Ranga Vatsavai
Bio
Raju is a Chancellor’s Faculty Excellence Program Cluster Associate Professor in Geospatial Analytics in the Department of Computer Science. As the Center for Geospatial Analytic’s Associate Director of Spatial Computing & Technology, Raju plays a leadership role in our strategic vision for spatial computing research. He works at the intersection of big data management, data analytics, and high performance computing with applications in national security, geospatial intelligence, natural resources, climate change, location-based services, and human terrain mapping. Raju was previously the lead data scientist for the computational sciences and engineering division of the Oak Ridge National Laboratory (ORNL). He holds MS and PhD degrees in computer science from the University of Minnesota and is coming to NC State with more than 20 years of research and development experience in large-scale spatiotemporal data management and geographic knowledge discovery. A leader in the field, Raju is passionate about understanding the world through (high-) resolution, dimensional, and temporal pixels by developing innovative and computationally efficient algorithms.
Publications
- Deep Learning Based Forest Burned Area Detection , (2025)
- Foundation Models for Semantic Segmentation of Thick/Thin Clouds and Cloud-shadows: A Comparative Study , (2025)
- Toward a Multimodal Fusion Framework For Polar Sea Ice Classification using Image and Point Cloud Satellite Datasets , (2025)
- A Deep Learning Based Cloud Imputation Framework , 2024 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS, ICDMW (2024)
- Geospatial Foundation Models: Recent Advances and Applications , PROCEEDINGS OF THE 12TH ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON ANALYTICS FOR BIG GEOSPATIAL DATA, BIGSPATIAL 2024 (2024)
- Multi-spectral Gradient Residual Network for Haze Removal in Multi-sensor Remote Sensing Imagery , MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES-APPLIED DATA SCIENCE TRACK, PT X, ECML PKDD 2024 (2024)
- Cloud Imputation for Multi-sensor Remote Sensing Imagery with Style Transfer , MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: APPLIED DATA SCIENCE AND DEMO TRACK, ECML PKDD 2023, PT VII (2023)
- Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent , 2023 23RD IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS, ICDMW 2023 (2023)
- Harmonization-guided deep residual network for imputing under clouds with multi-sensor satellite imagery , PROCEEDINGS OF 2023 18TH INTERNATIONAL SYMPOSIUM ON SPATIAL AND TEMPORAL DATA, SSTD 2023 (2023)
- NOVEL DEEP LEARNING FRAMEWORK FOR IMPUTING HOLES IN ORTHORECTIFIED VHR IMAGES , IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (2023)