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Research degrees

PhD research student applications are welcomed by the IMS Research Group all year round.  Research students are valued members of our thriving, research-intensive team. We are particularly interested in supervising students' research in any of the broad range of topics listed above. Please note that the topic list is not exhaustive, so feel free to contact a member of IMS with your ideas. 

Some candidate PhD topics that group members are interested in supervising in the future may include, but are not limited to:

  • Delivering Student Centred Learning via Collaborative Digital Game-based applications.
  • Robot-Human Interaction
  • Virtual and mediated realities in Health care
  • Depth sensing technologies for automated falls prevention interventions and assistive equipment prescription.
  • 3D visualisation technologies to support clinicians and patients in carrying out falls prevention interventions
  • Physiological response based video summarisation
  • Multisensorial media-cues in e-learning.
  • Designing Web Content for Enhanced User Experience on an Internet-Connected Television Device
  • Olfactory-Enhanced Multimedia: A User’s Perspective
  • Self-beliefs in the Introductory Programming Lab and Game-based Fantasy Role Play
  • Improving patient education of falls risks via intelligent ‘human-like’ 3D gaming applications.
  • Sensor-based video summarisation
  • Delivering Student-Centred Learning education via intelligent gaming applications.
  • Exploring the value of intelligent robot-based assessments compared with traditional human-based assessment methods in higher education.

See below a list of available PhD projects in Computer Science that includes projects in our area:

Description
Supervisor
Funding
Modelling the movements of goods between locations and countries
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. The idea of this model is to ...
Self Funded
Intelligent human-computer interaction: system development and applications
The first generation of Artificial Intelligence (AI) research was rules-based and emulated classical logic to draw reasoned conclusions within a specific, narrowly defined problem domain. It was well ...
Self Funded
Exploring the potential of human-like computing methods and applications in education or healthcare
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 Inte...
Self Funded
Mapping Software Systems based on Domains
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. On the other hand, it is a Biolog...
Self Funded
Software Architecture Recovery and Consistency of Mobile Applications
Project Summary: Mobile applications are being developed by new platforms such as Android with their own programming languages, e.g., Java version for Android. Currently, mobile applications are small...
Self Funded
Optimisation methods for (deep) neural networks
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. The los...
Self Funded
Novel machine learning methodologies for human action correction in videos
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 ph...
Self Funded
Autonomous 5G Networks
5G Networks are expected to support many use cases ranging from autonomous vehicles, e-health, industry 4.0, entertainment, transport, smart cities etc. which will place a wide range of technical requ...
Self Funded
Design Guidelines for Musemedia – multiple sensorial media
Mulsemedia - multiple sensorial media - makes possible the inclusion of layered sensory stimulation and interaction through multiple sensory channels. The recent upsurge in technology and wearables pr...
Self Funded
Artificial intelligence technology development for medical applications
In this project, advanced deep learning algorithms will be developed for medical data (e.g. biomedical signals, images, sound, touch, pressure, etc.). The sensors will be studied, signal processing me...
Self Funded
 

Fully-funded studentships

Our funded studentships become available at different times of the year. Please keep checking our page regularly to see the latest funded opportunities. We also advertise all our funded studentships as soon as they become available on the @BrunelResearch twitter account.

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