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 14 matching student topics
Displaying 1–12 of 14 results
Praeclarus process-data quality framework
Praeclarus is an open-source software framework that aims to facilitate data pre-processing for process mining. Process mining is specialised data mining focusing on process-data. It is of high interest to industry, with the market doubling every two years (e.g., increasing from $550M in 2020 to $1B in 2022). This market increase has meant that big companies like Microsoft, SAP, and IBM are acquiring process mining vendors such is Minit, Signavio, and myInvenio.Recent process mining surveys show that more than 60% …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Visualisation and sonification for genomic data sets
Successive revolutions in sequencing technology over the past two decades have led to an explosion in the availability of genomic data. Analysing biological datasets and identifying relationships within them is challenging - some of the process can be automated but interactive exploration offers a number of advantages, and supports serendipitous discovery.This project looks at visual analytics and sonification - the use of sound and musical encodings - to enhance our understanding of biological networks.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Scalable software solutions for improving the CRISPR gene editing system
The CRISPR-Cas9 technology allows the modification of virtually any gene in any organism of interest. It has generated a lot of interest, both in the research community and the general population.One of the crucial components of CRISPR experiments is the design of the 'guide RNAs' that will control where modifications occur. We have developed a software pipeline, named Crackling, to identify safe and effective guide RNAs across entire genomes.We are seeking to expand and improve various aspects of our current …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Basic aircraft collision risk modelling and visualisation
Aircraft collision risk modelling is complex yet key to ensuring safe air transport (both crewed and uncrewed aircraft). Different collision risk models are better suited to different airspace environments which means model comparison and evaluation is an important research problem. This project takes a deeper look into a specific collision risk modelling approach: gas models.
- Study level
- Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
Visualisation of CRISPR targets
CRISPR-Cas9 technology allows us to modify virtually any gene in any organism of interest. It has generated a lot of interest, both in the research community and the general population.One of the crucial components of CRISPR experiments is the design of the 'guide RNAs' that will control where modifications occur.We have developed a software pipeline, named Crackling, to identify safe and effective guide RNAs across entire genomes. We're now seeking to develop a visualisation to communicate the results produced by …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Hierarchical visualisation of large social networks
Networks have been extensively used to capture social interactions, by representing individuals as nodes and their relationships as edges.Such networks have been used to model the spread of epidemics. A few nodes are 'infected', and over time they gradually infect their neighbours on the network, who in turn infect their neighbours, etc. This type of model can then be used to simulate different intervention strategies aimed at containing outbreaks.However, an important limitation is the difficulty to visualise these networks when …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Interactive art
This suggested practice-based research project seeks, overall, to ask how interactive art engages audiences, how it is created and, depending on the applicant's interest and expertise, how it might be a collaborative effort between artist and technologist.ituated within the nascent area of interactive art, contributing new understandings and research into the form and design of interactive art works; and new insights into audience experience of interactive art.The project can engage with themes and theories in its exploration of interactive art …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
Design Lab
Participatory Visualisation of Smart City Data
This PhD project will be affiliated with FrontierSI and Value Australia and contribute to its goals and objectives around smart cities, digital twins, and automated land valuations. Although consumers contribute much of the data upon which these smart city technologies operate, its systems often remain opaque black boxes closed off to public understanding, scrutiny and control. There are also serious concerns around privacy and loss of autonomy.This PhD project addresses these issues by exploring new methods for the participatory visualisation …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
Design Lab
Empowering communities with DataCare: ethical data practices for smart cities
Smart cities hold immense potential for progress, but their success hinges on citizen empowerment and ethical data practices. Our research initiative, DataCare, aims at reshaping the landscape of smart cities by prioritising citizens, communities, and small businesses. This project, developed in collaboration with Brisbane Residents United (BRU), focuses on transforming smart cities from profit-driven entities to community-led developments.BRU is a community association serving as a vital grassroots advocacy and peer support network for suburban and local resident groups across Greater …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
- Digital Media Research Centre
Design Lab
Illuminating the microbial world using genome-based fluorescence microscopy
Our understanding of microbial diversity on earth has been fundamentally changed by metagenomic characterisation of natural ecosystems. Traditional approaches for visualising microbial communities are time-consuming and provide limited information about the identity of specific microorganisms.The proposed research aims to combine single cell genomics and super resolution microscopy for novel, high-throughput, genome-based techniques to visualise microorganisms, plasmids and viruses, with strain level specificity.The application of these highly scalable approaches will provide comprehensive and unprecedented insight into the fine-scale dynamics and evolution …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
-
Centre for Microbiome Research
Immersive audio data visualisation for better engagement of residential communities exposed to aircraft noise pollution
This PhD project addresses the significant issue of misleading noise data in the context of residential communities exposed to aircraft noise pollution. Despite efforts by authorities to provide noise exposure forecasts and information based on the Australian Noise Exposure Forecast (ANEF) approach, many communities feel misled by the noise contours presented to them. Experiences from previous major development projects at Australian airports have shown a range of problems with relying solely on the ANEF as a noise information tool as …
- Study level
- PhD, Master of Philosophy
- 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
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