The research of this lab primarily focuses on multi-sensor data fusion, situation assessment, multiple target tracking, Bayesian networks modeling and inference, distributed data fusion,ad-hoc sensor networks, and artificial neural networks technologies.
Some of the recent research projects are:
- Image-based Tracking and Sensor Resource Management for UAV's.
- Information Genealogy in Distributed Fusion.
- Fusion Performance Modeling in Sensor Networks.
- Predictive situation awareness with probabilistic ontologies.
- Collaborative Decision Processing for Dynamic Spectrum Access in Programmable Wireless Networks