David TÉLISSON

Associate Professor, Université Savoie Mont-Blanc

Contact

david.telisson –@– univ-smb.fr
Phone: +33 (0)4 79 75 86 69
Building 8C – Office 251
73376 Le Bourget-du-Lac, France

Research Interests and Activities

This research activity is fully aligned with the objectives of the ReGarD theme, which focuses on enhancing the capacity of computational systems to interpret, structure, and exploit human-produced data. The overarching goal is to design explainable and context-aware methodological frameworks capable of addressing heterogeneous and complex information environments.

Research Axes

• Extraction, preprocessing, and transformation of data originating from semi-structured documents;

• Application of large language models for information extraction, semantic enrichment, and structural normalization of textual content;

• Multimodal data fusion leveraging heterogeneous inputs such as text, images, and graph-based knowledge representations;

• Design of intelligent information systems integrating symbolic representations (knowledge graphs, ontologies) with deep learning paradigms (neural architectures, large language models) within hybrid computational frameworks.

Scientific Contributions

• Development and evaluation of machine-learning-based approaches for anomaly detection in textual corpora;

• Analysis and implementation of hybrid architectures combining neural models, language models, and graph-structured knowledge to improve robustness, interpretability, and generalization.

The activity also includes involvement in the supervision of Master-level research projects addressing data representation challenges and explainable multimodal fusion methodologies.

Head of the Computer Science Department at the UFR Sciences et Montagne
Director of the Master’s Program in Computer Science at Université Savoie Mont Blanc

Teaching

Distributed Systems
Ambient Intelligence
Algorithms and Programming

Education

PhD, 2006, INSA Lyon
DEA (Master of Advanced Studies), 2002, Université de Savoie