Sansar Raj Meena
National Institute of Oceanography and Applied Geophysics, Università di Padova, University of Salzburg, Universiteit Twente, University of Delhi
0000-0001-6175-6491
About
I am a researcher and educator in the field of geoinformatics, specializing in the intersection of artificial intelligence, remote sensing, and natural hazard assessment.
Currently, I am a Researcher at OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale) in Trieste, where I serve as the Principal Investigator for the NATURA project. This research is funded by the prestigious Italian Science Fund (FIS), which serves as the Italian equivalent to the highly competitive European Research Council (ERC) grants. Through this work, I investigate the complex natural and anthropogenic drivers of landslide risk to improve risk modeling in fragile mountain ecosystems.
My career is driven by a commitment to using GIS, satellite imagery, and machine learning to address urgent environmental and social challenges. Prior to OGS, I conducted research at the University of Padua and served as a visiting scientist at Boston University.
Academic Background:
PhD in Applied Geoinformatics (University of Salzburg, Austria): Developed an advanced framework for landslide mapping utilizing deep learning and Earth observation data.
MSc in Geoinformation Science and Earth Observation (ITC, University of Twente, Netherlands): Specialized in natural hazard risk and engineering.
Honors & Scientific Contribution: My research impact has been recognized through several prestigious awards, including the Taylor & Francis Remote Sensing Letters Award, the National Overseas Scholarship (Government of India), and the University of Twente-ITC Excellence Fellowship. I am also an active, dedicated member of the scientific community, serving as a review editor and editorial board member for several leading geosciences journals.
Specialties: Deep Learning, GIS, Remote Sensing, Landslide Risk Modeling, Natural Hazards, Earth Observation.
Employment
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National Institute of Oceanography and Applied Geophysics Scientist2026 - Present
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Università di Padova Ricercatori a tempo determinato2022 - 2025
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Università di Padova Assegnisti2021 - 2022
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Universiteit Twente Researcher2020 - 2023
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University of Twente? - 2023
Education
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University of Salzburg Doctorate2018 - 2021
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Universiteit Twente Msc Geo information science and earth observation2015 - 2017
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University of Delhi B.A. Geography (Honours)2012 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (85)
- Integrating Geomorphology-Based Terrain Segmentation with Machine Learning for Landslide Susceptibility Assessment in the Darjeeling-Sikkim Himalaya, India Save
- A Physics-Informed Machine Learning Model for Displacement Forecasting of Deep-Seated Landslides Save
- Preconditioning Mechanisms and Triggering Processes of Rainfall-Induced Clustered Landslides Controlled by the Coupling Between Landslide-Prone Strata and Micro-Geomorphology Save
- FMLD: A Vertical Federated Learning Framework for Privacy‐Preserving Multimodal Landslide Detection Save
- Global landslide mapping using U-Net architecture with diverse backbones across multi-regional and multi-sensor remote sensing datasets Save
- Masked Autoencoding (MAE) Outperforms Joint-Embedding Prediction (JEPA) for Frozen-Probe Very-High-Resolution Landslide Segmentation Save
- The Role of Artificial Intelligence in Modeling and Predicting Ground Deformation Using Advanced InSAR Data Save
- Towards automatic delineation of landslide source and runout Save
- Optimized YOLOv8 with multi-level attention for satellite image-based landslide detection Save
- Mamba for Landslide Detection: A Lightweight Model for Mapping Landslides With Very High-Resolution Images Save