Jacky Montmain

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.

Gérard Dray

Professor

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.

Sylvie Ranwez

Professor

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.

Sébastien Harispe

Associated lecturer

Stefan Janaqi

Lecturer

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.

Nicolas Sutton-Charani

Lecturer

Andon Tchechmedjiev

Lecturer

He holds a PhD in Computer Science from University Grenoble Alpes on aligning multilingual lexical resources with interlingual acceptions. His research interests cover computational lexical semantics, computational lexicography, (lexical) linked open data, knowledge representation (ontologies) and extraction, unsupervised machine learning and representation learning. He has published research papers in Word Sense Disambiguation, Multilingual lexical resource alignement, semantics annotation of clinical and medical text. One of his main application areas is in the biomedical domain.

François Trousset

Lecturer

Yu Du

PhD candidate

This research work will run from October, the 1st 2018 to Septembre, 30th 2021. It aims at supporting decision process using ontologies and machine learning techniques.

Gildas Tagny Ngompe

PhD candidate

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.

Valentina Beretta

PhD candidate

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.

Massissilia Medjkoune

PhD candidate

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.

Pierre-Antoine Jean

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.

Nicolas Fiorini

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.

Michel Crampes

Senior researcher

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.

Michel Plantié

Lecturer