Student topics

Tumour cells excrete exosomes, membrane vesicles (30-150 nm diameter) that encapsulate and transport proteins, metabolites and genetic material. They mediate intercellular communication within the tumor microenvironment, metastasis formation via circulation, and development of drug resistance. Circulating tumor-derived exosomes can be isolated from blood patients as a non-invasive liquid biopsy.The chemical composition and overall properties of the exosomal membranes are expected to be similar to those of parent cell membranes and to modulate blood circulation time, and uptake and targeting of …

Study level

Master of Philosophy, Honours

Faculty

Faculty of Health

School

School of Biomedical Sciences

To meet the goal of limiting global warming to 1.5C, 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

Rainfall prediction plays a crucial role in various sectors such as agriculture, water resource management, and disaster preparedness. Traditional prediction methods often rely on complex meteorological models and expensive equipment. However, advancements in energy harvesting technology offer the opportunity to develop low-cost and sustainable solutions for rainfall prediction.This project proposes to leverage solar and vibration energy harvesting for rainfall prediction. Combined measurements from both solar and vibration energy harvesting can provide comprehensive data for real-time monitoring of cloud coverage and …

Study level

Honours

School

School of Information Systems

Existing machine learning-based intelligent systems are autonomous and opaque (often considered “black-box” systems), which has led to the lack of trust in AI adoption and, consequently, the gap between machine and human being.In 2018, the European Parliament adopted the General Data Protection Regulation (GDPR), which introduces a right of explanation for all human individuals to obtain “meaningful explanations of the logic involved” when a decision is made by automated systems. To this end, it is a compliance that an intelligent …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Information Systems

Research centre(s)

Centre for Data Science

Modern predictive analytics underpinned by AI-enabled learning (such as machine learning, deep learning) techniques has become a key enabler to the automation of data-driven decision making. In the context of process monitoring and forecast, predictive analytics has been applied to making predictions about the future state of a running process instance - for example, which task will be carried out next, when and who will perform the task, when will an ongoing process instance complete, what will be the outcome …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Information Systems

Research centre(s)

Centre for Data Science

In deep learning models, language models and word embedding methods have become popular to understand the context of text data. Popular language models such as BERT have limitations in terms of the token length. There exist some corpora that have longer text with an average of 1000 tokens. Additionally, these corpora are text-heavy and only include some images.In our prior works, we have developed several multi-modality models on social media datasets.

Study level

Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Computer Science

Research centre(s)

Centre for Data Science

In the 21st Century, there is an abundance of data, often containing insights that could benefit a number of stakeholders. However, despite this opportunity, it is often the case that the data is sensitive and can not be released by organisations or government agencies due to privacy concerns. One possible solution to the above dilemma is to instead carefully construct a 'twin' data set that contains similar information (and ideally, the same insights) as the original data set, but without …

Study level

Honours

Faculty

Faculty of Science

School

School of Mathematical Sciences

Research centre(s)

Centre for Data Science

Software vulnerability is a major threat to the security of software systems. Thus, the successful prediction of security vulnerability is one of the most effective attack mitigation solutions. Existing approaches for software vulnerability detection (SVD) can be classified into static and dynamic methods. Powered by AI capabilities, especially with the advancement of machine learning techniques, current software has been produced with more sophisticated methodologies and components. This has made the automatic vulnerability proneness prediction even more challenging. Recent research efforts …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Science

School

School of Computer Science

Accurately mapping large-scale infrastructure assets (power poles, bridges, buildings, whole suburbs and cities) is still exceptionally challenging for robots.The problem becomes even harder when we ask robots to map structures with intricate geometry or when the appearance or the structure of the environment changes over time, for example due to corrosion or construction activity.The problem difficulty is increased even more when sensor data from a range of different sensors (e.g. lidars and cameras, but also more specialised hardware such as …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

Research centre(s)

Centre for Robotics

This project will explore and develop techniques for control and vision in submarines to allow for robust and effective manipulation capabilities - autonomous control of an underwater mobile manipulator in the presence of current and reactionary forces.Underwater maintenance: A submarine mobile manipulator can carry out underwater maintenance and monitoring, for example, dam wall maintenance or ship hull cleaning.Coral reef: A submarine mobile manipulator which can collect samples, remove rubbish, remove invasive species, and/or monitor.Alternatively, these same underlying ideas could be …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

Optical limiting uses a medium’s nonlinear response to allow light at low intensities to be transmitted, but restricts transmission at high intensities so as to safeguard sensitive detectors including the eye. A popular nonlinear process used in optical limiters is two photon absorption where two high intensity light photons are simultaneously absorbed thereby reducing the light transmission through the medium. Unfortunately, in gold nanoparticle optical limiters a second nonlinear process can arise – saturated absorption which leads to an increase …

Study level

Honours

Faculty

Faculty of Science

School

School of Chemistry and Physics

Research centre(s)

Centre for Materials Science

Avatar representation is found to be crucial for user engagement in various types of applications and user identifications with avatars. This project aims to design and develop an environment where users can customize their avatars by looking at a virtual mirror. In this project, where users will be trained in diversity awareness, it is crucial for them to feel like the character who is in the scenario. The outcome of the project will be used in experiments to test the …

Study level

Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Computer Science