Trust-Oriented Data Analytics in Online Social Networks. Trust-oriented data analytics is essential in online social networks for reducing deceitful interactions and enhancing trust between users. This project aims to systematically devise innovative solutions by considering rich social contextual information as an important source of trust. The expected outcomes of this project include innovative solutions from a fundamental perspective to the challenges of context-aware trust propagation, trus ....Trust-Oriented Data Analytics in Online Social Networks. Trust-oriented data analytics is essential in online social networks for reducing deceitful interactions and enhancing trust between users. This project aims to systematically devise innovative solutions by considering rich social contextual information as an important source of trust. The expected outcomes of this project include innovative solutions from a fundamental perspective to the challenges of context-aware trust propagation, trust network searching/matching, and trustworthy/malicious user prediction in online social networks. This project is significant as it will advance the knowledge base for enabling a trustworthy social networking environment, benefiting billions of Australian and worldwide online social network users.Read moreRead less
The Effects Of Estrogen-Responsive B Box Protein On Retinoid Sensitivity In Cancer And Its Significance In Development
Funder
National Health and Medical Research Council
Funding Amount
$82,421.00
Summary
Although effective, many cancer drugs often lead to side effects, especially in children. New therapies are needed that specifically target cancer cells while leaving normal cells unaffected. I am studying a novel protein (EBBP) which I believe has an important role in cancer cell growth. By studying EBBP I aim to be able to increase the effectiveness of the low toxic chemotherapy retinoic acid without increased side effects, as well as understand the functional role of EBBP in cancer cells.
Big temporal graph processing in the Cloud. This project aims to develop efficient and scalable algorithms to process big temporal graphs in the Cloud. In particular, we will investigate three most representative types of queries over big temporal graphs including vertex-based queries, path-based queries, and subgraph-based queries. Expected outcomes of this project include theoretical foundations and scalable algorithms to process big temporal graphs as well as a system prototype for evaluation ....Big temporal graph processing in the Cloud. This project aims to develop efficient and scalable algorithms to process big temporal graphs in the Cloud. In particular, we will investigate three most representative types of queries over big temporal graphs including vertex-based queries, path-based queries, and subgraph-based queries. Expected outcomes of this project include theoretical foundations and scalable algorithms to process big temporal graphs as well as a system prototype for evaluation and to demonstrate the practical value. Success in this project should see significant benefits for many important applications such as cybersecurity, e-commerce, health and road networks.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100668
Funder
Australian Research Council
Funding Amount
$435,000.00
Summary
Towards Processing of Big Streaming Temporal Graphs. This project aims to develop efficient and scalable algorithms to process big streaming temporal graphs, which is in high demand for many data-intensive applications such as cybersecurity, crime monitoring, and e-marketing. In particular, I will investigate three most representative types of queries including vertex-based queries, path-based queries, and subgraph-based queries. Expected outcomes of this project include theoretical foundations ....Towards Processing of Big Streaming Temporal Graphs. This project aims to develop efficient and scalable algorithms to process big streaming temporal graphs, which is in high demand for many data-intensive applications such as cybersecurity, crime monitoring, and e-marketing. In particular, I will investigate three most representative types of queries including vertex-based queries, path-based queries, and subgraph-based queries. Expected outcomes of this project include theoretical foundations and scalable algorithms to process big streaming temporal graphs as well as a system prototype for evaluation and to demonstrate the practical value. Success in this project should see significant benefits for many important applications such as cybersecurity, e-commerce, health and social analysis.Read moreRead less
Next-Generation Distributed Graph Engine for Big Graphs. This project aims to develop an efficient and scalable distributed graph engine to process big graphs. In particular, we will investigate the foundations for the distributed real-time graph engine, focusing on graph storage and graph operators, and then provide solutions for a set of representative graph mining and query processing tasks. Expected outcomes of this project include theoretical foundations and a scalable real-time graph engin ....Next-Generation Distributed Graph Engine for Big Graphs. This project aims to develop an efficient and scalable distributed graph engine to process big graphs. In particular, we will investigate the foundations for the distributed real-time graph engine, focusing on graph storage and graph operators, and then provide solutions for a set of representative graph mining and query processing tasks. Expected outcomes of this project include theoretical foundations and a scalable real-time graph engine to process big graphs as well as a system prototype for evaluation and to demonstrate the practical value. Success in this project should see significant benefits for many important applications such as cybersecurity, e-commerce, health and road networks.Read moreRead less
Single-cell Optical Window Imaging In CDK1-FRET Biosensor Mice To Assess Tissue Stiffness And Optimise Delivery And Therapeutic Response To Gemcitabine/Abraxane In Pancreatic Cancer.
Funder
National Health and Medical Research Council
Funding Amount
$676,979.00
Summary
Inefficient drug response in solid tumour tissue is commonly a limiting factor in the clinical effectiveness of cancer therapies. Using cutting-edge imaging technology and 3D models that mimic the disease, we have mapped areas of poor drug response within distinct regions of tumours. Here, we pinpoint and specifically target key factors limiting efficient drug targeting in order to improve the encouraging anti-cancer profile of the new drug combination Gemcitabine/Abraxane in pancreatic cancer.
Biosensor Imaging In Preclinical Pancreatic Cancer Targeting: Taking Cancer Targeting To New Dimensions.
Funder
National Health and Medical Research Council
Funding Amount
$640,210.00
Summary
Using cutting-edge imaging technology and 3D models that mimic cancer, we can map areas of poor drug response within distinct 'stages' or regions of tumours. Here, we pinpoint and specifically target key factors limiting efficient drug response in order to improve the encouraging anti-cancer profile of new or current drugs in pancreatic cancer.
Helping Central Banks Measure Unobserved Variables Using Real-time Forecasts. The project addresses structural measurement problems confronted routinely by central bankers. The techniques developed, and the estimates provided, will aid directly the Partner Organisations (the Reserve Bank of Australia, the Reserve Bank of New Zealand and Norges Bank) and other central banks in formulating monetary policy. The analysis will allow interest rates in Australia and elsewhere to be set with greater pre ....Helping Central Banks Measure Unobserved Variables Using Real-time Forecasts. The project addresses structural measurement problems confronted routinely by central bankers. The techniques developed, and the estimates provided, will aid directly the Partner Organisations (the Reserve Bank of Australia, the Reserve Bank of New Zealand and Norges Bank) and other central banks in formulating monetary policy. The analysis will allow interest rates in Australia and elsewhere to be set with greater precision. The techniques developed in this project will facilitate the understanding and communication of monetary policy within the central banks concerned, and enhance communication of monetary policy strategy to the public.Read moreRead less
Therapeutic Targeting Of Cell Cycle Checkpoint Aberrations In Pancreatic Cancer: Personalised Medicine In Action
Funder
National Health and Medical Research Council
Funding Amount
$634,354.00
Summary
Less than 5% of people with pancreatic cancer (PC) survive 5 years, and the odds of patients beating this disease have remained unchanged for 50 years. Consequently, there is an urgent need to develop novel treatment approaches for this highly aggressive cancer. Our study aims to define novel therapeutic strategies for PC utilising specific anti-proliferative therapies and a personalised “companion biomarker” directed strategy.