Mondher Bouazizi

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About

Mondher Bouazizi is a leading researcher in artificial intelligence and robotics, with a focus on integrating deep learning into autonomous systems for real-world monitoring and security applications. His work spans disaster relief robotics, indoor human activity detection, and social media bot identification. Notably, his 2022 study on deep learning with RGB and thermal imagery for drone-based monitoring—cited 68 times—introduced a robust AI component for patrolling restricted disaster zones, developed in collaboration with Japan’s Advanced Robotics Foundation. This contribution enhances autonomous situational awareness in hazardous environments. Bouazizi also pioneered a 2D-LiDAR-equipped unmanned robot approach for detecting falls and activities among elderly individuals living alone (2023, 18 citations), addressing critical healthcare challenges. In cybersecurity, he developed a novel method combining RoBERTa classifiers and random forest regressors with similarity analysis to detect social robots on Twitter (2022, 6 citations), helping safeguard digital discourse. His interdisciplinary research demonstrates high impact in both physical and virtual domains, offering scalable solutions for safety, health, and information integrity. Bouazizi’s work continues to influence the next generation of intelligent autonomous systems.