Raju Vatsavai

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

• Remote Sensing Based Crop Type Classification Via Deep Transfer Learning , IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2023)
• A Survey of Single-Scene Video Anomaly Detection , IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2022)
• Deep Residual Network with Multi-Image Attention for Imputing Under Clouds in Satellite Imagery , 2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) (2022)
• Multi-stream Deep Residual Network for Cloud Imputation Using Multi-resolution Remote Sensing Imagery , 2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA (2022)
• Persona-Based Conversational AI: State of the Art and Challenges , 2022 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS, ICDMW (2022)
• Real-Time Change Detection At the Edge , 2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA (2022)
• A Scalable System for Searching Large-scale Multi-sensor Remote Sensing Image Collections , 2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) (2021)
• Local Clustering with Mean Teacher for Semi-supervised learning , 2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) (2021)
• Perceptual metric learning for video anomaly detection , MACHINE VISION AND APPLICATIONS (2021)
• Anomalous cluster detection in spatiotemporal meteorological fields , STATISTICAL ANALYSIS AND DATA MINING (2019)