IOHK Spotlight: Prof. Elias Koutsoupias on Advancing Cardano’s Game Theory 🧠

Developing Cardano is no small feat. There is no other project that has ever been built to these parameters, combining peer reviewed cryptographic research with an implementation in highly secure Haskell code. This is not the copy and paste code seen in so many other blockchains. Instead, Cardano was designed with input from a large global team including leading experts and professors in the fields of computer programming languages, network design and cryptography. We are extremely proud of Cardano, which required a months-long meticulous and painstaking development process by our talented engineers.

https://iohk.io/team/elias-koutsoupias/

Elias Koutsoupias is a professor of computer science at the University of Oxford. His research interests include algorithmic aspects of game theory, economics and networks, online algorithms, decision-making under uncertainty, design and analysis of algorithms, computational complexity. He received the Gödel Prize of theoretical computer science in 2012 for his work on the price of anarchy, in reference to laying the foundations of algorithmic game theory. He is also the recipient of the ERC Advanced Grant “Algorithms, Games, Mechanisms, and the Price of Anarchy”.

He previously held faculty positions at the University of California, Los Angeles (UCLA) and the University of Athens. He studied at the National Technical University of Athens (B.S. in electrical engineering) and the University of California, San Diego (Ph.D. in computer science).

http://www.cs.ox.ac.uk/people/elias.koutsoupias/Personal/

Selected Publications

Worst−case equilibria

Elias Koutsoupias and Christos H. Papadimitriou

In Computer Science Review. Vol. 3. No. 2. Pages 65−69. 2009.

Details about Worst−case equilibria | BibTeX data for Worst−case equilibria

The k−server problem

Elias Koutsoupias
In Computer Science Review. Vol. 3. No. 2. Pages 105−118. 2009.

Details about The k−server problem | BibTeX data for The k−server problem

Activities
Online Algorithms, Foundational Issues in Computational Learning, Algorithms At Large, Algorithmic Game Theory and Computational Economics

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