Talel Abdessalem

Telecom ParisTech

Computer Science & Networks Deptartment

46, rue Barrrault - 75013 Paris - FRANCE


Candidature à la direction du LTCI - Profession de foi

Brief Bio

I am is currently a Professor at Telecom ParisTech, holder of the Big Data and Market Insights Chair and head of the IC2 group. The group is composed of ten senior researchers and a dozen of postdoc and PhD students, with strong expertise in the foundations of database systems, web data management, human-computer interaction and cognitive science. I am the author and co-author of more than fifty technical publications in international conferences (ICDE, VLDB, EDBT, CIKM, etc.), national conferences (BDA and EGC), and journals and book chapters. My main research achievements are on XQuery optimization (CIKM’08), information extraction from the structured web (VLDB’10, ICDE’12), and social networks (DBSocial’11, WWW’11, CIKM’12, RSWeb’13). My current research interests are in large-scale data management and mining, recommender systems and predictive analytics, web information extraction, large graphs and social networks analysis. I participated to several national and European research projects (IP/FP7, ANR, FEDER, ...). I led research actions on social networks in the ANR-ISICIL project (2009-2012), on version control for semi-structured documents in the ANR-LPOD project (2009-2011) and in the FEDER-DROD project (2011-2013). I supervised and co-supervised about ten PhD. I received an Habilitation degree (HDR) from the University Pierre & Marie Curie, a Ph.D. in Computer Science from the University Paris-Dauphine and a Master degree in IT from the University of Paris II (Institut IMAC). I spent two years as an assistant professor at the University of Paris-Dauphine, before joining Telecom ParisTech (formerly ENST) in 1998.

Short CV (2016), Detailed CV (2014)

Research interests

  • Large-scale data management and mining
  • Recommender systems and predictive analytics
  • Large graphs and social networks
  • Structured Web, information extraction, entity resolution
  • Uncertain data and crowdsourced data


Ph.D. students