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

We have 76 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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We have 76 Kingston University, Faculty of Engineering, Computing and the Environment PhD Projects, Programmes & Scholarships

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Computer modelling the development of organisations in the high-tech entrepreneurship ecosystem

Technological firms are regarded as key for national and regional economic development. Today, more than ever before, the business environment is burgeoning with innovation; Even simply Googling for apps and services to help boost elementary office efficiency, returns over 2000 items. Read more

Computational modelling and simulation of bio-inspired structures

Bio-inspired structures draw their primary inspiration from the sheer fecundity of nature in the diversity of forms and their constant evolution in order to better adapt to their environment. Read more

Robust perception and decision making for autonomous vehicles

Development of autonomous vehicles is seeing a growth in many different applications. As we increase the levels of automation and move into Self-driving cars, it is expected that these systems will combine a variety of sensors to perceive their surroundings in a robust manner and avoid human errors. 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

Development of ignition systems for energy systems

There have been consistent efforts in developing more fast and efficient combustion. Microwave discharges are widely used for plasma-assisted ignition of air/fuel mixtures. 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

Emergent Properties of Large Databases

The emergence of unusual or unexpected distributions in large data samples has resulted in some well-known laws, which includes Zipf’s Law in textual analysis [1], the Pareto distribution in the measurement of wealth [2], Benford’s Law in the distribution of first digits in real-world measurements [3], and Chargaff’s Second Parity Rule in genetics [4]. Read more

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

Human Motion Analysis using Computer Vision and Deep Learning

Analysis of human motion is implicitly or explicitly required in many areas such as healthcare, sports, video surveillance, body-based user interfaces and computer games and animation. Read more

Benchmarks for Data Clustering Algorithms in Data Science

Data Science problems focus on processing and analysing so-called Big Data to discover insights and patterns. Big Data examples include massive sensor data, unstructured and semi-structured historical data, and many types of social-media, or biological, or chemical data. Read more

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