Discovery Early Career Researcher Award - Grant ID: DE240101049
Funder
Australian Research Council
Funding Amount
$432,485.00
Summary
Modeling the Diffusion of Evolving Rumours in Social Networks. This project aims to model the complex evolution and diffusion process of evolving rumours in social media. This project expects to develop new theories and associated techniques from operational research (adaptive genetic algorithms), mathematics (network theory), and machine learning (generative adversarial networks) to tackle the challenges in this project. This project aims to develop (1) novel models for the evolution of a rumou ....Modeling the Diffusion of Evolving Rumours in Social Networks. This project aims to model the complex evolution and diffusion process of evolving rumours in social media. This project expects to develop new theories and associated techniques from operational research (adaptive genetic algorithms), mathematics (network theory), and machine learning (generative adversarial networks) to tackle the challenges in this project. This project aims to develop (1) novel models for the evolution of a rumour, (2) novel models for the diffusion of an evolving rumour, and (3) techniques for detecting the diffusion sources of the original rumour and its mutations. This not only will constitute a major advancement in the theory and application of rumour study but also lead the decision-makers in debunking rumours.Read moreRead less
Object-based motion estimation for highly efficient streaming video. This project aims to develop motion and shape estimation tools that allow video content to be predicted at any point in time using frame data that is available at other points in time. Applications of this include video coding, frame synthesis for temporal re-sampling. The project expects to develop algorithms for jointly estimating compact motion and shape descriptions of video content. These descriptions will allow quality re ....Object-based motion estimation for highly efficient streaming video. This project aims to develop motion and shape estimation tools that allow video content to be predicted at any point in time using frame data that is available at other points in time. Applications of this include video coding, frame synthesis for temporal re-sampling. The project expects to develop algorithms for jointly estimating compact motion and shape descriptions of video content. These descriptions will allow quality refinement by progressively adding spatial and temporal detail. It is expected that these compact descriptions will lead to significantly more flexible and efficient transmission of video content over modern communications networks.Read moreRead less
Optimizing Outpatient Parenteral Antibiotic Therapy To Support Hospital-in-the-home Program Across The Unique Environmental Conditions Of Australia
Funder
National Health and Medical Research Council
Funding Amount
$645,205.00
Summary
This project aims to solve problems associated with stability and dosing of antibiotic infusions given to patients in their homes, to support decision making by doctors and regulators. Currently, there is a lack of adequate data that complies with contemporary requirements. We will study infusion preparation both in laboratory settings and in ‘real-life’ conditions while being used by patients. We will enhance the stability of antibiotic preparations and optimize doses for effective treatment.
Discovery Early Career Researcher Award - Grant ID: DE180100428
Funder
Australian Research Council
Funding Amount
$378,392.00
Summary
Developing an Arab culture of investigative journalism. This project aims to critically evaluate the extent to which an Arab culture of investigative journalism could be established. Investigative journalism has critical importance to the enhancement of independent media systems, especially in restrictive media environments. Understanding that investigative journalism training and practice should lead to transparent and representative political systems, this project examines whether Western fram ....Developing an Arab culture of investigative journalism. This project aims to critically evaluate the extent to which an Arab culture of investigative journalism could be established. Investigative journalism has critical importance to the enhancement of independent media systems, especially in restrictive media environments. Understanding that investigative journalism training and practice should lead to transparent and representative political systems, this project examines whether Western frameworks are suitable for conceptualising non-Western investigative journalism cultures. It will develop a theoretical model for investigative journalism specific to the Arab world.Read moreRead less
Broadening Choice and Increasing Diversity in Public Schools. Currently, most families are limited to the public school in their catchment area, meaning the area in which they can afford to live. This leads to socio-economically and ethnically homogenous schools and entrenches disadvantage, as well as denying students the crucial life lessons that flow from being part of a diverse student body. This project aims to investigate a model for allocating public school places that integrates catchment ....Broadening Choice and Increasing Diversity in Public Schools. Currently, most families are limited to the public school in their catchment area, meaning the area in which they can afford to live. This leads to socio-economically and ethnically homogenous schools and entrenches disadvantage, as well as denying students the crucial life lessons that flow from being part of a diverse student body. This project aims to investigate a model for allocating public school places that integrates catchment areas. The expected outcome would be a system that gives families a wider choice, enabling them to enrol in out-of-area schools, while ensuring that allocations remain fair, equitable and balanced, and also delivering benefits such as achieving a desired level of diversity in student populations within schoolsRead moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100477
Funder
Australian Research Council
Funding Amount
$421,554.00
Summary
