Understanding Universal Immunity To Influenza Viruses
Funder
National Health and Medical Research Council
Funding Amount
$687,975.00
Summary
A/Prof Kedzierska’s work combines cutting-edge basic research with unique clinical studies to define how to generate protective immunity against the pandemic and newly emerged influenza viruses. This research will identify key factors that drive the severe and fatal influenza disease in high-risk groups, including the young, elderly, pregnant women and Indigenous Austraians. Findings on the optimal human immunity to influenza viruses will be applicable to other infectious diseases and cancers.
A computational theory of strategic deception. This artificial project aims to develop a theory of strategic deception and test it through an Artificial Intelligence model. The project will combine computational Theory-of-Mind concepts with recent scientific findings to allow us to better understand whether and how intelligent technologies of the future might deceive humans. The findings will provide new insights into how Artificial Intelligence technologies of the future will impact applied are ....A computational theory of strategic deception. This artificial project aims to develop a theory of strategic deception and test it through an Artificial Intelligence model. The project will combine computational Theory-of-Mind concepts with recent scientific findings to allow us to better understand whether and how intelligent technologies of the future might deceive humans. The findings will provide new insights into how Artificial Intelligence technologies of the future will impact applied areas of computing, where simulating advanced forms of social behaviour and cognition, including deception, will become increasingly significant.Read moreRead less
Active Visual Navigation in an Unexplored Environment. This project will develop a new method for robotic navigation in which goals can be specified at a much higher level of abstraction than has previously been possible. This will be achieved using deep learning to make informed predictions about a scene layout, and navigating as an active observer in which the predictions informs actions. The outcome will be robotic agents capable of effective and efficient navigation and operation in previous ....Active Visual Navigation in an Unexplored Environment. This project will develop a new method for robotic navigation in which goals can be specified at a much higher level of abstraction than has previously been possible. This will be achieved using deep learning to make informed predictions about a scene layout, and navigating as an active observer in which the predictions informs actions. The outcome will be robotic agents capable of effective and efficient navigation and operation in previously unseen environments, and the ability to control such agents with more human-like instructions. Such capabilities are desirable, and in some cases essential, for autonomous robots in a variety of important application areas including automated warehousing and high-level control of autonomous vehicles. Read moreRead less
Consumer-centric Adaptive Quality-assured Cloud Services Brokerage. This project aims to create a consumer-centric brokerage solution for managing cloud service provision. This aims to ensure consumers can receive cloud services that best satisfy their quality requirements in the most cost-effective manner in the presence of constant changes in performance and cost of cloud services available from different cloud providers. The intended outcome is a novel cloud brokerage framework and the associ ....Consumer-centric Adaptive Quality-assured Cloud Services Brokerage. This project aims to create a consumer-centric brokerage solution for managing cloud service provision. This aims to ensure consumers can receive cloud services that best satisfy their quality requirements in the most cost-effective manner in the presence of constant changes in performance and cost of cloud services available from different cloud providers. The intended outcome is a novel cloud brokerage framework and the associated mechanisms for proactive identification, prevention and mediation of cloud service-level agreement violation in the best interest of the cloud users. The findings of the project will support enterprises across Australian economy in shifting from traditional IT systems to the ubiquitous cloud computing that has already been recognised as a core enabling IT technology in addressing the societal challenge of lifting productivity and economic growth in a rapidly changing world economy.Read moreRead less
The Molecular Basis Of Bacterial Infectious Diseases
Funder
National Health and Medical Research Council
Funding Amount
$16,230,996.00
Summary
Bacterial infectious diseases are a serious threat to human health, accounting for over 10 million deaths each year. This multidisciplinary collaborative team is investigating the complex interactions between major disease-causing bacteria and their human hosts, in order to determine how they cause disease. These studies will make a major contribution to fundamental knowledge in this field. This information is also essential for the development of cheaper and more effective vaccines, as well as ....Bacterial infectious diseases are a serious threat to human health, accounting for over 10 million deaths each year. This multidisciplinary collaborative team is investigating the complex interactions between major disease-causing bacteria and their human hosts, in order to determine how they cause disease. These studies will make a major contribution to fundamental knowledge in this field. This information is also essential for the development of cheaper and more effective vaccines, as well as novel drugs. These are urgently needed to reduce death and illness due to bacterial infectious diseases in the 21st century. 11Read moreRead less
Integrating Immunity And Genetics In Follicular Lymphoma To Establish A Prognostic Score Fit For The Modern Era
Funder
National Health and Medical Research Council
Funding Amount
$1,377,174.00
Summary
Follicular lymphoma (FL) is divided into early and advanced stages. Early stage FL is frequently cured, but there is no way to identify who will be cured and who won't. By contrast advanced stage FL is incurable. Our unique access to well-annotated clinical trial and population based cohorts allows us to perform a detailed biological comparison of early and advanced FL, to gain a deeper understanding of the impediments to eradicating the disease, and to predict outcome to conventional therapy.
Decision making for lifetime affordable and tenable city housing. This project will study home buying decisions and outcomes and use this to provide new insights into housing affordability and liveability. The project will develop an innovative software tool for Australia's home buyers to explore affordability and liveability during home buying, and agent-based modelling of scenarios for urban development futures.
Enabling small businesses to more cost-effectively use big data on cloud computing platforms. This project will invent a new generic cost model for managing big data in cloud computing. This model will enable agent-based, innovative data management technologies to reduce the cost of storage, computation and bandwidth consumption in the cloud. Outcomes will enable small businesses to use big data in cloud computing more cost effectively.
THE IMMUNOLOGICAL LEGACY OF OBESITY ON VIRAL PATHOGENESIS
Funder
National Health and Medical Research Council
Funding Amount
$652,275.00
Summary
Obesity is a key risk factor for severe viral infections. Our preliminary data suggest that in mice this susceptibility is not reduced by weight loss. In this grant we will investigate a) the mechanisms driving the legacy effect of obesity on antiviral immunity b) whether or not we can reverse this legacy effect by treatment with the drug MCC950 and c) the antiviral response of overweight children and adults who have and haven't recently lost weight.