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Brunel University London, Computer Science PhD Projects, Programs & Scholarships

We have 16 Brunel University London, Computer Science PhD Projects, Programs & Scholarships

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  Design Guidelines for Musemedia – multiple sensorial media
  Prof G Ghinea, Dr A Money
Applications accepted all year round

Funding Type

PhD Type

Mulsemedia - multiple sensorial media - makes possible the inclusion of layered sensory stimulation and interaction through multiple sensory channels.
  Design Guidelines for Musemedia – multiple sensorial media
  Prof G Ghinea, Dr A Money
Applications accepted all year round

Funding Type

PhD Type

Mulsemedia - multiple sensorial media - makes possible the inclusion of layered sensory stimulation and interaction through multiple sensory channels.
  Designing interactions with digital money
  Dr M Perry
Applications accepted all year round

Funding Type

PhD Type

The PhD will explore how people use and interact with money to explore how digital systems can be designed for more effective and suitable purposes.
  Exploring the potential of human-like computing methods and applications in education or healthcare
  Dr A Money, Prof G Ghinea, Dr T Cribbin, Dr S Lauria
Applications accepted all year round

Funding Type

PhD Type

Intelligent, ‘human-like’ applications, 3D games, and interfaces are becoming more common in our everyday lives, and as an important area of focus within the fields of Multimedia / Human-Computer Interaction research.
  FoodBioSystems DTP - Food Processing with Solid State Microwave Technology for Higher Product Quality and Lower Carbon Footprint
  Prof S Tassou, Dr M Oruna-Concha, Dr V Stojceska, Dr J Rodriquez Garcia
Application Deadline: 6 March 2020

Funding Type

PhD Type

Research Group. FOODBIOSYSTEMS BBSRC DTP. Microwaves are well-established as sources of dry heat and are very widely used in the home and some industrial applications in the food sector.
  Geometric deep learning
  Dr A Miron
Applications accepted all year round

Funding Type

PhD Type

Deep learning has had tremendous success in a variety of applications. Nevertheless, many data don’t follow a euclidean underlying structure.
  Identifying Micro-service architectural erosion or inconsistency
  Dr N Ali
Applications accepted all year round

Funding Type

PhD Type

Micro services are becoming popular amongst technology providers, transportation industry etc. These not only claim to provide solution to the traditional problems such as agility, saleability, maintainability etc.
  Investigating methods and applications of citation context analysis
  Dr T Cribbin, Dr S Lauria, Prof G Ghinea, Dr A Money
Applications accepted all year round

Funding Type

PhD Type

Traditionally, scientometric/text-mining approaches have treated the content of scientific articles and their citations as distinct units of analysis.
  Investigating the value of using emotionally intelligent artificial conversational agents to carry out assessments in higher education or healthcare.
  Dr A Money, Dr T Koulouri
Applications accepted all year round

Funding Type

PhD Type

Artificial conversational agents, can be embodied (physical robots or digital avatars on a screen) or not embodied (chat-bots or digital assistants).
  Mapping Software Systems based on Domains
  Dr A Capiluppi
Applications accepted all year round

Funding Type

PhD Type

This project is based on inter-disciplinary research. on the one hand, it is a Computer Science project, where a good understanding of software programming is needed.
  Modelling the movements of goods between locations and countries
  Dr D Groen
Applications accepted all year round

Funding Type

PhD Type

The aim of this project is to create an agent-based model that mimics the movement of goods between locations and trading individuals in a given country-specific setting.
  Multi-fidelity Modelling of Electronics Cooling
  Dr J Tyacke
Applications accepted all year round

Funding Type

PhD Type

Electronics cooling is critical to the reliable performance of a vast array of todays technologies including datacentres, electric vehicles, avionics, telecommunications to name only a few.
  Novel machine learning methodologies for human action correction in videos
  Dr C Grosan
Applications accepted all year round

Funding Type

PhD Type

The goal of this research is to motivate patients with disabilities to get better in a faster, easier and fun way. It will apply artificial intelligence methods to a software that turns traditional physical therapy exercises into interactive applications, including video cogniexergames.
  Optimisation methods for (deep) neural networks
  Dr C Grosan
Applications accepted all year round

Funding Type

PhD Type

A machine learning algorithm can be viewed as a mapping between inputs and outputs, with the scope of optimising and tuning the parameters that describe it so that the performance is improved.
  Software Architecture Recovery and Consistency of Mobile Applications
  Dr N Ali, Dr R Neykova
Applications accepted all year round

Funding Type

PhD Type

Project Summary. Mobile applications are being developed by new platforms such as Android with their own programming languages, e.g., Java version for Android.
  Upper-Band MmWave (200-300 GHz) Massive-MIMO Beamforming using Artificial Intelligence for 6G Heterogeneous Networks
  Prof H Al-Raweshidy
Application Deadline: 31 January 2020

Funding Type

PhD Type

Massive multiple-input multiple-output (MIMO) systems have shown promising features to significantly increase spectral efficiency of cellular communication systems.
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