DDLC Seminar: Éva Tardos (Cornell CS)

Data Driven Learning and Control seminar series is organized by the Information and Decision Science Lab at Cornell University and aims to explore the latest advancements and interdisciplinary approaches to data-driven learning and control systems.

Watch on YouTube Live

Bio:
Éva Tardos received her Dipl.Math. in 1981, and her Ph.D. 1984 from Eötvös University, Budapest, Hungary. She joined Cornell in 1989 and was Chair of the Department of Computer Science 2006-2010. She has been elected to the National Academy of Engineering, National Academy of Sciences, and the American Academy of Arts and Sciences, is an external member of the Hungarian Academy of Sciences and is the recipient of a number of fellowships and awards including the IEEE John von Neumann Medal, Packard Fellowship, the Gödel Prize, Dantzig Prize, and the Fulkerson Prize. She was editor editor-in-Chief of SIAM Journal of Computing 2004-2009 and is currently editor-in-Chief of the Journal of the ACM, and editor of some other journals including the Theory of Computing, and Combinatorica.

Tardos’s research interest is algorithms and algorithmic game theory, an area concerned with designing and analyzing systems and algorithms for selfish users. Her research focuses on algorithms and games on networks. She is most known for her work on network-flow algorithms, approximation algorithms, and quantifying the efficiency of selfish routing.