Makhlouf Naili
Papers
2
Total Citations
16
H-Index
2
About
Makhlouf Naili is a researcher whose work lies at the intersection of complex systems, agent-based modeling, and safety engineering. His primary research focus is on developing stability-based models for evacuation systems, leveraging agent-based social simulation and Monte Carlo methods to understand how autonomous individuals—whether humans, animals, or robots—behave in dynamic, high-stress environments. His most cited paper, "Stability-based model for evacuation system using agent-based social simulation and Monte Carlo method" (2019), has garnered 11 citations, demonstrating its influence in the field of computational social science and emergency management. In this work, Naili addresses the critical challenge of designing safe evacuation protocols for public spaces like supermarkets, where the behavior of autonomous agents can lead to unpredictable outcomes. By combining agent-based modeling with Monte Carlo simulations, he provides a robust framework for predicting system stability and improving evacuation efficiency. His contributions are particularly notable for their practical applications in urban planning and disaster preparedness, offering a data-driven approach to saving lives. Naili’s research continues to inspire students and researchers interested in the computational modeling of complex social systems and the engineering of safer built environments.
Research Focus
Key Achievements
Top Papers
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