ammonia. This project aims to develop a hybrid ionic liquid-nanostructured electrode platform to electrochemically convert nitrogen gas to ammonia. Ammonia production, mostly for fertilisers, consumes more than 1% of the global energy supply and contributes 1.6 % of global carbon dioxide emissions. A process that could convert nitrogen to ammonia using renewable energy would be an important alternative approach. This project will develop a pl ....Efficient ionic liquid-based reduction of nitrogen to ammonia. This project aims to develop a hybrid ionic liquid-nanostructured electrode platform to electrochemically convert nitrogen gas to ammonia. Ammonia production, mostly for fertilisers, consumes more than 1% of the global energy supply and contributes 1.6 % of global carbon dioxide emissions. A process that could convert nitrogen to ammonia using renewable energy would be an important alternative approach. This project will develop a platform for electrochemical conversion of nitrogen gas to ammonia and optimise it for use with surplus renewable energy supplies. The project is expected to contribute to mitigation of greenhouse emissions and create a technology for distributed production of ammonia and ammonium fertilisers.Read moreRead less
Kruppel-like factors and the methylome. This project aims to test the hypothesis that the KLF/SP family of transcription factors work in part via dynamic interactions with methylated cytosine nucleotides in DNA. This is fundamental to their function as pioneer factors in reprograming and their ability to co-ordinate differentiation and organogenesis. Conversely, dynamic changes in methylation status engage or disengage new regulatory elements in the genome via recruitment of KLF/SP family protei ....Kruppel-like factors and the methylome. This project aims to test the hypothesis that the KLF/SP family of transcription factors work in part via dynamic interactions with methylated cytosine nucleotides in DNA. This is fundamental to their function as pioneer factors in reprograming and their ability to co-ordinate differentiation and organogenesis. Conversely, dynamic changes in methylation status engage or disengage new regulatory elements in the genome via recruitment of KLF/SP family proteins as specific effectors. This project will address a new paradigm in genetics that is likely to underpin development.Read moreRead less
Controlling the adhesome to regulate cell fate on biomaterials. Mesenchymal stem cell-based tissue engineering practices are hampered worldwide by the lack of appreciation and understanding of the matrix-mediated cues that must be provided during adhesion and spreading to drive cells to definitive tissue end points. This project will address these knowledge deficiencies by combining high throughput array technologies, a set of tailorable self-assembling biomaterials and real-time biosensors to r ....Controlling the adhesome to regulate cell fate on biomaterials. Mesenchymal stem cell-based tissue engineering practices are hampered worldwide by the lack of appreciation and understanding of the matrix-mediated cues that must be provided during adhesion and spreading to drive cells to definitive tissue end points. This project will address these knowledge deficiencies by combining high throughput array technologies, a set of tailorable self-assembling biomaterials and real-time biosensors to rapidly, at high resolution, elucidate how mechanotransductive cues determine the fate choice of mesenchymal stem cells, and furthermore, how to manipulate them with smart biomaterial design to achieve desired outcomes for tissue engineering. Read moreRead less
Combating Fake News on Social Media: From Early Detection to Intervention. The project aims to detect fake news early to minimise the negative impact of false information. This project expects to devise novel solutions to address technical challenges for detection of fake news with scarce signals. Expected outcomes of this project include a suite of data mining and machine learning models for identification of fake news from the social media stream, prediction of user propagation of false infor ....Combating Fake News on Social Media: From Early Detection to Intervention. The project aims to detect fake news early to minimise the negative impact of false information. This project expects to devise novel solutions to address technical challenges for detection of fake news with scarce signals. Expected outcomes of this project include a suite of data mining and machine learning models for identification of fake news from the social media stream, prediction of user propagation of false information as well as recommendation of truthful news to counteract adversarial fake news. This project should generate technologies that enhance the integrity of the online echo system and benefit media providers and online population within Australia and across the world. Read moreRead less
Next Generation Spatial Data Management for Virtual Spatial Systems. This project aims to design novel spatial data retrieval methods for efficient and accurate querying of large datasets with location information. Spatial data is being generated at an unprecedented rate due to the prevalence of mobile devices and ubiquitous connectivity. However, harnessing this data is hampered by outdated and inefficient methods. The project will investigate data retrieval methods that self-optimise for high ....Next Generation Spatial Data Management for Virtual Spatial Systems. This project aims to design novel spatial data retrieval methods for efficient and accurate querying of large datasets with location information. Spatial data is being generated at an unprecedented rate due to the prevalence of mobile devices and ubiquitous connectivity. However, harnessing this data is hampered by outdated and inefficient methods. The project will investigate data retrieval methods that self-optimise for high query efficiency and accuracy, by utilising underlying real-world data patterns. It will enable novel applications for virtual spatial systems with large-scale querying needs, such as spatial digital twins and metaverses, benefiting location-based service providers, urban planners, and emergency management agencies.Read moreRead less
