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We have 100 Artificial Intelligence (quality) PhD Projects, Programmes & Scholarships

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Artificial Intelligence (quality) PhD Projects, Programmes & Scholarships

We have 100 Artificial Intelligence (quality) PhD Projects, Programmes & Scholarships

Cloud XR QoE for Programable Networks: Understanding how to deliver high-quality immersive XR experiences over future programmable networks.

Cloud rendered immersive Extended Reality (XR) has many applications across consumer, enterprise, and industry domains. Cloud gaming enables consumers to play immersive games on a variety of client devices by streaming content rendered from remote GPU servers. Read more

Perceptual quality assessment on reconstructed CT images

Although Computed Tomography (CT) scan has been widely used for accurate disease diagnosis and treatment, there is a risk that patients may be exposed to a high amount of ionising radiation due to the frequent use of CT scan. Read more

Exploiting AI to assist research policy in Agritech/Medtech.

The Postgraduate Research Programme MedAgriTech AI eXcellence (MATX) offers 12 PhD research scholarships to commence in 2024. Each project will include an enterprise placement of minimum 12 weeks duration. Read more

AI-Enhanced Self-Updating Digital Twin for Optimised Spray Drying in Dairy Manufacturing

The Postgraduate Research Programme MedAgriTech AI eXcellence (MATX) offers 12 PhD research scholarships to commence in 2024. Each project will include an enterprise placement of minimum 12 weeks duration. Read more

Understanding Deep Learning

Supervisory Team. Antonia Marcu, Jonathon Hare. Project description. Deep Learning (DL) is a widely successful tool. However, there are many fundamental challenges left to solve in DL. Read more

Data-Centric Solutions for Earth Observation Challenges: Developing Cutting-Edge Techniques for Remote Sensing Analysis [SELF-FUNDED STUDENTS ONLY]

In today's data-driven landscape, the importance of data-centric machine learning methodologies cannot be overstated where they prioritize the quality, diversity, and accessibility of data, recognizing that the performance and reliability of machine learning models heavily depend on the data they are trained on. Read more

Data-Centric Solutions for Earth Observation Challenges: Developing Cutting-Edge Techniques for Remote Sensing Analysis

In today's data-driven landscape, the importance of data-centric machine learning methodologies cannot be overstated where they prioritize the quality, diversity, and accessibility of data, recognizing that the performance and reliability of machine learning models heavily depend on the data they are trained on. Read more

Enriching Music Libraries [SELF-FUNDED STUDENTS ONLY]

  Research Group: Visual Computing
Project description. Music is an important phenomenon in human civilization, about which we understand surprisingly little. The information contained in musical scores is the central resource for musicological research, performers, composers, and librarians. Read more

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