RESEARCH INVOLVESDeveloping advanced multi-source information fusion algorithms for large-scale systems.
RESEARCH RELEVANCEThe research is producing advanced algorithms for multi-sensor fusion for distributed, large-scale systems with both civilian and defence applications.
FUSING INFORMATION FOR A BETTER PICTUREIn his 1982 bestseller, Megatrends, John Naisbitt wrote: "We are drowning in information but starved for knowledge. . . Uncontrolled and unorganized information is no longer a resource in an information society, instead it becomes the enemy." Information fusion represents a response to this awareness that the current deluge of information needs to be controlled and organized so that we can make sense of it. Information fusion is the combining of data from different sources (including sensors, databases, etc.) in a way that provides better information (qualitatively or quantitatively) than any of the single sources involved.
Canada Research Chair Dr. Thia Kirubarajan has been working on information fusion processes for some time. Since it is clear that as sensor accuracy increases, more advanced processing algorithms are needed, Dr. Kirubarajan has taken on the challenge. He is developing efficient algorithms that can be used to track the evolving state of a system such as the movement of a plane or an automobile or a tissue cell. His algorithms allow computers to process immense amounts of disparate data, enabling the extraction of all possible information from "noisy" incomplete data derived from many different sources including radar, sonar, imaging sensors, and microphones.
Dr. Kirubarajan's research is providing innovative approaches to some challenging real-world issues (such as air/ground/maritime surveillance, wireless comunications, and biomedical imaging) in a variety of fields ranging from national defence and communications to biomedical engineering and aerospace.