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About

Adham Sabra is a researcher focused on advancing the autonomy and reliability of underwater robotic systems, with key contributions in cooperative localisation, swarm intelligence, and robust control. His work addresses fundamental challenges in subsea operations, where GPS is unavailable and environmental disturbances like ocean currents degrade performance. Sabra’s most cited paper, “A Fuzzy Cooperative Localisation Framework for Underwater Robotic Swarms” (2020, 16 citations), introduces a novel framework that dynamically fuses multiple position estimates from autonomous underwater vehicles using a fuzzy decision support system, significantly improving localisation accuracy in large-scale swarms. He further extends this line of research through multi-objective optimisation and applications to ocean-bottom seismic imaging, demonstrating the practical value of his methods for oil and gas exploration. In control systems, Sabra’s work on sliding mode control with disturbance estimation (2022) provides robust solutions for mitigating modeling errors and tidal currents, enhancing vehicle mobility. His research directly supports critical subsea missions, including deep-sea exploration and environmental monitoring, and his publications are steadily gaining recognition for their innovative integration of fuzzy logic, optimisation, and swarm coordination.