Raju Vatsavai
Associate Director of GeoAI and Computational Science Applications
Forecasting Landscape and Environmental Change, Big Data Analytics and High Performance Computing
Computer Science
Bio
As Associate Director of GeoAI and Computational Science Applications, Raju provides strategic leadership for the center’s research agenda, especially for spatial computing. 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
- Geospatial Foundation Models: Recent Advances and Applications , (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)
- Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring , 2023 IEEE 35TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, ICTAI (2023)
- Q-learning Based Simulation Tool for Studying Effectiveness of Dynamic Application of Fertilizer on Crop Productivity , (2023)
- Remote Sensing Based Crop Type Classification Via Deep Transfer Learning , IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2023)
- Deep Residual Network with Multi-Image Attention for Imputing Under Clouds in Satellite Imagery , 2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) (2022)