Skip to content

Student topics

Filter by faculty:

Found 10 matching student topics

Displaying 1–10 of 10 results

Hack-proofing data analytics: A Blockchain-inspired approach to disabling deceptive data analytics practices

“Lies, damned lies, and statistics”. The preceding well-known phrase captures the, possibly unacknowledged, dilemma faced by organisations who are increasingly reliant on the power of data analytics to make important decisions. ‘Big data analytics’ has demonstrated its ability to deliver positive outcomes to organisations, from exposing and (dis-)proving anecdotally-ridden wisdom (or myths) to delivering targeted and effective data-driven improvement recommendations to business operations. However, drawing parallels to the practices of ‘creative accounting’, insights extracted from data analytics can potentially be …

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

Digital business models

The ongoing proliferation of a digital lifestyle and the exposure to global innovation raises the expectation level of customers for new products and services. The ongoing technological innovations make this possible, but require digital business models to turn them into viable commercial offerings. This is not only relevant for new (‘born-on-the-web’) companies, but also for traditional companies who run the risk of having their core business disrupted. While some see the technological change coming but struggle with the new business …

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

Looking for koalas with drones: project 1

Koalas are an iconic and economically important species for Australia. Threats to koalas have reduced numbers drastically over the past 20 years, and while these threats continue, koala numbers will continue to decline in Queensland and NSW. In this project, you will explore issues related to the better detection of koalas using advanced technologies such as drones.

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Earth, Environmental and Biological Sciences

Virtual reality data analytics

The use of user data in games and immersive environment analytics is now pervasive throughout the interactive environment industry.These software frameworks enable the sampling of embodied user data from the immersive virtual reality (VR) environment, such as head movements, controller movements, audio data, amongst other modules for analysis of the data extracted.Such resources are greatly needed for non-commercial computer human interaction research, where valuable insights can be gleaned from usage data gained inside VR applications. …

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

Predictive analytics for co-creation of digital services

Co-creation of services (i.e., digital services) through collaborative networks enables organisations to improve their innovativeness; to collaborate with a network of customers to create, to facilitate and improve collaboration and create new types of services.However, organisations are also facing new challenges by creating a large amount of data, such as providing lower quality services by the network.On the other hand, the emergence of predictive analytics provides us with techniques to identify explanatory and predictive behaviour patterns from the unstructured data …

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

Digital business models

The ongoing proliferation of a digital lifestyle and the exposure to global innovation raises the expectation level of customers for new products and services. The ongoing technological innovations make this possible, but require digital business models to turn them into viable commercial offerings. This is not only relevant for new (‘born-on-the-web’) companies, but also for traditional companies who run the risk of having their core business disrupted. While some see the technological change coming but struggle with the new business …

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

Big data visual analytics: user-oriented design of interfaces for visualising big environmental acoustic data

The impact of climate change on human and fauna and advances in sensing technologies have demanded and enabled environmental monitoring over large area and long period of time. Multiple networks have been set up around the world to monitor biodiversity using terrestrial acoustic sensors.Timely and appropriate analysis of the big archive of environmental sound becomes a great challenge.

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

Hybrid Intelligence - Big data visual analytics

The impact of climate change on human and fauna has led to advances in sensing technologies which have enabled environmental monitoring over a large area and a long period of time.Multiple networks have been set up around the world to monitor biodiversity using terrestrial acoustic sensors. Timely and appropriate analysis of the big archive of environmental sound becomes a great challenge.The research question that will be looked at is: What are good ways to support human interaction with big data? …

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

Process data analytics: quality-informed and responsible process mining

Modern organisations consider data to be the lifeblood of their organisations. Technological advances in the fields of Business Intelligence (BI) and Data Science empower organisations to become ‘data-driven’ by applying new techniques to analyse and visualise large amounts of data. The potential benefits include a better understanding of business performance and more-informed decision making for business growth.A key road block to this vision is the lack of transparency surrounding the quality of data. Significant data quality issues persist and hinder …

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

Page 1 of 1