Technology Regulation in the Macroeconomy: Robots and Artificial Intelligence
Automation is affecting the economy in different ways: while robots may improve our living standards, they may also displace workers in the labour market. This PhD research proposal aims at deepening our understanding of the adoption of automation technologies in the macroeconomy.
Enhancement of the performance and sustainability of limestone calcined clay cement using natural nanomaterials
This project aims to investigate the reinforcement potential of natural nanomaterials for improving the performance and sustainability of construction materials based on low-carbon Limestone Calcined Clay Cement (LC3).
Dr Pratheep Kumar Annamalai
Australian Institute for Bioengineering and Nanotechnology (AIBN)A many-body quantum thermal machine with programmable arrays of single atoms
This theoretical project will develop protocols for operating quantum machines built from arrays of tens of individual ultracold atoms. The aim is to generate and utilise many-body coherence and entanglement, via the control of dissipation and interactions, to demonstrate a quantum advantage.
Adversarial Attacks and Defences for In-Vehicle Networks
The main goal of this research project is to develop adversarial attacks and defences for in-vehicle networks.
Associate professor Dan Kim
School of Information Technology and Electrical EngineeringCOVID-19 associated behavior to build sustainable healthcare: Learnings from Indian and Australian Journey of COVID-19 Pandemic
The COVID-19 has affected people worldwide. People have displayed a variety of behavioral changes, for instance, wearing masks, panic buying, vaccination hesitancy, etc. The aim is to identify the diffusion of COVID-19 associated behavior in Australia and India & its role in sustainable development.
Polyanionic electrode materials for sodium-ion batteries
Research on sodium-ion batteries (NIBs) is motivated by the high cost and rarity of the ingredients in lithium-ion batteries. High energy density and stable electrode materials are key to battery technologies. The objective of this PhD project is to develop cost-effective cathode materials for NIBs.
Multiscale modelling for characterisation of particle transport and retention in porous media
Particle laden flow through porous media is at the heart of energy solutions such as gas, oil recovery and carbon sequestration. The project aims to couple stochastic population balance equation to a particle-resolved pore scale network model, resulting in a multiscale solution of this complex flow.
Development of conductive two-dimensional metal-organic frameworks (MOFs) for electrocatalytic applications
This project aims to develop novel conductive two-dimensional metal-organic frameworks (MOFs) via precise nanoarchitecturing for electrochemical applications and investigate the intrinsic relationships between their physicochemical properties and electrocatalytic performance in water splitting.
Professor Yusuke Yamauchi
Australian Institute for Bioengineering and Nanotechnology (AIBN)Modelling and simulation of DC Arc plasma involving arc fluctuation and non-equilibrium mixing effects
This project aims to investigate the non-equilibrium mixing behaviour of chemical species within the plasma plume with the help of CFD modelling. The specific attributes sought in this project is the coupling of reaction kinetics with the plasma species transport model.
An information flow logic for C/C++11
This project will develop an information flow logic for C programs taking into account the allowable compiler optimisations defined in the C11 standard. The logic will be encoded and proved sound in a theorem prover, and its use supported by adapting an existing program verification tool.