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Guest Speaker: Wagner Meira Jr

Universidade Federal de Minas Gerais, Brazil
Tuesday, January 16, 2018, 4:00 pm

Wagner Meira Jr.
480 Dreese Labs
2015 Neil Avenue, Columbus, Ohio 43210

Characterizing, mining, and learning from social sensors

The Web and the social networks went much beyond being just technologies, becoming relevant sensors of the society beliefs, behaviors and trends. On the other hand, exploiting such sources of information for the sake of understanding societal phenomena, acquiring knowledge and making predictions continues to raise challenging and interesting CS problems. In this talk we outline some of these challenges, present methodologies and techniques developed to address them, and results achieved in areas such as health, information services, and news media, among others.

Bio: Wagner Meira Jr. obtained his PhD from the University of Rochester in 1997 and is Full Professor at the Computer Science Department at Universidade Federal de Minas Gerais, Brazil. He has published more than 200 papers in top venues and is co-author of the book Data Mining and Analysis - Fundamental Concepts and Algorithms published by Cambridge University Press in 2014. His research focuses on scalability and efficiency of large scale parallel and distributed systems, from massively parallel to Internet-based platforms, and on data mining algorithms, their parallelization, and application to areas such as information retrieval, cybersecurity, and e-governance.