School of Computer Science and Statistics
Traditionally, Kubernetes has been designed to manage clusters of servers and distribute processing load over them, while providing resilience and scalability. Various approaches have been proposed that stretch the traditional Kubernetes concept to multi-cluster solutions where hardware from multiple providers are combined and deployments can be distributed over available hardware according to a variety of … Read more
Current communication between devices and cloud infrastructure for the Internet of Things is based largely on IPv4 or IPv6. Information-Centric Networking (ICN) proposes to retrieve information from the ‘network’ based on named content instead of focussing on communication with a endpoints identified by addresses. Traditional sensors such as temperature sensors, GPS etc can be seen … Read more
Currently, communication protocols are developed based on best practices, intuition, and discussion amongst developers. The performance of these protocols is then measured in terms of throughput, use of available bandwidth, scalability, etc. These measurements demonstrate the performance of a protocol but do not give any indication about the quality of the design of the protocol. … Read more
In contrast to conventional web-browsers and servers, solutions for embedded systems are challenged by resource restrictions such as limited memory and processing power, reliance on battery power and restricted connectivity to communication networks. Concential web-browsers and servers are moving towards employing a combination of HTTP/3 and QUIC, potentially with WebTransport being based on top of … Read more
Current communication between devices and cloud infrastructure is based largely on IPv4 or IPv6. Information-Centric Networking (ICN) proposes to retrieve information from the ‘network’ based on named content instead of focussing on communication with a endpoints identified by addresses. ICN approaches such as Named-Data Networking (NDN) require consumers to express interests for individual chunks of … Read more
Learning a second language is a challenging and time-consuming task. While a myriad of strategies have been proposed, we are still far from reaching an optimal personalised solution. Users either drop out early in the process or, once they reach a sufficient level of proficiency, they hit a plateau that seems impossible to overcome. This … Read more
In the era of large-scale communication networks, understanding user mobility patterns is crucial for optimizing network resources, improving service quality, and enhancing user experience. Mobility models provide insights into how users move within a network, influencing network planning, resource allocation, and handover decisions. However, traditional approaches to identifying these models often rely on predefined assumptions … Read more
The growing complexity of communication networks, especially with the introduction of 5G and future 6G, requires new approaches to ensure that these networks can meet the increasing demands for low latency, high reliability, and efficient resource allocation. Traditional centralized control methods often struggle to cope with the dynamic nature of these networks, particularly in environments … Read more
Speeches by charismatic and not so charismatic politicians can sometimes create unexpected and revolutionary changes in nation states. Charismatic politicians can convey sentiments by a subtle choice of words – the so called emotion laden words and ordinary words- can precipitate major socio-political changes. In political debates the politicians use words that may discredit their … Read more
This project will deal with recognition of facial emotion recognition using generative models and comapring the results of GenAI models with key industry standard machine learning models. You will be building a transformer for facial emotion recognition – broadly expressions of happiness, anger, surprise, contempt, and sadness– and for recognising head movements – upward/downward, sideways, … Read more