Emilio Ferrara



PhD Applied Mathematics - Machine Learning
BSc/MSc Computer Science


Dr. Emilio Ferrara is Research Lead at the USC Information Sciences Institute and Research Assistant Professor of Computer Science at USC. 

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 80 articles on machine learning, network science, and social media, appeared in 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).

He is Guest Editor of two special issues on computational social sciences, published on EPJ Data Science and Future Internet. He serves as reviewer for top journals including various ACM and IEEE Transactions, Information Sciences, JASIST, Nature Scientific Reports, etc. He's member of the PC for conferences like ACM WWW, ICWSM, and SocInfo. Ferrara is Co-chair of various workshops recurring at ECCS, WWW, SocInfo, and WebScience; he was Local & Sponsor Chair of ACM Web Science 2014 and Publicity Co-chair of SocInfo 2014.

He is a top 0.5% Kaggle competitor and participated in various data science competitions.

For additional information visit: www.emilio.ferrara.name