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May Haggag

  • Position: Assistant Professor
  • Department: Department of Construction
Brief Biography

May Haggag is an assistant professor in the Construction Engineering Department at The American University in Cairo (AUC). Haggag received her BSc and MSc degrees from AUC in 2011 and 2016, respectively. She received Engineer Bahgat Hassanein Award in Construction Engineering at AUC in 2011 and the Best Student Paper Award at the World Symposium on Civil Engineering in 2016. Haggag obtained her PhD from McMaster University in 2021. Her PhD research focused on disaster risk mitigation and systems resilience, and she was among the only five University-wide awardees of the 2017 Ontario Trillium Scholarship. She received the Best Paper Award in the Objective Resilience Competition at the American Society of Civil Engineers’ Engineering Mechanics Institute Conference in 2018 and 2019. Prior to joining AUC, Haggag worked as a postdoctoral research fellow in the Civil Engineering Department at the McMaster University, where she worked on various research projects which focus on building sustainability and resilience under different hazards and risks. Together with her academic work, Haggag worked as a data analyst in Co-operators group limited in Canada, where she analyzed big data to assess structure fire risk in residential buildings using machine learning techniques. She also worked in various consultancy firms in Egypt, including Dar El Handasah Shair and Partners and Muharram Bakhoum.

Research Interest
  • Disaster Risk Reduction 
  • Infrastructure System Resilience
  • Structural Engineering
  • Structural Mechanics 
  • Reinforced Concrete Design
  • Structural System Performance Assessment and Prediction
  • Advanced Material Performance Assessment and Prediction
  • Finite Element Modelling and Analysis
  • PhD: McMaster University (2021)
  • MSc: The American University in Cairo (2016)
  • BSc: The American University in Cairo (2011)

  • Haggag, M., Rezk, E., & El-Dakhakhni, W. (In Press). Machine Learning Prediction of Climate-Induced Disaster Injuries. Natural Hazards.

  • Haggag, M., Yosri, A., El-Dakhakhni, W., & Hassini, E. (2022). Interpretable data-driven model for Climate-Induced Disaster damage prediction: The first step in community resilience planning. International Journal of Disaster Risk Reduction, 73, 102884.

  • AbdelAleem, B. H., Ismail, M. K., Haggag, M., El-Dakhakhni, W., & Hassan, A. A. (2022). Interpretable soft computing predictions of elastic shear buckling in tapered steel plate girders. Thin-Walled Structures, 176, 109313.

  • Haggag, M., Yorsi, A., El-Dakhakhni, W., & Hassini, E. (2021). Infrastructure performance prediction under Climate-Induced Disasters using data analytics. International Journal of Disaster Risk Reduction, 56, 102121.

  • Haggag, M., Siam, A. S., El-Dakhakhni, W. & Hassini, E. (2021). Data Analytics Applications for City Resilience under Climate-Induced Hazards, The Canadian Society of Civil Engineers annual Conference 2021

  • Haggag, M., Siam, A. S., El-Dakhakhni, W., Coulibaly, P., & Hassini, E. (2021). A deep learning model for predicting climate-induced disasters. Natural Hazards, 107(1), 1009-1034.

  • Haggag, M., Ezzeldin, M., El-Dakhakhni, W., & Hassini, E. (2020). Resilient cities critical infrastructure interdependence: a meta-research. Sustainable and Resilient Infrastructure, 1-22.\

  • Haggag, M., Fahmy, E. H., Abdel-Mooty, M., & Safar, S. (2017). Development of Interaction Diagram for Eccentrically Loaded RC Sandwich Walls with Different Design Parameters. In Proceedings of the International Multi Conference of Engineers and Computer Scientists (Vol. 2).

  • Haggag, M., Fahmy, E. H., Abdel-Mooty, M., & Safar, S. (2016) Numerical Investigation of Eccentrically Loaded Reinforced Concrete Sandwich Walls. In Proceedings of the CSCE Annual Conference, Resilient Infrastructure, London, Ontario, 1-4 June, 2016.