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Governmental regulations and privacy concerns restrict access to data sets for individuals and only provide researchers with data in aggregated form. However, current machine learning and data mining techniques are restricted in their ability to effectively use such data. These limitations create roadblocks for companies looking for ways to better respond to their consumers’ needs while also providing safety and security for individual users.  

Prof. Michael Orshansky and Prof. Sriram Vishwanath of the Department of Electrical and Computer Engineering in The University of Texas at Austin's Cockrell School of Engineering have received a research grant as part of the Secure, Trustworthy, Assured and Resilient Semiconductors and Systems (STARSS) program. STARSS is a joint program created by the National Science Foundation (NSF) and Semiconductor Research Coporation (SRC).