Zainab Ali Abbood

Al Mansour University College, Bangor University, University of Basrah

Papers

Total Citations

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About

Zainab Ali Abbood is a researcher whose work bridges robotics, evolutionary computation, and digital art. Her primary research areas include simultaneous localization and mapping (SLAM) for autonomous mobile robots, evolutionary algorithms—particularly the Fly Algorithm—and their applications in 3D voxelisation, sound synthesis, and digital art. Her most cited work, “Similarity measurement’s comparison with mapping and localization in large-scale” (2023, 17 citations), addresses a core challenge in SLAM: enabling robots to learn and navigate their environment by estimating location and reconstructing surroundings from sensor data. She has also made notable contributions to evolutionary art and sound synthesis, using the Fly Algorithm—a cooperative co-evolution approach—to generate digital mosaics and synthetic sounds without prior constraints. Her 2017 papers on evolutionary art and voxelisation for PET imaging demonstrate her versatility in applying bio-inspired computation to both creative and medical imaging domains. Abbood’s work shows a unique ability to adapt a single algorithmic framework across diverse fields, from autonomous navigation to artistic expression, highlighting the Fly Algorithm’s flexibility and her own interdisciplinary impact.