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Geographic Data Science Section

Develops sensor technologies and analytical methods, models, that collect, integrate, analyze, and derive knowledge and decision support value from spatiotemporal data.

  1. GeoAI — Develops novel mathematical and computer science capabilities for curating, fusing, analyzing, and visualizing data sets, artificial intelligence, uncertainty quantification, data validation, privacy preservation, and anonymization techniques. Develops data bias assessment, uncertainty quantification, assurance, and privacy preservation techniques.
  2. Remote Sensing — Develops algorithms for multimodal sensors and platforms, sensor characterization and modeling, spatial and spectral exploitation using photogrammetry, image science, and computational science approaches.
  3. Resilient Communications — Develops strategies for resilient, integrated communications for edge devices.
  4. Autonomous Systems — Develops remotely operated, autonomous ground and air systems by combining expertise in embedded systems, sensors, software, aviation systems, and mechanical engineering.


Senior R&D Staff and Section Head
David Lon Page