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Computer Science & IT (face recognition) PhD Projects, Programs & Scholarships

We have 7 Computer Science & IT (face recognition) PhD Projects, Programs & Scholarships

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  Computer based face analysis for automated and efficient perception of faces
  Research Group: Visual Computing
  Prof H Ugail
Applications accepted all year round

Funding Type

PhD Type

A PhD position is available at the Centre for Visual Computing on the topic of human facial analysis using computational methods and techniques.
  Face identity recognition: Exploring the role of observer motion and motion of viewed person
  Dr K Lander, Dr P Warren
Applications accepted all year round

Funding Type

PhD Type

The ability to identify people around us is crucial to our everyday lives, determining the nature of our social interactions and relationships.
  Developing Robust Visual Recognition Frameworks using Synthetic Data (Application Ref: SF19/EE/CIS/HO)
  Dr E Ho, Dr H Shum
Applications accepted all year round

Funding Type

PhD Type

Deep Learning is one of the major research themes across different areas in scientific research. With the promising performance and results presented over the last few years, deep learning algorithms are dominating a lot of data-driven tasks in visual recognition.
  BioVision: bio-inspired computer vision using deep architectures (Advert Reference: SF19/EE/CIS/BELATRECHE)
  Dr A Belatreche, Dr F Khelifi
Applications accepted all year round

Funding Type

PhD Type

The primate visual system outperforms the existing automated vision systems in almost all measures.
  Developing a holistic data analytical model for reducing workload on doctors in NHS General Practices by safely shifting significant workload to other competent professionals (Advert Reference: SF19/EE/CIS/ALI)
  Dr A Ali, Dr S Khan
Applications accepted all year round

Funding Type

PhD Type

Primary care is critical to the effectiveness and sustainability of the health system in the UK. This is recognised in the current transformation of healthcare that aims to provide care and treatment in the community rather than through hospital-centric services.
  Information Component Analysis via Deep Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

As their prominent characteristics, perceptual data often convey the mixing information, which often results in the inadequate performance for a specific perceptual information processing task due to the interference of irrelevant information components.
  Machine Learning for Automatic Plankton Detection, Identification and Quantification. PhD in Computer Sciences (NERC GW4 + DTP)
  Dr N Pugeault
Application Deadline: 6 January 2020

Funding Type

PhD Type

Lead Supervisor. Dr Nicolas Pugeault, Department of Computer Science, College of Engineering, Mathematics and Physical Sciences, University of Exeter.
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