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 462 matching student topics
Displaying 385–396 of 462 results
Automation/RPA in Healthcare
Investigate the potential applications of RPA/ Process Automation in the healthcare sector. Explore how RPA/Process Automation can streamline administrative tasks, improve patient data management, enhance healthcare delivery processes, and support clinical decision-making. Address the challenges and opportunities of implementing RPA in highly regulated environments like healthcare.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Functional characterisation of putative salicylic acid hydroxylases from banana (Musa spp.)
Bananas (Musa spp.) are one of the most important fruit crops worldwide and are consumed by millions of people as a staple food. However, bananas are under threat from a wide range of fungal, bacterial and viral diseases which significantly impact their production and quality. Salicylic acid plays a key role in plant-microbe interactions and acts as a vital component in systemic acquired resistance (SAR), enabling plants to mount a long-lasting defence response against a wide range of pathogens. In …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
- Research centre(s)
- Centre for Agriculture and the Bioeconomy
Quantifying sedimentation on reefs using Google Earth Engine
Decreasing water quality is negativtly impacting coral reefs globally and is a threat that can be actively managed.
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Earth and Atmospheric Sciences
- Research centre(s)
-
Centre for the Environment
Mathematical tools for stochastic and continuum transport models
Mathematical models of particle transport are fundamental to many applied disciplines including physics, biology, ecology and medicine. Particle transport is typically modelled using either a stochastic model, where probability rules govern the motion of individual particles, or a continuum model, where partial differential equations govern the concentration of particles in space and time. This project aims to use analytical and numerical techniques from applied and computational mathematics to address one or both of the following questions:what is the average time …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Assessing coral rubble restoration on the Great Barrier Reef
Coral reefs face cumulative threats from climate change to shipping and the concern is that this can cause reefs to transition from coral to rubble dominated states. The formation of coral rubble is a natural part of the reef cycle, however, too much rubble can decrease the resilience of reefs and prevent recovery. A number of coral rubble stabilisation methods are being utilised globally including Mars Assisted Reef Restoration System of hexagonal metal units that are deployed on reefs with …
- Study level
- Master of Philosophy, Honours
- School
- School of Earth and Atmospheric Sciences
- Research centre(s)
-
Centre for the Environment
Modelling of sugar cane crushing
Cane sugar factories, while producing sugar and molasses, provide their own energy and power from the sugar cane biomass residue, are green house gas neutral and can export renewable electricity to the grid. The performance of the milling train in extracting juice and dewatering the biomass bagasse residue are key components of the operation. Understanding and modelling the process are seen as a way forward to improve the performance, for example by reducing the final bagasse moisture below the current levels.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Agriculture and the Bioeconomy
Pulse Power Generator electronics design and construct
Pulse power shows great promise for many applications including air and water purification. Repetitive Pulse Power Generators (PPGs) generate medium frequency power pulses (few kW) with small duration (few us to few ns) and with repetition frequencies of a few hundred Hz to a few kHz (see DOI: 10.1109/ACCESS.2019.2947632 for more info).The PPGs are constructed from series connected cells often in Marx generator like structures, but with active semiconductor switches such as MOSFETs in place of the traditional spark gaps …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Promoting incidental physical activity and social interactions in public space
The World Health Organisation recently raised the alarm on the critical importance of physical activity and social interactions for mental and physical health, highlighting the need for active environments that support people to engage in healthy activities. In order to address the high-rates of physical inactivity and social isolation, we need additional research evidence to design high-quality public spaces that promote health and wellbeing for all ages. This study lies at the intersection of built environment, human behaviour, and health …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
Machine Learning-based pedictive tool for energy storage
The fundamental idea behind the ML approach is to analyze and map the relationships between the physical,chemical, and energy storage properties of materials with their associated output data. This early understanding of the energy storage capabilities through the ML approach helps the material scientists to clearly understand, discover, and optimize the fabrication process to develop highly efficient energy storage systems. It also provides key steps in the device fabrication process omitting excessive experimental stages.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Anode-free Batteries
The lithium-metal battery (LMB) has been regarded as the most promising and viable future high-energy-density rechargeable battery technology due to the employment of the Li-metal anode. However, it suffers from poor energy density and safety, and improved battery design is sought. The anode-free full-cell architecture is constructed from a fully lithiated cathode with a bare anode Cu current collector. In such an anode-free lithium battery, both the gravimetric and volumetric energy densities can be extended to the maximum limit. Moreover, …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Phosphate-based polyanionic cathode materials for (post) Li-ion batteries
Mixed polyanionic compounds have been studied extensively as viable cathode materials for sodium-ion batteries. Mixed phosphates Na4M3(PO4)2P2O7 (M = Mn2+, Fe2+, Co2+, Ni2+), provide a low barrier for Na-ion diffusion, being advantageous in comparison to phosphates and pyrophosphates. Despite being structurally similar, electrochemical performance differs for their analogues with different degrees of (de)sodiation, according to the transition element present. This project will develop series of mixed phosphates using novel rapid heating methods to achieve desired electrochemical properties.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Statistics via scalable Monte Carlo
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
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