Glaucia M. Fragoso

Norwegian University of Science and Technology

Papers

Total Citations

145

H-Index

About

Glaucia M. Fragoso is a leading researcher in the intersection of marine robotics and oceanography, with a primary focus on adaptive sampling strategies for understanding coastal ocean dynamics. Her major contributions center on developing information-driven robotic systems that can autonomously respond to complex, heterogeneous marine environments—particularly those influenced by currents, wind, bathymetry, and freshwater runoff. Fragoso’s pioneering work on robotic sampling of phytoplankton has revolutionized how scientists study spatiotemporal variation in coastal waters, enabling more efficient and targeted data collection in challenging environments. Her most cited paper, "Toward adaptive robotic sampling of phytoplankton in the coastal ocean" (2019, 90 citations), demonstrates the power of coupling autonomous vehicles with ocean models to resolve fine-scale biological and physical processes. Her follow-up work, "Information‐driven robotic sampling in the coastal ocean" (2018, 55 citations), further advances these methods by integrating real-time data with predictive models to optimize sampling efficiency. Fragoso’s research is critical for understanding mechanisms like upwelling and internal waves and their influence on primary production, making her a key figure in the push toward autonomous, adaptive ocean observation systems.