About the Authors
Aris Anagnostopoulos
Aris Anagnostopoulos
Assistant Professor
Department of Computer, Control, and Management Engineering
Sapienza University of Rome, Italy
Aris Anagnostopoulos is an assistant professor at the Department of Computer, Control, and Management Engineering of the Sapienza University of Rome, Italy. Before joining the department he was a postdoctoral fellow at the Yahoo! Research labs in Santa Clara, CA. He graduated in 2000 in computer engineering and informatics from the University of Patras, Greece and in 2006 he obtained a Ph.D. in computer science from Brown University in the area of analysis of stochastic processes in computer science, under the supervision of Eli Upfal. His research interests lie in the broad areas of algorithms and probabilistic analysis, with emphasis on data-mining, web-mining, and social-network applications.
Anirban Dasgupta
Anirban Dasgupta
Sunnyvale, CA
Anirban Dasgupta did his undergraduate studies at the Computer Science department of IIT Kharagpur, and joined the Cornell CS department as a graduate student in 2000. Anirban finished his Ph.D. in 2006 under the supervision of John Hopcroft, having worked on spectral methods for learning mixtures of distributions. Since then, Anirban has been employed as a scientist at Yahoo! Research. His research interests span linear algebraic techniques for information retrieval, algorithmic game theory, modeling of and algorithms for social networks, and the design and analysis of randomized and approximation algorithms in general.
Ravi Kumar
Ravi Kumar
Mountain View, CA
Ravi Kumar has been a senior staff research scientist at Google since June 2012. Prior to this, he was a research staff member at the IBM Almaden Research Center and a principal research scientist at Yahoo! Research. He obtained his Ph.D. in Computer Science from Cornell University in 1998, under the guidance of Ronitt Rubinfeld; his thesis topic was on program checking. His primary interests are web and data mining, social networks, algorithms for large data sets, and theory of computation.