Student topics

Accurate forecasting is at the heart of many modern industries from energy and transport to retail, supply chains, finance, climate, and health. This research project explores deep learning approaches for time-series forecasting, investigating how modern architectures such as recurrent neural networks, LSTMs, Temporal Convolutional Networks, transformers, and multimodal foundation models can shape the next generation of forecasting systems.The overarching goal is to develop robust, interpretable, and scalable forecasting models that outperform classical methods and work effectively in real-world settings, including …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Mathematical Sciences

Research centre(s)

Centre for Data Science
Energy Transition Centre

This PhD project will explore the information and support needs of people with lived experience of burn injuries, their families and communities. The project will focus on people with burn injuries once they leave hospital or when the majority of their burns have healed. The likely outcome of the project will be resources and strategies that help burn survivors, their families and communities access information and support which they have expressed is a high priority.

Study level

PhD

Faculty

Faculty of Health

School

School of Public Health and Social Work

Research centre(s)

Australian Centre for Health Services Innovation
Australian Centre for Health Services Innovation

Despite substantial advances in science, the translation of research findings into commercial products and services remains limited and uneven. Many promising ideas stall in the “valley of death” between laboratory discovery and market adoption, resulting in under-realised economic and societal impact.This research topic examines how scientific knowledge can be more effectively transformed into entrepreneurial ventures and innovations that deliver tangible outcomes. Positioned at the intersection of entrepreneurship and innovation, the topic explores the organisational, institutional, and individual factors that enable …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Business and Law

School

School of Management

Research centre(s)

Centre for Future Enterprise
Australian Centre for Entrepreneurship Research

In this research project, you will develop a mathematical model, known as an agent-based model, to capture the development of a brain cancer in a patient. The model will then be matched to clinical samples from patients and used to make predictions around treatment efficacy.

Study level

Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Mathematical Sciences

Research centre(s)

Centre for Data Science

More than 10M people worldwide suffer from Parkinson’s disease (PD). As a neurodegenerative disease it is difficult to manage with adult-onset and slow progression with both both motor (walking problems, slowed movements, tremors, etc) and non-motor (anxiety, depression, cognitive decline, etc) symptoms. Current treatments focus on symptoms and clinical assessments based on intermittent, subjective evaluations with a 20 minute visit to a neurologist every six months. This cannot capture the daily fluctuation of symptoms effectively. Non-motor symptoms remain under-assessed and …

Study level

PhD

Faculty

Faculty of Creative Industries, Education and Social Justice

School

School of Design

Research centre(s)

QUT Design Lab
Design Lab

This project aims to develop forecasting models that balance accuracy with stability, minimising unnecessary changes in predictions that can disrupt operational decisions.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Mathematical Sciences

Research centre(s)

Centre for Data Science
Energy Transition Centre

This PhD project will focus on developing and evaluating multi-objective optimisation models that simultaneously optimise forecasting accuracy and operational decisions in complex systems.

Study level

PhD, Master of Philosophy

Faculty

Faculty of Science

School

School of Mathematical Sciences

Research centre(s)

Centre for Data Science

This research aims to transform how organisations improve business processes by integrating artificial intelligence with real-time data. Existing process redesign approaches are often static, retrospective, and reliant on manual analysis. While process mining is commonly used to extract insights from historical data, these methods rarely incorporate AI models to support continuous, real-time process adaptation. As a result, they fall short of enabling intelligent, self-adaptive process management.This research addresses these limitations by proposing an AI-assisted, self-adaptive framework that combines historical and …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Information Systems

Object-Centric Process Mining (OCPM) is an emerging paradigm in process analytics that addresses the limitations of traditional process mining by enabling the analysis of complex, multi-entity business processes. Unlike conventional approaches that focus on a single case notion (e.g., an order or a patient), OCPM allows for the simultaneous tracking and analysis of multiple interacting objects—such as orders, customers, products, and invoices—within a unified process model.This research project explores the theoretical foundations, algorithmic developments, and practical applications of OCPM. It …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Information Systems

The need for fire safe buildings has emerged due to the increase in bushfires in many parts of the world. The walls are considered important as they act as barriers to fire propagation. This project will investigate the fire resistant performance of blocks made of foam concrete to construct internal and external wall panels for buildings against standard fire and bushfire resistance.The performance will be summarised based on the elevated thermal properties of foam concrete at the material level and …

Study level

Honours

Faculty

Faculty of Engineering

School

School of Civil and Environmental Engineering

Research centre(s)

Centre for Materials Science

Bushfires often have detrimental impacts on both the natural and built environments. Although current building standards are in place to reduce the influence bushfire has on new buildings, existing and older residential properties are more susceptible to bushfire ignition.Identifying and restoring the most vulnerable features in existing properties can assist in reducing the property damage caused by bushfires. Implementing new technology into these risk assessments of existing bushfire-prone properties can reduce the time required and lower costs.As part of this …

Study level

Honours

Faculty

Faculty of Engineering

School

School of Civil and Environmental Engineering

Research centre(s)

QUT Resilience Centre
Centre for the Environment

This project addresses Queensland's critical housing shortage by exploring the productivity benefits of human-robot collaboration (HRC) in masonry construction. The research is conducted within the Building 4.0 CRC framework and leverages advanced facilities at QUT alongside industry partners such as Brickworks and the ARM Hub.By integrating collaborative robots (cobots), augmented reality (AR), parametric design tools (e.g. Grasshopper 3D), and AI algorithms, we aim to develop innovative workflows that enhance construction efficiency and material performance through the use of novel binders.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Engineering

School

School of Architecture and Built Environment

Research centre(s)

QUT Resilience Centre