Journal Publications (Students italicized)

Baroud, H., & Barker, K. 2017. A Bayesian Kernel Approach to Modeling Resilience-Based Network Component Importance. Accepted. Reliability Engineering & System Safety.

MacKenzie, C. A., Baroud, H., & Barker, K. 2016. Static and dynamic resource allocation models for recovery of interdependent systems: application to the Deepwater Horizon oil spill. Annals of Operations Research236(1), 103-129.

Baroud, H., Barker, K., Ramirez‐Marquez, J. E., & Rocco, C. M. 2015. Inherent costs and interdependent impacts of infrastructure network resilience. Risk Analysis35(4), 642-662.

Baroud, H., Barker, K., & Ramirez-Marquez, J. E. 2014. Importance measures for inland waterway network resilience. Transportation research part E: logistics and transportation review62, 55-67.

Barker, K., & Baroud, H. 2014. Proportional hazards models of infrastructure system recovery. Reliability Engineering & System Safety124, 201-206.

Baroud, H., Ramirez‐Marquez, J. E., Barker, K., & Rocco, C. M. 2014. Stochastic measures of network resilience: Applications to waterway commodity flows. Risk Analysis34(7), 1317-1335.

Baroud, H., Barker, K., & Hank Grant, F. 2013. Multiobjective stochastic inoperability decision tree for infrastructure preparedness. Journal of Infrastructure Systems20(2), 04013012.

Conference Proceedings (Students italicized)

Freitas, J. and Baroud, H. 2017. Impact of Climate Change and Infrastructure Conference Proceedings Risk Management on Arctic Shipping. 12th International Conference on Structural Safety & Reliability (ICOSSAR), Vienna, Austria.

Winckler, V., Wollega E., and Baroud, H. 2017. Renewable Energy Supply Risk Analysis Using Stochastic Network Optimization. European Safety and Reliability (ESREL) Conference, Portoroz, Slovenia.

Oruganti, A., Sun, F., Baroud, H., and Dubey A. 2016. DelyaRadar: A Multivariate Predictive Model for Transit Systems. IEEE Big Data, Washington, DC.

Baroud, H., Francis, R., and Barker, K. 2016. Data-Driven Methods for the Risk Analysis of Global Supply Chains. Proceedings of the 13th International Conference on Probabilistic Safety Assessment & Management, Seoul, Korea.

Whitman, M., Baroud, H., and Barker, K. 2015. Multi-Criteria Inoperability Analysis of Commodity-Specific Dock Disruptions at an Inland Waterway Port. Proceedings of the 2015 IEEE Systems and Information Engineering Design Symposium, Charlottesville, VA.

Floyd, M., Baroud, H., and Barker, K. 2014. Empirical Analysis of Bayesian Kernel Methods for Modeling Count Data. Proceedings of the 2014 IEEE Systems and Information Engineering Design Symposium, Charlottesville, VA.

Baroud, H. and Barker, K. 2014. Bayesian Kernel Methods for Critical Infrastructure Resilience Modeling. Proceedings of ASCE ICVRAM and ISUMA, Liverpool, UK.

Baroud, H., Ramirez-Marquez, J.E., Barker, K., and Rocco, C.M. 2013. Modeling Resilience in Infrastructure Networks: Inherent Costs and Interdependent Impacts. Proceedings of ICOSSAR, New York, NY.

Baroud, H., Barker, K., Lurvey, R., and MacKenzie, C.A. 2013. Bayesian Kernel Models for Disruptive Event Data. Proceedings of ISERC, San Juan, Puerto Rico. Best Paper Award in the Homeland Security Track.

MacKenzie, C.A., Baroud, H., and Barker, K. 2012. Optimal Resource Allocation for Recovery of Interdependent Systems: Case Study of the Deepwater Horizon Oil Spill. Proceedings of ISERC, Orlando, FL. Best Paper Award in the Homeland Security Track.

Baroud, H. and Freeland, K. 2010. A simple integer-valued AR(p) model. ASA proceedings, Joint Statistical Meetings, Vancouver, B.C.