Walid El‐Shafai

Papers

Total Citations

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About

Walid El-Shafai is a leading researcher at the intersection of cybersecurity, biometrics, and intelligent robotics. His work primarily focuses on securing Internet-of-Things (IoT) environments through innovative biometric systems, while simultaneously advancing human-machine interaction via neurophysiological signal processing. El-Shafai’s most cited paper, “Cancelable biometric system for IoT applications based on optical double random phase encoding” (2022, 21 citations), introduces a groundbreaking approach to protecting biometric data in IoT devices, particularly robots, by employing optical encryption techniques to enhance security and privacy. This work addresses a critical vulnerability in the rapidly expanding IoT ecosystem. More recently, El-Shafai has pioneered the integration of artificial intelligence with assistive robotics. His 2025 paper, “NeuroFusion-Trans,” proposes a novel Transformer-based model that fuses EEG and EMG signals for intuitive user intent recognition, enabling more responsive and natural control of assistive devices. Additionally, his research on hybrid neural network controllers, inspired by African vulture optimization, improves trajectory tracking accuracy in robotic manipulators. With a growing citation impact and a portfolio that bridges theoretical innovation and practical application, El-Shafai is shaping the future of secure, intelligent, and human-centric robotic systems.