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Cardiff University, Cardiff School of Computer Science & Informatics PhD Projects, Programs & Scholarships
We have 44 Cardiff University, Cardiff School of Computer Science & Informatics PhD Projects, Programs & Scholarships
We have 44 Cardiff University, Cardiff School of Computer Science & Informatics PhD Projects, Programs & Scholarships
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Beyond Bayesian Machine Learning: Self-Learning Networks from Imaging Uncertainties
Research Group:
Visual Computing
About the Project. Deep Learning (DL) algorithms have attracted extensive attention specifically in the last decade in almost all signal processing research areas. Read more
Advancing Non-reversibility in Bayesian Networks for Time Series Prediction
Research Group:
Visual Computing
About the Project. Bayesian Sampling has been very well studied in the literature for investigating various complex time series and regression analysis problems up to date. Read more
Personal Data Store, Smart Cities Data Marketplaces, and Sensing as a Service for Internet of Things (Self-Funded Only)
The Internet of Things envisions the creation of an environment where everyday objects (e.g., microwaves, fridges, cars, coffee machines) are connected to the Internet and make users’ lives more productive, efficient, and convenient. Read more
Privacy and Security by Design for Internet of Things (Self-Funded Students Only)
The design process for Internet of Things (IoT) applications is more complicated than for desktop, mobile, or web-based platforms. Read more
Semantic Web Technologies and Linked Data for Internet of Things (Self-Funded Only)
The ultimate goal of Semantic Web is to make the machine to understand the Internet data. To enable the encoding of semantics with the data, well-known technologies are RDF (Resource Description Framework) and OWL(Web Ontology Language). Read more
Internet of Things Infrastructure for Sustainable Wildlife Conservation (Self-Funded Students Only)
This project will investigate the design and development of an end-to-end, distributed, Internet of Things (IoT) infrastructure to support sustainable wildlife conservation. Read more
Adaptive Cyber-Physical Security Towards Resilient Built Environments
Research Group:
Complex Systems
We increasingly rely on Internet of Things (IoT) devices in our daily lives. Smart devices are being deployed everywhere, ranging from smart cities to smart homes. Read more
Edge Computing for Internet of Things (Self-Funded Students Only)
This project has two different research themes. Edge Computing and Data Science. Edge Computing. Read more
Adaptive Service Composition Techniques and Algorithms for Internet of Things (Self-Funded Students Only)
Service composition is a collection of services where, many smaller services are combined together to a larger service. Service composition is the problem of aggregating services in such a way that given (functional and not functional) requirements are satisfied. Read more
Cyber Incident-Response of Electric Vehicle Infrastructure
Context. Advanced cyber-attacks can massively disrupt the physical systems such electric vehicle (EV) infrastructure. It is not always possible to protect the system against potential threats and the available detection capabilities may not be enough. Read more
Cyber Resiliency of Electric Vehicle Infrastructure
Cyber resiliency is one of the key requirements for constantly fighting against cyber-attacks on critical infrastructure. Research community as well as industry have realised that providing cyber resiliency is one of the key challenges as of now. Read more
Estimate Cyber Risks for Electric Vehicle Infrastructure
Context. Currently there is an urgent need for a sustainable digital route to zero-carbon road transport by facilitating low-carbon charging of electric vehicles (EVs) to meet the 2030 target to ban all new petrol and diesel cars, and 2050 Net-Zero. Read more
Improving Electric Vehicles’ Safety and Security through Cyber Situational Awareness
Context. To reduce greenhouses gases from the largest emitting sector, electric vehicles (EVs) present great opportunities for country like UK. Read more
Quantifying Uncertainty in Nonlinear Time Series Modelling: When Trans-dimensional Sampling meets Optimal Transport (Td-OT)
About the Project. The epistemic uncertainty caused by variable dimensionality and model structures is a widespread problem in various signal processing applications such as nonlinear time series modelling, system identification, communication system channel modelling. Read more
Knowledge discovery with logical generative model
Research Group:
Data and Knowledge Engineering
This project aims to study and implement algorithms for knowledge discovery from potentially inconsistent, incomplete, dynamic, subjective and distributed data. Read more
