Elliot works in the area of algorithms and theoretical computer science, especially on issues at the intersection of Economics and Computation. His research interests include algorithms for large decentralized networks, including networks with strategic agents. Particular interests include: social choice and voting algorithms, network formation, networked markets and matching markets, algorithmic game theory, approximation algorithms, graph algorithms, and information propagation in both social and computer networks. Elliot has been a faculty member of the RPI CS department since 2006.
algorithmic game theory, algorithms and theoretical computer science, agents in networks, social choice and voting
The following is a selection of recent publications in Scopus. Elliot Anshelevich has 72 indexed publications in the subjects of Computer Science, Mathematics, Economics, and Econometrics and Finance.