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 6 matching student topics
Displaying 1–6 of 6 results
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
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
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
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, Vacation research experience scheme
- School
- School of Information Systems
- Research centre(s)
- Centre for Data 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
HoliCOW – A holobiont strategy to decipher core host-microbiota interactions in cows
To meet the goal of limiting global warming to 1.5C, methane emissions from ruminants such as beef and dairy cattle must be reduced by 11–30% by 2030 and by 24–47% by 2050 compared to 2010 levels. A newly funded Future Fellowship project is hiring 2 PhD students who will tackle this challenge by creating a thorough mechanistic understanding of the microbiological, biochemical and genetic processes that cause methanogenesis in the cow rumen. These activities will identify core beneficial microbiota that …
- Study level
- PhD
- School
- School of Biomedical Sciences
- Research centre(s)
-
Centre for Microbiome Research
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