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Found 502 matching student topics

Displaying 433–444 of 502 results

2032 Brisbane Olympic Games: how can we achieve climate-positive urban objectives?

Brisbane is the first host city to be contractually bound to deliver a climate-positive Olympic Games in 2032 (Queensland Government, 2023). Most of the 8,000-megawatt coal plants are expected to close by 2032, which requires a viable and sustainable transition to renewable energies (Simshauser, 2024).In this project, we investigate how digital energy services and analytics (DESA) can help a sustainable energy transition for a climate-positive 2032 Brisbane Olympic Games.ReferencesQueensland Government. (2023). All Queensland. All in. 2032 procurement strategy. https://www.forgov.qld.gov.au/__data/assets/pdf_file/0011/404030/Q2032-procurement-strategy.pdfSimshauser, P. …

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

Trust in renewable energy

Trust is a complex, multi-dimensional concept that plays an essential role in any context where there is interaction among different parties. Three dimensions are integral for a profound understanding of trusting beliefs: competence, integrity, and benevolence (Mayer et al., 1995). Due to the contingencies and dynamics of the renewable energy transition, trust is a critical factor in communities (Walker et al., 2010).In this project, we investigate the multiple dimensions of trust in the context of renewable energies and provide recommendations …

Study level
PhD, Master of Philosophy, Honours
School
School of Information Systems
Research centre(s)

Centre for Behavioural Economics, Society and Technology

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
School
School of Information Systems
Research centre(s)
Centre for Data Science

Is battery storage overrated? Achieving grid equilibrium through digital energy services and analytics

The share of renewable energy in electricity generation has globally increased to 28.3%, however, an acceleration of the sustainable energy transition is required to limit worldwide temperature rise (REN21, 2022).Energy storage offers various benefits, such as balancing the mismatch between electricity supply and demand; however, due to its charge/discharge inefficiencies (energy storage results in a loss of at least 10% of electricity in the charge/discharge process), digital solutions are needed to manage grid equilibrium effectively (Watson et al., 2022).In this …

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

Every side job starts with an idea: Exploring motivations for the ‘side hustle’

Almost 1 million Australians have lost their jobs and countless micro and small businesses have folded as a consequence of the COVID-19 pandemic. At the same time the pandemic has propelled innovation and new venture creation and given rise the ‘side hustle’, taking on an extra job for money. Side-hustles, supplemental income-generating work performed alongside full-time jobs, are increasingly common (Sessions, Nahrgang, Vaulont, Williams & Bartels, 2021).Technology has in part empowered and enabled people to market their skills and products …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Advertising, Marketing and Public Relations

Renewal and differentiation in human neural stem cells and their application to understanding neurological disorders

The effective regeneration of brain tissue requires an understanding of the factors mediating the damage as well as the integration of new/replacement cells to form new functional neural networks. The isolation and expansion of human stem cells and limited neural lineage differentiation have provided the foundation for strategies in the treatment of neurodegenerative disorders. We utilise iPSC-derived NPCs and patient-derived (Alzheimer’s disease; AD) iPSCs and neural lineage differentiation of hMSCs, iPSC NPCs and AD iPSCs in neuronal and glial culture …

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

Augmented reality (AR) applications for robotic scene understanding

Augmented reality (AR), or mixed reality, has become a mature technology with many possible practical applications in manufacturing, retail, navigation and entertainment.We're interested in using AR to support human-robot interaction. In this project, you'll investigate how a human can use AR to better understand how a robot perceives the world and to understand the robot's intentions.

Study level
Honours
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

Evaluating Navicare to improve mental health service access in regional Australia

Improved access to appropriate and timely mental health care for people in outer regional and remote areas is needed in Australia where people are disproportionately affected by severe mental health conditions. Navicare is a model of care co-designed and piloted with communities and service providers and implemented in 2021 to address this issue. In 2022 national funding from National Health and Medical Research Council was obtained to evaluate the implementation of Navicare in three new communities in Central Queensland in …

Study level
Honours
School
School of Public Health and Social Work
Research centre(s)
Centre for Healthcare Transformation
Australian Centre for Health Services Innovation

Interpretable software vulnerability detection using deep learning techniques

Software vulnerabilities have been considered as significant reliability threats to the general public, especially critical infrastructures. Many approaches have been proposed to detect vulnerabilities in source code to avoid any damages they pose when exploited. Conventional approaches include static analysis and dynamic analysis. Static analysis uses pre-defined patterns or vulnerability dataset to scan and examine software source code to identify potential vulnerable code snippets. These patterns are manually crafted or identified by software developers or security experts, which are time-consuming. …

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

Semantic based onboard UAV navigation

In recent years the field of robotic navigation has increasingly harnessed semantic information in order to facilitate the planning and execution of robotic tasks. The use of semantic information focuses on employing representations more understandable by humans to accomplish tasks with robustness against environmental change, limiting memory requirements and improving scalability. Contemporary computer vision algorithms extracting semantic information have continuously improved their performance on benchmark datasets, however, most computations are expensive, limiting their use for robotic platforms constrained by size, …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

Glassy 2D molecular materials

Modern semiconductor technologies are based on crystalline materials with well-defined physical and electronic structures.However, molecular materials, such as organic semiconductors, may present interesting opportunities through disordered structures.The focus of this project will be on conjugated 2D materials without long-range order: molecular glasses. Through control of the chemical composition, atomic bonding motifs, and lateral size, we will be able to modify the properties of these materials.Our focus will be on synthesising and studying these new materials to better understand the relationship …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Materials Science

Engineering the prostate tumour microenvironment in organ-on-a-chip systems

Prostate cancer remains one of the leading causes of global death. The tumour microenvironment (TME) including blood vessels, immune cells, fibroblasts, and the extracellular matrix (ECM) possesses disease-specific biophysical and biological factors that are difficult to recapitulate using conventional in vitro cell culture models.The absence of these factors, however, causes cells to display abnormal morphologies, polarisation, proliferation, and drug responses, thereby limiting the ability to translate research findings from traditional cell culture into clinical practice.Recent advances in organ-on-a-chip technology enable …

Study level
Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

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