Ingrid Ellingsen

Papers

Total Citations

145

H-Index

About

Ingrid Ellingsen is a leading researcher in autonomous ocean observation, specializing in adaptive robotic sampling of dynamic coastal environments. Her work bridges marine robotics and oceanography to address the fundamental challenge of resolving spatiotemporal variability in heterogeneous coastal waters—where currents, wind, bathymetry, and freshwater runoff create complex, patchy ecosystems. Ellingsen’s major contributions include pioneering field experiments that demonstrate how autonomous underwater vehicles can intelligently target phytoplankton blooms and oceanographic features in real time. Her highly cited 2019 paper (90 citations) presents methods for adaptive sampling of phytoplankton in the coastal ocean, while her 2018 work (55 citations) advances information-driven robotic sampling to capture critical processes like upwelling and internal waves. By coupling robotic platforms with ocean models, Ellingsen has developed efficient strategies that dramatically improve our ability to monitor primary production and ecosystem dynamics. Her research is instrumental for climate change studies and marine resource management, providing the technological foundation for next-generation ocean observing systems that can autonomously explore and understand our changing seas.