Green 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.
Professor Darren Martin
Australian Institute for Bioengineering and Nanotechnology (AIBN)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.
Dr Antonio Padilha Lanari Bo
School of Information Technology and Electrical EngineeringRobots, Artificial Intelligence and Big Data in the Macroeconomy
How do Robots, Artificial Intelligence and Big Data affect firm dynamics? Market economies are becoming disrupted by new technology adoptions: robots, artificial intelligence and use of big data to improve their efficiency and market share. The objective of this project is to understand how these as...
Single-component organic solar cells
Organic semiconductors are an attractive solution for solar cells that are low-cost and environmentally sustainable. This project will employ time-resolved spectroscopic techniques to understand the charge generation process in solar cell material that are designed for intrinsic charge generation.
Engineered mesoporous silica nanoparticles loaded with natural bioactive molecules for breast cancer therapy
Silica nanoparticles afford excellent carriers for drug loading and ligand conjugation. This project will design nanoformulations loaded with bioactive molecules. Engineered particles conjugated with ligands/antibodies will achieve high efficacy of nature derived molecules for breast cancer therapy.