Research
Teaching
Our Research Sponsors
Projects
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Integrating Large-Scale Geospatial Data and Community-Based Approach to Assess the Mental Health Impacts of Healthcare Inaccessibility During Climate Disasters. Texas A&M Center for Environmental Health Research (TiCER) Pilot Project Program, PI.
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HeatSMART: Co-Developing Solutions for Monitoring and Augmenting Resilience to Extreme Heat in Traditionally Industrial Communities. National Aeronautics and Space Administration (NASA), PI. [link]
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Quantifying Healthcare Facility Disruptions in Hurricane Beryl Using Cellphone Location Data. Rapid Research Award, NSF-Funded Public Health Extreme Events Research (PHEER) Network. PI.
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Enhancing Healthcare Facility Resilience to Extreme Weather Events with High-Resolution Climate Simulations and Human Mobility Analytics. TAMU College of Arts & Science, Strategic Transformative Research Program. PI.
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Early-Career Research Fellowship in Human Health and Community Resilience, National Academies of Sciences, Engineering, Medicine (NASEM), Gulf Research Program. PI. [link]
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Unequal Human Responses and Health Outcomes to Extreme Heat: Evidence from the Novel Integration of Climate, Seismic and Cell Phone Location Data, TAMU College of Arts & Science, Strategic Transformative Research Program. PI.
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HNDS-I: Cyberinfrastructure for Human Dynamics and Resilience Research, National Science Foundation, Human Network and Data Science Program. Co-PI. [link]
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Climate-LEAD: Climate Effects on Localized Environmental HeAlth Disparities in Overburdened Texas Communities along Gulf Coast, National Academies of Sciences, Engineering, Medicine (NASEM), Gulf Research Program. Co-PI. [link]​
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Restoring Happiness: Leveraging GeoAI and Social Engagement to Address Happiness Inequalities Post Covid and Winter Storm Uri, Texas A&M University Innovation [X]. PI.​
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Geospatial Data Science: Advances and Applications, Texas A&M Institute of Data Science, Data Science Course Development Grant Program. PI.
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An Educational Learning Module of Geospatial Intelligence, Texas A&M University Presidential Transformational Teaching Grants. PI.
Research Area
Human Movement Dynamics
Model population activity patterns and behavioral responses to extreme events using mobile phone location based data, with an emphasis on who adapts, how, and where disparities emerge.
Seismic Sensing
Use seismic signals, often ambient 'background' noise recorded by seismometers or distributed acoustic sensing (DAS) technology, to infer human activity and infrastructure dynamics (e.g., traffic intensity, industrial operations, and system disruptions/recovery) across space and time.
Dynamic Environmental Exposure and Health Risk
Integrate high-resolution environmental data (e.g., air pollution, heat, built-environment factors) with human mobility and health outcomes to dynamically estimate where and when people are exposed, quantify resulting health risks and inequities, and generate decision-relevant evidence for urban planning and environmental health policy.
Social Sensing
Use people-generated digital signals (e.g., social media posts, crowdsourced reports, search/activity traces) as. 'sensors' to measure and understand real-world events and human responses across space and time.
Disaster Resilience Analytics and Modeling
Develop data-driven frameworks to detect, quantify, and explain spatiotemporal disruptions and recovery in cities (e.g., mobility, service access, and infrastructure functionality), producing decision-relevant resilience indicators for planning and emergency management.
Coupled Natural-Human System Modeling
Model cities and regions as integrated systems where environmental change and human decisions co-evolve through feedbacks. For example, we couple coastal land-loss processes with human outcomes (e.g., population change and move/stay decisions) using probabilistic and system-dynamics models, enabling scenario analysis that links hazard exposure, socioeconomic conditions, and migration decisions.