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computer network PhD Projects, Programmes & Scholarships
We have 138 computer network PhD Projects, Programmes & Scholarships
We have 138 computer network PhD Projects, Programmes & Scholarships
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Deep Learning based Computer Graphics for Creating Virtual Characters
This project aims at modelling human motion and body/facial shape data with deep neural network to synthesize virtual characters for computer graphics, animation and games. Read more
Computer Vision with Deep Learning for Human Data Modelling
This project focuses on the research of deep learning algorithms to model human data such as human images/video, 3D skeletal motion, 3D body/facial surfaces for computer vision tasks such as recognition, prediction and reconstruction. Read more
Computer Vision for Analysing the Context of Paintings, Drawings and Cartoon
This project aims at using advanced computer vision algorithms to analyse and understand the context of paintings, drawings and cartoon, which are also known as non-photorealistic imagery. Read more
5G/6G End-to-end Network Slicing Framework for Vertical Industries
Coventry University (CU) is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship. With the growing dependency of 5G networks on software, network slicing has emerged as a new paradigm to create a set of customised logical network instances on top of the same physical infrastructure. Read more
End-to-End Dynamic and Entanglement based Quantum Networking
Quantum communication technologies have substantially progressed over the last decade to allow point-to-point (p2p) quantum secure communication. Read more
PhD position in Computer Graphics - Predictive Rendering of Fluorescent Materials
Charles University. , Prague, Czech Republic. We are pleased to announce open PhD position for suitably qualified and highly motivated candidates in the. Read more
Last chance to apply
AI-based autonomous building environment mapping and fire asset detection for resilient risk management and insurance
Loughborough University has seen 94% of our research impact rated as ‘world-leading’ or ‘internationally excellent’, underlining the wide-ranging positive impacts that our research has on the world (REF, 2021). Read more
Cyber Security, Artificial Intelligence, Machine Learning and Blockchain Technology: Mitigating Cyber Attacks and Detecting Malicious Activities in Network Traffic
Research Group:
Applied Computing
Cyber attacks have become more widespread and several attacks have made headline news over the past decade, targeting industrial companies and governmental organisations. Read more
Enhancing Performance of Encrypted QUIC Network Traffic
User experience and user privacy are important drivers in the design of the latest Internet applications. The aim of this research is to enable seamless use of new privacy-enhancing methods, when used across broadband radio access networks. Read more
Computer-aided Detection of Osteoporotic Vertebral Fractures in Clinical Images Using Convolutional Neural Network Constrained Local Models (CNN-CLMs)
Osteoporosis is a common, degenerative skeletal disorder that increases the risk of fractures and causes significant morbidity and mortality. Read more
Radar signal processing based on neural network sequence model
Intelligent transportation and intelligent driving represent the current major trends in the development of the transportation industry, while environmental perception is the key core technology of transportation intelligence and is also a hot area of long-term academic research. Read more
PhD studentship in Formal Methods for Safe Artificial Intelligence
The School of Computer Science at the University of Birmingham offers one PhD position in formal methods for safe artificial intelligence. Read more
Security and Privacy of Energy-Constraint Internet of Things Communication using Distributed AI
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
Data integration and hypothesis testing for brain tumour multi-omics data
This project aims to develop computational and statistical methods for the integrated learning of biological networks from multiple sources to further our understanding of Glioblastoma Multiforme (GBM), a highly aggressive primary brain tumour for which there is currently no cure. Read more
Evaluation of ML/AI techniques to increase resilience of IoT Edge networks under cyberattacks
About the project. Cyber Security is one of the key challenges and a well known issue in the IoT ecosystem. Due to heterogeneity and resource constraints, optimisation, testing and validation of the end-to-end systems is a hard problem which leads to unsecure systems. Read more