CNRS


Emmanuelle Photo © Sébastien Tixeuil

Emmanuelle Anceaume

Senior researcher scientist (directrice de recherche) of CNRS at the UMR 6074/IRISA.
CNRS is the French national research agency.




IRISA, Campus de Beaulieu                                                                 
35042 Rennes Cedex
RENNES France
phone: +33 02 99 84 75 96
fax: +33 02 99 84 71 71
email:emmanuelle.anceaume@irisa.fr






Teaching

MAD : Models and Algorithms for Distributed systems -
Master in Computer Science, 2nd year

  Lesson 1: Introduction to distributed abstractions
  Lesson 2: Solving consensus in synchronous enviroments
  Lesson 3: Impossibility result: the FLP proof
  Lesson 4: Algorithms for shared memory
  Lesson 5: Construction of shared registers


News for 2024

News for 2023

News for 2022

News for 2021


News for 2020:


Most of my papers are on the Hal archive (complete list below)


Talks on blockchains


Interviews - Working group on blockchains







PhD students

 

I received my Phd degree in Computer Science from the University Paris-Orsay (Paris-XI) for my work on dependable systems. I spent a post-doctoral year at Cornell University (NY - USA) and worked with Sam Toueg  on unreliable failure detectors. I spent a great year there ! I am senior researcher scientist of CNRS at IRISA-UMR6074 lab. My current research group is the INRIA/IRISA CIDRE research team. I investigate dependability and security issues in large scale and dynamic systems. For the last few years, I have been working on data stream algorithms, reputation mechanisms, dependability issues in peer-to-peer systems, and more recently on blockchain technologies.




Students

I am currently looking for post-docs and Phd Students that would be interested in investigating

 

Publications since 2002 

 





Committees


2022
2021
2020
2019
2018

2017
2016

2015

and I have acted as a program committee member of Co-organization with Fabiola Greve of the WeeP workshop, Workshop on Dependability and Security in P2P, 2009, Brazil.


Current and Past R&D projects