Raju Vatsavai
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
Publications
- Parallel processing over spatial-temporal datasets from geo, bio, climate and social science communities: A research roadmap (2017)
- Hierarchical change detection framework for biomass monitoring (2017)
- Semi-supervised deep generative models for change detection in very high resolution imagery (2017)
- High performance GPU computing based approaches for oil spill detection from multi-temporal remote sensing data (2017)
- Semantics-enabled framework for spatial image information mining of linked earth observation data (2017)
- Scalable nearest neighbor based hierarchical change detection framework for crop monitoring (2016)
- A scalable probabilistic change detection algorithm for very high resolution (VHR) satellite imagery (2016)
- Monitoring land-cover changes: A machine-learning perspective (2016)
- pFUTURES: A parallel framework for cellular automaton based urban growth models (2016)
- Guest editorial: Big spatial data (2016)