Fardad Haghpanah
Papers
2
Total Citations
21
H-Index
2
About
Fardad Haghpanah is a researcher whose work lies at the intersection of computational modeling, disaster management, and urban safety, with a particular focus on large-scale evacuation simulation. His key contributions center on developing and evaluating agent-based models that can guide real-world decision-making during emergencies. In his most cited work, "Application of bug navigation algorithms for large-scale agent-based evacuation modeling to support decision making" (2021, 16 citations), Haghpanah introduced innovative navigation algorithms inspired by biological systems to improve the efficiency and realism of pedestrian evacuation simulations. This work is complemented by his earlier study, "Performance Evaluation of Pedestrian Navigation Algorithms for City Evacuation Modeling" (2018, 5 citations), which systematically assessed different algorithmic approaches for simulating crowd movement during city-wide evacuations. By bridging the gap between theoretical navigation models and practical emergency response, Haghpanah’s research provides critical tools for urban planners and disaster managers, helping to estimate evacuation times and optimize safety protocols. His work is particularly notable for its application to large-scale, complex environments, moving beyond traditional building evacuations to address city-level challenges.
Research Focus
Key Achievements
Top Papers
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- 2