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.

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Found 502 matching student topics

Displaying 361–372 of 502 results

Multi-UAV navigation in GPS denied environments

The aim of this research is to develop a framework for multiple Unmanned Aerial Vehicles (UAV), that balances information sharing, exploration, localization, mapping, and other planning objectives thus allowing a team of UAVs to navigate in complex environments in time critical situations. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining Simultaneous Localization and Mapping (SLAM) algorithms with Partially Observable Markov Decision Processes (POMDP) and Deep Reinforcement learning. This should provide significant benefits, …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

Elucidating the gas-phase reactivity and photochemistry of halide anions

Bromine and iodine are suspected to be responsible for most of the halogen-induced ozone loss in the stratosphere but are not currently included in atmospheric models due to a paucity of knowledge of the gas-phase chemistry and photochemistry of their anions and radicals.This project will develop and deploy advanced mass spectrometry and laser spectroscopy techniques to enable precision measurements of the reactions and photo- reactions of gas-phase iodide and bromide anions and their oxides.These state-of-the-art measurements of reaction kinetics and …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Materials Science

Time-series analysis of 2D diffraction patterns for Synchrotron rock physics

The interaction between deformation, fluid flow, chemical reactions, and heat flow in rocks constitutes a research frontier in the Earth Sciences. In addition to fundamental academic interest in this subject, there are many applied industrial problems, which require a sound understanding of this coupling. Examples include: the long-term sequestration of carbon dioxide in rocks, the energy-efficient processing of future-mineral resources, the design of unconventional geothermal-energy operations, and the prediction of earthquakes and volcanic eruptions.The advisory team pioneered new methods for …

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

Surrogate models for accurate prediction and inference in mathematical biology

High fidelity mathematical models of biological phenomena are often complex and can require long computational runtimes which can make computational inference for parameter estimation intractable.  In this project we will overcome this challenge by working with computationally simple low fidelity models and build a simple statistical model of the discrepancy between the high and low fidelity models.  This approach provides the best of both worlds: we obtain high accuracy predictions using a computationally cheap model surrogate.

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

Investigating factors impacting urban heat vulnerability in subtropical cities

In recent years, with the rise in climate change impact, urban heat has become a major issue for many cities to tackle consequently. Extreme heat events are becoming more frequent and intense due to climate change, which has directly caused a substantial increase in heat-related morbidity and mortality. This indispensably puts an extra burden on medical systems and national finance. Meanwhile, the urban heat island effect has been exaggerating the consequences caused by the increased extreme heat in metropolitan areas. …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

Finite element modelling of 3D auxetic structures

Protection of structures has become a priority for saving lives and preventing structural collapses caused by increased natural or man-made disasters. Most injuries and mortalities in these disasters are caused due to fragmentation of structures, and therefore, structural protection through systems that can absorb more energy and effectively contain the fragments (debris) are needed. Additive manufacturing (such as 3D printing) can be used to develop special geometries called auxetic geometries and composites using sustainable bioplastics which can absorb shock energy …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering
Research centre(s)
Centre for Materials Science

High energy absorbing materials and composites for building protection from collision damage

Protection of structures has become a priority for saving lives and preventing structural collapses caused by increased natural or man-made disasters. Most injuries and mortalities in these disasters are caused due to fragmentation of structures, and therefore, structural protection through systems that can absorb more energy and effectively contain the fragments (debris) are needed. Additive manufacturing (such as 3D printing) can be used to develop special geometries called auxetic geometries and composites using sustainable bioplastics which can absorb shock energy …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering
Research centre(s)
Centre for Materials Science

Improving the resilience of older masonry building roofs against winds and cyclones

Wind and cyclonic actions are important in the design of new buildings in many Australian regions including in QLD. Cyclone Tracy in NT proved that older masonry building were particularly vulnerable to cyclonic actions, and the even resulted in the improvement of construction codes.However, there are many buildings that predate the introduction of modern codes. These buildings may be vulnerable to wind and cyclonic actions. This project has been designed to study the wind vulnerability of older masonry buildings and …

Study level
Honours
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering
Research centre(s)
Centre for Materials Science
Centre for the Environment

Citizen-developers: challenges and opportunities for low-code/no-code automation

Robotic Process Automation (RPA) is becoming a popular choice for organisations to support their digital transformation and to maintain operational resilience. Many organisations are keen to adopt Robotic Process Automation (RPA) to dramatically improve operational efficiency. Many organisations train and assign their staff as “citizen-developer” to design, test, and maintain the bots using Low-Code/No-Code platforms. However, there are number of issues surfaced when using organisational employees as citizen developer ranging from technical & process capabilities to scalability of RPA.

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems
Research centre(s)
Centre for Data Science

Alleviating corruption: a data driven perspective

Corruption is cited as among the greatest challenges faced by government and citizenry the world over and threatens to undermine the very trust that is essential for a functioning democratic society. In order to earn and maintain public trust, governments at all levels must continuously strive to reduce corruption and uphold the highest levels of integrity.Amidst the countless human interactions and electronic transactions that occur within the public service on a daily basis are a complex and ever-changing variety of …

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

Big Data ideas for GLMs

The goal of this project is to develop new Bayesian methods for large-scale data analysis using subsampling techniques. The focus of the project will be on generalised linear models (GLMs), which are commonly used models in statistics and machine learning.One of the main challenges in using Bayesian statistics with big data is the high computational cost associated with processing big datasets. The proposed project aims to address this challenge by developing new subsampling techniques for Piecewise Deterministic Markov Process (PDMP) …

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

Polymer theranostics for nanomedicine

The personalised treatment of disease though nanomedicine will allow for more effective and safer treatments for patients. Polymer theranostics provide for the simultaneous detection of disease, treatment, and monitoring of therapeutic response. Our research group synthesises new polymeric materials and investigates how they can be used in applications such as:potent antivirals to fight future pandemicsthe effect of radiation on materials for improved radiotherapy for cancerresponsive imaging agents that can report on metabolic processes of diseasecharacterizing the interaction of polymeric materials …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Materials Science

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