SORAYA ZENHARI

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About

Soraya Zenhari is a pioneering researcher in the intersection of artificial intelligence and autonomous vehicle systems, with a particular focus on intelligent parking solutions. Her most cited work, "Automatic Robot Car Parallel Parking System Using Artificial Neural Network" (2024), demonstrates her innovative approach to applying neural network architectures to solve complex real-world navigation challenges. This paper, which has garnered 2 citations in its early publication stage, introduces a novel framework that enables robotic vehicles to autonomously execute parallel parking maneuvers through learned spatial awareness and control algorithms. Zenhari's contributions lie in bridging theoretical AI models with practical automotive applications, addressing critical gaps in urban mobility and autonomous driving safety. Her research holds significant potential for reducing human error in parking scenarios and enhancing the efficiency of automated transportation systems. As an emerging voice in the field, Zenhari's work represents a promising step toward more intelligent and self-sufficient robotic systems, with implications for smart city infrastructure and next-generation vehicle automation. Her dedication to advancing neural network-based control systems positions her as a researcher to watch in the rapidly evolving domain of autonomous robotics.