David Gross-Amblard

• Professeur des universités en Informatique / Full Professor – Computer Science
• Past Co-head of the DRUID team (2014-2020)
• Member of the BDA advisory board (french national conference on Databases)
• Past Co-head of the Research Master in Computer Sciences (M2 SIF, 2064-2020)

Current research interest

• IA for Open Education Ressources – Cominlabs CLARA (1/12/2021-31/12/2024)
• Crowdsourcing Management Systems, ANR HEADWORK (-31/3/2022)
• Machine-learning on graphs – ANR EPIQUE

Publications

• Read our collective ACM SIGMOD blog on crowdsourcing and the future of work
• In DBLP / In HAL / in Google Scholar

Current PhD Students

• Machine-learning on graphs
  • Gauthier Lyan (micro-learning for bus transportation systems), with Jean-Marc Jézéquel and Keolis, Rennes

Previous PhD Students

• Data Privacy & Security
  • Tompoariniaina Andriamilanto (authentification by browser fingerprinting), with Tristan Allard, Benoît Baudry and Gaëtan Le Guelvouit, B-Com
  • Joris Dugueperoux (privacy in crowdsourcing), with Tristan Allard
  • Anis Bkakria (Security policies for outsourced data)
  • Julien Lafaye (Database watermarking), with Michel Scholl
• Data Mining
  • Yann Dauxais (Chronicles Mining), with Thomas Guyet
• Crowdsourcing
  • Panagiotis Mavridis (Crowdsroucing Management Systems), with Zoltan Miklos
• Social network analytics
  • Damien Leprovost (semantic and temporal social network analytics), with Lylia Abrouk
  • Ian Jeantet (automatic analysis of the evolution of science – ANR EPIQUE), with Zoltan Miklos

Publications

• Read our collective ACM SIGMOD blog on crowdsourcing and the future of work
• In DBLP / In HAL / in Google Scholar

Previous interests

• Data Privacy – ANR CROWDGUARD
• Data Security Policies – Cominlabs POSEIDON
• Symbolic Musical Databases – ANR Neuma
• Database watermarking – ACI Tadorne

Teaching

• L3 Miage Bases de données avancées
  • FOAD1
• M1 Miage OLAP (bases de données multidimensionnelles, SAP business object) et NoSQL (Hadoop, Pig, Spark – streaming,SQL, Neo4j)
  • Lecture 1 (en)
• M2 informatique NoSQL (Hadoop, Pig, Spark – streaming,SQL, Neo4j)
• Prépa agreg Math-Info (bases de données)