Moez Krichen
Papers
6
Total Citations
103
H-Index
4
About
Dr. Moez Krichen is a prolific researcher whose work spans the critical intersection of formal verification, artificial intelligence, and disaster management. His foundational contributions include pioneering methodologies for automated testing of real-time and robotic applications, most notably through the automatic generation of observers from timed automata specifications—a highly cited work (34 citations) that has shaped conformance testing. In recent years, Dr. Krichen has become a leading voice in leveraging emerging technologies for earthquake disaster management, with his 2024 perspective piece (39 citations) serving as a key reference for integrating AI, UAVs, and robotics into resilient infrastructure. He has also advanced neural network control theory, developing adaptive command filter systems for nonlinear robotics (14 citations), and contributed to deep reinforcement learning surveys that bridge theory and practice. His applied work includes deep learning-based face-mask detection systems, demonstrating his commitment to socially impactful AI. With over 100 citations across his most influential papers, Dr. Krichen’s research continues to guide both theoretical advances and practical solutions for safety-critical systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Deep Reinforcement Learning12 citations · 2023
- 5Roles of UAVs, Robots, and AI in Earthquake Disaster Management2 citations · 2025
- 6