Lyes Saad Saoud

Khalifa University of Science and Technology

Papers

Total Citations

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About

Lyes Saad Saoud is a robotics researcher whose work bridges the gap between marine autonomy and biomimetic field robotics. His primary research areas include unmanned surface vessels (USVs), underwater computer vision, and bio-inspired robotic systems for wildlife observation. Saoud’s major contributions are twofold: he led the design and implementation of the “Marine 𝒳” USV for vision-guided navigation (8 citations), demonstrating a practical platform for autonomous maritime operations in search and rescue and environmental monitoring. He also developed MARS (Multi-Scale Adaptive Robotics Vision), a real-time, resource-efficient system for underwater object detection that excels in domain generalization under challenging lighting conditions (7 citations). Notably, Saoud’s work extends to conservation technology with the “HuBot” project—a biomimetic mobile robot designed for non-disruptive behavioral studies of the elusive Houbara bustard (2 citations). This innovative approach addresses a critical challenge in ornithology by minimizing human disturbance during field observations. With a growing citation record and a portfolio spanning from autonomous navigation to ecological monitoring, Saoud is establishing himself as a versatile engineer whose research directly impacts both maritime safety and biodiversity conservation.