
The research project is possibly one of the most satisfying parts of the course. It gives you the opportunity to take what you have learnt and apply it to a real project which is your own piece of research, and can be used to explore and develop specific interests.
You will work individually on a project and you will be assigned a project supervisor, normally chosen from one of the internationally recognised research groups in the School.
This project will use machine learning techniques to analyze beat patterns and rhythms in audio produced by human musicians and provide accompanying percussion parts.
The aim of this project is to take sports training and match data and extract relationships between these using data mining and machine learning techniques. This project is in collaboration with an external company.
There are two projects this year involving the analysis and visualization of medical images. These are collaborative projects with clinical partners in the Leeds Teach Hospital NHS Trust.
Segmentation of airways in 4D lung CT images
To segment the airways from 4D CT images and quantify the motion within the breathing cycle in order to better plan radiotherapy treatment.
3D vessel tracking on histopathology data of the liver
This project builds on current work on the 3D reconstruction and analysis of histopathology virtual slides. The project aims to automatically segment and build 3D geometric models of vessels found in liver tissue samples.
Human navigation often focuses on the familiarity of a route, known or memorable landmarks and other aspects that are considered during the formation of cognitive maps. This project will use such a cognitive approach to find the most appropriate pedestrian path between two points.
Two projects are collaborations with the School of Psychology to evaluation computational models against experiment data.
Computational analysis of human decision data
This projct will develop a model of a learning task and compare the output with the results of a human learning experiment.
Analysis of EEG data and model predictions
The aim of this project is to analyze and visualize EEG data to compare the results of an existing model.
There are several projects developing and evaluating cloud computing technologies. A number of these will be developed on our own cloud architecture available in the school.
This project aims to implement and evaluate cloud computing technologies to support analysis of large medical image data sets
To derive common data provenance requirements for e-science applications and extend existing frameworks to facilitate uptake of cloud computing technology for e-social sciences
This project will examine the green issues with cloud computing by investigating the problems and evaluating potential solutions.
To build a generic tool that aids the scheduling of interactive modules.
This project will develop and evaluate a computational tool for simulating two option pricing methods for the valuation of European options.
To develop software to visualise landforms such as mountains, valleys etc based on digital elevation data.