As Associate Director of Spatial Computing and Technology, 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.

Roles

• Fellows
• Instructors
• Leadership

Publications

• Local Clustering with Mean Teacher for Semi-supervised learning (2021)
• Perceptual metric learning for video anomaly detection (2021)
• Anomalous cluster detection in spatiotemporal meteorological fields (2019)
• Deformable Part Models for Complex Object Detection in Remote Sensing Imagery (2018)
• FUTURES-DPE: Towards Dynamic Provisioning and Execution of Geosimulations in HPC environments (2018)
• Machine Learning Approaches for Slum Detection Using Very High Resolution Satellite Images (2018)
• Real-Time Energy Audit of Built Environments: Simultaneous Localization and Thermal Mapping (2018)
• Hierarchical change detection framework for biomass monitoring (2017)
• High performance GPU computing based approaches for oil spill detection from multi-temporal remote sensing data (2017)
• Parallel processing over spatial-temporal datasets from geo, bio, climate and social science communities: A research roadmap (2017)

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