Brice CHARDIN
Brice CHARDIN
Associate Professor

email: brice.chardin@ensma.fr
tel: +33 5 49 49 80 62
www: /~bchardin
school: ISAE - ENSMA
address: ISAE-ENSMA, 1 avenue Clément Ader BP 40109, 86961 Chasseneuil - France
team: Data Engineering
Lecture Activity

1st year:

  • Computer science (introduction to programming in Ada)
  • Introduction to numerical methods (scientific computing in Fortran)
  • Data exploitation

2nd year:

  • Project in avionics (drone simulation with ardupilot)

3rd year:

  • Advanced design project
Research Activity

I am an associate professor at ISAE-ENSMA and a member of the Data and Model Engineering team at LIAS since 2013.

Energy data management and forecasting

My PhD thesis focused on distributed data management solutions on flash memories to handle sensor data produced by power plants at EDF, a worldwide leading energy company. In this project, we developed a specialized NoSQL system, named Chronos, distributed under an open-source license, along with a benchmark designed to evaluate DBMSs in the context of industrial process data management.

Since 2018, I collaborated with two local industrial partners: SRD (an electricity distribution operator) and Nexeya (an energy storage solutions manufacturer) to perform predictive analysis of energy consumption and production.

Pattern mining

In 2012-2013, I held a postdoctoral research position at LIRIS on pattern mining within the ANR DAG project, in wich we designed a Rule Query Language (RQL). RQL is a SQL-like pattern mining language that extends and generalizes functional dependencies to new and unexpected rules. A web-based prototype has been made available for research and educational purposes.

Query relaxation

Since 2016, I have been working on query relaxation on top of RDF knowledge bases to answer why-empty, why-so-many and why-so-few questions on SPARQL queries.

