Fathia Moh. Al Samman
Papers
1
Total Citations
2
H-Index
1
About
Dr. Fathia Moh. Al Samman is a leading researcher in robust control systems and multi-agent robotics, with a primary focus on cyber-physical security and intelligent consensus algorithms. Her most cited work, "Fuzzy Logic-Based Robust Global Consensus in Leader-Follower Robotic Systems under Sensor and Actuator Attacks Using Hybrid Control Strategy" (2025), addresses a critical challenge in modern robotics: maintaining stable, global consensus among follower robots when their dynamics are compromised by sophisticated signal attacks targeting both sensors and actuators. By integrating fuzzy logic with a hybrid control strategy, Dr. Al Samman has pioneered a framework that ensures system resilience and coordination even under severe adversarial conditions. This contribution is vital for applications in autonomous swarms, industrial automation, and defense robotics, where security and reliability are paramount. Her research has already garnered early citations, reflecting its immediate relevance to the field. Dr. Al Samman’s work stands at the intersection of control theory, artificial intelligence, and cybersecurity, offering practical solutions for next-generation robotic systems operating in contested environments.
Research Focus
Key Achievements
Top Papers
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