Ghada M. El‐Banby

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Total Citations

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About

Ghada M. El‐Banby is a leading researcher in the intersection of biometric security, optical information processing, and the Internet of Things (IoT). Her work focuses on developing robust, cancelable biometric systems that protect user privacy while enabling secure access for emerging technologies like IoT robots. Her major contribution includes pioneering the use of optical double random phase encoding to create cancelable biometric templates, a method that ensures stolen biometric data can be revoked and replaced—a critical advancement for sensitive environments. This work, published in 2022, has already garnered 21 citations, reflecting its immediate impact on the field. Additionally, she has advanced speaker identification for robotic applications by integrating Radon transforms with convolutional neural networks (CNNs), achieving robust performance even under various interference conditions. This 2021 study, with 19 citations, demonstrates her ability to bridge theoretical optics with practical AI-driven security solutions. El‐Banby’s research is notable for its direct applicability to real-world IoT security challenges, making her a key figure in the ongoing effort to safeguard autonomous systems and smart environments.