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Found 107 matching student topics

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Data centre management and optimisation with improved energy efficiency

Data centres have been increasingly built to provide a wide range of data, network, and cloud services. The increasing demand in various services requires more and more data centre resources and consequently more and more energy is consumed in data centres. It is estimated that about 30% of the running cost of a data centre is the energy consumption. Therefore, it is significant to manage and optimize data centre resources and energy consumption in data centres.

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Measuring soundmark temporal variations in ecoacoustic recordings

The QUT Ecoacoustics research group collects a massive amount of passively-recorded environmental audio data. The data, currently 93TB in size, constitutes more than 46 years of combined environmental monitoring. This audio data is analyzed so that ecologists may scale their observations of the environment.However, as with all data-intensive projects, the data is not perfect. One of our larger collections of data, collected from the Sturt desert, has been misdated. The result is that for large sub-sections of the data, audio …

Study level
Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Robotic Process Automation: Research Opportunities

Recently, there has been a strong interest in industry in a specific area of automation Robotic Process Automation (RPA). This term can include robotics, software agents acting as human beings in system interactions, and process automation, workflow management systems or systems that are process-aware.RPA is a relatively new technology comprising of software agents called `bots' that mimic the manual path taken by a human through a range of computer applications when performing certain tasks in a business process. The tasks …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Privacy-Preserving Process Analytics

Modern organisations consider data to be their lifeblood. While the importance of data science and the potential benefits of data analytics are widely acknowledged, many people have grave concerns about irresponsible use of their data.Negative publicity surrounding large collections of personal data (incl. location, videos, pictures, emails, etc.) by corporations such as Google and Facebook and subsequent breaches have resulted in people losing trust in, and becoming more suspicious about, how their personal data is being used by such organisations.Process …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Responsible Analytics of Process Data

Technological advances in the field of data science empowers organisations to become ‘data-driven’ by applying new techniques to analyse large amounts of data. The potential benefits include a better understanding of business performance and more-informed decision making for business growth. However, a key roadblock to this vision is the lack of transparency surrounding the quality of data.Process mining is a specialised form of data-driven process analytics where process data, collated from the different IT systems typically available in organisations, is …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Enhancing discrete choice models using insights from behavioural economics and psychology

Behavioural economics studies the impact of psychological factors on economic decisions and how these decisions deviate from those implied by classical economic theory. It merges the fields of economics and psychology to provide a better understanding of choice behaviour.When it comes to transportation individuals face long-term choices, such as car ownership and residential/work locations, and short-term choices, such as destination and departure time.Insights from behavioural economics can be applied to these choices to gain a better understanding of the conditions …

Study level
PhD, Master of Philosophy
Faculty
Science and Engineering Faculty
Lead unit
School of Civil Engineering and Built Environment

Analysis of lightweight cryptographic algorithms

This project aims to evaluate the security of cryptographic algorithms intended to provide security for information transmitted over insecure networks. The cryptographic algorithms enable secure and resilient communications in security critical applications where the communicating devices are resource constrained.The standard algorithms used may require more resources (memory, power, etc) than the devices can provide, hence the need for new lightweight algorithms. However, an efficient implementation of an algorithm is not useful if there are security weaknesses. For example, some authenticated …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Designing mobile technology to engage people with diabetic foot ulcers in self-care

Every day in Australia, 50,000 people are suffering with a diabetic foot ulcer (DFU), 1,000 are in hospital because of DFU, 12 will undergo an amputation and four people will die with DFU. People with a DFU typically require frequent and intensive weekly treatment at a multi-disciplinary diabetic foot clinic to effectively heal their DFU over a period of multiple months, to avoid infection, hospitalisation and amputation. A key challenge to healing DFUs is effectively engaging people in their independent …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Visual place recognition for robots and autonomous vehicles

Knowing where you are is a fundamental capability for robots and autonomous vehicles moving through an environment.Increasingly technologies in this area are based around camera sensors, performing a process known as Visual Place Recognition (VPR).VPR becomes challenging in the real-world when conditions or viewpoint change: for example in conditions of inclement weather, changing seasons or day-night cycles.Robots and autonomous vehicles must also be able to localize across viewpoint changes - for example driving down the same road but in the …

Study level
PhD, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Building healthy esports communities

The number of competitive games has been increasing more than ever in recent years. Popularization of esports might have contributed to this surge with organized championship events and large audiences. A majority of esports games require cooperation with teammates while competing against another team. While competition is enjoyable to many players, it can also lead to negative behaviors, also known as toxic behaviors. In fact, many esports communities are known to be toxic, especially towards minorities.This project will:investigate current game …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Learning with agents and avatars in gameful virtual/augmented/mixed reality applications

Immersive interfaces enhance learning experiences by situating learners into a specific authentic-feeling context; they provide learners with multisensory experiences. Good games excel at teaching players skills required to play the game, and testing the comprehension and application of these skills playfully yet systematically in such authentic contexts. Gameful design is the process of applying the principles of what makes games engaging and motivating to non-game settings.This project will explore using relevant theories and principles (e.g., Flow theory, Self-Determination Theory) as …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Learning with agents and avatars in gameful virtual/augmented/mixed reality applications

Immersive interfaces enhance learning experiences by situating learners into a specific authentic-feeling context; they provide learners with multisensory experiences. Good games excel at teaching players skills required to play the game, and testing the comprehension and application of these skills playfully yet systematically in such authentic contexts. Gameful design is the process of applying the principles of what makes games engaging and motivating to non-game settings.This project will explore using relevant theories and principles (e.g., Flow theory, Self-Determination Theory) as …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

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