Overview
The aim of this Digital Media Processing and Biometrics course at the University of Hertfordshire is to conduct research and make original contributions to the advancement of knowledge in the following areas.
- Machine Learning, in particular Deep Learning for data mining and knowledge discovery
- Computer Vision technologies for object detection, recognition and tracking
- Biometrics (Face, Voice, and Multimodality) for forensics and security, Automatic Number Plate Recognition (ANPR), Big Data Architectures for Biometrics and Security
- De-identification for privacy protection
- Generative Adversarial Synthesis for attribute controlled image adaption, automatic text/image caption generation
- Speech Technology for speech recognition and spoken human-machine interaction
- Language Technology, including natural language processing and text mining
- Processing and Analysis of biomedical signals (brain, heart, muscles and body motions)
- Digital Media Processing including Content Based Multi-Media Retrieval, Big Data Architectures for Efficient Information Processing, Data (Multi-media) Analytics
- Computer Vision, Soft Computing (Fuzzy Logic, Neural Networks, Genetic Algorithms,), Deep Learning and Information Fusion for Decision Making
- Intelligent Transportation Systems (ITS) including Advanced Driver Assisted Systems (ADAS, information fusion from real time sensor data, adaptive vehicle design
What’s next for my career?
Our PhD programmes enable students to develop specialist research skills and knowledge. We aim to provide PhD projects that will challenge and in some cases even inspire our students. If you are self-motivated and want to improve your ability to understand and solve engineering problems, then a PhD with us may be right for you.
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Visit programme websiteProgramme Structure
Main subjects of investigation include:
- 3D Vision and S3D Visualization
- Virtual and Augmented Reality
- Haptic Feedback and Visual-Touch Coordination
- Graphically Integrated Visual Aids
- Visual Realism and Usability Studies in VR
- Human-Computer Interaction
- Telerobotics and Mobile Robot Navigation
- Immersive Tele-Health and 3D Endoscopy
- Smart Systems and Telepresence
- Computer Graphics
- Serious Games
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 36 months
- Part-time
- 72 months
Start dates & application deadlines
multiple start dates available; to apply, please email the Doctoral College.
Language
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Delivered
Campus Location
- Hatfield, United Kingdom
Disciplines
Computer Sciences Machine Learning View 93 other PhDs in Computer Sciences in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
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AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Applicants must have a good first degree (1st Class or 2.1) in Electrical and Electronic Engineering, Computer Science, Computer Engineering, or Maths. Fluent English.
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Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents18120 GBP / year≈ 18120 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents6100 GBP / year≈ 6100 GBP / year
Living costs
Hatfield
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find PhD's scholarship opportunities for Digital Media Processing and Biometrics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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