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University of Reading PhD Projects

We have 187 University of Reading PhD Projects

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Showing 1 to 15 of 187
  A new approach to modelling complex human/robot movement dynamics using techniques from machine learning
  Prof X Hong, Prof W Harwin, Prof R Mitchell
Applications accepted all year round

Funding Type

PhD Type

Advances in sensing and communications have made it easy to obtain large sets of measurements about an entity, activity or event.
  Artificial Intelligence based analysis and exploration of medical, health and biobank data
  Dr V Ojha
Applications accepted all year round

Funding Type

PhD Type

A large number of forums offer medical and health-related data such as UK Biobank. In this project, we explore the potential of machine learning tools and techniques to efficiently solve the problem of a large domain.
  Automated Verification of WebAssembly Programs
  Dr M Lester
Applications accepted all year round

Funding Type

PhD Type

The new language WebAssembly is gaining popularity as a compilation target for Web applications. Unlike many modern languages, it has been carefully specified using a reference implementation in Standard ML.
  Big Data Analytics and Mining: investigating and testing distributed formulations of data mining algorithms that are suitable for the MapReduce paradigm and for other distributed computing approaches
  Dr G DiFatta
Applications accepted all year round

Funding Type

PhD Type

Big Data indicates very large and complex data sets that are difficult to process using traditional and sequential data processing applications.
  Big Data Mining for Fighting Dementia
  Dr G DiFatta
Applications accepted all year round

Funding Type

PhD Type

Dementia describes a set of symptoms that can include memory loss and difficulties with thinking, problem-solving or language. Alzheimer’s Disease (AD) is the most common cause of dementia and is a terminal neurodegenerative disease.
  Computer Vision and Remote Sensing – Terrain Feature Classifications
  Dr H Wei, Prof J Ferryman, Prof X Hong, Dr G DiFatta
Applications accepted all year round

Funding Type

PhD Type

The research is mainly concerned with automated image understanding and processing of remotely. sensed data, such as multispectral/hyperspectral images, as well as LIDAR data, which provide height information of terrain.
  Data Mining and Visualisation in High Dimensional Spaces
  Dr G DiFatta
Applications accepted all year round

Funding Type

PhD Type

The mining and the visualisation of data in high dimensional feature spaces require the design of efficient algorithms. In high dimensional data spaces distance functions lose their usefulness and optimisation techniques, machine learning and data mining algorithms are very inefficient and ineffective.
  Data Science approaches for the analysis and monitoring of atypical brain states
  Dr G DiFatta
Applications accepted all year round

Funding Type

PhD Type

In many neurological disorders, comparable initial neurological deficits may result in a wide range of functional and behavioural deficits in the long term, as the condition develops.
  Deep learning for Image and Video Processing and Information Retrieval
  Dr V Ojha
Applications accepted all year round

Funding Type

PhD Type

In the age of large scale automation and data explosion, deep learning offers means to process unstructured image data and allow us to receive a large amount of information.
  Deep Neuroevolution for Multi-task Learning
  Dr G DiFatta, Prof X Hong
Applications accepted all year round

Funding Type

PhD Type

There is an opportunity to apply for a PhD student position in Machine Learning. The overarching aim of this project is to contribute to theory and applications of machine learning with effective deep Neuroevolution algorithms and optimization methods.
  Developing methods for the analysis of chromosome conformation data
  Dr T Thorne
Applications accepted all year round

Funding Type

PhD Type

Chromosome conformational data allows us to investigate the three dimensional structure of the genome. This project will involve developing novel computational and statistical methods for the analysis of genomic contact data.
  Developing pipelines for the inference of gene regulatory networks
  Dr T Thorne
Applications accepted all year round

Funding Type

PhD Type

Gene regulatory networks are fundamental to many processes that take place in the cell. However learning the structure of these networks from high-throughput experimental data and deriving useful biological insights is challenging.
  Epidemic Propagation for Decentralised Consensus in Blockchain
  Dr G DiFatta, Prof A Badii
Applications accepted all year round

Funding Type

PhD Type

In Blockchain all nodes must interact and agree seamlessly, validating blocks and transactions. Consensus in Blockchain can be achieved using Proof-of-Work or Proof-of-Stake.
  Functional Programs as Spreadsheets
  Dr M Lester
Applications accepted all year round

Funding Type

PhD Type

Spreadsheets are widely used as a calculation tool in scientific modelling, business and finance. A spreadsheet application is a standard part of any office productivity suite.
  Identification of tree species based on UAV captured images
  Dr H Wei, Prof J Ferryman, Dr G DiFatta
Applications accepted all year round

Funding Type

PhD Type

Computer Computer vision technology has been found to be an important application in remotely sensed data understanding. This research exploits high‐resolution images captured by UAV payload cameras to identify tree species.
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