Assured Systems

Assured Systems logo Company:      Assured Systems - www.assured-systems.com/uk/

Brief description of the project:

Energy-efficient, privacy preserving machine learning for Internet-of-things applications.

The project involves researching methods for training machine learning algorithms without compromising user privacy or model accuracy in an energy-efficient manner. Applications for such machine learning models include smart energy monitoring, smart transportation and wearables.

This project is partnered with Assured Systems (UK) Ltd, a leading technology company offering high quality and innovative computer solutions to the embedded, industrial, and digital-out-of-home market sectors. Assured systems are keen to combine SEND research performed at Keele with new products and applications tailored towards the renewable and smart energy markets.

Student:   Chris Briggs

Supervisor:   Professor Zhong Fan; Professor Peter Andras