I am a molecular virologist researching the host response to hepatitis C virus (HCV) infection with the aim of understanding how the liver clears HCV infection. An understanding of this process will hopefully lead to novel antiviral strategies to combat not only HCV but a broad range of other viral infections.
Added depth: automated high level image interpretation. Humans are very good at understanding the world through imagery, but computers lack this fundamental capacity because they lack experience of what they might see. This project will provide this experience by combining the large volumes of imagery on the Internet with three dimensional information generated by humans for other purposes.
A Pragmatic Randomised Clinical Trial Of Nicotine Vaporisers Added To Smoking Cessation Treatment For Priority Populations Living With Comorbidities
Funder
National Health and Medical Research Council
Funding Amount
$1,499,145.00
Summary
Smoking is a leading cause of early death for people with certain health conditions because they are more likely to smoke and are also at greater risk of tobacco-related disease. This clinical trial will test whether encouraging people living with Hepatitis C Virus, people on opiate substitution therapy and people living with HIV who smoke to use nicotine vaporisers long-term, in addition to current smoking cessation treatments, will help them to stay abstinent from smoking.
Imaging The Hepatitis C Virus Life Cycle In Real-time
Funder
National Health and Medical Research Council
Funding Amount
$477,504.00
Summary
Hepatitis C virus (HCV) is a serious viral pathogen that causes significant liver disease. This proposal plans to examine how two proteins from the HCV, core and NS5A, interact with host proteins and pathways to facilitate viral replication and release of HCV; two processes that are poorly understood. Specifically we will tag viral proteins to allow us to investigate the HCV life cycle in living cells and determine the role of core and NS5A in facilitating HCV replication. This proposal may unco ....Hepatitis C virus (HCV) is a serious viral pathogen that causes significant liver disease. This proposal plans to examine how two proteins from the HCV, core and NS5A, interact with host proteins and pathways to facilitate viral replication and release of HCV; two processes that are poorly understood. Specifically we will tag viral proteins to allow us to investigate the HCV life cycle in living cells and determine the role of core and NS5A in facilitating HCV replication. This proposal may uncover novel therapeutic strategies to combat HCV.Read moreRead less
Privacy-Preserving Classification for Big-Data Driven Network Traffic. Protecting sensitive information in large network traffic flows while ensuring data usability for classification emerges as a critical problem of increasing significance. Existing techniques do not work on highly heterogeneous traffic from big-data applications for both privacy protection and classification (such as port-based and load- based methods). This project investigates new theories, methods and techniques for solving ....Privacy-Preserving Classification for Big-Data Driven Network Traffic. Protecting sensitive information in large network traffic flows while ensuring data usability for classification emerges as a critical problem of increasing significance. Existing techniques do not work on highly heterogeneous traffic from big-data applications for both privacy protection and classification (such as port-based and load- based methods). This project investigates new theories, methods and techniques for solving this problem. It proposes to develop a set of effective methods for privacy-preserving data publication through combining randomisation with anonymisation, and for classifying the published data through uncertainty leveraging by probabilistic reasoning and accuracy lifting by inter-flow correlation analysis and active learning.Read moreRead less
Visual tracking with environmental constraints. By incorporating high level scene understanding into visual tracking, this project will improve the capacity to monitor and analyse complex patterns of activity in video. This has many applications in public safety and security, but the project will demonstrate it on the challenging task of tracking players during an Australian Football League (AFL) game to gather statistics on their performance.
Techniques for active conceptual modelling and guided data mining for rapid knowledge discovery. Quick, accurate responses to rapidly evolving phenomena are essential. This project will develop a platform able to accept data from a variety of sources in advance of the full definition of the associated conceptual model. The project will facilitate rapid querying and direct manipulation of the mining process allowing fast, user-oriented results.
Discovery Early Career Researcher Award - Grant ID: DE180100950
Funder
Australian Research Council
Funding Amount
$368,446.00
Summary
Building intelligence into online video services by learning user interests. This project aims to build an intelligent video streaming service by characterising users’ view interest patterns and predict user interest changes through learning data from Internet to address the challenge caused by astronomic video population. The outcomes of the project will be of great values for users and our society by intelligently filtering out valueless, harmful, illegal and unwanted videos in advance.
Discovery Early Career Researcher Award - Grant ID: DE130101775
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Distributed large-scale optimisation methods in computer vision. With the number of images and video available over the internet reaching billions and growing, the need for new tools for handling and interpreting such huge amounts of data is quickly becoming apparent. This project will focus on developing new optimisation methods for efficiently computing solutions for a broad class of large-scale problems.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100158
Funder
Australian Research Council
Funding Amount
$348,026.00
Summary
A large-scale distributed experimental facility for the internet of things. This project aims to establish a large-scale, real-world experimental facility for the Internet of Things (IoT), which is currently missing in Australia, as well as in the rest of the world. The project is expected to be an essential instrument to achieve Australia’s leadership on key enabling technologies of the IoT, and to provide Australian research community with a unique platform for large-scale experimentation and ....A large-scale distributed experimental facility for the internet of things. This project aims to establish a large-scale, real-world experimental facility for the Internet of Things (IoT), which is currently missing in Australia, as well as in the rest of the world. The project is expected to be an essential instrument to achieve Australia’s leadership on key enabling technologies of the IoT, and to provide Australian research community with a unique platform for large-scale experimentation and evaluation of IoT technologies and services. The project will also serve as a vehicle for the education and training of Australia’s next generation of scholars and engineers, and contribute to Australia’s scientific visibility.Read moreRead less