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Information Science (face recognition) PhD Projects, Programs & Scholarships

We have 5 Information Science (face recognition) PhD Projects, Programs & Scholarships

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  Improve automatic speech recognition using emerging 3-D facial mapping technology
  Research Group: ISVR: Dynamics Group
  Dr S. Bleeck
Application Deadline: 31 May 2020

Funding Type

PhD Type

Supervisor. Professor Stefan Bleeck. Co-supervisor. Project description. The TrueDepth camera’s facial recognition system that has been recently introduced by Apple, Inc into iPhones and iPads provides ground-breaking new technology for user identification, but it has also potential applications far wider than that.
  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.
  Crowdsourcing Social Support: Using Virtual Reality to Examine the Effects of Self-Disclosure on Psychological Outcomes (Ref: SF20/PSY/BROWN)
  Dr G Brown
Applications accepted all year round

Funding Type

PhD Type

Current social media technologies allow individuals unprecedented possibilities for sharing information about themselves to large groups, expanding connections and opportunities for social support, thus potentially improving mental health, but the Centre for Mental Health has stated that much remains unknown about how posting on social media influences young people’s well-being.
  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.
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