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20222026
most citedAI Meets Natural Hazard Risk: A Nationwide Vulnerability Assessment of Data Centers to Natural Hazards and Power Outages

9 citations · 33 across the 18 of their papers we have counts for

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5 papers · 1 filter

cs.CY2025

Quantifying Functional Criticality of Lifelines Through Mobility-Derived Population-Facility Dependence for Human-Centered Resilience

Junwei Ma, Bo Li, Xiangpeng Li +2

Lifeline infrastructure underpins the continuity of daily life, yet conventional criticality assessments remain largely asset-centric, inferring importance from physical capacity o…

cs.CY2024★ 9 cited

AI Meets Natural Hazard Risk: A Nationwide Vulnerability Assessment of Data Centers to Natural Hazards and Power Outages

Miguel Esparza, Bo Li, Junwei Ma +1

Our society is on the verge of a revolution powered by Artificial Intelligence (AI) technologies. With increasing advancements in AI, there is a growing expansion in data centers (…

cs.CY2024★ 1 cited

Establishing Nationwide Power System Vulnerability Index across US Counties Using Interpretable Machine Learning

Junwei Ma, Bo Li, Olufemi A. Omitaomu +1

Power outages have become increasingly frequent, intense, and prolonged in the US due to climate change, aging electrical grids, and rising energy demand. However, largely due to t…

cs.CY2024

Beyond Quantities: Machine Learning-based Characterization of Inequality in Infrastructure Quality Provision in Cities

Bo Li, Ali Mostafavi

The objective of this study is to characterize inequality in infrastructure quality across urban areas. While a growing of body of literature has recognized the importance of chara…

cs.CY2022★ 3 cited

Location Intelligence Reveals the Extent, Timing, and Spatial Variation of Hurricane Preparedness

Bo Li, Ali Mostafavi

Improving hurricane preparedness is essential to reduce hurricane impacts. Inherent in traditional methods for quantifying and monitoring hurricane preparedness are significant lag…