Discovery Early Career Researcher Award - Grant ID: DE220100055
Funder
Australian Research Council
Funding Amount
$451,415.00
Summary
Impact of seaweed polyphenols on gut health: Gut microbiome modulation. This project aims to understand the true impact of seaweed polyphenols on the gut microbiome and develop methods to improve their bioavailability, bioaccessibility and bioactivities in the gut. The project's use of cutting-edge analytical tools helps to investigate the movement and absorption of phenolic compounds across the gut. This project expects to explore new knowledge in the area of marine-based functional foods and t ....Impact of seaweed polyphenols on gut health: Gut microbiome modulation. This project aims to understand the true impact of seaweed polyphenols on the gut microbiome and develop methods to improve their bioavailability, bioaccessibility and bioactivities in the gut. The project's use of cutting-edge analytical tools helps to investigate the movement and absorption of phenolic compounds across the gut. This project expects to explore new knowledge in the area of marine-based functional foods and their health benefits using an innovative interdisciplinary approach. The success of this project will ultimately provide a new pathway for the development of functional foods that will help to improve the health status of Australians by consuming healthy food ingredients.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100064
Funder
Australian Research Council
Funding Amount
$422,022.00
Summary
Fair and Transparent Information Access in Spoken Conversational Assistants. This project aims to investigate how rich information needed to answer complex questions can be delivered via a speech-only communication channel. Using laboratory user studies, where users can interact with a smart speaker to ask for information about controversial or multi-perspective topics, the project expects to advance knowledge on how to expose pertinent information without creating or reinforcing biases. Expecte ....Fair and Transparent Information Access in Spoken Conversational Assistants. This project aims to investigate how rich information needed to answer complex questions can be delivered via a speech-only communication channel. Using laboratory user studies, where users can interact with a smart speaker to ask for information about controversial or multi-perspective topics, the project expects to advance knowledge on how to expose pertinent information without creating or reinforcing biases. Expected outcomes include novel presentation strategies to access rich information via audio in a fair manner. This should significantly benefit the visually impaired and low-literacy communities by enhancing their access to topics with multiple point of views, which would impact decision making such as who to vote for in elections.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180101579
Funder
Australian Research Council
Funding Amount
$346,446.00
Summary
Searching when the stakes are high: better health decisions from search engines. This project aims to help people make better health decisions from search engines by improving the information that search queries return. Google is utilised by 80 per cent of Australians to search health symptoms, despite evidence showing that many often find incorrect and unreliable health information. This project expects to provide new understanding about why and how people fail to find useful health information ....Searching when the stakes are high: better health decisions from search engines. This project aims to help people make better health decisions from search engines by improving the information that search queries return. Google is utilised by 80 per cent of Australians to search health symptoms, despite evidence showing that many often find incorrect and unreliable health information. This project expects to provide new understanding about why and how people fail to find useful health information. Expected outcomes of this project include new models and methods for evaluating high-stakes search and new search technologies to help people find and recognise high quality information to make better health decisions. This should provide significant benefits to Australian health consumers and the healthcare system.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100509
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Effective Recommendation for Web of Things. This project seeks to generate novel techniques for the efficient recommendation of things by the smart use of information generated from the ‘Internet of things’. The ‘Internet of things’ will connect billions of physical things over the web, which will offer exciting capabilities to improve the quality of human lives. This project focuses on effective recommendation of things of interest, and aims to develop new techniques and a set of software tools ....Effective Recommendation for Web of Things. This project seeks to generate novel techniques for the efficient recommendation of things by the smart use of information generated from the ‘Internet of things’. The ‘Internet of things’ will connect billions of physical things over the web, which will offer exciting capabilities to improve the quality of human lives. This project focuses on effective recommendation of things of interest, and aims to develop new techniques and a set of software tools for effectively and proactively discovering and recommending things. The result of this project may underpin applications (eg smart cities) that will contribute to Australian society and the national economy.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100251
Funder
Australian Research Council
Funding Amount
$368,446.00
Summary
Trust-aware internet of things service recommendation. This project aims to develop innovative techniques and tools to recommend Internet of Things resources as services for trustworthy and cost-effective applications. Internet of Things connects billions of physical things over the Web, offering exciting opportunities to improve life quality and reshape human society. The project is expected to underpin innovative applications like smart home, urban computing, and mobile social sensing, which c ....Trust-aware internet of things service recommendation. This project aims to develop innovative techniques and tools to recommend Internet of Things resources as services for trustworthy and cost-effective applications. Internet of Things connects billions of physical things over the Web, offering exciting opportunities to improve life quality and reshape human society. The project is expected to underpin innovative applications like smart home, urban computing, and mobile social sensing, which can significantly contribute to Australian society and the national economy. It also holds the potential to place Australia at the forefront of research and development in the vibrant and growing area of trustworthy Internet of Things.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100275
