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Emmanuelle Anceaume

Emmanuelle Anceaume Directrice de recherche du CNRS
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Présentation

Emmanuelle Anceaume received her PhD in Computer Science from the University Paris-Orsay (Paris-XI) for my work on dependable systems. She spent a post-doctoral year at Cornell University (NY - USA) and worked with Sam Toueg on unreliable failure detectors. She is a CNRS researcher at IRISA-UMR6074 lab. Her current research group is the [INRIA](http://www.inria.fr/en/teams/cidre) / [IRISA](http://www.irisa.fr/recherche/rechAxes.html) CIDRE research team. She investigates dependability and security issues in large scale and dynamic systems. For the last few years, she has been working on data stream algorithms, privacy preserving reputation mechanisms, and consistency issues in large scale dynamic networks with sa deeper focus on blockchains.
Emmanuelle Anceaume received her PhD in Computer Science from the University Paris-Orsay (Paris-XI) for my work on dependable systems. She spent a post-doctoral year at Cornell University (NY - USA) and worked with Sam Toueg on unreliable failure detectors. She is a CNRS researcher at IRISA-UMR6074 lab. Her current research group is the [INRIA](http://www.inria.fr/en/teams/cidre) / [IRISA](http://www.irisa.fr/recherche/rechAxes.html) CIDRE research team. She investigates dependability and security issues in large scale and dynamic systems. For the last few years, she has been working on data stream algorithms, privacy preserving reputation mechanisms, and consistency issues in large scale dynamic networks with sa deeper focus on blockchains.

Domaines de recherche

Informatique [cs] Algorithme et structure de données [cs.DS]

Publications

jeremie-guiochet