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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

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

Space-filling curves and DNA

Space-filling curves are examples of fractals, with perhaps the most famous being Hilbert's curve. This project explores the nature of space-filling curves as realistic models for the folding of DNA in the nucleus of a cell.The project also explore the  use of linear algebra techniques in trying to capture essential structural components of space-filling curves, and attempt to relate these ideas to experiments involving chromatin conformation capture in three-dimensional space.

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

Stochastic Process Mining

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 successful commercial solutions being offered.Business process models describe what can happen in a …

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

Visualisation and exploration of big environmental audio data

The Ecoacoustics lab at QUT is researching how the collection and analysis of sound by autonomous audio recorders can scale biodiversity monitoring: www.ecosounds.org. We are constructing the largest terrestrial acoustic sensor network in the world, comprising 400 continuously recording sensors which will collect 400TB of data per year. We have recently started working on new methods for visualising and analysing these large datasets using acoustic indices – summaries of sound 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

Visualisation of text analytics

Natural language is complex to analyse and the results of the analysis are often difficult to convey in a meaningful way. One approach is to convey resultant analytics in the context of the original text by visually annotating the text. This project will suit someone with an interest in visual style who also possesses basic programming skills.

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

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

Designing and evaluating immersive scientific visualisation software

Scientific research of the 21st century is highly collaborative. Science teams are getting large and distributed around the world. While this is necessary to solve wicked problems, it poses difficulties for teams due to spatial and temporal dimensions of the teamwork. This project will focus on the design and development of scientific collaboration tools for a principal astrobiology data analysis tool for Mars 2020, NASA's next Mars rover that will be used by a distributed science team. The software will …

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

Virtual reality radar visualisations

Submariners face heavy cognitive loads when traversing through complex seabed environments. Unintuitive 2D sensor displays are used to manoeuvre the vessel under stress. These challenges are compounded when operating Unmanned Underwater Vehicles (UUV) due to a greater disconnect between the submariner and the vessel. However, with the emergence of UUVs, we argue that the use of an immersive interface will assist situational awareness.This project aims to generate a visually-believable 3D seafloor that can be viewed within an immersive and collaborative …

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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