Research Interests:
Sensor validation techniques, sensor fusion methodologies, sensor networks, smart dust motes.

Current Research Abstract:
I am working on research associated with the “MEMS ‘Smart Dust Motes’ for Designing, Monitoring and Enabling Efficient Lighting” project, which develops the foundation to use ‘smart motes’ to construct a sensor network for the decisions of energy usage, which can adapt to all the building without enable low cost changes to the existed wiring systems. My research currently focuses on the validation and fusion of sensed data. The validation and fusion technology is extremely important to the development of sensor networks for the accuracy of prediction, decision-making, noise rejection and control implementation. Lighting efficiency is the starting point of our research project, which will later be extended to ventilation and heating. The first step of my research is to evaluate and extend the sensor validation and fusion algorithms developed previously for particular usage on vehicles and gas turbines to the sensor network. And then integrate the revised algorithms with other parts of the decision-making system developed by the “smart energy” team members, and implement them into the real sensor networked building for benchmarking and evaluation.