LGI2P/Ecole des mines d’Alès
6, avenue de Clavières
F-30319 Alès Cedex
Please note that all email adresses have to be completed by @mines-ales.fr.
Professor, Head of LGI2P and KID team leader
Ph.D. and H.D.R from the National Polytechnic Institute, France, both in control theory. He was a research engineer at the French Atomic Energy Commission from 1991 to 2005. He is currently a Professor at the Ecole des Mines d’Alès, Head of the LGI2P research center in Alès, France. His research interests include the application of artificial intelligence techniques to model-based diagnosis and supervision, industrial performance improvement, multicriteria and fuzzy approaches to decision-making.
She holds a Ph.D. and a H.D.R. in computer science from the University of Montpellier (France). Her research focuses on technical assistance in indexation, navigation and information retrieval using semantic supports (ontologies) and visualization. She has published research papers on semantic distance, conceptual maps, ontological and FCA based indexing and visual navigation.
Assistant professor, habilitated
PhD in “Automatics and computer systems” and H.D.R. in computer science from University of Montpellier and expertise in Data Mining methods for biomedical data and signals classification and clustering.
He holds a Ph.D. in Computer Science from University Joseph Fourier, Grenoble (France), dealing with geometric properties of graphs. His research focuses on mathematical models for optimization, image treatement, evolutionary algorithms and convexity in discrete structures such as graphs. He has published research papers in differential evolution and matching on vision. He applies optimization models to blending in the petroleum industry.
Gildas Tagny Ngompe
Started on December, the 15th 2015, this work focuses first on designing and applying efficient NLP and text mining methods to extract information from a large corpus of court decisions in order to build a legal knowledge base (KB). The final phase leverages the KB to design some descriptive and predictive models that will enable an estimation of the chance of success of a claim in a court and a comprehensive insight on how judges make decisions.
This work started on October, the 1st 2015.
Her work focuses on source trustworthiness. This issue is very important in Truth-Discovery domain whose aim is to identify true information and source trustworthiness among a set of conflicting facts. Considering these two important quantities may help in knowledge base enrichment task.
This work started on January, the 5th 2015. It discusses a non-oriented approach based on Natural Language Processing and Knowledge Representation techniques to evaluate the odor quality.
People who where with us in the past
PhD in computer science since November 23, 2017
His research work focuses on the use of knowledge extraction using lexical analysis to enrich linked data bases. In particular he proposed a model to take into account uncertainty and imprecision within this process. Manuscript (in French) here.
PhD in computer science since November 4, 2015
His work focused on the use of knowledge structures for automatic indexing applications. Application fields include information retrieval, cluster labelling, indexing and recommendation. Manuscript online.
He holds a Ph.D. and a H.D.R. in Computer Science from the University of Montpellier (France). He has directed several PhD thesis in his research topics, such as adaptive multimedia, knowledge maps, information visualization, adaptive HMI, Semantic Web, agent models, Formal Concept Analysis, conceptual indexing. He has initiated and managed several research projects in Europe.