Sahar Maamri

Société Tunisienne de l'Electricité et du Gaz (Tunisia)

Papers

Total Citations

H-Index

About

Sahar Maamri is a researcher at the intersection of artificial intelligence and intelligent transportation systems, with a primary focus on deep learning applications for autonomous vehicle control. Her most cited work, "Traffic sign recognition for controlling intelligent vehicle" (2022), demonstrates her expertise in applying convolutional neural networks—specifically leveraging the AlexNet pre-trained model—to solve critical challenges in traffic sign classification. This contribution addresses a fundamental component of autonomous driving: enabling vehicles to accurately interpret and respond to road signage in real-time. While her citation count is still growing, Maamri's work represents an important step in bridging deep learning theory with practical vehicular control systems. Her research sits at the forefront of AI-driven transportation, where robust image recognition directly impacts safety and reliability. As the field of intelligent vehicles continues to expand, Maamri's foundational work in traffic sign classification provides a building block for more sophisticated autonomous navigation systems, positioning her as an emerging voice in the application of deep learning to real-world transportation challenges.