Funder
Australian Research Council
Funding Amount
$392,979.00
Summary
Beyond keyword search for ranked document retrieval. This project will develop novel approaches to efficient and effective ranked text retrieval using a new class of rank-aware algorithms derived from self-indexes. These algorithms can support complex statistical calculations on the fly. Efficient algorithm design for big data is an increasingly important problem as energy costs continue to soar and can now exceed hardware costs for big data consumers such as Google. In this project, two importa ....Beyond keyword search for ranked document retrieval. This project will develop novel approaches to efficient and effective ranked text retrieval using a new class of rank-aware algorithms derived from self-indexes. These algorithms can support complex statistical calculations on the fly. Efficient algorithm design for big data is an increasingly important problem as energy costs continue to soar and can now exceed hardware costs for big data consumers such as Google. In this project, two important problems in web search are explored: real-time indexing and long-form query answering. Using self-index algorithms, this project presents a road map to move beyond simple keyword-based ranked document retrieval, thus allowing us to efficiently meet more demanding information needs of users in the next decade.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100068
Funder
Australian Research Council
Funding Amount
$390,000.00
Summary
Bioinspired liposome-based smart sensors. This project aims to develop a liposome-based biosensor technology that mimics cell sensory systems. Selective detection of compounds is increasingly important for food, health and environmental monitoring. Biosensor development faces long-standing challenges such as response time, sensitivity, specificity, and multiplexing. On the other hand, cells can sense and discriminate multiple biomolecules in seconds with high sensitivity and specificity. This pr ....Bioinspired liposome-based smart sensors. This project aims to develop a liposome-based biosensor technology that mimics cell sensory systems. Selective detection of compounds is increasingly important for food, health and environmental monitoring. Biosensor development faces long-standing challenges such as response time, sensitivity, specificity, and multiplexing. On the other hand, cells can sense and discriminate multiple biomolecules in seconds with high sensitivity and specificity. This project aims to harness cells’ exquisite biological properties to improve current detection techniques. It will integrate liposome-based sensors with microfluidics to perform analytical tasks ranging from food safety to diagnostics.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230101116
Funder
Australian Research Council
Funding Amount
$420,000.00
Summary
Detecting Key Concepts from Low-Quality Data for Better Decision. The project aims to develop data analytics techniques that aid better decision making in high-stake scenarios when data are less-trustable. While data-aided decision making has been widely used, less-trustable data may significantly distort the decisions made and hurt people impacted by these decisions. The outcome of this project expects to be a series of techniques covering data understanding and enhancement, model development a ....Detecting Key Concepts from Low-Quality Data for Better Decision. The project aims to develop data analytics techniques that aid better decision making in high-stake scenarios when data are less-trustable. While data-aided decision making has been widely used, less-trustable data may significantly distort the decisions made and hurt people impacted by these decisions. The outcome of this project expects to be a series of techniques covering data understanding and enhancement, model development and fitting, and novelty detection, to reduce the damage of less-trustable data. The research expects to benefit the people and companies impacted by data-aided decision making in cybersecurity, healthcare and financial fraud detection, providing risk-control services.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101439
Funder
Australian Research Council
Funding Amount
$418,998.00
Summary
Towards a Reliable and Explainable Health Monitoring and Caring System. This project aims to unleash the power of deep learning on health monitoring and caring domain through a safe, reliable and explainable way. Its innovations lie on 1) developing a set of robust and explainable deep learning models that are guaranteed to be safe to complex environmental uncertainty; 2) designing an intelligent health monitoring and caring platform, powered by robust deep learning models, to better support the ....Towards a Reliable and Explainable Health Monitoring and Caring System. This project aims to unleash the power of deep learning on health monitoring and caring domain through a safe, reliable and explainable way. Its innovations lie on 1) developing a set of robust and explainable deep learning models that are guaranteed to be safe to complex environmental uncertainty; 2) designing an intelligent health monitoring and caring platform, powered by robust deep learning models, to better support the home-based health monitoring and caring for the elderly. The result will enable end-users to trust the decisions of deep learning models in safety-critical systems and significantly contribute to Australian aging society and national healthcare economy.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100700
Funder
Australian Research Council
Funding Amount
$429,449.00
Summary
A novel bacterial secretion system for applications in nanobiotechnology. This project aims to characterise a new molecular machine, called the S-Pump. Molecular machines drive the complex biology in all cells and are an exciting area of translational research, with broad potential for industrial applications. This project expects to provide fundamental insights into how bacterial S-Pumps contribute to antimicrobial resistance and enhancing food production. Expected outcomes include new tools fo ....A novel bacterial secretion system for applications in nanobiotechnology. This project aims to characterise a new molecular machine, called the S-Pump. Molecular machines drive the complex biology in all cells and are an exciting area of translational research, with broad potential for industrial applications. This project expects to provide fundamental insights into how bacterial S-Pumps contribute to antimicrobial resistance and enhancing food production. Expected outcomes include new tools for molecular machine discovery and identification of ways to adapt molecular machines for biotechnological applications. This work should enhance Australia-UK ties through collaboration, provide benefits toward nanobiotechnology and economic benefits through more efficient food production.Read moreRead less