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 64 matching student topics
Displaying 37–48 of 64 results
Efficient Parameter Estimation for Stochastic Simulations
Stochastic simulation-based models are routinely used in many areas of science to describe inherent randomness in many real-world systems. Applications include the study of particle physics, imaging if black holes, biochemical processes, the migration of animals, and the spread of infectious diseases. To apply these models to interpret data requires statistical methods to estimate model parameters.Unfortunately, standard statistical techniques are not capable of analysing data using these models. This is largely due to the model likelihood, the probability of the …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Uberizing charging station allocations for electric vehicles
Uberization refers to the use of digital services to offer direct contact between service providers and service seekers (Bootz et al., 2022), which provides new opportunities for peer-to-peer charging of electric vehicles (Hu et al., 2021).In this project, we explore the uberization of peer-to-peer charging from a sharing economy perspective and analyse opportunities for service innovation of electric vehicles.ReferencesBootz, J.-P., Michel, S., Pallud, J., & Monti, R. (2022). Possible changes of Industry 4.0 in 2030 in the face of uberization: …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Evaluation of language models and word embedding methods for natural language processing applications
In deep learning models, language models and word embedding methods have become popular to understand the context of text data. There exist many variants of these methods and have different limitations. This project will introduce you to the hot topic of language models and the fields of Natural Language Processing and Text Mining.
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Optimisation of piezoelectric materials for robotics applications
Piezoelectricity, which translates to “pressure electricity”, is the phenomenon in which certain materials convert mechanical energy to electrical energy, and vice versa. Such materials are common-place and are used in a variety of applications including sensor, actuator, and energy harvesting technologies. The capabilities of such piezoelectric materials have not yet been fully realised. We plan to use computational structural optimisation to design new piezoelectric materials and components that may contribute to novel sensing technologies for robotics applications. Essentially, robots need …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Low-cost portable Magnetic Resonance Imaging for clinical applications
The aim of this project is to develop accurate low-cost medical imaging methodology for pseudo-3D mapping of Mammographic Density (MD) within the breast. MD is the degree of radio-opacity (“whiteness”) in an X-ray mammogram. It has implications for breast cancer risk, ease of detection of breast cancer, and monitoring of the efficacy of hormonal breast cancer prevention or anti-cancer treatments.Healthcare ChallengeThere is a growing need for affordable and accurate quantitative assessment of MD without ionising radiation. Magnetic resonance imaging (MRI) …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
Antibiotic-loaded polymer nanoparticulate inhaled formulations against lung infections associated with COPD and CF
Lower respiratory tract infections (LRTIs) are one of the fatal diseases of the lungs that have severe impacts on public health especially the Indigenous people. The currently available antibiotics administered orally for the treatment of LRTIs need high doses with frequent administration and cause dose-related adverse effects.To overcome this problem, we will investigate the development of antibiotic-loaded polymer nanoparticles (NPs) for potential pulmonary delivery from dry powder inhaler (DPI) formulations. This study will address the release profile of the antibiotic …
- Study level
- PhD
- School
- School of Clinical Sciences
- Research centre(s)
- Centre for Materials Science
Centre for Immunology and Infection Control
Growth and characterisation of epitaxial graphene for electronic and sensing applications
The extraordinary properties of graphene, a single sheet of carbon atoms (e.g. monodimensional structure, high conductivity, low-noise characteristics) are expected to be exploited in the next generation of electronic devices and gas sensors. These applications require a perfect control of the growth of graphene layers, and an optimum integration with the processes and materials used in the semiconductor industry.This project aims at studying the growth of graphene obtained by heating crystalline SiC at high temperature in Ar atrmosphere and ultra …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Tree-chain: a fast lightweight consensus algorithm for IoT applications
In recent years, blockchain adaptation in IoT has received tremendous attention due to its salient features including distributed management, security, anonymity, and auditability. However, conventional blockchains are significantly resource demanding and suffer from lack of throughput, delay in committing transactions, and low efficiency. We recently introduced a novel blockchain consensus algorithm known as Tree-chain, that bases the validator selection on an existing feature in all blockchains: hash function. Tree-chain achieves a fast throughput while ensuring the randomness and unpredictability of …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Computer Science
Mean exit time calculations in complicated geometries
Calculating the duration of time required for a diffusive process to end is a classical problem in mathematics, engineering, biology and economics. The concept of mean exit time is widely used to study transport phenomena in biology, such as calculating the duration of time required for a protein created in a cell nucleus to reach the cell membrane. While many exact calculations of mean exit time are known for simple geometries and homogeneous media, exact solutions are rare for complicated …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Building metallo-supramolecular cages for sensing and catalytic applications
The concept of creating molecular electronic devices has resulted in the development and rapid advance of the field of supramolecular chemistry.In this project we are particularly interested in how we can use simple building blocks to self-assemble into complex, functional structures both in solution and at the solution:surface interface.These types of structures have shown great promise in applications such as catalysis, sensing, drug delivery and even in the development of molecular machines.AimsThis project aims to:design, synthesise and characterise complex metallo-supramolecular …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Understanding international governance in Antarctica through cooperative game theory
Antarctica is governed by a coalition of 29 countries ('consultative parties') who must agree unanimously before a law can be passed. This project will apply theories from social network analysis and cooperative game theory to map relationships between the different parties, and to predict their behaviour on a series of important environmental issues.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
-
Centre for the Environment
Data Management and Privacy Law for Transnational Corporate Entities
Dr Lucy Cradduck is looking for PhD/MPhil candidates wishing to examine cross-jurisdictional data management and privacy concerns for transnational corporations, particularly comparing EU, South East Asian nations and Australia. Candidates with an interest in approaching the topic through empirical approaches involving interviews and stakeholder engagement are particularly encouraged. This topic is led by the QUT School of Law within the Datafication and Automation of Human Life research group.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Law
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