Filter by faculty:

Found 43 matching student topics

Displaying 25–36 of 43 results

VR research analytics platform

The use of user data in games and immersive environment analytics is now pervasive. These software frameworks enable the sampling of embodied user data from the immersive VR environment, such as head movements, controller movements, audio data, and other data. In addition, toolkits are provided to analyse the extracted data. Such resources are also required for non-commercial Computer Human Interaction research.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Computer Science
Research centre(s)

Digitising Legislation

Dr Anna Huggins is looking for PhD/MPhil candidates interested in the emerging computational law project of translating legislation into digital forms. This could involve top down conceptualisation of the translation of legislative provisions or projects examining in detail the digitisation of specific legislation. Candidates with a background in data science, public administration and/or law are encouraged to apply. This topic is led by the QUT School of Law within the Digital Social Contract and Datafication and Automation of Human Life …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Law
School
School of Law
Research centre(s)

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 …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Information Systems
Research centre(s)
Centre for Data Science

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 (including location, videos, pictures and emails) 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.Process mining is a …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Information Systems
Research centre(s)
Centre for Data Science

Organisational analytics via mining event log data from enterprise systems

Enterprise systems are modern information systems in today’s organisations. They record large amounts of event log data, capturing the execution of day-to-day business processes within and across organisations.Mining event log data to drive process analytics and knowledge discovery is known as process mining. To date, various process mining techniques have been developed to help extract insights about the actual business processes with the ultimate goal of improving process performance as well as the organisations' business performance.As an important sub-field of …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Information Systems
Research centre(s)
Centre for Data Science

Guided process analytics for actionable improvement recommendations

Process analytics, often known as process mining, mainly involves data-driven analysis of business processes using the large amount of event log data captured by information systems in organisations.Various analytical techniques help extract insights about the actual business processes with the ultimate goal of process improvement.Within a broad domain of data analytics, process analytics is faced with a main challenge of information overloading. In the ‘big data’ era we often encounter with the problem that there is too much data to …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Information Systems
Research centre(s)
Centre for Data Science

The insufficient informativeness of measurements in Bayesian detection problems

Shiryaev's Bayesian Quickest Change Detection (QCD) problem is to detect a change in the statistical problems of an observed process. This is an important signal processing problem with application in a diverse range of areas, including:automatic controlquality controlstatisticstarget detection.Recently a critical deficiency in Shiryaev's QCD problem has been identified to occur due to the insufficient informativeness of measurement in low signal-to-noise (SNR) to overcome geometric prior assumption on the change event.These deficiencies are due to the non-ergodic nature of the …

Study level
PhD
Faculty
Science and Engineering Faculty
School
School of Electrical Engineering and Robotics
Research centre(s)

The Law and Policy of Satellite and Large Data in Environmental and Land Use Management

Dr Evan Hamman is looking for PhD/MPhil candidates wanting to explore the relationship between space technologies and large data sets in the mapping, managing and directing of human land use. Candidates interested in exploring the relationships between land use management, data science and environmental law and regulations are particularly encouraged. The focus can be Australia, comparative or public international law. This topic is led by the QUT School of Law within the Datafication and Automation of Human Life research group. …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Law
School
School of Law
Research centre(s)

Optimisation of mineral processing using machine learning

QUT researchers have partnered with mining company Lava Blue and the Innovative Manufacturing Cooperative Research Centres (IMCRC) to set up a pilot plant. This pilot plant will transform kaolin clay into high-purity alumina (HPA) which is used to make LEDs and lithium-ion batteries.As a part of this project, you will use machine learning techniques to optimise the extraction of alumina and minimise impurities in the process.

Study level
Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Mechanical, Medical and Process Engineering
Research centre(s)

Centre for Clean Energy Technologies and Practices

Comparison of output from collocated solar systems of different technology

Solar panel efficiency is calculated using standardised testing conditions, allowing like-for-like comparison of systems under the same conditions. However, data collected over a three year period from two collocated solar systems of different technologies are showing unexpected results. The most efficient system's yearly output is comparatively lower. Initial data analysis explains some differences from the operational conditions, but further investigation is required.

Study level
Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Mechanical, Medical and Process Engineering
Research centre(s)

Centre for Clean Energy Technologies and Practices

Data Management and Privacy Law for Transnational Corporate Entities

Dr Lucy Cradduck is looking for PhD/MPhil candidates wishing to examine cross-jurisdictional data management and privacy concerns for transnational corporations, particularly comparing EU, South East Asian nations and Australia. Candidates with an interest in approaching the topic through empirical approaches involving interviews and stakeholder engagement are particularly encouraged. This topic is led by the QUT School of Law within the Datafication and Automation of Human Life research group.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Law
School
School of Law
Research centre(s)

Light, circadian rhythms and Parkinson’s disease

Up to 98 % of patients with Parkinson’s Disease (PD) have non-motor symptoms (Poewe et al. Nature Rev Dis 2017, 3: 17013) and of those, circadian and sleep disorders are the most common (for review, Gros & Videnovic. 2020, Clin Geriatr Med 36: 119). These symptoms become increasingly prevalent during the course of PD and are key determinants affecting quality of life, advancement of overall disability and placement in nursing homes (Shapira et al. Nat Rev Neurosci 2017,18:435). Circadian and …

Study level
PhD
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)

Centre for Vision and Eye Research

Page 3 of 4