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.

Filter by faculty:

Found 446 matching student topics

Displaying 109–120 of 446 results

Human biomarkers of stress, trauma, and memories of fear

Understanding how disorders such as posttraumatic stress disorder develop following trauma is a contemporary challenge for researchers in psychology. The best explanations involve a combination of psychological and biological factors that interact during and following trauma to create a range of troubling symptoms. This project will use cutting edge technology at QUT to provide insights into how a mix of biology and behaviour can result in exacerbated stress responses and threat memories in experimental and real-world settings.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Psychology and Counselling

Genetics of cardiovascular disease

This research project involves investigating the genetic basis of cardiovascular disease (CVD). The project will focus on the genetically unique population of Norfolk Island. The Norfolk Island Health Study has been running for 20 yrs. Over this time the cardiovascular health of the Islanders has been tracked via the collection of relevant clinical data. In addition whole genome sequence data from the study group has been collected, which will facilitate the discovery of genetic variants that influence CVD phenotypes - …

Study level
PhD
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)
Centre for Genomics and Personalised Health

Microfluidic chip-based tumor-immune cancer models for biomarker discovery

In-vitro profiling of tumour-immune cell interactions in proximity can provide valuable insight into patient response to new combinatorial immunotherapies that are in the pipeline and currently being tested in clinical trials. These in-vitro models allow for a more controlled and isolated environment and provide a methodical approach for generating quantifiable data characterizing the interactions between target and effector cells. Traditionally executed in well-plates, tumour-immune models have been slowly moving towards a microfluidic chip-based approach for several reasons: better control over …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

Development of a microfluidic sample processing integrated robot (micro SPIN-R)

Microfluidic devices are increasingly relied upon to address the complexity of in-vitro disease models that are intended to mimic and provide insight into in-vivo processes and reactions to novel therapies and in turn, can become powerful companion diagnostic devices essential for predicting and individual patient’s reaction to a particular treatment. However, as these microfluidic devices become more and more prominent and necessary for addressing the drug screening and disease modeling needs of the industry, we have observed a lack in …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

Ubiquitous visual positioning devices

Everything that moves is defined and limited by its ability to navigate the world in which it exists. Knowing where you are located in the world is a key navigational capability for people, animals, and both autonomous and human-operated platforms ranging from self-driving cars to aircraft.But accurate and trustworthy positional knowledge has widespread potential implications beyond navigation: it can, for example, allow life-and-death decisions in defence and in tracking the spread of global pandemics. Both the potential of and problems …

Study level
Honours
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics
Research centre(s)
Centre for Robotics

Mapping the world: understanding the environment through spatio-temporal implicit representations

Accurately mapping large-scale infrastructure assets (power poles, bridges, buildings, whole suburbs and cities) is still exceptionally challenging for robots.The problem becomes even harder when we ask robots to map structures with intricate geometry or when the appearance or the structure of the environment changes over time, for example due to corrosion or construction activity.The problem difficulty is increased even more when sensor data from a range of different sensors (e.g. lidars and cameras, but also more specialised hardware such as …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics
Research centre(s)
Centre for Robotics

Ecosystem responses to climate change and human impacts on sub-Antarctic islands: a context for conservation

Sub-Antarctic islands have unique ecosystems and landscapes under increasingly pressure from climate change. In many cases this is compounded by the introduction of invasive species since their discovery by humans in the 1800s.Understanding ecosystem and environmental responses to climate change and separating them from human-induced causes of change is essential for their future protection. To do this requires quantifying long-term, natural rates and variability of change, establishing the ‘baseline’ status of ecosystems and the environment prior to human arrival, and …

Study level
PhD
Faculty
Faculty of Science
School
School of Biology and Environmental Science
Research centre(s)

Centre for the Environment

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

Assessing visual acuity errors in pre-school children (CVER01)

Measuring visual acuity is in preschool children is challenging. In particular, young children will be prone to making mistakes in identifying symbols on eye charts, even when they can see what those symbols are, so called “false negative responses”.This project uses an established vision assessment protocol, EVA testing, and assesses the extent of false negative responses in this task. The protocol assesses the effects of an intervention, pointing to the target on a card, which may decrease false negative responses. …

Study level
PhD
Faculty
Faculty of Health
School
School of Clinical Sciences
Research centre(s)

Centre for Vision and Eye Research

Towards a proactive trust management: the quantification of return on trust

In today’s highly dynamic markets, companies seek to increase customer trust to gain a competitive advantage based on aspects such as customer engagement, retention, advocacy, and pricing. However, while a large body of trust research exists, little is known regarding the operative return on trust.The project explores these trust economics to quantify the impact of trust gains to guide organisations and utilise their resources more effectively. In this context, trust-related key performance indicators have to be identified to explore their …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Accountancy
Research centre(s)
Centre for Future Enterprise

Scheduling of vessel movements in channel constrained ports

International trade is heavily reliant on maritime transportation which constitutes 80% of total volume. Ports have a significant impact on the efficiency of maritime transportation, with significant delays to vessels observed in accessing or departing ports. These delays can be a result of constraints on wharf capacity, channel capacity, access to tugs and pilots, or a combination of these factors. This project will focus on the development of novel operations research techniques to optimise the efficiency of scheduling vessel movements …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Page 10 of 38

Contact us

If you have questions about the best options for you, the application process, your research topic, finding a supervisor or anything else, get in touch with us today.