Human-Unmanned Aerial Vehicle interactions: Making drones talk and listen. This project aims to develop audio technology to enable unmanned aerial vehicles or drones to hear, use speech and sound to communicate with humans, acoustically sense their surroundings and make them less noisy. This project expects to generate new knowledge in acoustic signal processing and its application in drones using innovative approaches, such as use of miniature microphone and loudspeaker arrays, and active noise ....Human-Unmanned Aerial Vehicle interactions: Making drones talk and listen. This project aims to develop audio technology to enable unmanned aerial vehicles or drones to hear, use speech and sound to communicate with humans, acoustically sense their surroundings and make them less noisy. This project expects to generate new knowledge in acoustic signal processing and its application in drones using innovative approaches, such as use of miniature microphone and loudspeaker arrays, and active noise control. Expected outcomes include development of new theories, Intellectual Property, with potential commercial value, and training of next generation researchers. This should provide significant benefits with applications in life saving, search and rescue operations, transportation of goods, and creation of 3D media.Read moreRead less
Ultra-reliable and low-latency mission critical communications. This project aims to develop enabling technologies for ultra-reliable and low-latency communications. While the evolution of wireless communication technologies to date has focused on data rate improvement, very little is known on how to achieve ultra-reliability and almost-zero latency which is urgently required for mission critical applications such as smart manufacturing and intelligent vehicles. The outcomes of the project will ....Ultra-reliable and low-latency mission critical communications. This project aims to develop enabling technologies for ultra-reliable and low-latency communications. While the evolution of wireless communication technologies to date has focused on data rate improvement, very little is known on how to achieve ultra-reliability and almost-zero latency which is urgently required for mission critical applications such as smart manufacturing and intelligent vehicles. The outcomes of the project will be new analytical tools and practical guidelines for designing trusted communication platforms to realise these applications, with benefits ranging from improved safety in intelligent transportation systems to digital transformation of the manufacturing industry.Read moreRead less
Privately owned public space: noise cancellation over multiple regions. This project aims to advance fundamental research in active noise control over spatial regions. It has a broad range of industry applications, such as eliminating road and engine noise for multiple passengers inside car/airplane cabins, and creating individual quiet zones in a public environment. It will focus on developing new theories and techniques to generate multiple quiet zones in indoor/outdoor noisy environments with ....Privately owned public space: noise cancellation over multiple regions. This project aims to advance fundamental research in active noise control over spatial regions. It has a broad range of industry applications, such as eliminating road and engine noise for multiple passengers inside car/airplane cabins, and creating individual quiet zones in a public environment. It will focus on developing new theories and techniques to generate multiple quiet zones in indoor/outdoor noisy environments with performance prediction, robust control, and effective implementation. In many practical applications, especially in consumer electronics and medical instruments, the creation of quiet zones is desirable so that in a shared environment people can have their own audio space without physical isolation or using headphones, creating a healthy living and working environment.Read moreRead less
Ultra-Fast and Secure Terahertz Communications for 6G Wireless Systems. This project aims to develop new theories and signal processing solutions for the cutting-edge technology of terahertz communications to enable the revolutionary sixth-generation wireless systems, by exploring and optimising the inherent benefits of the terahertz band. Anticipated outcomes are new analytical tools and practical guidelines for designing ultra-fast and secure wireless transmission at an unprecedented speed up ....Ultra-Fast and Secure Terahertz Communications for 6G Wireless Systems. This project aims to develop new theories and signal processing solutions for the cutting-edge technology of terahertz communications to enable the revolutionary sixth-generation wireless systems, by exploring and optimising the inherent benefits of the terahertz band. Anticipated outcomes are new analytical tools and practical guidelines for designing ultra-fast and secure wireless transmission at an unprecedented speed up to terabits per second (Tbps). This enables various emerging applications, such as holographic telepresence, Tbps WiFi and Tbps wireless data centres, to drive transformation in the telecommunications sector, boost industry productivity and support our intelligent information society in the 2030s.Read moreRead less
