Automatic assessment of blood flow in the pulmonary veins using 4D Flow MRI
Develop a method to automatically extract and analyse blood flow curves from the pulmonary veins using 4D Flow MRI data, by exploiting atlas-generated segmentations. CMIV
Automated quantification of cardiac fat from MRI using machine learning
In this project we aim to implement a convolutional neural network to enable automated segmentation of the fat surrounding the heart from MR images.
MSc thesis: Deterministic Communication with Virtualized Gateways new
Software-Defined Radio (SDR) enables the development of virtualized IoT gateways. We want to explore deterministic communication.
MSc Thesis: Mobile Drone Computing new
Unmanned aerial vehicles are revolutionising mobile sensing applications. We use 5G will need ways to orchestrate a shared aerial space.
MSc thesis: Multi-modal IoT Sensing using Edge Computing and Machine Learning new
Modern Internet of Things sensing devices come with a plethora of different sensors and actuators. To make sense out of the sensed we use edge computing and machine learning
MSc Thesis: On-the-fly upgrade of network stacks in resource constrained devices new
Deployed IoT devices need to be updated. We are investigating how to efficiently upgrade networking stacks on the fly using over-the-air updates.
Security Assurance for 5G Network Nodes new
This thesis will mainly follow SECAM specification to design and implement automated audit and evaluation solutions for 5G critical network interconnect nodes (e.g. eNodeB)
Secure Enclaves on Low-Power Embedded RISC-V Architectures new
RISC-V is especially appealing for security research because only open-source hardware can be fully audited for vulnerabilities.
MSc Thesis: Approximation for Battery-less IoT new
We want to look at how approximate and anytime computing, that is, algorithms able to return approximate answers at lower costs, play in the field of the battery-less IoT.