Climate Adaptation & Hazard Mitigation Planning

    Catastrophic natural disasters present formidable challenges to build resilient communities. While the direct impacts of hazards such as floods, hurricanes, and landslides are well-documented, the indirect consequences—resulting from the complex interdependencies between natural systems and human infrastructure—are often overlooked or underestimated. These cascading risks can amplify disaster impacts, spreading across systems due to changes in hazard patterns, human exposure, economic shifts, and disruptions in supply chains. My research seeks to address these gaps by examining how such cascading effects propagate across social, environmental, and infrastructure systems.

    To quantify these systemic risks, I leverage advanced agent-based models, computational methods, and open geospatial tools to analyze the impacts of compound hazards—such as storm surges and flooding—on vulnerable communities. By integrating open data and geoinformation techniques, my work contributes to the development of a robust framework for assessing and managing the interconnected risks posed by climate-driven extreme events.

    In addition, my research explores the role of adaptation planning in reducing the vulnerability of urban and rural communities to climate change. With rapid urbanization and growing populations, the urgency for effective adaptation strategies has never been higher. Through interdisciplinary approaches and scenario analyses, I assess the effectiveness of various mitigation and adaptation policies. Using machine learning and artificial intelligence (AI), I simulate the impact of climate change and natural hazards on communities, aiming to provide actionable insights for policymakers. The ultimate goal is to identify and design strategies that enhance resilience, inform sustainable urban planning, and guide proactive adaptation in the face of climate uncertainty.

    Systemic Risk

Refereed journal articles