Physical Layer Security for Wireless Machine-Type Communications. This project aims to provide new understanding and design guidelines to secure wireless communications among low-cost resource-constrained devices. This is achieved by advancing the fundamental theory of an emerging security paradigm named physical layer security. Expected outcomes of this project include a communication-theoretic framework to characterise the secrecy performance of communications over wireless networks, followed ....Physical Layer Security for Wireless Machine-Type Communications. This project aims to provide new understanding and design guidelines to secure wireless communications among low-cost resource-constrained devices. This is achieved by advancing the fundamental theory of an emerging security paradigm named physical layer security. Expected outcomes of this project include a communication-theoretic framework to characterise the secrecy performance of communications over wireless networks, followed by novel signal processing and transmission designs. The research outcomes should provide innovative solutions to safeguard commercial and industry Internet of Things networks, benefiting Australia's digital transformation.Read moreRead less
Leveraging 3D computer vision for camera-based precise geo-localisation. This project aims to develop advanced 3D computer vision and image processing technology that can turn regular cameras into high-precision location-sensing devices. Spatial Location is a fundamental type of information of our physical world. Determining the precise location of people, vehicle, and mobile devices is essential for many critical applications. Outcomes of the project will enable a wide range of novel applicatio ....Leveraging 3D computer vision for camera-based precise geo-localisation. This project aims to develop advanced 3D computer vision and image processing technology that can turn regular cameras into high-precision location-sensing devices. Spatial Location is a fundamental type of information of our physical world. Determining the precise location of people, vehicle, and mobile devices is essential for many critical applications. Outcomes of the project will enable a wide range of novel applications of significant social, environmental and economic value, such as Location-Aware Service, Environment Monitoring, Augmented Reality, Autonomous Vehicle, and Rapid Emergency Response. The project will enhance Australia's international competitive advantage in forefront of ICT research and technology innovation.Read moreRead less
Automatic Training Data Search and Model Evaluation by Measuring Domain Gap. We aim to investigate computer vision training data and test data, using automatically generated data sets for facial expression recognition and object re-identification. This project expects to quantify and understand the domain gap, the distribution difference between training and test data sets. Expected outcomes of this project are insights on measuring the domain gap, the ability to estimate model performance witho ....Automatic Training Data Search and Model Evaluation by Measuring Domain Gap. We aim to investigate computer vision training data and test data, using automatically generated data sets for facial expression recognition and object re-identification. This project expects to quantify and understand the domain gap, the distribution difference between training and test data sets. Expected outcomes of this project are insights on measuring the domain gap, the ability to estimate model performance without accessing expensive test labels and improvements to system generalisation. This should provide significant benefits for computer vision applications that currently require expensive labelling, and commercial and economic benefits across sectors such as transportation, security and manufacturing.Read moreRead less
Partially Observable MDPs, Monte Carlo Methods, and Sustainable Fisheries. Partially Observable Markov Decision Processes (POMDPs) provide a general mathematical framework for sequential decision making under uncertainty. However, solving POMDPs effectively under realistic assumptions remains a challenging problem. This project aims to develop new efficient Monte Carlo algorithms to significantly advance the application of POMDPs to real-world decision problems involving complex action spaces an ....Partially Observable MDPs, Monte Carlo Methods, and Sustainable Fisheries. Partially Observable Markov Decision Processes (POMDPs) provide a general mathematical framework for sequential decision making under uncertainty. However, solving POMDPs effectively under realistic assumptions remains a challenging problem. This project aims to develop new efficient Monte Carlo algorithms to significantly advance the application of POMDPs to real-world decision problems involving complex action spaces and system dynamics. Both theoretical and algorithmic approaches will be applied to sustainable fishery management --- an important problem for Australia and an ideal context for POMDPs. The project will advance research in artificial intelligence, dynamical systems, and fishery operations, and benefit the national economy.Read moreRead less
Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global com ....Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global competitiveness. Expected outcomes of this project will help to break the communication barriers between the Deaf and hearing population. This should provide significant benefits to Deaf communities through enhanced communication and improved quality-of-life, leading to a fair, more inclusive and resilient Australian society.Read moreRead less
Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored ....Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored to individual characteristics. The success of this project could significantly advance the fundamental research in image analysis. Expected outcomes include new knowledge and algorithms for image analysis, which could benefit fields like biology and archaeology, where labeled images are hard to attain and scarce.Read moreRead less