The National Science Foundation, with support from the National Institutes of Health, awarded two grants totaling more than $1.7 million to Carnegie Mellon researchers to support new big data research projects on Oct. 3.
Christos Faloutsos, a professor in the Machine Learning Department, received an $894,892 award to develop theory and algorithms to tackle the complexity of language processing, and to develop methods that approximate how the human brain works in processing language. Faloutsos' co-principal investigator is Professor Tom Mitchell of Machine Learning.
Aarti Singh, assistant professor in Machine Learning, was awarded $820,000 to develop new statistical and algorithmic machine learning approaches that would benefit the fields of physics, psychology, economics, epidemiology, medicine, and social network analysis. Singh's co-PIs are Timothy Verstynen, assistant professor of psychology in the Center for the Neural Basis of Cognition, and Barnabas Poczos, an assistant professor of machine learning.