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 159 matching student topics

Displaying 121–132 of 159 results

A mathematical model of disrupting cell-to-cell communication by bacteria

The emergence of resistance of bacteria to antibiotics presents a global healthcare challenge that intensifies the search for strategies to increase the effcacy of therapy. Several mechanisms are involved in resistance of bacteria against antibiotics such as mutations in genes, horizontal gene transfer, and biofilm formation. Bacteria can communicate with each other through production and response to local concentration of small molecules called autoinducers.This mechanism is called quorum sensing (QS).It has been suggested that QS can influence the resistance of …

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

Characterisation of a novel protein co-amplified with the n-MYC oncogene

The MYCN oncogene is amplified in a number of tumour types, including Neuroblastoma (NB) and Neuroendocrine Prostate Cancer (NEPC), where it is associated with worse patient prognosis, as compared to non-amplified tumours. However, the high expression of MYCN (encoding the n-MYC protein) alone in non-amplified tumours is associated with better patient prognosis and less aggressive disease. This suggests that other genes co-expressed in MYCN amplified tumours may be responsible for mediating the aggressive traits of n-MYC. Our team has identified …

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

Lunar seismology: Using lunar seismology data for site characterisation at Schrodinger crater

QUT is involved in the science team for a recently Australian Space Agency-funded mission to Schrodinger crater, to deploy a Fleet Space seismometer. QUT is developing workflows to translate the seismic data into detailed subsurface models for site characterisation, off-world construction, and in-situ resource mapping of materials such as ice.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Earth and Atmospheric Sciences
Research centre(s)
Centre for Data Science

Potential for defective interfering particles (DIPS) to interrupt mammal-mosquito transmission of dengue virus

Dengue is a major mosquito-borne disease affecting 390 million people annually across 100 countries. Disease results from infection with dengue viruses, which are single positive-stranded RNA viruses in the family Flaviviridae. Defective interfering particles (DIPs) are virus-like particles with greatly reduced genomes that are byproducts of RNA virus replication and replicate only in the presence of standard virus (Vignuzzi and Lopez 2019, doi: 10.1038/s41564-019-0465-y). DIPs occur naturally during Dengue infection (Li et al. 2011, doi: 10.1371/journal.pone.0019447) and suppress DENV replication …

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

Metagenomic analysis of bacterial contamination screening pooled platelets

Bacterial sepsis is second only to ABO incompatibility as a cause of death from transfusion. Bacterial contamination of platelets is recognised as the most significant residual infectious risk of transfusion in developed countries. Bacterial Contamination Screening (BCS) has been required for testing of pooled and apheresis platelets manufactured by the Blood Service since April 2008. International microbiological culture studies suggest that the incidence of bacterial contamination ranges from 1:3000 to 1:1000 units of apheresis platelets and 1 in 600 to …

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

Advanced artificial intelligence based ultrasound imaging applications

Our research in the space of advanced quantitative medical imaging is investigating how to use ultrasound as a real time volumetric mapping tool of human tissues, to guide in a reliable and accurate way complex medical procedures1. We have developed several novel methods which make use of the most cutting-edge artificial intelligence technology2. For example, to show where the treatment target and the organs at risk are at all times during treatments in radiation therapy3, 4; or to inform robots …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Clinical Sciences
Research centre(s)
Centre for Biomedical Technologies

Developing composite products for use in light steel wall and floor systems

The project will investigate the potential use of a range of composite products made of gypsum plasterboard, steel sheeting and insulation foams to improve the fire resistance of light steel wall and floor systems. It will involve investigating the potential composite products’ suitability, conducting fire tests of small scale wall/floor assemblies (1.2mx.1.2m) made of such composite products to understand how they behave in fire and determine their fire resistance levels. Civil and Mechanical Engineering students with interest in structural and …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering

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

Consumer reactions to voice-based AI

Artificial intelligence increasingly allows marketers to manipulate video and audio materials in a manner that has been restricted to still pictures in the past. Yet little is known about how consumers engage with and react to marketing content that consumers know has been manipulated in this fashion. For instance, for whom, when and why do interactions with voice-based AI (e.g. Google Duplex, Healed through A.I.) reduce purchase intentions. Building on research from interpersonal interactions (Lechner & Mathmann, 2020) and motivational …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Business and Law
School
School of Advertising, Marketing and Public Relations

Big data analysis to aid ecological research

We're looking for multiple students to help us answer the question: 'How can we utilise information technology to aid ecological research?'Sensor networks bring ecologists and pattern recognition researchers together to make some applications possible. These applications include assessing risks from potential bird collisions, unobtrusive observations (where the presence of humans changes some animal behaviours) and studying spatial and temporal variation in biological processes.With a significant amount of data being collected from these applications, processing and mining this data is challenging. …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Computer Science

Keeping carbon – ensuring soil carbon gains through improved grazing management persist through drought in Australia's tropical and semi-arid grasslands

Drought is the biggest barrier to sequestering soil organic carbon (SOC) in soils over the long-term. While options are limited during dry periods, how we manage our pastures prior to drought can influence the resilience of SOC to losses and enhance recovery.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Biology and Environmental Science
Research centre(s)
Centre for Agriculture and the Bioeconomy

Page 11 of 14

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.