Spatial awareness of the devices in ubiquitous computing environments allows for more natural interactions for users (e.g. flicking content to a wall display). Current real-world deployments, however, do suffer from feasibility issues. Most of my research revolves around spatial-awareness in ubiquitous environments. My earliest work in this domain involved working on a framework for building multi-surface applications, in which I implemented an algorithm for combining input from multiple Microsoft Kinect sensors to track wider spaces and overcome occlusion problems. This framework is now being used to explore multi-surface environments in a number of industrial domains.

Later on, I worked on a research project that evaluated a device-based tracking approach in comparison to existing room-instrumentation approaches. My latest work revolves around creating a unified model for mapping gestures and tracking sensors in multi-surface environments.

I am most interested in exploring novel technologies and approaches, and enhancing existing implementations for achieving spatial-awareness and accurate tracking in multi-surface environments.

• Spatially-aware Ubiquitous Ecologies
• Design of Multi-Surface Environments
• Indoor Inertial Tracking
• Gesture-based Interfaces
• Supporting Collaboration in MSEs