Student topics

OpportunityFour Summer VRES positions specifically for Aboriginal and Torres Strait Islander QUT Business School students working on an immersive research project. This research will allow students to better understand the role of research and its role as an effective approach to developing solutions to complex problems.Key details$2,000.00 honorariumflexible-delivery under academic supervision (set your own days)independent or group-based delivery experience80-100 hoursno prior research experience requiredKey Benefitswork closely with academics and the QUT Business School Aboriginal and Torres Strait Islander Advisory Groupprofessional …

Study level

Vacation research experience scheme

Faculty

QUT Business School

School

School of Management

Research centre(s)

This project relates to the conversion of waste products from the mining industry into useful products.

Study level

PhD, Master of Philosophy, 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

Peripheral artery disease (PAD) is one of the most frequent cardiovascular diseases, affecting over 200 million people at an annual cost of $21 billion.PAD cases are predominately (80%) located within the popliteal artery, a highly flexible vessel behind the knee joint which twists, extends, and bends during standing, walking, and sitting.As a result, active or sedentary lifestyles play an important role in altering the biomechanics leading to popliteal diseases.Furthermore, surgical treatments within the popliteal artery have been inconsistent, with a …

Study level

PhD, Master of Philosophy, Honours, Vacation research experience scheme

Faculty

Science and Engineering Faculty

School

School of Mechanical, Medical and Process Engineering

Research centre(s)

Organisations continuously look for opportunities to improve or optimise their business processes.Process mining aids organisations to derive insights from event data stored in event logs, using advanced techniques that:discover process modelsverify conformance with rules and regulationsshow the performance of processes.As process improvement projects are involved and expensive, typically organisations select a few processes to optimise, using process identification.Ironically, process identification is a manual task, where KPIs are chosen. Based on these KPIs, a process is selected for improvement.In this project, …

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

Organisations store large amounts of data where every step is logged in information systems and available for analysts to reveal the hidden behaviour and performance of the business process. This can range from requests being handled within a government body, claims by an insurance company or orders from an online store. Process mining aims to derive information from this recorded historical organisational data. For instance, business analysts use process mining software to visualise logs and derive information and insights for …

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

Process mining is a specialised form of data-driven process analytics where process data is analysed to uncover the real behaviour and performance of business operations. This data is usually collated from the different IT systems typically available in organisations.For the data and process analysis to be accurate, the accuracy of data is crucial. This identifies the significance of the quality of logs supplied for analysis.It's the responsibility of the process analyst to identify, assess and remedy the data to reduce …

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

Process mining aims to obtain insights on business processes from event logs, using algorithms to:automatically discover modelscheck certain rules and regulationsproject performance on process models.Process mining techniques typically only deal with the control flow: that is, which process steps are being executed for a particular case and in what order.Our industry partners are often interested in, and pose questions on, the interplay between process and data. These questions include:Do gold customers get a different treatment than silver customers?Are there behavioural …

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

Chatbots, also known as digital customer service agents or virtual assistants, are poised to transform delivery and co-creation of customer service over the next few years.However, there are still many challenges, such as technological limitations and user's perception of value, that affect how customers use chatbots.We want to know:why do many customer not want to use chatbots?what do customers really think about using chatbots in a service delivery and co-creation context?

Study level

PhD, Master of Philosophy

Faculty

Science and Engineering Faculty

School

School of Information Systems

Research centre(s)

Social network platforms support creation and exchange of user-generated content.However, some have had growth in users and the amount of information exchanged, while many others did not witness significant growth. This is amongst several different types of social networks that have launched more than a decade ago.If we're going to design an effective social network platform that meets user's expectations, what are the affordances and design features of the platform that promote growth?

Study level

PhD, Master of Philosophy

Faculty

Science and Engineering Faculty

School

School of Information Systems

Research centre(s)

The aim of this research is to determine the virtual morphology of a heterogeneous porous medium from a micro computed tomography (micro-CT) scanner dataset.We'll use the 3D imaging facilities at QUT's Institute of Future Environments (IFE) for data capture.

Study level

Master of Philosophy, Honours

Faculty

Science and Engineering Faculty

School

School of Mathematical Sciences

Research centre(s)

Process mining is an established approach to analysis of processes based on data found in event logs.Given its use of event data as a starting point, recommendations for business process improvement are evidence-based. As such, there's an increased interest in process mining, both in academia and in industry.Process mining results heavily depend on the quality of event log data. As the saying goes: garbage in, garbage out.While approaches exists that try and repair problematic data, this project will focus on …

Study level

PhD

Faculty

Science and Engineering Faculty

School

School of Information Systems

Research centre(s)

Centre for Data Science

Our research group has a strong focus on solving problems related to water treatment.Research topics in this area include, but are not limited to:coal seam gasshale oil and gasmunicipal wastewateracid mine drainagemining waterfood and beverage manufacturingagriculturedesalinationammonia and phosphate nutrient recoverymetal recovery.The majority of projects involve collaboration with industry.

Study level

PhD, Master of Philosophy, 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