Faouzi Alaya Cheikh

Norwegian University of Science and Technology

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Total Citations

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About

Faouzi Alaya Cheikh is a leading researcher at the intersection of computer vision, deep learning, and autonomous systems, with a focus on solving real-world challenges in agriculture, marine robotics, and industrial navigation. His work on underwater object detection—cited 14 times in 2023—integrates advanced image enhancement techniques with deep learning models to improve the perception capabilities of autonomous underwater vehicles (AUVs), enabling more reliable oceanographic mapping, environmental monitoring, and archaeology. In precision agriculture, Cheikh’s deep learning approach to wheat ear counting from robot images (8 citations) addresses the labor-intensive bottleneck in crop phenotyping, offering automated, scalable solutions for yield prediction. He has also contributed to head-based tracking for Simultaneous Localization and Mapping (SLAM), enhancing the efficiency of small industrial mobile robots in navigation and odometry tasks. With a portfolio that bridges theoretical advances and practical deployment, Cheikh’s work demonstrates significant impact in enabling intelligent, autonomous systems to operate effectively in complex, unstructured environments—a key step toward more resilient and automated field robotics.