Development of design and manufacturing framework for composite shafts
This project performs an in-depth study into the aspects of Designing (strength, dynamic response, fatigue and fracture Behaviour), Material selection, Manufacturing and Testing (arrangements of mounting, providing suspension, and assembly) of fiber-reinforced polymer matrix composite shafts.
Bridging the domain gap for visual recognition systems.
Deep learning models adapt or generalize sub-optimally across different domains, especially when test domains contain classes unseen during training. This project will investigate open-set continual domain adaptation, with focus on both Computer Vision and Earth observation data.
Assistant professor Yadan Luo
School of Information Technology and Electrical EngineeringDevelopment of Electrocatalysts based on Earth-Abundant Metal Complexes for Energy Conversion
We set out to develop catalysts based on earth-abundant metal complexes for electrocatalytic carbon utilisation, such as CO2 reduction and CH4 reforming. Small molecule complexes of 3d metal ions will be utilized as a precatalyst for synthesizing novel catalysts for energy conversion reactions.
Professor Lianzhou Wang
Australian Institute for Bioengineering and NanotechnologyGreen Polymer Nanocomposites based on PBAT and Nanocellulose
The research project aim is to develop Biodegradable polymer nanocomposite films and laminates with improved mechanical strength, flexibility, thermal stability and biodegradability using sustainable resources for packaging, biodegradable consumer products applications.
Quantifying cyber risk
Quantifying cyber risk is a challenge in cyber risk management. We would attempt to connect financial management and information management literature in developing a quantitative model for cyber risk management.
Topological properties of Two-Dimensional Metal – Organic Frameworks
Metal-organic frameworks (MOFs) are predicted to host exotic properties such as unconventional superconductivity, strain-tunable band structure, and electronic states with nontrivial topology. This project will combine experiment and theory to reveal novel quantum properties in 2D MOFs.
Understanding the impacts of fake news and misinformation on social media
The project aims to understand how the fake news and misinformation campaigns impact social media discourse related to socio-political issues. Specifically, we aim to understand how the effect of fake news propagates and diminishes in the network of users.
Electricity Market Design with Renewable Energy
Renewable energy has been increasingly important in electricity supply. This project studies optimal market design in electricity market with renewable energy. It uses tool in game theory and information economics and compare the welfare effects of different mechanisms in electricity market.
Scale-appropriate interventions for Improving Air Quality
The project will map air quality unevenness across the city, identify vulnerable socio-spatial zones and communities, and create scale-sensitive and socially appropriate responses. The study will contribute to understanding the role of scale and local involvement in urban climate responses.
Machine Learning Based Algorithm Development for Cardiovascular Biomechanics
To create an algorithm to be able to estimate cardiac output volume and flow volume and rate based on micro-vibration extraction from the body.