Papers

13

Total Citations

381

H-Index

8

About

Nicole Abaid is a pioneering researcher at the intersection of bioinspired robotics, animal behavior, and engineering education. Her work centers on understanding and influencing collective behavior in animal groups—particularly fish—through biomimetic robotic agents. In her landmark studies, Abaid demonstrated that zebrafish respond differentially to robotic fish based on design features like aspect ratio, tail beat frequency, and color, with her foundational 2012 paper garnering over 100 citations. She co-authored a highly influential 2014 paper introducing machine learning techniques to classify collective behavior patterns across animal species, reshaping how researchers analyze group dynamics. Abaid’s contributions extend to ethorobotics, where she developed low-cost robotic fish for both behavioral experiments and STEM outreach, including a Brooklyn-based program that has attracted K-12 students to engineering careers. Her recent work on human-robot search and rescue, integrating anticipatory planning and dynamic lost person models, shows her expanding impact into autonomous systems. With over 375 total citations and a portfolio spanning animal-robot interaction, collective behavior, and educational robotics, Abaid stands out for bridging fundamental biological questions with practical engineering solutions.

Research Focus

Key Achievements

8
H-Index
13
Papers
381
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Zebrafish response to robotic fish: preference experiments on isolated individuals and small shoals
100 citations · 2012
📈 Most Prolific Year: 2012 (3 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: New York University, SUNY Polytechnic Institute, Virginia Tech

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago