University of New South Wales

GrantConnect (Australian Government grants) · FY 2026 · 2026-02

Processes & responses of nitrous oxide production in marine... Category: Humanities, Arts and Social Sciences (HASS) Research

GrantConnect (Australian Government grants) · FY 2026 · 2026-02

E-VeloCity: Designing Car-Reduced Urban Street Networks Category: Humanities, Arts and Social Sciences (HASS) Research

GrantConnect (Australian Government grants) · FY 2026 · 2026-02

Next generation groundwater clean-up technologies Category: Humanities, Arts and Social Sciences (HASS) Research

GrantConnect (Australian Government grants) · FY 2026 · 2026-02

Next generation groundwater clean-up technologies Category: Humanities, Arts and Social Sciences (HASS) Research

GrantConnect (Australian Government grants) · FY 2026 · 2026-02

E-VeloCity: Designing Car-Reduced Urban Street Networks Category: Humanities, Arts and Social Sciences (HASS) Research

GrantConnect (Australian Government grants) · FY 2026 · 2026-01

Pollies in the Glossies: How Aussie Women’s Magazines Frame The... Category: Humanities, Arts and Social Sciences (HASS) Research

GrantConnect (Australian Government grants) · FY 2026 · 2026-01

Addressing teacher workload in Australian education systems Category: Humanities, Arts and Social Sciences (HASS) Research

GrantConnect (Australian Government grants) · FY 2026 · 2026-01

Addressing teacher workload in Australian education systems Category: Humanities, Arts and Social Sciences (HASS) Research

GrantConnect (Australian Government grants) · FY 2026 · 2026-01

Battery-free IoT-Based Sensing and Control for Protected Cropping Category: Humanities, Arts and Social Sciences (HASS) Research

GrantConnect (Australian Government grants) · FY 2026 · 2026-01

Battery-free IoT-Based Sensing and Control for Protected Cropping Category: Humanities, Arts and Social Sciences (HASS) Research

GrantConnect (Australian Government grants) · FY 2026 · 2026-01

Unlock the Potential of Gallium Oxides for Power Electronic Applications Category: Humanities, Arts and Social Sciences (HASS) Research

GrantConnect (Australian Government grants) · FY 2026 · 2026-01

Unlock the Potential of Gallium Oxides for Power Electronic Applications Category: Humanities, Arts and Social Sciences (HASS) Research

GrantConnect (Australian Government grants) · FY 2026 · 2026-01

Shear Crack Characterisation in RC Members with High-Strength Steel Category: Humanities, Arts and Social Sciences (HASS) Research

GrantConnect (Australian Government grants) · FY 2026 · 2026-01

Shear Crack Characterisation in RC Members with High-Strength Steel Category: Humanities, Arts and Social Sciences (HASS) Research

GrantConnect (Australian Government grants) · FY 2026 · 2026-01

Enhancing the Characterisation of Industry Designed Arrays of Spin... Category: Humanities, Arts and Social Sciences (HASS) Research

GrantConnect (Australian Government grants) · FY 2026 · 2026-01

Enhancing the Characterisation of Industry Designed Arrays of Spin... Category: Humanities, Arts and Social Sciences (HASS) Research

ARC National Competitive Grants · FY 2026 · 2026-01

Monge–Ampère equations and optimal transport: geometry and regularity. Monge–Ampère equations and optimal transport are important fields which have played defining roles in 21st century mathematics. These topics have applications to diverse areas like fluid flow, meteorology, neural networks, and economics and also have applications in pure mathematics, for example to geometry and functional inequalities. This project will develop regularity theory for the Monge–Ampère partial differential equations (PDE) as well as investigate both the geometry and economic applications of optimal transport. This project aims to generate new mathematical theories relevant to these applications and will have significant impact and benefit on elliptic PDE, optimal transport, and Australia's global reputation in mathematics. Field of research: 4904 - Pure Mathematics This project develops new tools in the mathematical fields of optimal transport and elliptic partial differential equations (PDE). These are important and active areas of modern mathematics for which improving our understanding will help us better understand problems in meteorology, economics, and machine learning. By advancing these mathematical foundations, this project could lead to more efficient models and solutions for challenges in areas like resource allocation, weather forecasting, and economic modeling. In addition, pure mathematics research benefits Australia by enhancing our national mathematical expertise and international standing. Australia will experience cultural and economic benefits through this enhanced global reputation, attracting top international researchers and fostering new collaborations, all of which improve the educational opportunities available to Australians in the area of mathematics. The results obtained in this DECRA will be shared open access to ensure this research is available to everyone including those outside academia such as industry partners, peak bodies or other consumer/stakeholder groups. Monash has strong networks with industry partners which may assist with research translation by making the highly applicable components of this project available to users.

