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Found 286 matching student topics

Displaying 13–24 of 286 results

Prescriptive process analytics

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

Uncovering the dark transcriptome and proteome with long-read sequencing

Parts of the transcriptome and proteome are invisible to current technologies. We refer to them as the dark transcriptome and proteome and they encompass uncharacterised mRNA and protein isoforms. Importantly, this hidden molecular phenotype is believed to play a critical role in animal health and behavior.Recent developments in mRNA analytical methods such as long-read sequencing (PacBio, ONT) have enabled better characterization of isoforms and are redefining the transcriptome landscape in many species. We and others have found that data generated …

Study level
Honours
Faculty
Faculty of Science
School
School of Biology and Environmental Science

Process-data governance patterns

Data is recognised a strategic asset for organisations. There is a growing need to manage the voluminous data an organisation is exposed to in order to use it for decision-making.Of particular significance is process data, which consists of information about the execution of processes. Such information is used to uncover behaviour of processes within an organisation. This brings forth the significance of data governance. Data governance is the exercise of control and authority over management of data. Despite its significance, …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems

Systematic evaluation towards the analysis of open-source supply chain on ML4SE tasks

Applying machine learning algorithms to source code related SE task is rapidly developing and attracts the attention from both researchers and industry engineers. While there are many program languages available, applying such techniques, i.e., the representation learning models, for different languages may achieve different performance. Particularly, they all have their own strict syntax, which determines the abstract syntax tree. Thus, a lot of different open-source supply chain are available, for example the parsing tools are used to build AST from …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Science
School
School of Computer Science

Internet of Mobile Energy

The emergence of the two-way communication model and Distributed Energy Sources (DES) is transforming traditional power systems from largely centralised energy production to more decentralised and connected management systems. This is called the 'smart grid'.As the smart grid evolves, electric vehicles (EVs) are emerging as unconventional and highly-disruptive participants in the grid that can add significant benefit and flexibility. Notably, EVs are equipped with a relatively high capacity battery that stores energy to power the vehicle.EV batteries, coupled with the …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Computer Science

AI-Based Data Analysis on Multiple Imaging Modalities

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality globally. According to the World Health Organization (WHO), it is estimated CVD takes 17.9 million lives every year. In Australian, the statistical data from the Australia Heart Foundation shows CVD is a major cause of death in Australia. It occupies 26% of all deaths, responsible for an average 118 deaths every day. Four of the main types of CVD are coronary heart disease, strokes and transient ischaemic attack, peripheral …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Computer Science
Research centre(s)
Centre for Data Science

Value-adding waste materials

Many industries generate copious amounts of waste products.Of particular interest are those wastes generated by the mining sector as typically a large fraction of the ore bodies are dumped or the agricultural sector.Potential solutions we are investigating include:converting aluminosilicate waste to zeolitestransforming inorganic waste to catalyst materialscreation of materials for water and wastewater treatmentmaking activated carbonrenewable fuels,

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

Green polymer-inorganic composite materials

Composite materials are widely researched and widely used in applications such as aircraft, automobiles, ships, structural components and even the space industry.There is a need to create new composite materials which are environmentally friendly and do not use fossil fuel based products. Moreover, the properties of the composites need to be improved while at the same time minimising the costs involved.Consequently our research group is working on composite materials which not only include inexpensive inorganic fillers from the mining sector …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

Targeting a novel adaptive neovascular response of the tumour microenvironment to treat advanced prostate cancer

Prostate cancer (PCa) is a significant healthcare burden in Australia. Androgen signalling inhibition using androgen receptor (AR) antagonists is the principal systemic therapy for advanced PCa. Androgen receptors (AR) are an attractive therapeutic target due to their elevated expression in tumour epithelial cells and the retention of androgen signalling throughout the disease continuum.However, patients eventually develop resistance to treatment, and PCa cells metastasise to distant bone and visceral organs, representing an incurable stage of the disease. Understanding mechanisms that contribute …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Identification and characterisation of IRX4 isoforms as novel targets in prostate cancer

Prostate cancer (PCa) is the second leading cause of cancer-related death in Australian men. There is no cure for advanced prostate cancer patients who develop resistance to currently available treatments. Alternative splicing (AS) is tightly regulated to maintain genomic stability in humans (Liyanage et al 2019). Aberrant RNA splicing of cancer-causing genes has been reported as a major cause of treatment escape in prostate cancer patients. Iroquois-class homeodomain protein 4 (IRX4) is a TALE homeobox transcription factor which has been …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Post-translational modification of proteins in cancer

The Protein Ablation Cancer Therapeutics (PACT) laboratory are interested in understanding how post-translational modifications contribute to the tumorigenic functions of proteins in cancer cells. We hypothesise that particular post-translational modifications are required for the cancer-associated function of a protein and that prevention of these would be a useful approach to treating cancer.The aim of this project is to select a candidate protein from our database of potential targets, confirm the protein is modified, identify the key modified lysine in the …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Biological and clinical impact of the association of germline variations in KLK3 (PSA) gene in prostate cancer

Prostate cancer is the most frequently occurring cancer (after skin cancers) in Australian males, and the second most common cause of cancer death. While the 5-year survival rate for localised disease approaches 100%, extra-prostatic invasion results in a poorer prognosis. Kallikreins are serine proteases, which are part of an enzymatic cascade pathway activated in prostate cancer (Lawrence et al 2010). The most well-known member is prostate specific antigen (PSA) or the KLK3 protein, encoded by the Kallikrein 3 (KLK3) gene, …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

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