Ph.D. Candidate at Texas A&M UniversityJunwei is currently a Ph.D. Candidate in the Zachry Department of Civil and Environmental Engineering at Texas A&M University. He works under the supervision of Prof. Ali Mostafavi at the Urban Resilience.AI Lab.
Junwei's research centers around four interconnected themes: Urban Resilience, Urban Systems, Urban Intelligence, and Urban Crises (4U).
His research goal is to create new knowledge and methods in integrated intelligence to deliver transformative solutions that enhance resiliency, accessibility, inclusivity, sustainability, and equity (RAISE) in urban environments under ever-changing climate conditions.
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Texas A&M UniversityPh.D. in Civil EngineeringSep. 2021 - May. 2025
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Southeast UniversityM.S. in Management Science and EngineeringSep. 2018 - Jun. 2021 -
Southeast UniversityB.E. in Construction ManagementSep. 2014 - Jun. 2018
Experience
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Urban Resilience.AI LabGraduate Research AssistantJan. 2024 - Present -
Texas A&M UniversityGraduate Teaching AssistantSep. 2022 - Dec. 2023
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Urban Resilience.AI LabGraduate Research AssistantSep. 2021 - Aug. 2022
News
Selected Publications (View all )
Decoding the Pulse of Community during Disasters: Resilience Analysis Based on Fluctuations in Latent Lifestyle Signatures within Human Visitation Networks
Junwei Ma, Ali Mostafavi
International Journal of Disaster Risk Reduction 2025
In this study, we leveraged data from more than 1.2 million anonymized human mobility communications across 30 parishes in Louisiana to construct a temporal network that tracks visitation to places from which we characterized human lifestyle signatures before, during, and after Hurricane Ida in 2021.
Decoding the Pulse of Community during Disasters: Resilience Analysis Based on Fluctuations in Latent Lifestyle Signatures within Human Visitation Networks
Junwei Ma, Ali Mostafavi
International Journal of Disaster Risk Reduction 2025
In this study, we leveraged data from more than 1.2 million anonymized human mobility communications across 30 parishes in Louisiana to construct a temporal network that tracks visitation to places from which we characterized human lifestyle signatures before, during, and after Hurricane Ida in 2021.
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, Ali Mostafavi
Sustainable Cities and Society 2024
We combined fine-resolution flood damage claims data (composed of both insured and uninsured losses) and human mobility data (composed of millions of movement trajectories) during the 2017 Hurricane Harvey in Harris County, Texas, to specify the extent to which vulnerability of the built environment (i.e., flood property damage) affects community recovery (based on the speed of human mobility recovery) locally and regionally.
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, Ali Mostafavi
Sustainable Cities and Society 2024
We combined fine-resolution flood damage claims data (composed of both insured and uninsured losses) and human mobility data (composed of millions of movement trajectories) during the 2017 Hurricane Harvey in Harris County, Texas, to specify the extent to which vulnerability of the built environment (i.e., flood property damage) affects community recovery (based on the speed of human mobility recovery) locally and regionally.
Urban Form and Structure Explain Variability in Spatial Inequality of Property Flood Risk among US Counties
Junwei Ma, Ali Mostafavi
Communications Earth & Environment 2024
We begin by evaluating spatial inequality of property flood risk using the metric of spatial Gini index (SGI), a measure of spatial inequality, for 2567 counties in the United States, identifying notable variations in spatial inequality of property flood risk across counties. We then explore how urban form and structure may be shaping this spatial inequality of property flood risk, by examining eight distinct urban features to assess their potential relationships.
Urban Form and Structure Explain Variability in Spatial Inequality of Property Flood Risk among US Counties
Junwei Ma, Ali Mostafavi
Communications Earth & Environment 2024
We begin by evaluating spatial inequality of property flood risk using the metric of spatial Gini index (SGI), a measure of spatial inequality, for 2567 counties in the United States, identifying notable variations in spatial inequality of property flood risk across counties. We then explore how urban form and structure may be shaping this spatial inequality of property flood risk, by examining eight distinct urban features to assess their potential relationships.