Student topics

Transport tunnels are important components of the transport systems in major cities. They can be vulnerable to bomb explosions caused by accidental or deliberate means.This project will evaluate the vulnerability of transport tunnels to credible blast events and the influence of key parameters. We'll then propose measures to mitigate the adverse effects of such explosions to maximise the safety of passengers, infrastructure and transport vehicles.

Study level

PhD

Faculty

Faculty of Business and Law

School

School of Accountancy

The research will develop from Dr Cradduck's specific interest in the NBN rollout and its impact for users; and Dr Cradduck's research interest in the built environment and individuals' engagement with it. The researcher/s will seek to understand how current working and living practices impact upon our engagements with the internet. These include considering: impacts for working and home life; and/or impacts for uses of commercial and retail spaces; and/or impacts for the future of urban life. All will require …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Business and Law

School

School of Law

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 level

PhD

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

Research centre(s)

Centre for Robotics

Due to stakeholder attention, companies are increasingly disclosing social and environmental performance information within their annual and corporate social responsibility (CSR) reports.OutcomesThis study will investigate whether these disclosures reflect real performance, and thereby create accountability practices by corporations. Both Australian and international companies are the focus of this project.The project considers both qualitative and quantitative methods.

Study level

Master of Philosophy

Faculty

Faculty of Business and Law

School

School of Accountancy

Our built environment changes our brain function. There is considerable interest from many research fields upon the positive and negative health and wellbeing effects of our environments. This research area explores how architectural environments and spaces impact experience and mood using wearable brain-imaging technology.

Study level

PhD, Master of Philosophy

Faculty

Faculty of Engineering

School

School of Architecture and Built Environment

Optimising the application rates of organic amendments in agricultural soils is one of the most promising and practical solutions to reduce nitrogen (N) losses into the environment while maintaining an economically-adequate crop production.Organic amendments alone often don't meet the crop's needs. Consequently, a supplementary application of N synthetic fertiliser is needed in conventional farming systems to meet perceived production needs.Accounting for the amount of plant-available N (PAN) released by organic amendments and combining this with N-fertiliser will:ensure N demands of …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Biology and Environmental Science

Research centre(s)

Centre for Agriculture and the Bioeconomy

Study level

Honours

Faculty

Faculty of Business and Law

School

School of Accountancy

The aim of this research is to develop a framework for multiple Unmanned Aerial Vehicles (UAV), that balances information sharing, exploration, localization, mapping, and other planning objectives thus allowing a team of UAVs to navigate in complex environments in time critical situations. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining Simultaneous Localization and Mapping (SLAM) algorithms with Partially Observable Markov Decision Processes (POMDP) and Deep Reinforcement learning. This should provide significant benefits, …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

This PhD project aims to develop a framework for unmanned aerial vehicles (UAV), which optimally balances localisation, mapping and other objectives in order to solve sequential decision tasks under map and pose uncertainty. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining simultaneous localisation and mapping algorithms with partially observable markov decision processes. The project’s expected outcomes will enable UAVs to solve multiple objectives under map and pose uncertainty in GPS-denied environments. This …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

In the Westernized world a person typically spends one third of their life in bed, with more time spent sleeping in a bed than in any other single activity. Sleep amount and quality of sleep have a direct impact on mood, behaviour, motor skills and overall quality of life. Yet, despite how important restful sleep is for the body to maintain good health, there is a comparatively small amount of studies evaluating key multi-factorial and biomechanical determinants of restful sleep …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Mechanical, Medical and Process Engineering

Research centre(s)

Centre for Biomedical Technologies

Accurately mapping large-scale infrastructure assets (power poles, bridges, buildings, whole suburbs and cities) is still exceptionally challenging for robots.The problem becomes even harder when we ask robots to map structures with intricate geometry or when the appearance or the structure of the environment changes over time, for example due to corrosion or construction activity.The problem difficulty is increased even more when sensor data from a range of different sensors (e.g. lidars and cameras, but also more specialised hardware such as …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

Research centre(s)

Centre for Robotics

Species and ecosystems in Antarctica are threatened. Optimal biodiversity conservation is an interdisciplinary field combining mathematical modelling and optimisation with ecology and conservation. We can use mathematics to understand the system, model how management actions might impact it, and then optimise which actions should be used. For example, we can explore where protected areas should be placed, how species should be managed, or how tourist impacts should be reduced. However, the complexities of conservation in Antarctica necessitate the application of …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Mathematical Sciences

Research centre(s)

Centre for Data Science
Centre for the Environment