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.
Development of Canonical Mist Filter Models. Over one million tonnes of oil (mist) is wasted every year – and emitted to the atmosphere through inefficient filtration. Over 50 per cent of energy usage in most process industries is for filtration and separation processes, yet mist filters and separators are largely designed by trial and error, resulting in sub-optimal, inefficient designs. Recent advances by the research team have, only now, made it possible to develop accurate models for such sy ....Development of Canonical Mist Filter Models. Over one million tonnes of oil (mist) is wasted every year – and emitted to the atmosphere through inefficient filtration. Over 50 per cent of energy usage in most process industries is for filtration and separation processes, yet mist filters and separators are largely designed by trial and error, resulting in sub-optimal, inefficient designs. Recent advances by the research team have, only now, made it possible to develop accurate models for such systems. This work intends to be the first to develop accurate, broadly applicable models for all processes in mist filters, thereby providing immense process efficiency benefits, together with improved worker and environmental protection, and less wastage of dwindling oil resources.Read moreRead less
Robotic microsurgery: intra-operative measurement, modelling and micromanipulation control. This research will significantly improve microsurgery and minimally invasive surgery techniques, and further produce important benefits to medicine and healthcare. The project will also open new domains in the capabilities of modelling and control of complex systems with significant impact and benefits to numerous science and engineering practices.
Discovery Early Career Researcher Award - Grant ID: DE170101062
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
A geometric approach to in-hand manipulation with rolling contact. This project aims to eradicate barriers to in-hand manipulation and design robot hands as dexterous and adaptable as the human hand. It will use the curvature theory of smooth surfaces and Lie Group theory to establish a coordinate-independent kinematic formulation of a robot hand with rolling contact and rectify the current singularity theory of in-hand manipulation. It will also use discrete differential geometry to establish a ....A geometric approach to in-hand manipulation with rolling contact. This project aims to eradicate barriers to in-hand manipulation and design robot hands as dexterous and adaptable as the human hand. It will use the curvature theory of smooth surfaces and Lie Group theory to establish a coordinate-independent kinematic formulation of a robot hand with rolling contact and rectify the current singularity theory of in-hand manipulation. It will also use discrete differential geometry to establish a discrete contact theory, which will be integrated into the proposed geometric framework to fully exploit modern tactile fingertips’ functionality. The expected outcome is robot hands with the dexterity and adaptability of the human hand.Read moreRead less
Optimal maintenance planning for critical mining and energy infrastructure. This project aims to develop cutting-edge mathematical algorithms for optimising maintenance activities in the mining and energy sectors. Such maintenance activities are prone to budget and time overruns due to poor planning - the result of outdated, inefficient manual processes. The project is expected to result in new maintenance planning methods, underpinned by rigorous mathematical theory, for reducing manual interve ....Optimal maintenance planning for critical mining and energy infrastructure. This project aims to develop cutting-edge mathematical algorithms for optimising maintenance activities in the mining and energy sectors. Such maintenance activities are prone to budget and time overruns due to poor planning - the result of outdated, inefficient manual processes. The project is expected to result in new maintenance planning methods, underpinned by rigorous mathematical theory, for reducing manual intervention and optimising both short- and long-term maintenance based on real-time sensor data. These new methods will be powerful tools for tackling the complexity of large-scale, time-critical maintenance projects, driving productivity in the resources industry and fostering collaboration between mathematicians and engineers.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100036
Funder
Australian Research Council
Funding Amount
$310,000.00
Summary
Super high speed grinding facility for difficult-to-machine materials and structures. This unique system will enable the manufacture of difficult-to-machine materials and structures with high quality and high productivity. It will support ground-breaking research activities across the country and help promote the strategic collaborations within Australian manufacturing society.