Production year

Researcher identifiers

Number of documents


Gauthier Picard, Full Professor

Gauthier Picard received a Ph.D. in Computer Science from the University of Toulouse in 2004, and the Habilitation degree in Computer Science from the University of Saint-Etienne in 2014. He is currently full professor in Computer Science at MINES Saint-Etienne and a researcher at Laboratoire Hubert Curien UMR CNRS 5516. His research focuses on cooperation and adaptation in multi-agent systems and distributed optimization with applications to smart grids, aircraft design, ambient intelligence, and intelligent transport.

More details at

Antoine Zimmermann   

Journal articles2 documents

  • Syed Gillani, Antoine Zimmermann, Gauthier Picard, Frederique Laforest. A query language for semantic complex event processing: Syntax, semantics and implementation. Semantic Web – Interoperability, Usability, Applicability, IOS Press, 2019, 10 (1), pp.53-93. ⟨10.3233/SW-180313⟩. ⟨hal-01861610⟩
  • Alexandru Sorici, Gauthier Picard, Olivier Boissier, Antoine Zimmermann, Adina Florea. CONSERT: Applying semantic web technologies to context modeling in ambient intelligence. Computers and Electrical Engineering, Elsevier, 2015, 44, pp.280-306. ⟨10.1016/j.compeleceng.2015.03.012⟩. ⟨emse-01139804⟩

Conference papers3 documents

  • Aline Belloni, Alain Berger, Olivier Boissier, Grégory Bonnet, Gauvain Bourgne, et al.. Dealing With Ethical Conflicts In Autonomous Agents And Multi-Agent Systems. 1st International Workshop on Artificial Intelligence and Ethics at the 29th AAAI Conference on Artificial Intelligence, Jan 2015, Austin, United States. ⟨emse-01099705⟩
  • Syed Gillani, Gauthier Picard, Frédérique Laforest, Antoine Zimmermann. Towards Efficient Semantically Enriched Complex Event Processing and Pattern Matching. OrdRing 2014 - 3rd International Workshop on Ordering and Reasoning, Oct 2014, Trentino, Italy. 8p. ⟨emse-01087640⟩
  • Alexandru Sorici, Olivier Boissier, Gauthier Picard, Antoine Zimmermann. Applying semantic web technologies to context modeling in ambient intelligence. 3rd International Workshop on Pervasive and Context-Aware Middleware (PerCAM 2013) in conjunction with Fourth International Joint Conference on Ambient Intelligence (AmI 2013), Dec 2013, Dublin, Ireland. pp 217-229, ⟨10.1007/978-3-319-04406-4_22⟩. ⟨emse-00868038⟩