Student topics

Explore topics that we're looking for students to research, and discover the fields that our students are currently working on.

251 matching student topics

Displaying 49 - 60 of 251 matching student topics

Control of concentrating solar thermal power plants

Concentrating solar power (CSP) is a technology that utilises mirrors (heliostats) to focus the sun’s rays on a solar receiver. This provides heat for a power generation cycle, creating thermal energy.Control of the heat transfer fluid temperature in the solar receiver is crucial for the efficient use/storage of thermal energy and to minimise the degradation of the receiver. The aim of this project is to design controllers for the heat transfer fluid pumps and the heliostats using a previously developed model of the receiver's thermodynamics.

Study levels
Honours
Vacation research experience scheme

Controlling soft matter materials at the nano-level – how to construct materials whose mechanical properties can be remotely adjusted

Nature is an expert at developing high-performance materials which combine properties like high toughness, stiffness, and low weight.Some well-known examples include:woodbonespider silk.In this project we aim to mimic the structure and properties of another, less known natural high-performance material: nacre.Additionally, we want to introduce a light-adaptive control mechanism. This will enable a controlled transformation of physical and mechanical properties in real-time.To achieve adaptable properties, a control mechanism on the molecular level is required, featuring several distinct functional plateaus.It is proposed …

Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Coordinated control of multi-robot systems for environmental management

Single robotic systems can't accurately measure dynamic processes and map large areas in challenging environments. However, managing multiple robotic systems simultaneously poses many challenges around coordination and control. This is particularly true in environments where there's a lack of communication with the system. This project will explore multi-robot swarming and formation control to monitor, manage and track large-scale environmental phenomena.In this project, you will explore multi-robot swarming and coordinated formation control for dynamic process monitoring, target tracking and coordinated mapping. …

Study levels
PhD
Vacation research experience scheme

Creation of fibrous tissue at moving interfaces

Extracellular matrix (ECM) secreted by cells is composed of a meshwork of fibres infiltrated with proteins and/or minerals. This fibre meshwork often matures after its creation by rearranging its structure according to local mechanical clues, or by the infiltration of new molecules.In this project, the fibre meshwork will be represented by a continuous anisotropic field. You will derive evolution equations to describe fibre creation at moving cell membranes and the subsequent maturation of the meshwork.Applications of this model include the:investigation …

Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Data quality issues in NoSQL databases

In the era of big data, NoSQL (not only structured query language) databases are gaining significance. NoSQL databases offer high performance, availability, scalability, and storage. They have flexible and simple architecture. These characteristics make them a popular candidate for big data analytics.Analysis of big data enables organisations to make informed decisions and decide on strategic moves. However, these decisions can be detrimental to the progress of organisations if the quality of input data is poor, bringing forth the significance of …

Study levels
Master of Philosophy
Honours
Vacation research experience scheme

Data-driven modelling for engineering

Data-driven modelling is a growing topic of interest in engineering and science.This project will provide a unique opportunity for you to collaborate with a large modelling group and learn how to use machine learning for data-driven modelling.

Deep learning for robotics in open-world conditions

To fully integrate deep learning into robotics, it's important that deep learning systems can reliably estimate the uncertainty in their predictions. This allows robots to treat a deep neural network like any other sensor and use the established Bayesian techniques to fuse the network’s predictions with prior knowledge or other sensor measurements or to accumulate information over time.Deep learning systems typically return scores from their softmax layers that are proportional to the system’s confidence. They are not calibrated probabilities and …

Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Degradation modelling & maintenance planning for biomass boilers

Biomass boilers are critical for the generation of steam for industrial use and power generation. However, these boilers degrade over time and failure result in costly forced shutdowns.The aim of this project is to develop and validate new models to describe key degradation mechanisms (erosion, corrosion, etc.). We'll then use these models to develop new inspection, maintenance, and renewal plans.The project will make use of real operational data to develop both physical and stochastic process models to describe future failure …

Study levels
PhD
Master of Philosophy

Degradation-conscious charging of lithium-ion batteries

The adoption of electric vehicles and grid storage systems by the present day consumers has been phenomenal. The most critical issue with the lithium-ion (Li-ion) battery is how to manage its degradation.Understanding battery degradation mechanisms and the development of charging strategies to optimally manage battery degradation is very important. There are a number of important issues that need to be addressed carefully, such as thermo-electrochemical modelling of large battery packs and fast charging protocols.

Study levels
PhD
Master of Philosophy

Design and manufacture of personalised face filtration respirators using 3D printing

The scale of the COVID-19 pandemic and subsequent disruption to global supply chains has led to an acute shortage of personal protective equipment (PPE) for Queensland healthcare workers. In response, a state-wide taskforce was established in March 2020 to investigate alternative supplies of essential PPE such as face filtration respirators (FFRs), typically N95/P2 face masks which are in high demand for frontline healthcare workers treating respiratory illnesses such as COVID-19.This project aims to develop novel reusable patient and clinician specific-face …

Study levels
PhD
Master of Philosophy
Honours

Designing active play technologies with families

The aim of this project is to design and study digital technologies that enable and support active play in families with young children.To promote healthy growth and development, children aged 1-5 years should be physically active for at least three hours each day. This may include running, jumping and playful activities. With the current COVID-19 pandemic, many playgrounds, childcare facilities, and sports clubs are closed, which means that families look for alternatives to stay active.In this project you'll explore:how parents …

Study levels
PhD
Master of Philosophy
Honours

Designing information technologies for preventing homelessness

Our research is seeking to answer the question: 'How can we empower women experiencing a change of circumstance and prevent homelessness?'This project focuses on proactively preventing homelessness for women. We aim to intervene when housing stress is occurring or likely to occur.According to the health continuum of prevention, the three stages of harm prevention are:primary - prevent the harm from occurringsecondary - attempt to stop existing harm earlytertiary - attempt to reduce the impact of established harm.There are excellent resources …

Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

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