Yajing YAN

Yajing YAN is a Lecturer (Habilitation à Diriger des Recherches) at Université Savoie Mont Blanc, affiliated with the LISTIC laboratory. She specializes in remote sensing, geophysics, and data assimilation with particular focus on Earth deformation monitoring and natural hazard prediction. Her research integrates multi-temporal SAR interferometry, statistical methods, and machine learning to analyze displacement data for applications in volcanology, glaciology, and mountain environment monitoring.

Education and Professional Path: PhD in Remote Sensing (2008-2011, LISTIC), followed by post-doctoral positions at the University of Liège (2012-2014) and University of Rennes 1 (2012). Since 2014, she has held her current position at Université Savoie Mont Blanc.

Research Themes: Multi-temporal SAR interferometry, data fusion/assimilation, statistical methods, machine learning applications in geoscience. Active in projects like CNES MagmaTrack, ANR REPED-SARIX, and MIAI, focusing on volcanic deformation, glacier dynamics, and environmental imagery analysis.

Teaching: Polytech Annecy-Chambéry, covering algorithmic, databases, embedded systems, signal/image processing, and Problem-Based Learning (PBL) in Environmental Imagery.

Leadership Roles: Member of CNU 61, responsible for the 'Systèmes Numériques et Instrumentation' specialty, and organizes conferences on statistical learning and télédétection. Co-editor of 'Inversion & Assimilation de données de télédétection' and leads the 'Télédétection & IA' initiative under GdR ISIS.