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Beyond sentiment analysis: identifying affect in reflective text

Sentiment analysis has become a highly valued form of text analysis, particularly for companies who want to distil customer sentiment from social media. As a result, it is an active area of Natural Language Processing (NLP) research. However, much of the work is concerned with the accuracy of positive and negative classification. When it comes to more nuanced analysis of affect and emotion, the research is much more limited.This project will focus on developing approaches to nuanced analysis of affect …

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 evolution of dust obscuration in galaxies

Dust in galaxies is ubiquitous. It arises from the end stages of stellar evolution, with heavy elements formed over a star's lifetime being distributed throughout a parent galaxy as the star goes supernova.There are numerous approaches to measuring dust obscuration in galaxies. These approaches show a broad trend toward heavier obscuration in galaxies that support higher levels of star formation. However, there is relatively little understanding for why this relationship exists.By analysing the properties of galaxies in the Galaxy And …

Study level
PhD, Master of Philosophy
Faculty
Science and Engineering Faculty
School
School of Chemistry and Physics
Research centre(s)

Organisation-wide process mining

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

Text analysis in engineering education

Textual data contains a large amount of embedded information. This text information is easily extracted by humans, but is difficult for machines to interpret. Using various textual analysis methods some information can be drawn out from pieces of text. An example includes finding the confidence in student-written answers.

Study level
Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Electrical Engineering and Robotics
Research centre(s)

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

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
School
School of Information Systems
Research centre(s)
Centre for Data Science

Using applied NLP to extract reflective expressions from natural language text

Reflective practice is an important professional capability that is often developed through reflective writing. Within many disciplines, reflective writing is used as part of the learning process to help students develop reflective practice capability. However, this kind of writing is very different from other forms of writing as it is more about personal development and learning than it is about particular topics.Much of current Natural Language Processing (NLP) technologies are designed to focus on the content of text. This project …

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

Characterising distant galaxies by way of spectral energy distribution analysis

The analysis of galaxies found throughout cosmic time provides us with the means to probe the underlying characteristics of the known universe.Over the last few decades, new observations of galaxies with various ground and space-based telescopes have provided us with an abundance of multi-wavelength data.By coupling these observations with theory, spectral energy distribution analysis allows us to derive the intrinsic properties of distant galaxies, which provides constraints for various galaxy formation and evolution scenarios.During this project, you will have access …

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

Lifelong semantic mapping of large scale environments

When building a map of objects inside a real environment, this map can become quickly outdated as objects are moved around over time. This is especially true when the map is on the scale of a house, warehouse or a city.This PhD project investigates new methods for keeping a high-resolution semantic map up-to-date using partial, and possibly low-resolution, snapshots. These environment snapshots can be captured by sensors mounted on moving agents, such as vehicles and mobile robots. …

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

The cosmic star formation history measured from Evolutionary Map of the Universe (EMU) data

The cosmic star formation history (SFH) describes how the rate of star formation in the universe has evolved. This has been measured with increasing precision in recent decades. Using highly sensitive radio detections, this cosmic star formation history can be determined to the highest level of precision yet.The Evolutionary Map of the Universe (EMU) radio survey will measure up to 30 million radio sources in the coming few years. We estimate half of these will arise from star formations.Using the …

Study level
PhD, Master of Philosophy
Faculty
Science and Engineering Faculty
School
School of Chemistry and Physics
Research centre(s)

Programming polymers

Radical polymerisations play a key role in both commercial and fundamental research with it being in 45% of international polymer production at 100 million tons per year.However, radical polymerisations still suffer from synthetic drawbacks, such as all-carbon polymer backbones, which prevent their (bio)degradability.In this project, we'll develop novel polymers which can be programmed towards controlled degradability.Towards this goal, you'll develop a polymerisation technique that allows to incorporate small natural building blocks (i.e. peptides) into synthetic polymers. These peptide sequences will …

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

SECAN - Semi-continuum method software improvement

There exists a number of methods for bridge deck analysis. Some examples include grillage analysis and finite element analysis.SECAN is a software based on the semi-continuum method for bridge deck analysis. The latest version is developed using Microsoft Visual Studio. This project aims to improve the software for comparison with other bridge deck analyses.

Study level
Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Civil and Environmental Engineering
Research centre(s)

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