• praisys@lehigh.edu


Journal Papers

Conference Proceedings

  • Sicong Kuang, Brian D. Davison. Class-specific word embedding through linear compositionality, Proceedings of the IEEE International Conference on Big Data and Smart Computing (BigComp), January 15-18, 2018, Shanghai, China.
    This paper expands the work presented on MAISoN'17, presenting a general framework consisting of neural networks for text classification tasks followed by evaluations and discussions.

  • Diana Mitsova, Alberto J. Lamadrid, Ann-Margaret Esnard, Alka Sapat, Yanmei Li. Framework for criticality assessment of infrastructure interdependencies to support planning for community readiness. 2017.

  • Aman Karamlou, Liyang Ma, Wenjuan Sun, Paolo Bocchini. Generalized probabilistic restoration prediction, ICOSSAR 2017, 12th International Conference on Structural Safety & Reliability, 6-10 August, 2017, Vienna, Austria, pp.3249-3258.
    This conference paper expands the simulation-based technique (Karamlou and Bocchini 2017) to compute the probabilistic characteristics of the functionality for a damaged substation and a group of damaged bridge structures at component-level.

  • Diana Mitsova, Alka Sapat, Ann-Margeret Esnard, Alberto J. Lamadrid. Using expert judgment to understand the impacts of critical infrastructure interdependencies on the delivery of vital community services, 42nd Annual Natural Hazards Research and Applications Workshop, July 9–12, 2017, Broomfield, Colorado.
    This conference paper presents the results from expert survey on infrastructure interdependencies based on expert experiences from past disasters, such as Hurricane Sandy and Hurricane Mathew.

  • Sicong Kuang, Brian D. Davison. Class-specific word embedding through linear compositionality, International Workshop on Mining Actionable Insights from Social Networks (MAISoN'17) , February 6-10, 2017, Cambridge, UK .
    This conference paper applies the linear compossitionality to analyze class-specific word embedding problems.

  • Diana Mitsova, Alka Sapat, Ann-Margeret Esnard. Modeling and path diagrams for understanding critical infrastructure interdependencies and cascading effects from disasters, 42nd Annual Natural Hazards Research and Applications Workshop, Nov 3-6, 2016, Portland, Oregon.
    This conference paper presents models and path diagrams for infrastructure interdependencies and cascading failures from disasters.

  • Francesco Rigato, Mariano Angelo Zanini, Paolo Bocchini. Time-series analysis for the calibration of causative models of spatially distributed infrastructure interdependencies in post-disaster recovery, 1st International Workshop on Resilience, September 20-22, 2016, Torino, Italy.
    This conference paper investigates the functionality interdependencies between power, transportation, and communication systems through time-series analysis of simulated data for post-disaster recovery.

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.