Phillip Ngo
Papers
2
Total Citations
46
H-Index
2
About
Phillip Ngo’s research lies at the intersection of marine robotics and environmental monitoring, with a focus on enabling autonomous surface vehicles to navigate and operate reliably in dynamic ocean environments. His major contributions center on modeling and predicting the performance of Wave Glider autonomous surface vehicles, which harness wave energy for propulsion rather than traditional engines. Ngo developed regression models that use wave model data to forecast vehicle speed—a critical capability for path planning in persistent monitoring missions that can span months. By linking environmental conditions to robotic mobility, his work directly addresses the challenge of positioning autonomous platforms to collect data from moving oceanic features. His most-cited paper, “Predicting the speed of a Wave Glider autonomous surface vehicle from wave model data” (2014), has accumulated 32 citations, while a related analysis from 2013 has garnered 14 citations. Together, these studies form a foundational toolkit for energy-efficient, long-duration ocean observation. Ngo’s research is particularly notable for advancing the practical deployment of marine robots in real-world scenarios, such as tracking currents or monitoring ecological events, where traditional propulsion would be impractical.
Research Focus
Key Achievements
Top Papers
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