• praisys@lehigh.edu

Publications

Journal Papers

  • Sicong Kuang, Brian D. Davison. Learning Class-specific Word Embeddings. Journal of Supercomputing, 2018, under review.

  • Wenjuan Sun, Paolo Bocchini, Brian D. Davison. Generalized simulation model to estimate the impact of interdependencies in functionality recovery. Journal of Infrastructure Systems, 2018, under review.

  • Liyang Ma, Paolo Bocchini. Hysteretic model of single-bolted angle connections for lattice steel towers. Journal of Engineering Mechanics, 2019, accepted.

  • Diana Mitsova. Supporting natural hazards management with geospatial technologies. Oxford Research Encyclopedia of Natural Hazard Science, 2019; doi:10.1093/acrefore/9780199389407.013.283.
    This study illustrates the importance and great benefits of applying geospatial technologies in disaster management under different types of natural hazards.

  • Diana Mitsova, M. Escaleras, Ann-Margaret Esnard, Alka Sapat, Alberto, Lamadrid. The effects of infrastructure service disruptions and socio-economic vulnerability on hurricane recovery. Sustainability, 2019, 11(2), 516-532; DOI:10.3390/su11020516 (Special issue on Natural Disasters and Economics).
    By analyzing a cross-sectional survey of 989 households in central and south Florida, this study examines the effects of Hurricane Irma on post-disaster recovery eight months after the landfall.

  • Kwami Senam Sedzro, Luis Zuluaga, X. Shi, Alberto J. Lamadrid. A heuristic approach to the post-disturbance and stochastic pre-disturbance microgrid formation problem. IEEE Transactions on Smart Grid, 2018, DOI: 10.1109/TSG.2018.2887088.
    This study proposes an approach to approximately solve the post-disturbance microgrid formation problem for medium to large and more realistic instances.

  • Diana Mitsova, Ann-Margaret Esnard, Alka Sapat, Betty S. Lai. Socioeconomic vulnerability and electric power restoration timelines in Florida: the case of Hurricane Irma. Natural Hazards, 2018, DOI: 10.1007/s11069-018-3413-x.
    This study analyzes the power outage data in Florida State in Hurricane Irma. It invesitgates how urban and rural counties, as well as socioeconomic vulnerability impact the outage duration and recovery rate. Research findings from this study can support decision-makers to develop efficient plans and policies while considering socioeconomic vulnerability.

  • Diana Mitsova. Integrative Interdisciplinary Approaches to Critical Infrastructure Interdependency Analysis. Risk Analysis, 2018, DOI: 10.1111/risa.13129.
    This study uses three interdisciplinary approaches to assess the infrastructure interdependencies: (a) integrating engineering models and social science research, (b) engaging communities in participative and collaborative forms of social learning and problem solving using simulation models, and (c) developing interactive simulations where IT systems and humans act as “peers” leveraging the capacity of distributed networked platforms and human-in-the-loop architectures. This study helps to address potential future inquiries of interdisciplinary research in the critical infrastructure protection.

  • Diana Mitsova. Supporting Natural Hazards Management with Geospatial Technologies. Natural Hazard Science, 2018, DOI: 10.1093/acrefore/9780199389407.013.283.
    This article discusses possible applications of using geographic information systems (GIS) techniques to support efficient disaster management.

  • Alka Sapat. Lost in Translation? Integrating Interdisciplinary Disaster Research with Policy Praxis. Risk Analysis, 2018, DOI: 10.1111/risa.13198.
    This study argues the importance of effective integration of policy praxis in disastrer research. It also points out epistemological, disciplinary, and attitudinal challenges for transcending disciplinary borders, with recommendations to overcome challenges.

  • Wenjuan Sun, Paolo Bocchini, Brian D. Davison. Resilience metrics and measurement methods for transportation infrastructure: the state of the art. Sustainable and Resilient Infrastructure, 2018, DOI: 10.1080/23789689.2018.1448663.
    This paper presents a comprehensive review of metrics and analysis methods for assessing the resilience of transportation infrastructure, with discussions on practical application tools and implementation challenges.

  • Kwami Senam Sedzro, Luis Zuluaga, Alberto J. Lamadrid. Allocation of resources using a Microgrid formation approach for resilient electric grids. IEEE Transactions on Power Systems, 2017, 33(3), 2633 - 2643.
    This paper uses a microgrid formation approach to allocate resources to build electric networks with better diaster resilience.

  • Aman Karamlou, Paolo Bocchini. From component damage to system-level probabilistic restoration functions for a damaged bridge. Journal of Infrastructure Systems, 2017, 23(3), 04016042.
    This paper proposes a simulation-based technique to compute the probabilistic characteristics of the functionality for a damaged bridge at component-level. Uncertainties in restoration durations and decision process are considered in the simulation analysis. The proposed methodology is applied to a multispan simply supported (MSSS) steel girder bridge after an earthquake.

  • Aman Karamlou, Paolo Bocchini. Functionality-fragility surfaces. Earthquake Engineering and Structural Dynamics, 2017, 46(10), 1687-1709.
    This paper present a generalized tool named the ‘Functionality‐Fragility Surface’ (FFS), which integrates fragility curves and restoration functions. FFS can evaluate functionality and resilience for damaged structures, infrastructure systems, and communities, in a probablistic manner. This generalized tool allows a rigorous representation to integrate resilience analyses of multiple systems and interdependency assessments within and across systems.

  • Aman Karamlou, Paolo Bocchini. Sequencing algorithm with multiple-input genetic operators: application to disaster resilience. Engineering Structures, 2016, 117(C), 591 - 602.
    This paper presents a novel evolutionary optimization methodology called "Algorithm with Multiple-Input Genetic Operators” (AMIGO) for optimal resilience restoration scheduling independent tasks considering resource and time constraints.

  • Ying Zhang, Lawrence V. Snyder, Ted K. Ralphs, Zhaojie Xue. The competitive facility location problem under disruption risks. Transportation Research Part E: Logistics and Transportation Review, 2016, 93, 453-473.
    This paper investigates a facility location problem incorporating service competition and disruption risks. A new binary bilevel linear programming (BBLP) model is developed to determine the locations for the leader to maximize her market share, under the strongest possible response by the follower.

  • Ying Zhang, Lawrence V. Snyder, Mingyao Qi, Lixin Miao. A heterogeneous reliable location model with risk pooling under supply disruptions. Transportation Research Part B: Methodological, 2016, 83, 151-178.
    This paper investigates a facility location model that considers the disruptions of facilities and the cost savings from the inventory risk-pooling effect and economies of scale.


Conference Proceedings


Book Chapters

  • Diana Mitsova, Ann-Margaret Esnard (2018). Chapter 8. GIS applications in flood hazard modeling; Chapter 10. Infrastructure vulnerability to climate impacts; Chapter 13. Modeling and simulation of critical infrastructure interdependencies to improve climate resilience of urban systems. In: GIS Applications in Climate Adaptation Planning, Routledge.

  • Wenjuan Sun, Paolo Bocchini, Brian D. Davison (2019). Quantitative models for interdependent functionality and recovery of critical infrastructure systems. In: EMI Objective Resilience Manual of Practice, American Society of Civil Engineers.