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Decision-making Frameworks Enhancing Interdependent Infrastructures Resilience
Decision-making Frameworks Enhancing Interdependent Infrastructures Resilience
Interdependent infrastructure systems administrators need reliable and rapid tools to correctly analyze and respond to large-scale disruptions and eventually enhance resilience.
Optimization-based frameworks can provide valuable insights into the restoration of disrupted infrastructures and how the limited resources and repair crews should be prioritized and assigned to the network.
Large-scale disruptive events have impacted infrastructure networks in the USA, like the 2003 power outage and the 2017 Hurricane Irma.
This research will benefit security and public health by improving the performance of infrastructure systems to bounce back to normal activity and lower the impacts on vulnerable communities, respectively.
Project Title: Integrative Decision Making Framework to Enhance the Resiliency of Interdependent Critical Infrastructures.
Funding Agency: NSF CRISP.
Utility Partners: Department of Transportation and Stormwater Services, Public Works and Utility Services (City of Tampa).
Role: Graduate Research Assistant
Publications
Publications
• Mohebbi, S., Aslani, B., Dsouza, M. (2024). A Graph-empowered Agent-based Simulation: Impacts of Coordination Schemes on Critical Infrastructures Resilience. Reliability Engineering \& System Safety, 110658. [Link]
• Mohebbi, S., Aslani, B., Dsouza, M. (2024). A Graph-empowered Agent-based Simulation: Impacts of Coordination Schemes on Critical Infrastructures Resilience. Reliability Engineering \& System Safety, 110658. [Link]
• Rahimi-Golkhandan, A., Aslani, B., Mohebbi, S. (2022). Predictive Resilience of Interdependent Water- Transportation Infrastructures: A Sociotechnical Approach. Socio-Economic Planning Sciences, 80, 101166. [Link]
• Rahimi-Golkhandan, A., Aslani, B., Mohebbi, S. (2022). Predictive Resilience of Interdependent Water- Transportation Infrastructures: A Sociotechnical Approach. Socio-Economic Planning Sciences, 80, 101166. [Link]
• Aslani, B., Mohebbi, S., Axthelm, H. (2021). Predictive Analytics for Water Main Breaks Using Spatiotemporal Data. Urban Water Journal, 18:6, 433-448.1–30. [Link]
• Aslani, B., Mohebbi, S., Axthelm, H. (2021). Predictive Analytics for Water Main Breaks Using Spatiotemporal Data. Urban Water Journal, 18:6, 433-448.1–30. [Link]
• Aslani, B., Mohebbi, S. (2021). Data on Predictive Resilience of Interdependent Water and Transportation Infrastructures: A Sociotechnical Approach. Data in Brief, 39, 107512. [Link]
• Aslani, B., Mohebbi, S. (2021). Data on Predictive Resilience of Interdependent Water and Transportation Infrastructures: A Sociotechnical Approach. Data in Brief, 39, 107512. [Link]
• Mohebbi, S., Barnett, K., Aslani, B. (2021). Decentralized resource allocation for interdependent infrastructures resilience: a cooperative game approach. International Transactions in Operational Research, 28: 3394-3415. [Link]
• Mohebbi, S., Barnett, K., Aslani, B. (2021). Decentralized resource allocation for interdependent infrastructures resilience: a cooperative game approach. International Transactions in Operational Research, 28: 3394-3415. [Link]
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