This project explore the feasibility on detecting door slamming towards monitoring early signs of domestic violence.

This project aims to explain the output of a deep learning model used to detect anomalies in an IoT based industrial process.

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 demonstrate the viability of applying seamful design in location-based mobile museum applications.