Student topics

The construction industry plays a vital role in the global economy and there is a growing interest in utilising artificial intelligence (AI) to improve its productivity and efficiency. Despite the industry's significant contribution to the economy, it has faced challenges such as large cost overruns, extended schedules, and quality concerns. Nevertheless, AI is making significant strides to remove these issues by revolutionising various aspects of the construction industry. This is evident from enhancing project planning and design to improving construction …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Engineering

School

School of Architecture and Built Environment

In the Westernized world a person typically spends one third of their life in bed, with more time spent sleeping in a bed than in any other single activity. Sleep amount and quality of sleep have a direct impact on mood, behaviour, motor skills and overall quality of life. Yet, despite how important restful sleep is for the body to maintain good health, there is a comparatively small amount of studies evaluating key multi-factorial and biomechanical determinants of restful sleep …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Mechanical, Medical and Process Engineering

Research centre(s)

Centre for Biomedical Technologies

In the Westernised world a person typically spends one third of their life in bed, with more time spent sleeping in a bed than in any other single activity. Sleep amount and quality of sleep have a direct impact on mood, behaviour, motor skills and overall quality of life. Yet, despite how important restful sleep is for the body to maintain good health, there is a comparatively small amount of studies evaluating key multi-factorial determinants of restful sleep in non-pathological, …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Mechanical, Medical and Process Engineering

Research centre(s)

Centre for Biomedical Technologies

Advances in artificial intelligence (AI) offer urban planning practice many novel prospects. By the responsive use of AI, planners can effectively analyse data, improve processes, increase efficiency, and prioritise human-centric aspects of planning to develop sustainable cities. Computer vision is one of the key areas where responsible AI is applied in urban planning to revolutionise the analysis and interpretation of visual data, like images and videos captured in cities to aid decision and plan making processes. While the potential impacts …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Engineering

School

School of Architecture and Built Environment

Enhancing the quality of teaching in Universities: Measuring the impact of professional development and recognition schemes (such as HEA Fellowship) on University Educators and Students

Study level

PhD, Master of Philosophy

Faculty

Faculty of Creative Industries, Education and Social Justice

School

School of Education

Computer vision has developed to a point where machines using artificial intelligence are better and faster than humans at performing many vision-related tasks. For example, we are now often processed through customs based solely on face recognition software. Add to this the fact that the average Australian is photographed on CCTV cameras around 75 times per day. Commercial applications of face recognition technology include Microsoft's Face Application Programming Interface that can be used to classify face images based on gender, …

Study level

PhD, Master of Philosophy

Dr Kelly Purser is interested in talking to students who wish to undertake research on the topics of capacity, wills, enduring powers of attorney, advance health directives, estate planning, equity and trusts, succession, or therapeutic jurisprudence.

Study level

PhD, Master of Philosophy

Modelling non-stationary dynamics from high-frequency time-series data remains challenging. These signals often exhibit complex temporal and spectral structure, while observations are typically noisy, incomplete, and affected by changing operating conditions, making reliable prediction and representation learning difficult.This PhD project, offered at Queensland University of Technology (QUT) in collaboration with industry partners, focuses on learning representations and dynamics from multimodal time-series data.The research will explore deep approaches including sequence models, transformer-based architectures, anomaly detection, graph neural networks, and self-supervised learning, with …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

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

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

Millions of people suffer bone loss each year through cancer excisions, traumatic accidents and congenital birth defectsThis project will develop advanced bioactive composite scaffolds to heal bone defects using a technology terms melt electrowriting. You will use a special kind of 3D printing to create scaffolds that stimulate bone cells (osteoblasts) to create new bone and will optimise the formulation, size, shape and  culture conditions for the scaffolds.

Study level

PhD

Faculty

Faculty of Engineering

School

School of Mechanical, Medical and Process Engineering

Research centre(s)

Centre for Biomedical Technologies
Centre for Biomedical Technologies

This PhD project explores innovative mobility concepts and strategic frameworks to support inclusive, safe, efficient, fun and sustainable transport for the Brisbane 2032 Olympic and Paralympic Games. With the games as a catalyst, the research investigates how major events can accelerate long-term mobility transformation, focusing on accessibility, active and public transport, integrated infrastructure, and emerging technologies. It will critically evaluate current transport planning in South East Queensland, benchmark international mega-event mobility strategies, and engage with diverse stakeholders including government agencies, …

Study level

PhD

Faculty

Faculty of Creative Industries, Education and Social Justice

School

School of Design

Research centre(s)

QUT Design Lab