The OpenIoT middleware infrastructure supports flexible configuration and deployment of algorithms for collection, and filtering information streams stemming from the internet-connected objects.
This project explores the use of natural language to give instructions that might be interpreted by Internet of Things (IoT) devices in a domestic ‘smart home’ environment.
In this project, we present Feed me, Feed me, an exemplar that represents an IoT-based ecosystem to support food security at different levels of granularity: individuals, families, cities, and nations.
This project explores the privacy issues in Internet of Things domain in order to identify privacy challenges from different stakeholder point of views and potential research directions to address them.
This project aims to extract privacy tactics and privacy patterns that can be used to common challenges in IoT applications. The objective is to create rich design space for software designers so they can efficiently and effectively design privacy aware IoT application.
We explore how our previously proposed guideline can be used to design ‘new’ IoT applications. Specifically, we wanted to explore the Privacy Mindset of software engineers and how our proposed guidelines may help to enhance their Privacy Mindset.
This project aims at modelling building data with semantics to make them meaningful so the building managers (sustainable) can run sophisticated expressive queries over the data.
This project aims to develop new techniques to optimise the IoT search processes and examine the quality of the reseults.
This project aims to develop AI based negotiation techniques to assist end users to better protect their privacy
This project aims to explore how IoT can be taught efficitnely and effectively in differenct contexts (kids, highschoolers, university stdents, professional, hackers)