Privacy-preserving online user matching. This project aims to develop efficient techniques to preserve the privacy of users of online matching websites used for finding employment, friends and partners. The project expects to generate new knowledge in privacy preserving user matching with multiple servers. The expected outcomes are new techniques that can find matching users without revealing their interests to the matching server and a prototype based on these techniques. This should alleviate ....Privacy-preserving online user matching. This project aims to develop efficient techniques to preserve the privacy of users of online matching websites used for finding employment, friends and partners. The project expects to generate new knowledge in privacy preserving user matching with multiple servers. The expected outcomes are new techniques that can find matching users without revealing their interests to the matching server and a prototype based on these techniques. This should alleviate the privacy concerns of people using online tools that require providing personal information.Read moreRead less
Shifting the trend in radical battery research . The project aims to address a growing problem of increasing energy consumption by storing intermittent energy from the sun in affordable and efficient flow batteries. The project expects to generate new knowledge in the areas of materials science and battery research by using innovative theoretical chemistry approaches to studying electrochemical properties of nitroxide radicals in ionic media. The project aims to develop radical organic flow batt ....Shifting the trend in radical battery research . The project aims to address a growing problem of increasing energy consumption by storing intermittent energy from the sun in affordable and efficient flow batteries. The project expects to generate new knowledge in the areas of materials science and battery research by using innovative theoretical chemistry approaches to studying electrochemical properties of nitroxide radicals in ionic media. The project aims to develop radical organic flow batteries by utilising ionic liquids to stabilise radicals. Intended outcomes of the project include improved efficiency of flow batteries that can store energy from widely used solar panels. This should provide significant benefits to Australia’s effort to switch to renewable energy technologies. Read moreRead less
Data structures which change with time, a machine learning approach. Visibility of web pages, based on page importance, on the Internet controls their accessibility by users which is critical for e-Commerce applications. The page importance depends on its contents and its link structure to other web pages, both of which can be time varying. This project proposes a novel model in which time varying aspects of the changes to contents and their link structures are captured, thus allowing us a bette ....Data structures which change with time, a machine learning approach. Visibility of web pages, based on page importance, on the Internet controls their accessibility by users which is critical for e-Commerce applications. The page importance depends on its contents and its link structure to other web pages, both of which can be time varying. This project proposes a novel model in which time varying aspects of the changes to contents and their link structures are captured, thus allowing us a better understanding of how these influence the page importance over time. It will also allow us insight on how to improve the visibility of web pages.Read moreRead less
Next-generation search on social networks. This project aims to design effective and intelligent search techniques for large scale social network data. The project expects to advance existing social network search systems in utilizing the geographical locations of queries and social network data to provide more relevant results, acknowledging and handling inherent uncertainties in the data, and exploiting knowledge graphs to produce intelligent search results. Expected outcomes of this project i ....Next-generation search on social networks. This project aims to design effective and intelligent search techniques for large scale social network data. The project expects to advance existing social network search systems in utilizing the geographical locations of queries and social network data to provide more relevant results, acknowledging and handling inherent uncertainties in the data, and exploiting knowledge graphs to produce intelligent search results. Expected outcomes of this project include a next-generation social network search system. The success of this project will support and enhance a wide range of applications such as law enforcement, health, national security, marketing, and advertisement.Read moreRead less
Information practices in non-profits: Knowledge management & technology use. This project aims to study the potential for nonprofit organisations (NPOs) to adopt low-cost tools (eg social media) for knowledge sharing. It plans to use an innovative qualitative design combining expertise in knowledge management, information behaviour and web usability to explore how NPOs manage knowledge to support their mission as they adopt emerging technologies. In an increasingly competitive environment, NPOs ....Information practices in non-profits: Knowledge management & technology use. This project aims to study the potential for nonprofit organisations (NPOs) to adopt low-cost tools (eg social media) for knowledge sharing. It plans to use an innovative qualitative design combining expertise in knowledge management, information behaviour and web usability to explore how NPOs manage knowledge to support their mission as they adopt emerging technologies. In an increasingly competitive environment, NPOs must maximise productivity by using low-cost, appropriate technologies. Results may inform the design of new tools and staff training to support NPOs’ goals.Read moreRead less