9 citations · 34 across the 20 of their papers we have counts for
21 papers
Damage-TriageFormer: A Foundation-Model Framework for Typology-Based Building Damage Assessment from Mono-Temporal Imagery
Yiming Xiao, Yu-Hsuan Ho, Sanjay Thasma +2
Decision-relevant building damage assessment is critical for prioritizing resources and recovery after a disaster, yet most automated methods either flatten damage into a single se…
Data-efficient flood depth prediction through domain-aware coreset selection and tabular foundation models
Lipai Huang, Adithi Srinath, Manas Singh +2
Near-real-time flood depth prediction demands surrogate models that are accurate, fast, and transferable across watersheds. Supervised surrogates can match physics-based simulators…
DisastRAG: A Multi-Source Disaster Information Integration and Access System Based on Retrieval-Augmented Large Language Models
Bo Li, Zhitong Chen, Kai Yin +3
Effective disaster management requires rapid access to information distributed across structured operational records, unstructured institutional documents, and dynamic external sou…
DisastQA: A Comprehensive Benchmark for Evaluating Question Answering in Disaster Management
Zhitong Chen, Kai Yin, Xiangjue Dong +7
Accurate question answering (QA) in disaster management requires reasoning over uncertain and conflicting information, a setting poorly captured by existing benchmarks built on cle…
A Parametric Framework for Anticipatory Flashflood Warning: Integrating Landscape Vulnerability with Precipitation Forecasts
Xiangpeng Li, Junwei Ma, Samuel D Brody +1
Flash flood warnings are largely reactive, providing limited advance notice for evacuation planning and resource prepositioning. This study presents and validates an anticipatory,…
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…
Decoupling Urban Food Accessibility Resilience during Disasters through Time-Series Analysis of Human Mobility and Power Outages
Junwei Ma, Bo Li, Xiangpeng Li +1
Disaster-induced power outages create cascading disruptions across urban lifelines, yet the timed coupling between grid failure and essential service access remains poorly quantifi…
Disaster Management in the Era of Agentic AI Systems: A Vision for Collective Human-Machine Intelligence for Augmented Resilience
Bo Li, Junwei Ma, Kai Yin +3
The escalating frequency and severity of disasters routinely overwhelm traditional response capabilities, exposing critical vulnerability in disaster management. Current practices…
Quantifying the Social Costs of Power Outages and Restoration Disparities Across Four U.S. Hurricanes
Xiangpeng Li, Junwei Ma, Bo Li +1
The multifaceted nature of disaster impact shows that densely populated areas contribute more to aggregate burden, while sparsely populated but heavily affected regions suffer disp…
Anatomy of a Historic Blackout: Decoding Spatiotemporal Dynamics of Power Outages and Disparities During Hurricane Beryl
Xiangpeng Li, Junwei Ma, Ali Mostafavi
This study investigates the spatial patterns and temporal variations in outage duration, intensity, and restoration/recovery following the 2024 Hurricane Beryl in Houston, Texas. T…
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 (…
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…
Recent Decade's Power Outage Data Reveals the Increasing Vulnerability of U.S. Power Infrastructure
Bo Li, Junwei Ma, Femi Omitaomu +1
Despite significant anecdotal evidence regarding the vulnerability of the U.S. power infrastructure, there is a dearth of longitudinal and nation-level characterization of the spat…
Non-locality and Spillover Effects of Residential Flood Damage on Community Recovery: Insights from High-resolution Flood Claim and Mobility Data
Junwei Ma, Russell Blessing, Samuel Brody +1
Examining the relationship between vulnerability of the built environment and community recovery is crucial for understanding disaster resilience. Yet, this relationship is rather…
Decoding the Pulse of Community during Disasters: Resilience Analysis Based on Fluctuations in Latent Lifestyle Signatures within Human Visitation Networks
Junwei Ma, Ali Mostafavi
Examining the impact of disasters on life activities of populations is critical for understanding community resilience dynamics, yet it remains insufficiently studied in the existi…
Unsupervised Graph Deep Learning Reveals Emergent Flood Risk Profile of Urban Areas
Kai Yin, Junwei Ma, Ali Mostafavi
Urban flood risk emerges from complex and nonlinear interactions among multiple features related to flood hazard, flood exposure, and social and physical vulnerabilities, along wit…
Urban Form and Structure Explain Variability in Spatial Inequality of Property Flood Risk among US Counties
Junwei Ma, Ali Mostafavi
Understanding the relationship between urban form and structure and spatial variation of property flood risk has been a longstanding challenge in urban planning and city flood risk…
Attributed Network Embedding Model for Exposing COVID-19 Spread Trajectory Archetypes
Junwei Ma, Bo Li, Qingchun Li +2
The spread of COVID-19 revealed that transmission risk patterns are not homogenous across different cities and communities, and various heterogeneous features can influence the spr…
Quantitative Measures for Integrating Resilience into Transportation Planning Practice: Study in Texas
Cheng-Chun Lee, Akhil Rajput, Chia-Wei Hsu +10
The objective of this study is to propose a system-level framework with quantitative measures to assess the resilience of road networks. The framework proposed in this paper can he…
Characterizing Community Formation in Response to Extreme Weather Events through Human Mobility Networks
Cheng-Chun Lee, Junwei Ma, Kai Yin +3
Community formation in socio-spatial human networks is one of the important mechanisms for mitigating hazard impacts of extreme weather events. Research is scarce regarding latent…
Characterizing Urban Lifestyle Signatures Using Motif Properties in Network of Places
Junwei Ma, Bo Li, Ali Mostafavi
The lifestyles of urban dwellers could reveal important insights regarding the dynamics and complexity of cities. Despite growing research on analysis of lifestyle patterns in citi…