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
Facilitating gaining trust in IOT systems
Many organisations have shown an increasing interest in deploying IOT systems. However, most of them and their stakeholders are new to these systems, and it is difficult for them to trust the technology. What are the technological, managerial and societal aspects that contribute to trust in IOT systems? What can we do to improve the level of trust and increase adoption of the technology?
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Trust in Internet-of-Things with blockchain
Blockchain is an unchangeable, distributed database that provides trust in data once it is stored on the database. However, in Internet-of-Things (IoT), the data is an observation of physical context and is susceptible to noise, drift, or malicious alterations. Sensors may even be decoupled from their intended context by an attacker, which may compromise the blockchain data and its value for guiding decisions.This project aims to develop an innovative approach for pervasive trust in IoT, underpinned by blockchain. The research …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Engineering Chimeric Antigen Receptor (CAR) T cell for the treatment of cancer
Chimeric Antigen Receptor (CAR) T cells are genetically modified immune cells that can recognise and kill cancer cells. They do so through the CAR, which recognises specific antigens expressed on cancer cells. CAR T cell therapy has emerged as an effective form of cancer immunotherapy in certain types of blood cancers and are now approved for use in patients. However, CAR T cell therapy can only benefit a very small proportion of cancer patients at present because it is very …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Real-time Business Process Integration in the Industrial Internet of Things (IIoT) for Industry 4.0
The vision of Industry 4.0 is to support business capabilities at the edge. The Industrial Internet of Things (IIoT) enables this vision by integrating IoT with Enterprise Systems (ESs). In an IIoT process, sensor applications at the edge require seamless integration with the software services of ESs. This, in turn, facilitates the real-time correlation of sensor events with BPs. However, existing IIoT architectures lack the necessary architectural capabilities to reflect the true essence of Industry 4.0.This research aims to develop …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Development of a machine learning algorithm for high throughput cell response data in drug therapy
High-throughput screening assays are essential for accelerating drug discovery, but current assays often rely on endpoint measurements that do not capture the dynamic response of cells to drug treatment. Machine learning algorithms (MLAs) have the potential to enable real-time, high-throughput monitoring of cell response to drug treatment by analyzing complex datasets generated by multiplexed live-cell assays. This research project aims to develop an MLA for enabling high throughput cell response data in drug treatment. The project will involve three main …
- Study level
- Honours
- School
- School of Computer Science
- Research centre(s)
- Centre for Biomedical Technologies
Centre for Biomedical Technologies
5G and IoT smart ontology learning
This project aims to investigate privacy preservation protocols in a 5G integrated IoT environment through an analysis of the depth of smart-device use in common smart domains. 5G’s addition to IoT-based smart devices will be effectively deployed and utilised by a large majority of individual and organisation-based users. The knowledge-based ontology and tools developed in the project will help form the new privacy preservation mechanisms that are required for the 5G enabled environment.The development of an ontology for 5G enabled …
- Study level
- PhD, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
New antimicrobial compounds with biofouling properties
Bacteria can readily adhere to the surface of synthetic materials and form a biofilm which is much more difficult to combat than circulating bacteria due to their extreme resistance to antibiotics. Thus, biofilms are of particular concern in the healthcare system, where they increase infection rates by contaminating medical devices, delay chronic wound healing and contribute to tooth decay. In systems used to transport water and oil, biofilms are associated with pipe blockages and corrosion which can result decreased efficiencies …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
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
Characterisation of emerging multidrug resistant E. coli pathogens
The last fifteen years have witnessed an unprecedented rise in the rates of antimicrobial resistance among Gram-negative bacteria, described by the World Health organisation as a global health crisis (1). Escherichia coli sequence type 131 (E. coli ST131) is a ‘high-risk’ group of Gram-negative pathogens that have emerged rapidly and spread worldwide in the period of the last 10 years (2). E. coli ST131 strains are typically resistant to multiple classes of antibiotics and cause bloodstream and urinary tract infections …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
A preclinical evaluation pipeline for new antivirulence drugs targeting multidrug resistant bacterial pathogens
A post-antibiotic era—in which common infections and minor injuries can kill—far from being an apocalyptic fantasy, is instead a very real possibility for the 21st century.’ - WHO, 2014 (1). Antimicrobial resistance (AMR) is a global public health priority. If no action is taken, AMR is predicted to kill more people than cancer and diabetes combined by 2050, with 10 million deaths estimated each year and a global cost of up to 100 trillion USD. New therapies to tackle multidrug …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Mathematical modelling of cell-to-cell communication via extracellular vesicles (EVs)
Extracellular vesicles (EVs) are membrane bound packages of information constantly being released by all living cells, including bacteria. There are many types and sizes of EVs. Each EV type contains its own distinctive cargo consisting of characteristic DNA, RNA, and proteins. We are just beginning to understand the many roles of EVs to maintain the health of the cell producing the EVs, and to communicate with other cell types that take up the EVs produced by neighbouring cells. Since EVs …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Understanding energy demand behaviours in Internet of Vehicles (IoV) systems
The internet of vehicles (IoV) plays an important role in the internet of things (IoT) value system. IoV enables vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications through enhanced connectivity and data-driven decision-making. However, given the importance of energy infrastructures in IoV systems (Shen et al., 2021), the role of energy demand behaviours is yet overlooked.In the context of electric vehicles as low-emission consumer energy resources (Degirmenci & Breitner, 2017), V2V and V2I networks improve the communication with other vehicles and charging …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
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