QUT offers a diverse range of student topics for Honours, Masters and PhD study. Search to find a topic that interests you or propose your own research topic to a prospective QUT supervisor. You may also ask a prospective supervisor to help you identify or refine a research topic.
Found 643 matching student topics
Displaying 193–204 of 643 results
Advanced maintenance of railways
Effective maintenance of railway infrastructure is crucial for safe and comfortable transportation. Rail maintainers currently use a combination of time-based (scheduled) and condition-based approaches to balance the costs and benefits of inspections and maintenance.This project aims to enable advanced maintenance by advanced analysis of degradation patterns, establishment of new predictive models, and development of novel inspection and maintenance optimisation methods to efficiently allocate resources.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
Early innate immune signatures as biomarkers of Parkinson's disease onset
Parkinson's disease is typically diagnosed after the onset of motor symptoms, when significant neurodegeneration has already occurred. Growing evidence suggests that immune dysregulation, particularly within the innate immune system, may arise in the prodromal and early stages of disease and contribute to disease initiation.This project will investigate whether individuals in the prodromal and early stages of Parkinson's disease exhibit distinct peripheral immune signatures, focusing on monocyte and macrophage polarisation and plasma cytokine profiles, with the aim of identifying early immune …
- Study level
- Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
SLAM inside the human body: camera tracking and 3D reconstruction for medical procedures
Minimally invasive surgery and endoscopic interventions rely heavily on the clinician’s ability to understand and navigate complex internal anatomy using only a narrow and often restrictive field of view. Having access to an accurate and dynamic 3D reconstruction of the endoscopic scene, together with reliable camera pose estimation can significantly improve spatial awareness and navigation during procedures. The generated map can be used alongside the device’s estimated location to help clinicians better orient themselves within the patient, and it also …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
From lab to market: enhancing the translation of publicly funded research into commercial impact
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
Wearable futures: designing next-generation devices for Parkinson's disease
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
Forecast stability and volatility control in decision-centric time series forecasting
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
Multi-objective optimisation models for forecasting and decision-making in supply chains and energy systems
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
AI-driven process redesign
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
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
Development of foam concrete for fire-resistant walling elements
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
Bushfire building risk assessment using advanced technologies
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
From digital design to human-robot collaborative masonry construction
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
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