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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
Lead unit
School of Information Systems

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
Lead unit
School of Information Systems

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
Lead unit
School of Mechanical, Medical and Process Engineering

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
Lead unit
School of Chemistry and Physics

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
Lead unit
School of Electrical Engineering and Robotics

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

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
Lead unit
School of Information Systems

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
Lead unit
School of Chemistry and Physics

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
Lead unit
School of Civil and Environmental Engineering

Physics-informed modelling for microfluidics

The miniaturisation of chemical and biological processes for gas sensing, water purification, cell culture and separation, and micro-reactors is an important factor to reduce costs while increasing performance and efficiency. Miniaturisation requires microfluidic tools for the precise manipulation of complex fluids at the microscale. Microfluidics offers several advantages such as speed, precision and control of those physical processes.However, the lack of fundamental understanding of the microscopic flow mechanisms, in particular the behaviour of non-ideal fluid mixtures, is a critical aspect …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Mechanical, Medical and Process Engineering

Finite element methods for modelling the deformation of polymers

The finite element method (FEM) is by now a well-established and widely accepted approach for modelling the deformation of linearly elastic materials.In this project we will explore which FEM approach and constitutive laws may be applicable for modelling polymers, which have more deformation behaviour than a simple elastic material. Our long-term goal is to be able to accurately model the deformation of polymer bioscaffolds fabricated with the novel melt-electrowriting (MEW) additive manufacturing process. …

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

GPU acceleration for the lattice Boltzmann method

The lattice Boltzmann method has recently gained popularity for modelling complex fluid​ dynamics including in microfluidics and bio-engineering. The method is computationally expensive, especially for 3D calculations.The aim of this project is to develop codes for the Lattice Boltzmann method that utilise the parallelism of graphics processing units (GPUs) to extend our capabilities for modelling flow phenomena.

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

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