ARC National Competitive Grants · FY 2026 · 2026-01

Go for it: Understanding the Risk Preference in Risky Hybrid Foraging. From routine tasks like spotting dangers while crossing streets to high-stakes tasks like screening medical images for cancer signs, risky hybrid foraging characterizes a range of real-world search scenarios. In risky hybrid foraging, people search for instances of several risky targets (cancer signs) across several patches (medical images). This project aims to understand the risk preference underlying risky hybrid foraging by integrating cognitive modeling and experimental approaches. Expected outcomes include new insights into how elements of decision making and visual search shape human risky foraging strategies. This should provide valuable guidance for developing interventions to improve search efficiency in real-world scenarios. Field of research: 5204 - Cognitive and Computational Psychology Risk preference plays a key role in shaping how people search in hybrid foraging scenarios relevant to everyday life (e.g., deciding whether to prioritize searching for rare, catastrophic security threats or frequent, low-impact security risks). Problems in improving search efficiency often arise from risk sensitivity, where individuals prioritize seeking low-value, certain gains while ignoring high-value, risky options, or focus on spotting rare, high-risk hazards while overlooking common, low-impact hazards. Despite its impact on search efficiency, the underlying cognitive mechanisms driving risk sensitivity in hybrid foraging are not well understood. This project aims to evaluate a new model of risk sensitivity in hybrid foraging to enhance search efficiency in complex real-world scenarios. We will use the model to develop new methods to help individuals improve their search strategies, thereby enhancing search efficiency. The project results will be communicated to relevant Australian government agencies and industry stakeholders, potentially leading to new ways of presenting search options when communicating with the public. This, in turn, will help communities become better equipped to adopt improved search strategies in everyday life.

GrantConnect (Australian Government grants) · FY 2026 · 2026-01

Can artificial enzymes that are more versatile than natural enzymes? Category: Humanities, Arts and Social Sciences (HASS) Research

ARC National Competitive Grants · FY 2026 · 2026-01

Next-Generation Biodegradable Adhesives. This project aims to develop new biodegradable adhesives derived from oxidized natural polysaccharides. These adhesives will effectively bond various biodegradable materials while maintaining their structural integrity and performance. The significance of this research lies in its potential to replace toxic synthetic adhesives with safer, eco-friendly alternatives. Expected outcomes include innovative methods for producing sustainable adhesives to enhance manufacturing processes. Benefits include reducing environmental impact from adhesive waste, improving sustainability in Australian industry, and fostering economic growth through commercializing environmentally friendly adhesive technologies. Field of research: 3405 - Organic Chemistry This project, led by Associate Professor Vinh Nguyen at UNSW Sydney in collaboration with Benignancy Pty Ltd, pioneers the creation of innovative, eco-friendly adhesives derived from natural polysaccharides. This research addresses a critical international need to replace toxic synthetic adhesives with biodegradable and sustainable alternatives, significantly reducing environmental pollution and promoting cleaner manufacturing practices. Given the adhesive and sealant market’s global valuation of ~ US$79 billion, this project offers substantial economic benefits for Australia, including the creation of new markets and employment opportunities in green manufacturing. Environmentally, the project supports Australia’s commitment to sustainability by reducing reliance on petroleum-based adhesives and minimizing pollution. Socially, this initiative contributes to healthier, sustainable communities by fostering responsible industrial practices and aligning with growing public demand for environmentally safe products. Furthermore, the project will train highly skilled scientists equipped with expertise that is in high demand within the Australian workforce. To ensure practical and widespread adoption of these new biodegradable adhesives, the research team will actively engage industry partners, stakeholders, and the broader community through demonstrations, workshops, and collaborative initiatives, facilitating the clear translation of research benefits to all Australians.

