Esther Pacitti - Home Page
I'am professor of computer science at University of Montpellier 2 since 2009, pursuing research in distributed and scientific data management in different contexts. Previously, she was an assistant professor at University of Nantes (2002-2009) and a member of Atlas INRIA team. I obtained my “Habilitation à Diriger les Recherches” (HDR) degree in 2008 on the topic of data replication on different contexts (data warehouses, clusters and peer-to-peer systems). Since 2004 I'am serving as program committee member of major international conferences (VLDB, SIGMOD, CIKM, etc) and has edited and co-authored several books. She has also published a significant amount of technical papers and journal papers in well known international conferences and journals.
HDR (University of Nantes) 2008, Ph.D (PUC-Rio and Inria) 1998
Laboratoire d'Informatique, Robotique et Micro-Eletronique de Montpellier (Lirmm)
Campus St Priest - BAT 5, Office 02/243
860 rue de St Priest
34095 Montpellier cedex 5
Tel: 04 67 14 97 27
I'am co-head of the EPI Zenith and my research interests are related to distributed data management in different contexts as explained below.
My research activities are focused on distributed data management (data replication, query processing, etc). Since 2009 I have been investigating new search and recommendation techniques for distributed data management. More precisely, I investigate new recommendation methods and distributed algorithms to deploy search and recommendation over different types distributed architectures. The results of this research may be applied to to web and scientific data. For instance, in Pl@ntNet project, recommendation methods based on diversity are very useful for plant identification. This research activity is supported by CNRS Mastodons Project and Numev PIA.
I'am also involved in data-intensive scientific workflows over geographically distributed clouds. The problem here is to fragment a data intensive scientific workflow taking into account data transfer and load balance. This joint project between the Kerdata and Zenith teams is funded by Microsoft in the context of the Joint Inria – Microsoft Research Centre. The project addresses the problem of advanced data storage and processing for supporting scientific workflows in the cloud. The goal is to design and implement a framework for the efficient processing of scientific workflows in clouds. Our approach will leverage the cloud infrastructure capabilities for handling and processing large data volumes.
Please visit my DBPL PAGE. If you want any particular paper please contact me
I'am responsable for the following courses:
-Databases (Relational Algebra, SQL, E-R Model, Transaction Management, Query Processing and Optimization, etc)
-Distributed Databases (Conception, Fragmentation, Distributed query and transaction processing, Parallelism, MongoDB, etc)
-Big Data Management (Data Management in the Cloud, Map Reduce, Recommandation, Gragh Databases) , etc
I also teach in the master of computer science, and I'am responsible of the cours:
- Large Scale Data Management
Besides my teaching activities, I also supervise
- Engineers students in industrials projects and training
-Master and Phd Students
Since 2009, the most relevant projects I've been involved are the following:
CNRS Mastodons: (2011 - today)
EDF: Privacy Preserving Data Mining in P2P Networks (2013 -2014)
BigDataNet: (2013 - 2015)
Music, Inria-Faperj: (2014 - 2016)
ANR Verso DataRing: (2009-2011)
Last update on 28/09/2015