Research output per year
Research output per year
Personal profile
Research interests
Dr. Elnabwy’s research is multidisciplinary, spanning construction management, infrastructure engineering and environmental systems. His research interests focus on applied, data-driven engineering approaches, particularly the integration of artificial intelligence and sustainability frameworks to enhance construction and infrastructure performance and resilience. His main research areas are:
- Artificial Intelligence Applications in Construction and Infrastructure Management
- Circular Economy and Construction Waste Management
- Smart Infrastructure and Structural Health Monitoring
- Infrastructure Resilience to Climate Change
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Research output
- 22 Article
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Coastal Road Resilience in Nile Delta, Egypt: A Comprehensive Multihazard Risk Assessment
Sahlo, D. G., Elbeltagi, E., El-Badawy, S. M., Motawa, I. & Elnabwy, M. T., 1 Feb 2026, In: Natural Hazards Review. 27, 1, 21 p., 04025078.Research output: Contribution to journal › Article › peer-review
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Integrated Ensemble Learning for Enhanced Accuracy in Satellite-Derived Bathymetry of Shallow Coastal Zones
Elnabwy, M. T., Kaloop, M. R., Ahmad, F., El-Diasty, M., Hu, J. W., Samui, P., ElGharbawi, T. & Zarzoura, F., 1 Jan 2026, In: Journal of the Indian Society of Remote Sensing. 54, 1, p. 289-306 18 p.Research output: Contribution to journal › Article › peer-review
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Modeling regional mean sea level based on climate measurements using a stacked ensemble approach
Elnabwy, M. T., Kaloop, M. R., Elbeltagi, E. & Hu, J. W., 19 Feb 2026, In: Environmental Monitoring and Assessment. 198, 2, 19 p., 147.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
An integrated ISM-MICMAC approach to identify and prioritize civil engineering-related hazards: a case study in Egypt
Elkholy, A. M., Elshikh, M. M. Y., Elaidi, A. A. & Elnabwy, M. T., 2 Jul 2025, (E-pub ahead of print) In: Construction Innovation. 28 p.Research output: Contribution to journal › Article › peer-review
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An integrated machine learning approach for evaluating critical success factors influencing project portfolio management adoption in the construction industry
Elnabwy, M. T., Khalaf, D., Mlybari, E. A. & Elbeltagi, E., 25 Nov 2025, In: Engineering, Construction and Architectural Management. 32, 11, p. 7449–7468 20 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus)