Shangjia Dong

Assistant professor

University of Delaware

United States

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Shangjia Dong is an Assistant Professor at the University of Delaware, USA. His research primarily focuses on disaster preparedness, resilience in transportation networks, and the human-infrastructure interactions during environmental crises. His recent articles explore topics such as feature alignment in contrastive learning, household adaptations to power outages, and the impacts of flooding on transportation and opioid treatment accessibility.

Articles (19)

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Collaborators (5)

Flavia Ioana Patrascu

Assistant Professor

Louisiana State University

UNITED STATES

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Ali Mostafavi

UNITED STATES

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A.R. Siders

Assistant Professor

University of Delaware

UNITED STATES

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Sarah Elizabeth Scales

Assistant Professor

University of Nebraska Medical Center

UNITED STATES

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Matthew Malecha

Instructional Assistant Professor

Texas A&M University

UNITED STATES

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Shangjia Dong

Research Interests

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About

Articles (19)

Deep contrastive learning for feature alignment: Insights from housing-household relationship inference

Lights out, decisions on: How households adapt to power outages across regions and events

Living with and without water: modeling human-infrastructure interactions in disaster preparedness

Critical facility accessibility and road criticality assessment considering flood-induced partial failure

Ensuring Access to Opioid Treatment Program Services Among Delawareans Vulnerable to Flooding

Anatomy of perturbed traffic networks during urban flooding

Characterizing resilience of flood-disrupted dynamic transportation network through the lens of link reliability and stability

Predicting road flooding risk with crowdsourced reports and fine-grained traffic data

Modest flooding can trigger catastrophic road network collapse due to compound failure

A Network Observability Framework for Sensor Placement in Flood Control Networks to Improve Flood Situational Awareness and Risk Management

Critical facility accessibility rapid failure early-warning detection and redundancy mapping in urban flooding

Operationalizing resilience practices in transportation infrastructure planning and project development

Predictive multi-watershed flood monitoring using deep learning on integrated physical and social sensors data

Quantitative measures for integrating resilience into transportation planning practice: Study in Texas

Integrated infrastructure-plan analysis for resilience enhancement of post-hazards access to critical facilities

Determinants of Risk Disparity Due to Infrastructure Service Losses in Disasters: A Household Service Gap Model

Network analysis and characterization of vulnerability in flood control infrastructure for system-level risk reduction

A hybrid deep learning model for predictive flood warning and situation awareness using channel network sensors data

Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning

Collaborators (5)

Flavia Ioana Patrascu

Ali Mostafavi

A.R. Siders

Sarah Elizabeth Scales

Matthew Malecha

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