Sensor-based systems form the bases of many modern computing and smart infrastructures, such as IoT, Smart Cities, Precision Agriculture, Industry 4.0, Logistics, and Data-centric Engineering etc. Established in 2000, the Adaptive Emergent Systems Engineering (AESE) group aims to embrace the many research challenges relating to the ability to get such systems to scale, remain robust when confronted with failure, maximise their usefulness while minimising or sharing resources, be energy neutral etc. Such systems bring new demands, and our particular focus is the examination of the behaviours of such systems and how these are impacted by their interactions with the physical world. Our aim is to not only expose what these behaviours are, but why they happen. In doing so, we aim to harness this understanding, to build safer, more robust and resilient sensor-based systems.
Our more recent work is examining how RF signals (from THz to Wi-Fi) can be used as radar-like sensors. We are currently applying this form of sensing to Industry 4.0 Condition Monitoring, Digital Agritech, Health and Human Activity Recognition among other applications.
Occasionally we do more speculative work around smart dust in terms of understanding mass densities, role compositions, resource scavenging, collaboration and self-configuration.