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Rahul Ramachandran
NASA Marshall Space Flight CenterMeeting roles in:
Deforestation Attribution using the Prithvi EO Foundation Model
GELOS: A Benchmark Dataset for Geospatial Exploration of Latent Observation Space
Downstream Science Applications and Benchmark Development for Lunar Science Foundation Models
AI Foundation Models for Observational and Gridded Data Across Scales
Opportunities and challenges in moderate resolution annual change detection with Prithvi 2.0
From Pixels to Predictions: Prithvi-EO-2.0 for Land, Disaster, and Ecosystem Intelligence
Evaluation of Prithvi EO-2.0 on High Resolution Damage Assessment
Context Injection via Vision-based Adapter for Finetuning Geospatial Foundation Model
Soma: Foundation Model for Multi-Modal Lunar Science using LRO Datasets
Intelligent and Interpretable Modeling of Solar EUV Irradiance: Towards Physics-Aware Space Weather Forecasting
Utilizing Large-Scale Heliophysics Foundation Models for Solar Flare Forecasting
Solar wind forecasting using HelioFM
From Orbits to Insights: A Foundation Model for Lunar Science
Surya: Foundation Model for Heliophysics using SDO Data
On the Promise and Challenges of Geospatial Foundation Models for Earth Science
SuryaBench: New Benchmark Dataset for Advancing Machine Learning Applications in Heliophysics and Space Weather
Operationalizing Prithvi EO 2.0 Foundation Model for Near Real-Time Earth Observation
Efficient Fine-Tuning of Atmospheric Foundation Models for High-Impact Weather Events
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