Bio

Raju develops geospatial analytics to address research challenges in national security, geospatial intelligence, natural resources, climate change, location-based services and human terrain mapping. His interests include developing innovative and computationally efficient algorithms, high-performance computing and artificial intelligence.

Publications

• A Two-Stream CNN Framework for Spatiotemporally Resolved $$NO_2$$ Estimates Using TEMPO and Sentinel-2 Satellite Data , Lecture notes in computer science (2026)
• A new environmental-based tool to support forest breeders in selecting species adapted to current and near-term climate conditions , Research Square (2026)
• A new environmental-based tool to support forest breeders in selecting species adapted to current and near-term climate conditions , Tree Genetics & Genomes (2026)
• Evaluating Geospatial Foundational Models for Cloud Segmentation: A Comparative Study of Performance, Calibration, and Representations , Research Square (2026)
• Fidelity-Diversity-Consistency (FDC): Data Pruning for Remote Sensing Change Detection , arXiv (Cornell University) (2026)
• GRAG: Generic Response-Augmented Generation Framework for Personalized Conversational Systems , arXiv (Cornell University) (2026)
• Integrating Environmental Covariates and Growth Data to Optimize Eucalyptus Clonal Allocation Across a Plantation Landbase , SSRN Electronic Journal (2026)
• Integrating environmental covariates and growth data to optimize Eucalyptus clonal allocation across a plantation landbase , Forest Ecology and Management (2026)
• Leveraging Latent Visual Reasoning in Silence , arXiv (Cornell University) (2026)
• Reproducible multiscale fine-resolution frost hazard mapping for forestry and agriculture across five Brazilian states , SSRN Electronic Journal (2026)