Advances in technology have allowed researchers to produce a huge amount of data in a short amount of time. Making any meaningful sense of this information in a timely manner is the next step in “big data.”
With a $1.2 million NSF grant, Sanguthevar Rajasekaran, Director of the Booth Engineering Center for Advanced Technologies, and a team of researchers will devise new algorithms that can efficiently make use of the almost inconceivably large set of information. It is the first NSF-funded grant for big data research project in the state.
“People end up generating so much data, and it’s a big challenge to process the humongous data sets,” said Rajasekaran, who will work on the project with researchers from the University of Florida and the Jackson Laboratory for Genomic Medicine on the UConn Health campus in Farmington, CT. The team includes Reda Ammar (CSE), Jinbo Bi (CSE), Joerg Graf (MCB), Sartaj Sahni (University of Florida), George Weinstock (JAX), and Yufeng Wu (CSE).
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