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Responsible Process Analytics: Let’s Blind the Prying Eyes

Process analytics is a form of data analytics with a focus on extracting data-driven insights from sequences of time-ordered events. Traditionally, process analytics have primarily been used to analyse business processes (e.g., insurance claims handling process, purchase requisition process, and student enrolment process). Nevertheless, the prevalence of timestamped data produced by today’s IT systems has seen a wider application of process analytics to other domains, including industrial control systems (e.g., power plant) and computer network systems, with a goal of …

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

Statistical method for adjusting medal tallies for Olympic games

There is often a lot of interest in the general community for viewing adjusting medal tallies to account for say population size, country wealth and number of athletes. However, most news articles use very basic approaches and don't consider potentially non-linear relationships between medal tallies and other variables. This project will develop a principled statistical method for performing the adjustment that more accurately model's dependencies in the data.

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

Visualising Stochastic Business Process Models

Process mining aims to derive information from historical behaviour of processes in organisations which has been recorded in event logs. Business analysts use process mining software to visualise logs and derive information and insights for managers. Ultimately, this information is used to improve processes to, for instance, optimise costs, time and/or the environment. Process mining is an exciting field with lots of opportunity for research and with many commercial solutions being offered. Business process models describe what can happen in …

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

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

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

Smart gird communications

Smart grid is a new concept to design and operate power generation, transmission, distribution and other related systems in an integrated environment with emerging services. There are a number of challenges in smart grid systems. One of the challenges is low-latency communications for real-time smart grid applications in wide area networks (WANs) such as wide area control, neighbourhood area networks (NANs) such as real-time demand response, and home area networks (HANs) such as home energy scheduling.The existing standards for smart …

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

Longitudinal modelling and analysis of elite swimming performance

With elite sports becoming ever more competitive, coaches, athletes and sports scientists are looking to use data to maximise training outcomes for greater competitive performance.For the 2018 Commonwealth Games on the Gold Coast, a series of projects are being offered towards the development of new statistical and machine learning tools in cross-disciplinary collaboration with sports scientists and end users. The projects involve QUT, the ARC Centre of Excellence in Mathematical and Statistical frontiers (ACEMS) and the Queensland Academy of Sport …

Study level
Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Time series modelling of athlete performance using wearable technologies

With elite sports becoming ever more competitive, coaches, athletes and sports scientists are looking to use data to maximise training outcomes for greater competitive performance.For the 2018 Commonwealth Games on the Gold Coast, a series of projects are being offered towards the development of new statistical and machine learning tools in cross-disciplinary collaboration with sports scientists and end users. The projects involve QUT, the ARC Centre of Excellence in Mathematical and Statistical frontiers (ACEMS) and the Queensland Academy of Sport …

Study level
Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Benchmarking elite athletes using multilevel models

With elite sports becoming ever more competitive, coaches, athletes and sports scientists are looking to use data to maximise training outcomes for greater competitive performance.For the 2018 Commonwealth Games on the Gold Coast, a series of projects are being offered towards the development of new statistical and machine learning tools in cross-disciplinary collaboration with sports scientists and end users. The projects involve QUT, the ARC Centre of Excellence in Mathematical and Statistical frontiers (ACEMS) and the Queensland Academy of Sport …

Study level
Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Turning predictions into decisions: innovation to facilitate spatio-temporal decision-making in the agricultural sciences

As agriculture meets the digital age, we are faced with challenging decisions about when to sow, when and how much to fertilise and when to irrigate. With the aid of high performance computing, models that represent complex agricultural processes can be used to simulate a wide range of farming scenarios in space and through time. Coupled with other sources of information (e.g. measured data and expert information) the challenge becomes being able to quantify the uncertainties and interpret the outputs …

Study level
PhD
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Discovering organisational knowledge from process event logs

Process mining enables data-driven process analysis using the massive amount of event log data captured by information systems in today's organisations. Various techniques have been developed to help extract insights about the actual business processes with the ultimate goal to improve process performance as well as the organisations' business performance.As an important sub-field of process mining, organisational mining focuses on discovering organisational knowledge, including e.g. organisational structures and human resources relevant to the performance of a business process, from event …

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

Koala census using acoustics

Koalas have a characteristic bellow. For several years the Ecoacoustics team at QUT (www.ecosounds.org) has been working with koala researchers to understand koala bellowing behaviour and to use acoustics for monitoring koalas. An interesting idea is to use acoustic recorders sent through the post for koala monitoring by different landholders.

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

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