We are seeking an exceptional PhD candidate to join our cutting-edge research projects aimed at developing innovative solutions to enhance cyber security with deep learning-based continuous monitoring and response systems for real-time security incident detection and response in zero trust environments. Read more
Diabetes mellitus is a common cause of morbidity and mortality across the globe. Type 2 diabetes continues to rise in prevalence annually; from 1980 to 2004, Type 2 quadrupled in both prevalence and incidence [1]. Read more
In recent years, the Internet of Things (IoT) has progressed dramatically due to advancements in technology. It plays an important role in the development of abundant applications and economic ventures. Read more
This proposal is part of the Data-mdapps project which is a collaboration between Kingston University and the WHO European Office for the Prevention and Control of Noncommunicable Diseases (NCD Office) and focuses on addressing the challenges of developing a technical and security policy framework for digital health behavioural data processing. Read more
Development of autonomous vehicles are seeing a grown 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
Neuromorphic vision sensors enable the acquisition of scenes with limited energy requirements and low data rate, only acquiring information on what changes in the scene, with a behaviour similar to the one of the human eye. Read more
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
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
Kingston University has developed and pioneered the use of two innovative technologies in recent years that we hope will have a significant impact on the space and launch propulsion sectors. Read more
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
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
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
*Offer only available for the duration of your active subscription, and subject to change. You MUST claim your prize within 72 hours, if not we will redraw.
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