CSRC research themes and units
This theme carries out theoretical and applied research in a number of areas, including optimisation, machine learning, and human-interactive adaptive systems. We have a strong emphasis on biology-inspired techniques such as evolutionary computation, memetic and self-learning systems, and reinforcement learning. Recent examples of how our research has been applied include patient and customer modelling, software design, and green energy system design.
The theme considers both cyber and digital security, with particular focus on app security, context-aware systems, and small devices including but not limited to embedded control systems, IoT applications, sensor networks, etc. We work with the South West Regional Cyber Crime Unit and have applied our research in the aerospace and military sectors.
This theme covers a range of topics, including big data architecture, data integration and record linkage, data analytics, graph mining and network analysis, information extraction and text analysis, knowledge management, data governance, recommender systems and machine learning. Our research has, in particular, focused on health, social and business data science applications.
This theme is focused on the boundaries where computing becomes touch, sense, and more, with application to IoT, interactive music, and citizen science. Co-creators of the Bristol LoRaWAN lower power network, we work with local industries and community groups to bring cheap and accessible sensor technology to all. The UWE Sense kit, includes new hardware for building sensor kits, and advanced graphene based sensors are under development. Rustyarm (Rust on ARM) is a core technology for us and we are looking at using the features of the programming language Rust to embedded computing, with a particular focus on ARM’s advanced micro controllers. Resource-bounded computing in areas such as IoT applications is also an area of interest for us.
This theme covers various facets of the system development life cycle for smart cities. This includes stakeholder engagement and requirements management, city data governance and analytics, security and privacy, smart city applications development using distributed technologies eg Cloud, Edge, Blockchain, sensor nets, piloting and application evaluation. Our main areas of interest include but are not limited to citizen participation in urban governance; policy modeling; social network analysis and behavioural analysis. Recent examples of our work are on ICT-enabled participatory governance and behavioural analysis, making effective use of city open data, and use of Blockchain in city applications.