Publications
(17)
International Journals
(3)
Ibrahim DELLAL, Stéphane JEAN, Allel HADJALI, Brice CHARDIN, Mickael BARON, Query Answering over Uncertain RDF Knowledge Bases: Explain and Obviate Unsuccessful Query Results, Knowledge and Information Systems (KAIS 2019), 2019https://link.springer.com/epdf/10.1007/s10115-019-01332-7?author_access_token=lExN4OsYXX-bNMLnRnCUbve4RwlQNchNByi7wbcMAY57PVGTz5Aw-qHPNWgKlNE5k9cPkGRnrTvdPWit7ryoocRuzGZavIr7VGMaufJ_d8pQh4Jxvqf6J_xGdHR-oeEijByg5yCMRmxKQkMt6su7cA%3D%3Dhttps://link.springer.com/epdf/10.1007/s10115-019-01332-7?author_access_token=lExN4OsYXX-bNMLnRnCUbve4RwlQNchNByi7wbcMAY57PVGTz5Aw-qHPNWgKlNE5k9cPkGRnrTvdPWit7ryoocRuzGZavIr7VGMaufJ_d8pQh4Jxvqf6J_xGdHR-oeEijByg5yCMRmxKQkMt6su7cA%3D%3D
Brice CHARDIN, Emmanuel COQUERY, Marie PAILLOUX, Jean-Marc PETIT, RQL: A Query Language for Rule Discovery in Databases, Theoretical Computer Science (TCS), vol. 658, Part B, 2017, pp. 357-374https://hal.archives-ouvertes.fr/hal-01395083https://hal.archives-ouvertes.fr/hal-01395083
Brice CHARDIN, Jean-Marc LACOMBE, Jean-Marc PETIT, Chronos: a NoSQL system on flash memory for industrial process data, Distributed and Parallel Databases (DAPD), vol. 34, n. 3, 2016, pp. 293-31917910/chronos.pdf
National Journals
(1)
Ibrahim DELLAL, Stéphane JEAN, Allel HADJALI, Brice CHARDIN, Mickael BARON, Traitement coopératif des requêtes RDF dans le contexte des bases de connaissances incertaines, Document numerique (RevDOCNUM2018), vol. 21, 2018, pp. 9--3531635/Revue_DOCNUM_2018.pdf
International Conferences
(7)
Jennie ANDERSEN, Brice CHARDIN, Mohamed TRIBAK, Clustering to the Fewest Clusters Under Intra-Cluster Dissimilarity Constraints, The 33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2021), 2021
Chourouk BELHEOUANE, Stéphane JEAN, Brice CHARDIN, Allel HADJALI, Hamid Azzoune, Borders of Theories for Cooperative Querying over Uncertain Databases, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018), 201829515/FUZZIEEE2018.pdf
Ibrahim DELLAL, Stéphane JEAN, Allel HADJALI, Brice CHARDIN, Mickael BARON, On Addressing the Empty Answer Problem in Uncertain Knowledge Bases, Database and Expert Systems Applications (DEXA 2017), vol. 10438, LNCS, edited by Springer, 2017, pp. 120-12927034/DEXA_SHORT_2017.pdf
Brice CHARDIN, Emmanuel COQUERY, Marie PAILLOUX, Jean-Marc PETIT, RQL: An SQL-like Query Language for Discovering Meaningful Rules (Demo Paper), IEEE International Conference on Data Mining (ICDM 2014), 2014, pp. 1203-120616923/demo.pdf
Brice CHARDIN, Emmanuel COQUERY, Benjamin GOURIOU, Marie PAILLOUX, Jean-Marc PETIT, Query Rewriting for Rule Mining in Databases, Languages for Data Mining and Machine Learning, in conjunction with ECML/PKDD (LML 2013), 2013, pp. 35-4913408/lml2013_query_rewriting.pdf
Brice CHARDIN, Jean-Marc LACOMBE, Jean-Marc PETIT, Data Historians in the Data Management Landscape, Technology Conference on Performance Evaluation & Benchmarking, in conjunction with VLDB (TPCTC 2012), LNCS, edited by Springer, 2012, pp. 124-13913446/tpctc2012.pdf
Brice CHARDIN, Olivier PASTEUR, Jean-Marc PETIT, An FTL-agnostic Layer to Improve Random Write on Flash Memory, Workshop on Flash-Based Database Systems, in conjunction with DASFAA (FlashDB 2011), LNCS, edited by Springer, 2011, pp. 214-22513477/flashdb2011.pdf
National Conferences
(5)
Louise PARKIN, Ibrahim DELLAL, Brice CHARDIN, Stéphane JEAN, Allel HADJALI, A Cooperative Approach to Address the Overabundant Answers Problem in RDF Knowledge Bases, 36ème Conférence sur la Gestion de Données – Principes, Technologies et Applications (BDA 2020), 2020
Ibrahim DELLAL, Stéphane JEAN, Allel HADJALI, Brice CHARDIN, Mickael BARON, Traitement coopératif des requêtes RDF dans le contexte des bases de connaissances incertaines, 35e édition INFormatique des ORganisations et Systèmes d’Information et de Décision (INFORSID 2017), 2017, pp. 277-29226457/INFORSID_2018.pdf
Brice CHARDIN, Emmanuel COQUERY, Marie PAILLOUX, Jean-Marc PETIT, RQL: un langage "à la SQL" pour découvrir des règles à partir des données (démonstration), Bases de Données Avancées (BDA 2014), 201415891/demo.pdf
Brice CHARDIN, Jean-Marc LACOMBE, Jean-Marc PETIT, Positionnement des progiciels d'historisation parmi les solutions de gestion de données, Colloque sur l'Optimisation et les Systèmes d'Information (COSI 2012), 2012, pp. 228-23913467/cosi2012.pdf
Brice CHARDIN, Olivier PASTEUR, Jean-Marc PETIT, Une couche indépendante des FTL pour améliorer les performances des écritures aléatoires sur mémoires flash, 26èmes journées Bases de Données Avancées (BDA 2010), 2010, pp. 1-1613485/bda2010.pdf
Thesis and HDR
(1)
Brice CHARDIN, SGBD open-source pour historisation de données et impact des mémoires flash, Thesis, INSA de Lyon, december, 201113491/these-chardin.pdf