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University of Reading, Department of Computer Science PhD Projects, Programs & Scholarships

We have 8 University of Reading, Department of Computer Science PhD Projects, Programs & Scholarships

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  Artificial Intelligence Enabled Smart LED Lighting for Eco, and Assisted Living Space
  Dr V Ojha, Dr H Wei
Application Deadline: 4 March 2019
Internet of Things (IoT) is the fastest emerging research topic in Computer Science. It aims to connect devices, equipment, and home appliances for creating Smart, Eco, and Assisted living space.
  Automated Verification of WebAssembly Programs
  Dr M Lester
Applications accepted all year round
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.
  Data Science approaches for the analysis and monitoring of atypical brain states
  Dr G DiFatta
Applications accepted all year round
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.
  Development of a Visual Analtyics Methodology for Streaming Data
  Dr F Stahl
Applications accepted all year round
The velocity aspect of Big Data Analytics stems from recent advances in hardware and software technology to sense, capture process and communicate data.
  Epidemic Propagation for Decentralised Consensus in Blockchain
  Dr G DiFatta, Prof A Badii
Applications accepted all year round
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
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.
  Towards Conversational Recommender Systems In the Era of Big Data
  Dr H Liang
Applications accepted all year round
To be able to cope with complex, huge, diverse, and dynamic data, people need the assistance of intelligent information systems such as recommender systems for finding, sorting, and filtering the available information.
  Unsupervised Predictive Algorithms for Data Streaming Mining coping with unlabelled classes input
  Dr F Stahl, Prof A Badii
Application Deadline: 4 March 2019
The field of Data Stream Mining is concerned with the analytics of high velocity Big Data Streams. A data stream is a sequence of consecutive data instances that is infinite and generated in real-time.
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