Student topics

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

Osteosarcoma (OS) is the most common malignant bone tumour affecting children and adolescents. Importantly, clinical outcomes have not improved for decades, and bone tumours remain to be a leading cause of cancer-related death in adolescents.By identifying ideal treatment approaches for each individual patient, precision oncology has the potential to significantly improve these outcomes. Yet, its widespread application is hindered by a lack of biomaterials that support the reproducible and robust generation of patient-derived osteosarcoma organoids in vitro.Therefore, this project will …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Health

School

School of Biomedical Sciences

Research centre(s)

Centre for Biomedical Technologies

LiDAR geo-spatial data (3D coordinates) are freely available from government websites such as "QSpatial data portal". Alternatively, the use of drones have also become popular in aerial surveys and imagery.The geospatial data from these sources include 3D coordinates of various built structure. The data can be downloaded (in case of LiDAR) or processed from images (in case of drone survey) to create actual 3D picture of building structures. This work is commonly done using rendering software. The use of this …

Study level

Honours

Faculty

Faculty of Engineering

School

School of Civil and Environmental Engineering

Research centre(s)

Centre for the Environment

Extreme heatwaves and other extreme weather events are contributing to the fragility of cities and urban infrastructure, which requires urgent attention. Urban heat islands are an exemplar for metropolitan fragile areas, which exacerbate the impact of climate change and global warming on natural hazards, such as wildfires, storms, floods, and droughts, which pose a critical threat to Australian and international communities (Degirmenci et al., 2021). Decision support systems (DSS) can help city planners and policymakers to optimise their decision-making by …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Business and Law

School

School of Management

Research centre(s)

Centre for Future Enterprise

This project seeks to leverage recent advances in machine vision and natural language processing algorithms to support the design and development of knowledge-driven applications that support communication and collaborations with their users.One particular area where this will be investigated is in workplaces for supported employment, that is employment opportunities for people with intellectual disability. One of the questions to address is how machines could respond to what a user shows them in order to assist with decision making in a …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Computer Science

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

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

Meta-heuristics are powerful search algorithms for solving intractable optimization problems. There are many population based approaches, like genetic algorithms, evolutionary algorithms, particle swarm, etc. but most of these have a static population size.Viruses arise and attack populations periodically. They typically appear when populations become abundant. Viruses infect population members, and often reduce the number of individuals. Viruses create spaces for more individuals and balance competition.The concept of viruses may be mimicked and could be a useful optimization paradigm.

Study level

Honours

Faculty

Faculty of Engineering

School

School of Mechanical, Medical and Process Engineering

Legume-supported value chains, from production to consumption, provide benefits to people and nature that include improved ecosystem functions and resource use efficiency, as well as farmed animal and human health provisions. Environmental co-benefits of legumes include reduced nitrate leaching, increased food sources for pollinators, a greater structural diversity of farmland, and improved soil fertility. Despite the potential of legumes to improve the sustainability of cropping systems and enhance human health, the production and consumption of legumes in Australia is low.Multiple …

Study level

Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Biology and Environmental Science

Research centre(s)

Centre for Agriculture and the Bioeconomy

The molecular process that leads to multiple mRNA transcripts being produced from the same segment of DNA (aka gene) is known as alternative splicing (AS). This is a common form of regulation in higher eukaryotes, enabling the production of novel protein isoforms, which in turn are known to have a big impact on phenotype. Understanding the regulatory factors involved in AS, including epigenetic mechanisms such as DNA methylation, will offer key insights into important biological phenomena (health disease, behaviour, production). …

Study level

PhD

Faculty

Faculty of Science

School

School of Biology and Environmental Science

With growing significance of data there is a need to harness the potential of that data for improved business operations. Historical data is often to provide a descriptive overview of how business processes have performed in the past. However, there is a need to be proactive and take appropriate actions to ensure that business processes perform in an optimal manner. Prescriptive analytics is a process that analyzes data and provides instant recommendations on how to optimize business practices. Prescriptive analytics …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Information Systems

Understanding how disorders such as posttraumatic stress disorder develop following trauma is a contemporary challenge for researchers in psychology. The best explanations involve a combination of psychological and biological factors that interact during and following trauma to create a range of troubling symptoms. This project will use cutting edge technology at QUT to provide insights into how a mix of biology and behaviour can result in exacerbated stress responses and threat memories in experimental and real-world settings.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Health

School

School of Psychology and Counselling