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.

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Found 28 matching student topics

Displaying 1–12 of 28 results

Process-data governance patterns

Data is recognised a strategic asset for organisations. There is a growing need to manage the voluminous data an organisation is exposed to in order to use it for decision-making.Of particular significance is process data, which consists of information about the execution of processes. Such information is used to uncover behaviour of processes within an organisation. This brings forth the significance of data governance. Data governance is the exercise of control and authority over management of data. Despite its significance, …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems

Investigating integration of climate change adaptation policies across government levels

Climate change poses an unprecedented global challenge, and its impact is profoundly felt at the local level. The pressing need for effective adaptation strategies requires a nuanced understanding of how local governments navigate and integrate policies at various administrative tiers. Our research project delves into the pivotal question of how local governments align with regional, state, and national climate change adaptation policies, offering a crucial lens into the challenges and opportunities that emerge at the intersection of policy and planning.This …

Study level
Honours
School
School of Architecture and Built Environment

Overcoming the challenges of sensitive data via synthetic data generation (case study)

In the 21st Century, there is an abundance of data, often containing insights that could benefit a number of stakeholders. However, despite this opportunity, it is often the case that the data is sensitive and can not be released by organisations or government agencies due to privacy concerns. One possible solution to the above dilemma is to instead carefully construct a 'twin' data set that contains similar information (and ideally, the same insights) as the original data set, but without …

Study level
Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Reversing Epithelial Mesenchymal Plasticity with Eribulin to Enhance Therapy Response

Epithelial mesenchymal plasticity (EMP) is a highly regulated and powerful cellular process that is fundamental in embryonic development (1), which is hijacked by cancer cells for metastatic progression and therapy resistance in epithelial cancers (2). Eribulin is a microtubule-inhibiting cancer drug discovered in sea sponges and approved for 3rd line therapy in metastatic breast cancer, which was shown to reverse epithelial mesenchymal transition (EMT) (3).We hypothesise that eribulin’s reversal of EMT will sensitise breast cancer cells to other therapies and …

Study level
Master of Philosophy
Faculty
Faculty of Health
School
School of Biomedical Sciences

Optimisation of piezoelectric materials for robotics applications

Piezoelectricity, which translates to “pressure electricity”, is the phenomenon in which certain materials convert mechanical energy to electrical energy, and vice versa. Such materials are common-place and are used in a variety of applications including sensor, actuator, and energy harvesting technologies. The capabilities of such piezoelectric materials have not yet been fully realised. We plan to use computational structural optimisation to design new piezoelectric materials and components that may contribute to novel sensing technologies for robotics applications. Essentially, robots need …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences

Developing models of failure for porous materials

Classical fracture mechanics accurately predicts the failure strength of samples with sharp flaws such as pre-existing cracks. However, to predict the failure of porous materials we need to develop an understanding of how stresses are concentrated around smooth flaws in the material such as rounded pores, and how these stress concentrations contribute to failure.Finite fracture mechanics combines the energy criterion for failure from classical fracture mechanics with a stress criterion from macroscopic failure theory. The coupled criterion has by now …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences

Computational methods for multi-scale structural optimisation

Structural optimisation is a powerful computational methodology for finding high-performing designs for structural components or material architectures. For example, what periodic scaffold would provide the highest possible stiffness for its weight?Solving such a problem computationally requires an understanding of the relevant equations required to model the physical properties of interest, as well as efficient implementation of a range of numerical methods including finite elements, finite differences and optimisation.With recent developments in 3D printing technologies it is now becoming possible to …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences

Diffusion and first passage times in random media

Diffusion in homogenous environments is relatively well understood, but the problem becomes more complicated in complex environments - such as wood tissue, cells, filters and catalysts. At QUT there is extensive expertise in using advanced numerical methods to model diffusions and first passage times in complex environments.The ability to combine this expertise with realistic models of random media based on level-sets of Gaussian random field.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences

Space robotics: Scene understanding for Lunar/Mars Rover

The QUT Centre for Robotics is working with the Australian Space Agency on the newly established Australian space program, in which robots will play a key role. There are multiple PhD projects available to work on different aspect of developing a new Lunar Rover (and later Mars Rover) and in particular its intelligence and autonomy. Future rovers will not only need to conduct exploration and science missions as famous rovers such as NASA's Curiosity or Perseverance are doing right now …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

Human robotic interaction prototyping toolkit

Design relies on prototyping methods to help envisage future design concepts and elicit feedback from potential users. A key challenge the design of human-robot interaction (HRI) with collaborative robots is the current lack of prototyping tools, techniques, and materials. Without good prototyping tools, it is difficult to move beyond existing solutions and develop new ways of interacting with robots that make them more accessible and easier for people to use.This project will develop a robot collaboration prototyping toolkit that combines …

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Design
Research centre(s)

Design Lab

Robotic intention visualisation

Complex manufacturing environments characterised by high value and high product mix manufacturing processes pose challenges to Human-Robot Collaboration (HRC). Allowing people to see what robots are ‘thinking’ will allow workers to efficiently collaborate with co-located robotic partners. A tighter integration of work routines requires improved approaches to support awareness in human-robotic co-working spaces. There is a need for solutions that also let people see what the robot is intending to do so that they can also efficiently adjust their actions …

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Design
Research centre(s)

Design Lab

3D Bioprinting in Cancer Research

Interested in 3D Bioprinting? Care about improving our understanding of cancer pathogenesis? Then this opportunity is for you!   The Queensland University of Technology (QUT) and industry partner Gelomics Pty Ltd are seeking competitive candidates to apply for a PhD scholarship (AU $34,013 per annum) in 3D Bioprinting & Cancer Research. 

Study level
PhD
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

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