Our research work can be found in various reputable, peer-reviewed, journals.
Spatial and temporal variations in resilience to tropical cyclones along the United States coastline as determined by the multi-hazard hurricane impact level model
Interpreting the socio-technical interactions within a wind damage–artificial neural network model for community resilience
Update article: Applicability of artificial neural networks to integrate socio0technical drivers of building recovery following extreme wind events
Pilkington, S. F., & Mahmoud, H.,
Validation of Time-Dependent Repair Recovery of the Building Stock following the 2011 Joplin Tornado
Aghababaei, M., Koliou, M., Pilkington, S. F., Mahmoud, H., van de Lindt, J. W., Curtis, A., Smith, S., Ajayakumar, J., Watson, M.
Preliminary Documented Recovery Patterns and Observations from Video Cataloged Data of the 2011 Joplin, Missouri, Tornado
Pilkington, S. F., Curtis, A., Mahmoud, H., van de Lindt, J.W., Smith, S., Ajayakumar, J.
Hindcasting Loss and Evaluating Implications of Track Location for the 2011 Joplin, Missouri Tornado
Pilkington, S. F., Mahmoud, H., van de Lindt, J. W., Koliou, M., and Smith, S.
Minimal building fragility portfolio for damage assessment of communities subjected to Tornadoes
Memari, M., Attary, N., Masoomi, H., Mahmoud, H., van de Lindt, J. W., Pilkington, S. F., & Ameri, M. R.