Raju Vatsavai
Associate Professor
Center for Geospatial Analytics
Engineering Building II (EB2) 2254
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
- 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)