Advancing Human Perception: Countering Evolving Malicious Fake Visual Data. The aim of this project is to provide new effective and generalisable deepfake detection methods for automatically detecting maliciously manipulated visual data generated by misused artificial intelligence (AI) techniques. It will present innovative computer vision and image processing knowledge and techniques, enabling the developed methods to advance human perception in recognising fake data, enhance cybersecurity, and ....Advancing Human Perception: Countering Evolving Malicious Fake Visual Data. The aim of this project is to provide new effective and generalisable deepfake detection methods for automatically detecting maliciously manipulated visual data generated by misused artificial intelligence (AI) techniques. It will present innovative computer vision and image processing knowledge and techniques, enabling the developed methods to advance human perception in recognising fake data, enhance cybersecurity, and protect privacy in AI applications. The anticipated outcomes should provide significant benefits to a wide range of applications, such as providing timely alerts to the media, government organisations, and the industry about misleading fake visual data, and preventing financial crimes on synthetic identity fraud.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100202
Funder
Australian Research Council
Funding Amount
$409,204.00
Summary
Too quick or too slow? Unpacking digital temporalities in networked Vietnam. This project aims to study how digital media shape ordinary people’s lived experience of time in Vietnam. It investigates the hidden costs of promoting a digital future without accounting for stagnating structural reforms on the ground. Using ethnographic research, the project examines the lives of online petty traders, rideshare Grab bikers, tech developers, and residents in designated high-tech neighbourhoods to revea ....Too quick or too slow? Unpacking digital temporalities in networked Vietnam. This project aims to study how digital media shape ordinary people’s lived experience of time in Vietnam. It investigates the hidden costs of promoting a digital future without accounting for stagnating structural reforms on the ground. Using ethnographic research, the project examines the lives of online petty traders, rideshare Grab bikers, tech developers, and residents in designated high-tech neighbourhoods to reveal how fast-paced digital technologies, slow-moving infrastructural change, and indelible sociocultural histories intersect. Expected outcomes include vital new knowledge of Southeast Asian digital cultures that will benefit the sustainability of Australian aid in technological development in Southeast Asia.Read moreRead less
Securing Web-based Services by Policy Coherence and Proof-checking. This project aims to develop a provably correct cybersecurity system for workflows, which enables organizations to provide flexible and more secure web-based services and business communication. The project expects to generate new knowledge, theoretic advancement and result in new technologies in the areas of internet of things and cybersecurity. The expected outcomes include a software tool with documentation, which helps organ ....Securing Web-based Services by Policy Coherence and Proof-checking. This project aims to develop a provably correct cybersecurity system for workflows, which enables organizations to provide flexible and more secure web-based services and business communication. The project expects to generate new knowledge, theoretic advancement and result in new technologies in the areas of internet of things and cybersecurity. The expected outcomes include a software tool with documentation, which helps organisations achieve operational excellence and security, and maintain a trusted environment for end users. This system will provide significant economic and commercial benefits to business and end users with highly secured web-services and improved productivity through a coherent framework and proof-checked workflows.Read moreRead less
To map and enhance Australian musical improvisation as a creative industry. The project maps transforming improviser networks in Australian music since 1970, to inform how cultural innovation develops and disseminates. Application of new statistical techniques (temporal network analysis) will combine with in-depth focus groups to show how improvisation excellence depends on a mix of artistic craft, networked collaboration and institutional support. This knowledge will assist music venues and ind ....To map and enhance Australian musical improvisation as a creative industry. The project maps transforming improviser networks in Australian music since 1970, to inform how cultural innovation develops and disseminates. Application of new statistical techniques (temporal network analysis) will combine with in-depth focus groups to show how improvisation excellence depends on a mix of artistic craft, networked collaboration and institutional support. This knowledge will assist music venues and industry in nurturing improvisation as a cultural force and commercial opportunity for export and tourism attraction post Covid-19. The novel method, integrating computational network analysis with qualitative research, will also inform and build capacity for future understandings of cultural fields and industries.Read moreRead less
Data-driven Approach to Resilient Online Service Systems. This project aims to develop a data-driven approach to improving the resilience of online service systems. Many software systems are now provided as online services via the Internet on a 24/7 basis. Although a lot of effort has been devoted to service quality assurance, in reality, online service systems still encounter many incidents and fail to satisfy user requests. This project expects to develop innovative data-driven methods for eff ....Data-driven Approach to Resilient Online Service Systems. This project aims to develop a data-driven approach to improving the resilience of online service systems. Many software systems are now provided as online services via the Internet on a 24/7 basis. Although a lot of effort has been devoted to service quality assurance, in reality, online service systems still encounter many incidents and fail to satisfy user requests. This project expects to develop innovative data-driven methods for effective fault identification, fault localization, and failure prediction. Expected outcomes of this project include novel techniques and tools for maintaining online service systems. This project will provide significant benefits, such as improving the resilience and reliability of our cyber infrastructure.Read moreRead less