Mustapha Bourahla
Papers
2
Total Citations
16
H-Index
2
About
Mustapha Bourahla is a researcher at the forefront of computational modeling for complex social systems, with a primary focus on agent-based simulation and emergency evacuation dynamics. His most impactful work introduces a stability-based framework for evacuation systems, integrating agent-based social simulation with Monte Carlo methods to model the behavior of autonomous individuals—from humans to robots and insects—within high-stakes environments like supermarket buildings. This innovative approach has earned his flagship publication 11 citations, underscoring its relevance to safety engineering and crowd management. Bourahla’s contributions lie in bridging theoretical modeling with practical, real-world applications, offering a robust methodology for predicting and optimizing evacuation routes under uncertainty. By simulating how decentralized agents interact during crises, his research enhances the reliability of emergency response systems, directly impacting architectural design and public safety protocols. His work is particularly notable for its interdisciplinary reach, appealing to scholars in computer science, sociology, and disaster management. For students and researchers, Bourahla’s studies exemplify how agent-based modeling can transform abstract social phenomena into actionable, life-saving insights.
Research Focus
Key Achievements
Top Papers
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- 2