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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
Novel Nanotechnology Strategies For Drug Co-delivery And Combined Therapies In The Brain
Funder
National Health and Medical Research Council
Funding Amount
$1,512,250.00
Summary
Key challenges for treating brain diseases include effective delivery of drugs into the brain and targeted delivery to pathogenic areas. I have developed two world-first drug delivery systems that address these challenges. This project will expand their loading and brain delivery capability to deliver a broad range of novel multiple therapeutics to target sites in the brain. Human brain disease models will be used for systematic preclinical evaluation of novel delivery systems and therapeutics.
A Long-Lasting Oral Drug Delivery System Using Spiky Silica Nanoparticles
Funder
National Health and Medical Research Council
Funding Amount
$645,205.00
Summary
This project aims to develop a novel silica nanoparticle-based delivery system for long-lasting oral drug delivery. The particles will be engineered with a spiky morphology that will increase adhesion to the gastrointestinal tract enabling sustained drug release for days or even weeks. Longer lasting oral drug formulations would make it much easier for patients to adhere to the treatment schedules required in chronic diseases like HIV and increase the effectiveness of therapy.
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
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
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