This project demonstrates how to utilise a digital platform to be benefited by sustainable circular supply chain.
This project explores the role of tiny cameras towards augmenting anomaly detection within smart homes
This project aims to develop a layered framework to enhance the resiliency of smart buildings.
This project develops a video analytics towards anomaly detection on the edge for smart cities.
This project meassure the Impact of AI-Assisted Personalised Blended Learning in the context of IoT
This secondment aims to explore how to add layers of resilience to built environments.
This project aims to making linked data observatories discoverable through end-user development.
This project develops an AI technique to Augmented Security by Design for Internet of Things systems.
This project aims to develop distributed predictive analytics technique to support edge computing scenarios.
This project aims to design Low Power Internet of Things Infrastructure for Harsh Environments.
This fellowship aims to explore how can we use low-cost multi-sensors to detect cyber attacks against ICS.
This project aims to design Privacy-aware IoT systems to help older adults and people with learning disabilities.
This project develops a technique to detect cybert attacks using cyber physical behavioural data.
The project aims tackl rural isolation, improve farm security and bolster the tourism industry
This project developed a user study platform that allows for expressing diverse data trading preferences.
This project aims to teach about nutrition to school children using interactive tangible objects.
This project aims to develop a Semantic Data Integration for Forest Observatory.
This project explores how to secture In-vehicle edge data communication and analytics.
This project develops a design framewotk to help adapting to discofort towards .
This project creates a semantically-enriched queryable edge data store for smart homes.
This project develops a technique to perform access control based on parent-child relationship.
This project develops a human activity simulation (real-time or virtual-time) tool for smart homes.
This project develops a methods to empower everyday end users to manage their privacy better.
This project aims to explore how IoT can help to conduct wildlife research.
This project aims to study how IoT can be used to enhance cosplay experience.
This project developed an crowdsourcing platform that allows to dissect and compare IoT products.
This project aims to study how BLE beacons based technology can be used to track poachers.
This project aims to study how SMS based sensing technology can be used to track poachers.
This project aims to study Internet connected physical object manipulation based food ordering.
This project explores how to develop reusable privacy components facilitate IoT application development.
This project aims to create a semantically enriched quarriable smart city data markets.
This project aims to analyse vulnerabilities of interactions between edge devices, cloud platforms and legacy ICS systems.
This project aims to develop a 100 node testbed to support data science and edge computing research.
This project explores optimal placement and scheduling of Service Function Chaining (SFCs) under security constraints
This project aims to explore how Privacy by Design techniques can be automatically integrate into a given IoT application design.
This project aims to develop usable techniques to capture non-functional requirements (e.g. Privacy) in the Internet of Things application designs
This project aims to explore how IoT can be taught efficitnely and effectively in differenct contexts (kids, highschoolers, university stdents, professional, hackers)
This project aims to develop new techniques to optimise the IoT search processes and examine the quality of the reseults.
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.
We explore how our previously proposed guideline can be used to design ‘new’ IoT applications.
This project aims to extract privacy tactics and privacy patterns that can be used to common challenges in IoT applications.
This project aims to develop AI based negotiation techniques to assist end users to better protect their privacy
The Sensing as a Service (S2aaS) model promotes data exchange/trading between data owners and data consumers.
Fog computing is an architecture that uses near-user edge devices to carry out a substantial amount of computation, storage, communication.
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.
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 how BLE beacon signal strength arise in three different real world environment in order to extract design guidelines.
We designed, implemented and evaluated the Ghost Detector - an educational game for children to demonstrate the viability of applying seamful design in location-based mobile museum applications.
We survey over 100 IoT smart solutions in the marketplace and examine them closely in order to identify the technologies used, functionalities, and applications.
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.
The OpenIoT middleware infrastructure supports flexible configuration and deployment of algorithms for collection, and filtering information streams.
This project aims to envision search, discovery and configuration in Internet of Things domain.
This project aims to build a mobile sensor data processing platform for resource constrained devices to support sensing as a service model.
This project aims to explore the possibility of using mobile phone as a sensor.