This project develops a video analytics towards anomaly detection on the edge for smart cities.
This project aims to develop distributed predictive analytics technique to support edge computing scenarios.
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 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.