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 23 matching student topics
Displaying 13–23 of 23 results
Hospital readmission prediction with domain knowledge
The Australian Commission on Safety and Quality in Health Care (the Commission) has highlighted that reducing avoidable hospital readmissions supports better health outcomes, improves patient safety and leads to greater efficiency in the health system. Previous studies have reported that up to 11% of the Emergency (ED) population are "heavy users" with a higher prevalence of psychosocial problems and often co-existing chronic medical conditions. All Australian governments have committed to reforms under the National Health Reform Agreement Addendum,1 and the …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Combining solar and vibration energy harvesting for rainfall prediction
Rainfall prediction plays a crucial role in various sectors such as agriculture, water resource management, and disaster preparedness. Traditional prediction methods often rely on complex meteorological models and expensive equipment. However, advancements in energy harvesting technology offer the opportunity to develop low-cost and sustainable solutions for rainfall prediction.This project proposes to leverage solar and vibration energy harvesting for rainfall prediction. Combined measurements from both solar and vibration energy harvesting can provide comprehensive data for real-time monitoring of cloud coverage and …
- Study level
- Honours
- School
- School of Information Systems
Hospital readmission prediction with domain knowledge
The Australian Commission on Safety and Quality in Health Care has highlighted that reducing avoidable hospital readmissions supports better health outcomes, improves patient safety and leads to greater efficiency in the health system. Previous studies have reported that up to 11% of the emergency (ED) population are 'heavy users' with a higher prevalence of psychosocial problems and often co-existing chronic medical conditions. All Australian governments have committed to reforms under the National Health Reform Agreement Addendum,1 and the ability to …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Machine learning for understanding and predicting behaviour
Understanding behaviour and predicting events is a core machine learning task, and has many applications in areas including computer vision (to detect or prediction actions in video) and signal processing (to detect events in medical signals).While a large body of research exists exploring these tasks, a number of common challenges persist including:capturing variations in how behaviours or events appear across different subjects, such that predictions can be accurately made for previously unseen subjectsmodelling and incorporating long-term relationships, such as previously …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Low Cost Catalysts for Biofuels Production
As the world transitions from fossil fuels to biomass based fuels there is a corresponding drive to create new technologies to enable this situation to come to fruition.Biofuels represent one option in terms of mitigating the impacts of global warming.The conversion of biomass to biofuels typically requires a catalyst. Many different materials have been investigated, with zeolites showing considerable promise.However, zeolite catalysts can be expensive and thus there is a challenge to create new catalysts which are low cost.This project …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
Model predictive control of connected vehicle platoons
Control of connected vehicle platoons can ensure the swift movement of traffic through a city by sharing vehicles' states and desired actuation. This networked control design can alleviate traffic jams, reduce vehicle emissions, and reduce fuel usage through improved aerodynamics. Model Predictive Control algorithms are a natural solution to address constraints arising from both communications and system dynamics. A key challenge is to design distributed control algorithms that are robust to disturbances in the environment and to stochastic information from …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Life cycle assessments in the hospital space for waste reduction
Recovering, recycling, reuse and reducing waste in the health sector becomes more and more important as it will help hospitals to become more sustainable and to reduce their impact on greenhouse gas emissions. Life cycle assessments of materials, for examples plastic packaging, is an important tool to establish the best practice for recovery and recycling of these materials.
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
-
Centre for a Waste-Free World
Developing predictive models, methods and analytics for complex sports data
A 3-year strategic partnership on sports data science between the Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and the Queensland Academy of Sport (QAS) was launched in the past few months. With a drive towards data informed decision making across the high performance sports network nationally, a number of collaborative, interdisciplinary research and scholarship opportunities ranging from VRES, to honours, masters and PhD have developed.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Australian Ganoderma species for the production of bioactive metabolites and new functional materials synthesis
Fungi are essential components of all ecosystems in roles including symbiotic partners, decomposers and nutrient cyclers and as a source of food for vertebrates and invertebrates. While vital to soil health and organic matter turnover, fungi have great potential in sustainable design and medicine.Ganoderma strains in particular produce bioactive compounds and display growth characteristics that favour their use in medical and applied biotechnology. Some species produce triterpenoids, such as ganoderic acids, and have been used in traditional Asian medicine for …
- 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
Hydroponic mushroom production
Lions mane strains are capable of producing very small fruiting bodies (mushrooms) in static liquid culture. In this project we will try establish parameters and conditions that favour mushroom synthesis on a liquid surface. If we can understand how and why this species produces mushrooms on a liquid surface – we may be able to target genes that could improve yields and tendency to grow hydroponically.'Hericium erinaceum (Bull.: Fr.) Pers. is an edible fungus of great significance in medicine. It …
- 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
From a descriptive to a predictive understanding of the human microbiome
Microorganisms have a profound influence on biological, environmental, and industrial processes, but understanding the complex dynamics of microbial communities and how to manipulate them to our advantage remains a challenge. CMR Director Professor Gene Tyson has recently been awarded a prestigious ARC Laureate Fellowship that aims to overcome current technological limitations and transform microbial ecology from a descriptive to a predictive science. This will be achieved using as a model the most intensively studied ecosystem on the planet: the human …
- Study level
- PhD
- School
- School of Biomedical Sciences
- Research centre(s)
-
Centre for Microbiome Research
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