The mobile fog computing project proposes to develop effective, low-complexity, scalable and flexible offloading strategies that operate over a mobile fog computing architecture, in which small-cell base stations are endowed with computing capabilities to offer proximate wireless access and computing. The MRI project puts forth powerful models capturing the characteristics of big dynamic magnetic resonance imaging (MRI) data, and then offering architectures and algorithms, while revealing fundamental insights into various analytical and implementation trade-offs involved. 

For more information:

http://www.nsf.gov/awardsearch/showAward?AWD_ID=1514403&HistoricalAwards=false

http://www.nsf.gov/awardsearch/showAward?AWD_ID=1527625&HistoricalAwards=false