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Dong Wang Receives NSF Grant

Virginia Watterson • DATE: May 3, 2016

Dong Wang, assistant professor in the Department of Computer Science and Engineering,was awarded an NSF grant for $175,000 as a sole PI for his proposal titled, “CRII: CPS: Towards Reliable Cyber-Physical Systems using Unreliable Human Sensors.”

The project is the first step towards building reliable Cyber-Physical Systems (CPS) that use unreliable humans as sensors. A growing number of CPS domains, such as environment, transportation, energy, and disaster response, involve humans in non-trivial ways. Humans act as sensors in these scenarios when they contribute data (either directly or via sensors they own) that a CPS application can use. Using humans as sensors (commonly known as social sensing or crowd sensing) is an emerging paradigm, which provides unprecedented opportunities to sense the physical world in an inexpensive, versatile and scalable manner. However, these benefits are based on the assumption that the human-sensed data are reliable, but this is not always the case. The objective of this project is to develop a new Reliable Social Sensing Model (RSSM) and system prototype, which enables correct reconstruction of states of physical environment from unreliable human sensors.