Bruno L. Dalmazo

Papers

Total Citations

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About

Bruno L. Dalmazo is a leading researcher in the intersection of cybersecurity, machine learning, and robotic systems. His work focuses on safeguarding autonomous and networked robotic platforms—particularly those built on the Robot Operating System (ROS)—from sophisticated cyber threats. Dalmazo’s most cited paper, "Detecting Data Injection Attacks in ROS Systems using Machine Learning" (2022, 7 citations), addresses a critical vulnerability in modern robotics: the susceptibility of ROS-based systems to data injection attacks. By leveraging machine learning techniques, he proposes novel detection mechanisms that enhance the resilience of robots operating alongside humans. This contribution is especially timely as robots increasingly share physical and digital spaces with people, expanding the attack surface. Dalmazo’s research not only identifies these emerging risks but also provides practical, data-driven defenses. His work is foundational for engineers and researchers developing secure, trustworthy autonomous systems, and it underscores the urgent need to bridge cybersecurity with robotics. With a growing citation footprint, Dalmazo is establishing himself as a key voice in securing the next generation of intelligent, interconnected machines.