Papers

12

Total Citations

325

H-Index

7

About

Ahmad T. Abdulsadda is a researcher whose work spans bio-inspired sensing systems, underwater robotics, and intelligent autonomous navigation. He is best known for his pioneering contributions to artificial lateral line (ALL) systems — engineering analogs of the sensory organs found in fish and aquatic amphibians — designed to enhance the navigational and perceptual capabilities of underwater robots. His most influential work introduced ionic polymer–metal composite (IPMC) sensor arrays as the foundation for these systems, enabling underwater robots to detect, localize, and track vibrating dipole sources with remarkable precision. His 2012 paper on IPMC-based ALL systems has accumulated 90 citations, while subsequent work on nonlinear estimation-based localization (71 citations) and moving dipole source tracking (61 citations) cemented his standing as a leading voice in the field. Collectively, his ALL-focused publications represent a significant body of work that bridges biological inspiration with practical underwater sensing technology. Beyond underwater robotics, Abdulsadda has more recently explored intelligent robotic path planning using fuzzy particle swarm optimization and contributed to reviews on solar photovoltaic panel maintenance, reflecting a broadening research portfolio with growing relevance to autonomous systems and renewable energy applications.

Research Focus

Key Achievements

7
H-Index
12
Papers
325
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
An artificial lateral line system using IPMC sensor arrays
90 citations · 2012
📈 Most Prolific Year: 2012 (4 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Michigan State University, Al-Furat Al-Awsat Technical University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago