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We have 81 Kingston University, Faculty of Engineering, Computing and the Environment PhD Projects, Programmes & Scholarships

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Faculty of Engineering, Computing and the Environment  Kingston University

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Kingston University, Faculty of Engineering, Computing and the Environment PhD Projects, Programmes & Scholarships

We have 81 Kingston University, Faculty of Engineering, Computing and the Environment PhD Projects, Programmes & Scholarships

Medical Image Analysis using Deep Learning

Medical Image Analysis aims to extract information from available visual modalities such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and Ultasonography (US) to detect conspicuous structures, quantigy their properties, evaluate the effectiveness of treatment or diagnose a condition. Read more

Mapping solar PV potential for existing buildings stocks in the UK by deep learning of satellite and aerial images data

Project Abstract. We are seeking an ambitious PhD candidate to join a cutting-edge research project aiming to map the solar photovoltaic (PV) potential for existing building stocks in the UK through the application of deep learning on satellite and aerial image data. Read more

Machine Learning and Domain Decomposition methods for Fluid Dynamics

Modelling of many modern applications leads to linear systems whose size is too large to allow the use of direct solvers. Thus, parallel solvers are becoming increasingly important in scientific computing. Read more

Intelligent, Energy Efficient and Secure Tactile Communication using Federated Learning in 6G Network

In 5G, ultra-reliable low-latency communication has been a backbone for various applications that need an extremely low delay. However, further research will be required to minimize the round trip delay and improve energy efficiency and security of user data in the 6G network [1]. Read more

Image-based Recognition of Unidentified Featured Objects (UFOs)

With the development of deep learning approaches and convolutional neural networks (CNN) in particular, the task of recognising objects from an image has become associated with the ability to train a network using a large number of labelled images for each class of interest [He2016]. Read more

Identification and characterisation of liquids using ultrasound and machine learning

This project involves further development of an analytical system for identifying and characterising liquids based on the formation of liquid drops and employing interferometric ultrasound methods to investigate them. Read more

Hydrological controls on the Vaiont landslide

The Vaiont landslide occurred in 1963 in northern Italy and has perplexed researchers ever since. Recently, however, new geological information and interpretations have led to an entirely new framework for understanding the event. Read more

Exploration of deep learning based generative adversarial networks (GANs) to mitigate bias in the evaluation of medical images among diverse population and disease sub-groups

Medical image analysis using Deep Learning models involves training on progressively larger datasets. Homogeneity of data within the training set, particularly in its representation of diverse population sub-groups and various disease stages, substantially influences model effectiveness. Read more

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