The Australian Research Data Commons (ARDC) invites you to participate in a short survey about your
interaction with the ARDC and use of our national research infrastructure and services. The survey will take
approximately 5 minutes and is anonymous. It’s open to anyone who uses our digital research infrastructure
services including Reasearch Link Australia.
We will use the information you provide to improve the national research infrastructure and services we
deliver and to report on user satisfaction to the Australian Government’s National Collaborative Research
Infrastructure Strategy (NCRIS) program.
Please take a few minutes to provide your input. The survey closes COB Friday 29 May 2026.
Complete the 5 min survey now by clicking on the link below.
The trailblazing women and the law project. The trailblazing women and the law project will create, showcase and analyse the first publicly accessible, national, oral history of seven decades of Australia’s pioneer women lawyers contributing to the fields of gender, oral history, biography, law, citizenship, social networks, cultural informatics, ePublication and women’s history archiving.
New high-performance iterative error correction codes. This project develops new error correction codes to underpin the success of next-generation communications technologies. The nature of the project presents significant potential for project outcomes to be beneficial to the Australian telecommunications industry in a wide range of application areas from optical communication to digital broadcasting.
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
Non-contact Integrity Assessment of Façade Panels of High-rise Buildings. Disintegration of the external façade (with tiles, plates, etc.) of high-rise buildings presents a great challenge and a threat to community. This project develops fundamental knowledge and algorithms that underpin the deployment of a new technique for fast and automated quantitative integrity assessment of façade units of high-rise buildings, integrating mechanisms of directional acoustic waves, vibro-acoustics of façade ....Non-contact Integrity Assessment of Façade Panels of High-rise Buildings. Disintegration of the external façade (with tiles, plates, etc.) of high-rise buildings presents a great challenge and a threat to community. This project develops fundamental knowledge and algorithms that underpin the deployment of a new technique for fast and automated quantitative integrity assessment of façade units of high-rise buildings, integrating mechanisms of directional acoustic waves, vibro-acoustics of façade tiles or panels, laser sensing technology, deep learning algorithms and drone technology. Outcomes of this project are critical for implementing the new technology for enhanced safety to community and the development of new procedures for driving down maintenance costs of the external façade of high-rise buildings.Read moreRead less
Spectrum after Scarcity: Rethinking Radiofrequency Management. Radiofrequency spectrum is the critical input that enables wireless communication. Existing spectrum management tools were constructed to deal with scarcity. This project aims to reconceptualise spectrum management as technological developments reduce scarcity. In four overlapping stages, an international research team aims to investigate the regulatory implications of emerging technologies that share spectrum; conduct fifteen case s ....Spectrum after Scarcity: Rethinking Radiofrequency Management. Radiofrequency spectrum is the critical input that enables wireless communication. Existing spectrum management tools were constructed to deal with scarcity. This project aims to reconceptualise spectrum management as technological developments reduce scarcity. In four overlapping stages, an international research team aims to investigate the regulatory implications of emerging technologies that share spectrum; conduct fifteen case studies of spectrum 'refarming' around the world over the last two decades, including secondary trading, public reallocations and renewals; explore models for dynamic integration of spectrum sharing and refarming; and publish an accessible intellectual history of a unique resource.Read moreRead less
Intelligent Virtual Human Companions. This research aims to develop intelligent virtual human companions that can seemingly integrate our immediate physical environment and understand their surroundings including people’s emotions, behaviours, actions and interactions. Such a technology will be enabled by leveraging recent advances in mixed/augmented reality technologies, and by developing innovative artificial intelligence and computer vision and graphics algorithms for dynamic real-world envir ....Intelligent Virtual Human Companions. This research aims to develop intelligent virtual human companions that can seemingly integrate our immediate physical environment and understand their surroundings including people’s emotions, behaviours, actions and interactions. Such a technology will be enabled by leveraging recent advances in mixed/augmented reality technologies, and by developing innovative artificial intelligence and computer vision and graphics algorithms for dynamic real-world environments. Unlike robots, the proposed technology will be low cost, readily deployable and customisable, and will not have any physical limitations or maintenance requirements. It will thus have a wide range of applications from elderly care, healthcare care to educational training.Read moreRead less
Optical phased array for space debris tracking and manoeuvring. Space junk in low Earth orbit is increasing at an alarming rate, jeopardising our access to critical navigation, communications, weather and natural disaster warning services. This project will prevent collisions of debris with satellites by developing a new laser system called an optical phased array to track and remotely manoeuvre space debris.
An assessment of the fundamental size limits for planar antennas using unconstrained optimisation methods. Portable wireless devices can be reduced in size and battery demands through best practice antenna design. The absolute size limits recently developed for ideal structures will be tested against real printed antenna structures using powerful computational tools and experimental demonstration for sensor networks in health care applications.
Advanced three-dimensional Computer Vision Algorithms for 'Find and Grasp' Future Robots. This project addresses crucial limitations of existing vision systems for the robot grasping of irregular objects in messy living environments. This project aims to undertake fundamental research into novel three-dimensional vision algorithms, exploiting multiple modalities (two-dimensional+three-dimensional+video) for scene labelling, object classification, scene segmentation and grasp synthesis to enable ....Advanced three-dimensional Computer Vision Algorithms for 'Find and Grasp' Future Robots. This project addresses crucial limitations of existing vision systems for the robot grasping of irregular objects in messy living environments. This project aims to undertake fundamental research into novel three-dimensional vision algorithms, exploiting multiple modalities (two-dimensional+three-dimensional+video) for scene labelling, object classification, scene segmentation and grasp synthesis to enable future robots to operate in unstructured environments with highly occluded and cluttered objects. It is expected to significantly advance research and to have broad applications, including home robotics to improve the quality of life of elders and people with special needs. These algorithms may also be used in security (explosive manipulation) and agriculture (field crop harvesting).Read moreRead less
Radio resources and inter-cell interference management in smart grid wireless access networks. Wireless communications is the key enabler of smart grids. The project will deliver novel radio resource allocation protocols with low latency, high radio spectrum efficiency and reliability for radio access networks in smart grids. The project will develop new technologies with a potential to be implemented in future Long Term Evolution (LTE) machine-to-machine (M2M) standards.