ARC National Competitive Grants · FY 2026 · 2026-01

Spatio-temporal modelling of complex particle-fluid reacting flows. Complex particle-fluid reacting flows are widely encountered in engineering, featuring wide particle size distributions, massive particle numbers, and complicated interactions, yet process design and optimisation are hindered by limited understanding of these flows at spatio-temporal scale. The project will tackle this challenge by developing a novel modelling framework that integrates a high-fidelity reacting flow with a physics-guided acceleration approach for accurate spatial and efficient temporal simulation; and applying it to two typical processes for effectiveness demonstration. The outcomes, theories and models, will directly help process design and upgrading across industries critical to Australia's economic and net-zero future. Field of research: 4004 - Chemical Engineering Particle-fluid reacting flows, characterised by broad particle size distribution and massive particle numbers, are widely practised in many Australian central industry sectors, from energy-intensive sectors such as mineral processing and metallurgy, to high-precision fields like pharmaceutical drug delivery. However, designing and optimising these flows is challenging and costly due to difficulties in quantifying their spatio-temporal behaviours. The project will develop a generic mathematical model for accurate spatial and efficient temporal simulation of complex reacting flows. Further, this generic platform will be directly further developed to specific cost-effective tools to understand and upgrade Australia’s key processes, specifically, i) Green Iron: This tool will directly help transform Australian steel industry based on existing partnership with industry giants across the supply chain including BlueScope, Baowu, Rio Tinto, by providing step-change tools with high-fidelity simulation, which has been expected for years. ii) Drug delivery: This tool will directly help improving Australian pharmaceutical industries by replacing risking in-vivo/ in-vitro tests with this new virtual tool and thus de-risking the medicine design processes. The outcomes will guide optimal design, operation and control in these industries, thereby directly addressing ‘A Future Made in Australia’ Plan and ‘Net-Zero’ Plan, and enhancing the competitiveness of Australian economy.

GrantConnect (Australian Government grants) · FY 2026 · 2026-01

Exploiting new mathematical encodings of phylogenetic trees and networks Category: Humanities, Arts and Social Sciences (HASS) Research

GrantConnect (Australian Government grants) · FY 2026 · 2026-01

Aerothermoelastic scaling: from wind tunnel to flight Category: Humanities, Arts and Social Sciences (HASS) Research

GrantConnect (Australian Government grants) · FY 2026 · 2026-01

Artists and Generative-AI: Copyright and Private Regulation of... Category: Humanities, Arts and Social Sciences (HASS) Research

ARC National Competitive Grants · FY 2026 · 2026-01

Quantum Computing for Evacuation Management. Disaster management relies on timely and accurate information to respond efficiently. This project leverages SQC’s Quantum Machine Learning (QML) hardware and NSW SES's emergency management expertise and datasets to develop novel QML models for real world emergencies. These project will improve and benchmark QML model performance based on accuracy and speed to: 1) predict flood, evacuation traffic and emergency management decisions. 2) Optimise emergency management decisions on resource allocation (3) benchmark and develop implementation roadmap. The project will deliver the world’s first application of quantum computing for emergency services, paving the way for scalable application of quantum computing in emergency management. Field of research: 3507 - Strategy, Management and Organisational Behaviour Emergency management services have the critical function of protecting and saving public lives and property. This ability to rapidly assess risks and respond in a timely and efficient manner is critical to this function. Quantum Machine Learning as a technology does provide a promising approach to address this. The project addresses Australia’s national priorities and Sustainable Development Goals (SDGs) by enhancing disaster resilience. McKinsey's, BCG and CSIRO have all projected a future market size for quantum technologies of >$100B in annual revenue globally, with a strong potential to solve the $38 billion per year losses expected to the Australian economy due to Natural Disasters. To serve this agenda, the project will deliver trained next generation of experts at the intersection of emergency and quantum computing. This project is a strategic collaboration between SQC, UNSW and NSW SES to utilize quantum computing to help address this fundamental problem. This project leverages world-leading Australian quantum computing and manufacturing company Silicon Quantum Computing’s (SQC) patented prototype QML processor, which has been shown to enhance the classification and prediction accuracies of standard machine learning systems, to develop solutions for New South Wales State Emergency Services (NSW SES) using real world data on floods and evacuation. This key project outcome is the development of Quantum Machine Learning solutions for Disaster and Evacuation Management.