Christophe Claramunt

Christophe Claramunt is a distinguished researcher affiliated with the Naval Academy Research Institute in Brest, France. His work spans interdisciplinary domains at the intersection of Geographic Information Systems (GIS), spatial data science, and human mobility analysis. He has pioneered hierarchical graph-based models for maritime and urban systems, semantic trajectory frameworks, and spatiotemporal approaches for urban soundscapes and shipping networks.

• Research Themes: GIS modeling, maritime transportation analytics, urban conflict analysis, semantic trajectories, geospatial data infrastructures
• Methodologies: Graph theory, machine learning, knowledge graphs, spatiotemporal databases, remote sensing
• Applications: Port network resilience, demining systems, tourist behavior analysis, cadastral digitization

His recent publications focus on graph neural networks for spatial analysis, knowledge-driven competitive intelligence, and maritime network cascading failures. Collaborative work includes contributions to global container shipping modeling and urban acoustic environments. While no formal academic rank is listed in the source data, his extensive publication record and leadership in interdisciplinary projects confirm his status as a full faculty researcher.