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Found 12 matching student topics

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Developing predictive models, methods and analytics for complex sports data

A 3-year strategic partnership on sports data science between the Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and the Queensland Academy of Sport (QAS) was launched in the past few months. With a drive towards data informed decision making across the high performance sports network nationally, a number of collaborative, interdisciplinary research and scholarship opportunities ranging from VRES, to honours, masters and PhD have developed.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Risk factors for pressure injury development in critically ill adults: a systematic review and meta-analysis

Pressure injuries (PIs) create a significant burden in the health care system. Up to 49% of critically ill patients develop PIs. Identifying and understanding potential risk factors is essential to the provision of effective targeted prevention strategies to mitigate risk. The objectives of this review are to:identify patient-centred clinical factors that may be associated with PI development in adult intensive caredetermine the effect size of the association between identified factors and PI development.The systematic review will synthesise existing knowledge and …

Study level
Vacation research experience scheme
Faculty
Faculty of Health
School
School of Nursing

Risk management and financial systems integrity. Enhancing outcomes for indigenous not-for-profit organisations

This topic examines the NFP sector, in particular, indigenous organisations and the risk associated with incidents of fraud. As funding to these organisations is limited, a fraudulent event can have dire consequences on employees as well as impact future funding opportunities. Scant attention has been paid to the NFP sector in relation to fraud risk management. The study will help to address this.If you are interested in researching this topic as part of a Master of Philosophy (Accountancy), and you …

Study level
Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Accountancy

Bushfire building risk assessment using drones

The project will investigate the feasibility of using drones to conduct bushfire risk assessments for buildings. It involves:learning about data capturing and analysis technique and methodsconducting field scale study and risk analyses for buildings in bushfire-prone areas.We're looking for civil engineering students with interest in:advanced technologydata analysestechnical writing.

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering

Sharing economy - risk management and exit

The growth of the sharing economy has important implications for the financial well-being of many millions of individuals. Airbnb alone has more than 6 million listings around the world, an increase of more than 1 million in the last year. While this rapid growth has seen favourable conditions for these, no market has limitless growth. Recent disruption caused by COVID-19 in particular has significantly impacted on the industry. We are interested to how Airbnb hosts deal with market downturns, and …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Business and Law
School
School of Management
Research centre(s)
Centre for Future Enterprise
Australian Centre for Entrepreneurship Research

Contributions and risks of smart urban technology-driven approaches to sustainable development

The prospects of smart urban technologies range from expanding infrastructure capacity to generating new services, from reducing emissions to engaging the public, from minimising human errors to improved decision-making, and from supporting sustainable development to improving performances of commercial enterprises and cities. The most popular technologies in the context of cities include, but are not limited to, internet-of-things (IoT), autonomous vehicles (AV), Mobility-as-a-Service (MaaS), bigdata, 5G/6G, robotics, blockchain, cloud computing, 3D printing, augmented and virtual reality (AR/VR), digital twins and …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

Forecasting disease spread risk based on human movement patterns

This project aims to forecast the risk of infectious disease spread, such as COVID-19 and dengue, based on human movement patterns. We'll use multiple data sources that describe people movement in order to understand individual and population level mobility patterns, and use empirical disease case data to model the effect of movement on the spread of disease.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Computer Science

The interplay between environmental and genetic risk factors in the etiology of mental health disorders

Mental health disorders (e.g., depression, anxiety, substance use) are the leading cause of global disease burden in the young adult population. Twin and family studies show that both genetic and environmental factors play a large role in the aetiology of these disorders. The Translational Neurogenomics group aims to identify genetic risk factors for a range of mental health and substance use disorders, and investigate the interplay between genetic and environmental risk factors.UK Biobank is a major national and international health …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)
Centre for Genomics and Personalised Health

Identifying individuals at high risk of Alzheimer’s disease

Dementia is the greatest cause of disability in Australians over the age of 65 years. In the absence of a significant medical breakthrough, more than $6.4 million Australians will be diagnosed with dementia in the next 40 years. The most common form of dementia is Alzheimer’s disease (AD), accounting for 60-80% of cases. The pathogenic process of AD begins decades prior to the clinical onset, so it is likely that treatments need to begin early in the disease process to …

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

Making machine learning understandable for human decision support in credit risk assessment

Credit risk assessment is an important aspect in personal loan applications because of an increase in loan applications and a decline in risk appetite of lending institutions. Traditionally, predictions of credit risk (i.e. the weighted probability of loan default) are based on individual socio-economic information, loan application information and dynamic transaction data. Although machine learning models have been applied to the evaluation of credit risk, there is a gap to their use for decision making because many of these methods …

Study level
Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Accountancy

Culture and corruption risks in local government: the role of technology in detecting fraud

A recent investigation by the Crime and Misconduct Commission found serious fraud and corruption across a number of Queensland city councils. This included inappropriate relationships between the Council and the private sector, in particular property developers and improper use of power and influence for personal benefit by elected councilors.This project investigates how council employees and councillors avoid detection under existing accounting controls, and how they can be strengthened. We will focus on the latest technologies for detecting financial misconduct and …

Study level
Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Accountancy

PneuMatters: Preventing early-onset pneumonia in high-risk children through maternal immunisation - a study in Aboriginal, Torres Strait Islander, Māori, or Pacific Islander infants

The PneuMatters study is evaluating the efficacy of a pneumococcal vaccine in preventing pneumonia in the first 12 months of life in high-risk infants whose mothers received the vaccine while pregnant. The study is being conducted in Darwin, South-East Queensland and Malaysia. Participants are recruited in antenatal clinics and are followed until the baby turns 12 months of age.Australian participants must be pregnant with infants who will be identified as either Aboriginal, Torres Strait Islander, Māori, or Pacific Islander. This …

Study level
Vacation research experience scheme
Faculty
Faculty of Health
School
School of Public Health and Social Work

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