Secure smart ubiquitous systems
We aim to combine machine learning with game theory to tackle malicious and adversarial behaviour against smart ubiquitous systems such as IoT, smart cities, and smart homes.
Effects of indoor air quality on human performance
This project involves in-situ monitoring of indoor conditions, EEG studies into the effect of carbon dioxide concentration on drowsiness and the development of situated displays for indoor air quality.
The Smart Grid
The Smart Grid
Meaningful Consent/Privacy
Meaningful Consent/Privacy
Algorithmic Game Theory and Mechanism Design
Algorithmic Game Theory and Mechanism Design
Multi-Agent Systems
Multi-Agent Systems
Argumentation-based analytics
Argumentation-based analytics
Responsible AI
This research theme is concerned with the underpinning methodologies, algorithms, and partnerships that will contribute to the development of the field of Responsible AI, with a focus on the development of intelligent agents and machine learning systems.
Autonomous IoT
With the latest advances in low-power sensing and nano technology, we are increasingly being surrounded by devices that are connected to the Internet.