Nannan Chen

Northwestern University, University of Illinois Urbana-Champaign

Papers

Total Citations

190

H-Index

About

Nannan Chen is a pioneer in bio-inspired sensing, merging microelectromechanical systems (MEMS) with biology to replicate fish-like hydrodynamic perception. Her foundational work on the artificial lateral line—a system that emulates the neuromasts in fish—has garnered over 175 citations, establishing her as a leading figure in biomimetic flow sensing. By engineering arrays of biomimetic sensors, Chen demonstrated how artificial lateral lines can achieve precise localization and flow detection, enabling underwater robots to “feel” their environment like fish. Her research extends to tactile shear stress sensors, derived from bio-inspired artificial hair-cell designs, which offer exceptional sensitivity and directional response. These versatile devices hold potential beyond flow sensing, including tactile feedback for robotics and prosthetics. Chen’s contributions have advanced the field of biomimetic sensing, providing foundational platforms for autonomous underwater vehicles and smart skin technologies. Her work continues to inspire innovations in sensory systems that bridge the gap between biology and engineering.