Ayman Elshenawy

Al-Ahliyya Amman University, Al-Azhar University

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About

Ayman Elshenawy is a researcher whose work bridges foundational artificial intelligence and advanced multi-agent robotics. His most impactful contribution is the comprehensive 2025 survey, "The Evolution of Deep Learning: Models, Applications, and Future Directions," which has already garnered 6 citations. This paper systematically maps the deep learning landscape, tracing the lineage from classic architectures like MLPs, CNNs, and RNNs to cutting-edge transformers and generative models, providing an essential roadmap for students and practitioners navigating this rapidly evolving field. Elshenawy’s earlier work, "An Evaluation of Multi-Robot Systems Exploration Algorithms" (2019), demonstrates a sustained interest in autonomous systems, specifically addressing the critical challenge of how teams of identical robots can efficiently and cooperatively map unknown, obstacle-filled environments. While his citation count is currently modest, the timeliness and scope of his deep learning survey position him as a rising voice in synthesizing complex technical domains. His research trajectory—from practical multi-robot coordination to the theoretical underpinnings of modern AI—reflects a versatile and forward-looking approach, making his work a valuable resource for those exploring the intersection of intelligent systems and real-world deployment.