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About

Ahmad Dagamseh is a leading researcher in bio-inspired micro-sensors, whose work bridges biology and engineering to create artificial sensory systems for next-generation robotics. His primary research areas include biomimetic flow sensors, artificial lateral-line systems, and micro-electromechanical systems (MEMS) for flow pattern recognition. Dagamseh’s most significant contribution is the development of artificial hair flow sensors arranged in linear arrays that mimic the lateral-line system in fish—a sensory organ enabling fish to detect water movements, localize prey, and navigate. His landmark 2013 paper, “Imaging dipole flow sources using an artificial lateral-line system made of biomimetic hair flow sensors” (57 citations), demonstrated how these artificial sensors can measure airflow patterns and localize dipole sources, a critical step toward equipping robots with “flow cameras” for environmental sensing. In related work (2011, 15 citations), he advanced the concept of high-resolution flow cameras for 3D hydrodynamic reconstruction, while another study (2011, 6 citations) combined these sensors with beamforming techniques to enhance source localization. Dagamseh’s research has profound implications for autonomous underwater vehicles, environmental monitoring, and human-robot interaction, offering a new sensory modality that complements vision and touch. His work stands as a cornerstone in the quest to give robots a fish-like sense of flow.