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Dr. Emilio Ferrara is a Computer Scientist at the USC Information Sciences Institute.
Ferrara's research interests include designing machine-learning systems to model and predict individual behavior in techno-social systems, characterize information diffusion and information campaigns, and predict crime and abuse in such environments.
He has held various visiting positions in institutions in Italy, Austria, and UK (2009-2012). Before joining USC in 2015, he was a Research Assistant Professor in the School of Informatics and Computing of Indiana University (2012-2015).
Ferrara holds a Ph.D. in Mathematics and Computer Science from the University of Messina (Italy), and has published over 60 articles on machine learning, network science, and social media, appeared in top venues including PNAS, Communications of the ACM, Physical Review Letters, and several ACM and IEEE transactions and conferences.
His research on social network abuse and crime prediction has been featured on the major news outlets (TIME, BBC, The New York Times, etc.) and tech magazines (MIT Technology Review, Vice, Mashable, New Scientist, etc).
Data Mining & Machine Learning Data Science Network Science & Online Social Networks Social Computing World Wide Web & Web Science