Marwan Rafie

Papers

Total Citations

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About

Marwan Rafie is a researcher at the intersection of robotics, computer vision, and embedded systems, with a focus on intelligent automation. His most-cited work, "CNN-Based Alphabet Identification and Sorting Robotic Arm" (2021), demonstrates a practical application of convolutional neural networks for real-time object recognition and physical sorting—a contribution that bridges deep learning with mechatronics. This project, which has garnered 4 citations, showcases his ability to integrate AI with robotic control for tangible, educational, and industrial use cases. Rafie’s research is driven by a commitment to making automation more accessible and efficient, often emphasizing low-cost, scalable solutions. His work is particularly relevant for students and engineers exploring how neural networks can be deployed on embedded platforms for autonomous systems. By combining algorithmic innovation with hardware implementation, Rafie contributes to the growing field of intelligent robotics, where vision-guided manipulation is key. His achievements highlight the potential of AI-driven sorting systems to streamline logistics, manufacturing, and assistive technologies.