Student topics

Global Minimum Tax (GMT) is an emerging framework in the international tax landscape, anticipated to play a vital role in curbing tax base erosion and profit shifting by multinational corporations. Australia's implementation of the GMT aligns with the OECD/G20 Two-Pillar Solution, specifically addressing the tax challenges of digital economy globalization. Starting January 2024, a 15% global minimum tax will apply to large multinational enterprises (MNEs), alongside a domestic minimum tax to safeguard Australia's tax base against profit shifting and erosion. …

Study level

Master of Philosophy, Honours

Faculty

Faculty of Business and Law

School

School of Accountancy

Neglecting to incorporate physics information into world models for reinforcement learning leads to reduced adaptability to dynamic and complex environments and overall learning outcomes.In this project, we endeavour to develop and implement learnable models in reinforcement learning (RL) based on graph neural networks (GNNs). These models will integrate object and relation-centric representations to enable accurate predictions, strong generalization, and system identification in complex, dynamical systems. Additionally, we will focus on leveraging extensive world knowledge or physics information to refine representations …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

The flight path design and community engagement practices associated with Brisbane Airport have long been criticised for prioritising profit over community wellbeing, leading to excessive aircraft noise pollution. These issues have now amounted to a federal Senate Inquiry and an investigation by the Commonwealth Ombudsman.This PhD research project aims to explore the dynamics between Brisbane Airport and the affected residential communities across more than 220 suburbs, drawing inspiration from a similar study conducted into the social engineering practices of Schiphol …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Creative Industries, Education and Social Justice

School

School of Design

Research centre(s)

Digital Media Research Centre
Design Lab

Smart cities hold immense potential for progress, but their success hinges on citizen empowerment and ethical data practices. Our research initiative, DataCare, aims at reshaping the landscape of smart cities by prioritising citizens, communities, and small businesses. This project, developed in collaboration with Brisbane Residents United (BRU), focuses on transforming smart cities from profit-driven entities to community-led developments.BRU is a community association serving as a vital grassroots advocacy and peer support network for suburban and local resident groups across Greater …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Creative Industries, Education and Social Justice

School

School of Design

Research centre(s)

Digital Media Research Centre
Design Lab

This PhD project addresses the significant issue of misleading noise data in the context of residential communities exposed to aircraft noise pollution. Despite efforts by authorities to provide noise exposure forecasts and information based on the Australian Noise Exposure Forecast (ANEF) approach, many communities feel misled by the noise contours presented to them. Experiences from previous major development projects at Australian airports have shown a range of problems with relying solely on the ANEF as a noise information tool as …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Creative Industries, Education and Social Justice

School

School of Design

Research centre(s)

Design Lab

The Australian Commission on Safety and Quality in Health Care has highlighted that reducing avoidable hospital readmissions supports better health outcomes, improves patient safety and leads to greater efficiency in the health system. Previous studies have reported that up to 11% of the emergency (ED) population are 'heavy users' with a higher prevalence of psychosocial problems and often co-existing chronic medical conditions. All Australian governments have committed to reforms under the National Health Reform Agreement Addendum,1 and the ability to …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Computer Science

Research centre(s)

Centre for Data Science

Software vulnerabilities have been considered as significant reliability threats to the general public, especially critical infrastructures. Many approaches have been proposed to detect vulnerabilities in source code to avoid any damages they pose when exploited. Conventional approaches include static analysis and dynamic analysis. Static analysis uses pre-defined patterns or vulnerability dataset to scan and examine software source code to identify potential vulnerable code snippets. These patterns are manually crafted or identified by software developers or security experts, which are time-consuming. …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Computer Science

Research centre(s)

Centre for Data Science

Virtual power plants (VPP) provide a viable solution to integrate intermittent renewable energy sources into the grid, where a transition from centralized to decentralized energy distribution can provide economic and ecological benefits and facilitate citizen empowerment and a sense of community. However, consumers are reluctant to adopt distributed energy systems such as rooftop solar panels and household and community battery storage, which provide electricity generation and storage technologies that are located close to the point of use, as opposed to …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Information Systems