Emily uses geospatial analytics to investigate the spatial character of socio-technical systems, in which human decision-making affects resource availability and infrastructure performance as resource and infrastructure systems affect human decisions. She develops agent-based models of sociotechnical systems to simulate feedback mechanisms and adaptive behaviors among consumers, infrastructure, and environmental systems. Her interests include optimization models and algorithms to manage the sustainability, security, and resilience of complex infrastructure systems––particularly those managing household water, stormwater, and solar power.

Roles

• Fellows

Publications

• A Hybrid Data-Driven-Agent-Based Modelling Framework for Water Distribution Systems Contamination Response during COVID-19 (2022)
• A Sequential Pressure-Based Algorithm for Data-Driven Leakage Identification and Model-Based Localization in Water Distribution Networks (2022)
• Effects of the COVID-19 Pandemic on Water Utility Operations and Vulnerability (2022)
• Using a digital twin to explore water infrastructure impacts during the COVID-19 pandemic (2022)
• A K-Sensor correlation-based evolutionary optimization algorithm to cluster contamination events and place sensors in water distribution systems (2021)
• Connected communities improve hazard response: An agent-based model of social media behaviors during hurricanes (2021)
• Developing a framework for classifying water lead levels at private drinking water systems: A Bayesian Belief Network approach (2021)
• Water Use in the Landscape: A Comparison of Water Quality and Irrigation Technologies on Behavior (2021)
• Water and Wastewater Systems and Utilities: Challenges and Opportunities during the COVID-19 Pandemic (2021)
• Agent-Based Model of a Blockchain Enabled Peer-to-Peer Energy Market: Application for a Neighborhood Trial in Perth, Australia (2020)

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