Eva Kanso
Papers
9
Total Citations
140
H-Index
7
About
Eva Kanso is a leading figure in bio-inspired fluid dynamics and active matter, whose work bridges the physics of locomotion and the engineering of autonomous underwater systems. Her research centers on how organisms—from falling coins to swimming fish and crawling sea stars—interact with fluid flows, and how these principles can be translated into robotic sensing and control. One of her most cited studies, “Holes stabilize freely falling coins” (52 citations), reveals a counterintuitive finding: a simple hole can dramatically alter the stability of a falling disc, offering insights into seed dispersal and unpowered flight. Kanso has also pioneered the use of flow sensing for underwater navigation; her 2018 paper on training bioinspired sensors to classify flows (33 citations) and her 2025 work on flow gradients for autonomous navigation (12 citations) demonstrate that local flow measurements alone can guide robots in GPS-denied environments. Her contributions extend to theoretical foundations, including a 2016 study on passive swimming in viscous oscillatory flows (14 citations) that challenges classical scallop theorem constraints. With over 140 total citations across her top papers, Kanso’s research is not only highly cited but also deeply interdisciplinary, informing both biological understanding and the next generation of soft, adaptive underwater vehicles.
Research Focus
Key Achievements
Top Papers
- 1Holes stabilize freely falling coins52 citations · 2016
- 2Training bioinspired sensors to classify flows33 citations · 2018
- 3Passive swimming in viscous oscillatory flows14 citations · 2016
- 4
- 5Cooperative transport in sea star locomotion8 citations · 2024
- 6Flow Currents Support Simple and Versatile Trail-Tracking Strategies8 citations · 2023
- 7Flowtaxis in the wakes of oscillating airfoils7 citations · 2020
- 8Source seeking for a three-link model of fish locomotion3 citations · 2009
- 9