Ahmad T. Abdulsadda
Michigan State University, Al-Furat Al-Awsat Technical University
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
Top Papers
- 1An artificial lateral line system using IPMC sensor arrays90 citations · 2012
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- 4Underwater source localization using an IPMC-based artificial lateral line49 citations · 2011
- 5Localization of source with unknown amplitude using IPMC sensor arrays15 citations · 2011
- 6Optimal Robotic Path Planning Using Intlligents Search Algorithms11 citations · 2021
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- 9Optimal Robotic Path Planning Using Intlligents Search Algorithms6 citations · 2021
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