Papers
2
Total Citations
16
H-Index
2
About
M. Naili is a researcher whose work sits at the intersection of complex systems, agent-based modeling, and safety engineering. Their primary research focus is on developing stability-based models for evacuation systems, a critical area for public safety in crowded environments like supermarkets and large buildings. Naili’s major contribution lies in integrating agent-based social simulation with the Monte Carlo method, a powerful combination that allows for the realistic modeling of autonomous individuals—whether humans, animals, or robots—within dynamic, high-stress scenarios. This approach enables the analysis of emergent behaviors and system stability during evacuations, providing a robust framework for designing safer spaces. With their most-cited paper, "Stability-based model for evacuation system using agent-based social simulation and Monte Carlo method" (2019), accumulating over 16 citations, Naili’s work has demonstrated clear impact in the field. By bridging computational social science and risk assessment, they offer practical tools for engineers and planners, making their research both academically rigorous and directly applicable to real-world safety challenges.
Research Focus
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