Skip to main content

Intelligent Resource Constrained Systems

Embedded systems used in sensing, internet of things, wearables and robotics are typically resource constrained. Constraints can include computational power and memory, but typically, the key constraint is power. This is especially the case in battery powered or energy-harvesting devices, where the aim is to provide intelligent signal processing whilst respecting these constraints. In this activity, we investigate how to optimize algorithms and data processing to use fewer resources, without adversely affecting performance. Applications include health, environmental sensing and continuous positioning.



Past Members

Milad Alizadeh
Javier Fernández-Marqués
Nicholas Lane
Edgar Liberis
Muhamad Risqi U. Saputra
Marion Sbai
Catherine Tong

Selected Publications

View All