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.
Programme 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
Key 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
Delivered
Disciplines
Computer Sciences Machine Learning View 18 other PhDs in Machine Learning in United KingdomAcademic requirements
English requirements
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
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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.
Tuition Fee
-
International
16750 GBP/yearTuition FeeBased on the tuition of 16750 GBP per year during 36 months. -
National
5925 GBP/yearTuition FeeBased on the tuition of 5925 GBP per year during 36 months.
Living costs for 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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