Dr Mohamed Tharwat

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, digital construction technologies, 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
• Building Information Modeling (BIM) and Digital Construction

• Please visit the Pure Research Information Portal for further information
• AI Adoption Enablers and Institutional Governance for Sustainable Infrastructure Resilience in Smart Cities, Alattyih, W., Elnabwy, M. 24 Sep 2026, In: Sustainability
• AI-Driven Circular Construction Waste Management for Advancing Sustainable Development, Elnabwy, M., Martinez, P. 15 May 2026, In: Sustainable Development
• An integrated BIM framework for schedule-aware construction waste management in building renovation projects, Elnabwy, M., Doukari, O., Martinez Rodriguez, P. 10 Sep 2026, In: Engineering, Construction and Architectural Management
• An integrated ISM-MICMAC approach to identify and prioritize civil engineering-related hazards: a case study in Egypt, Elkholy, A., Elshikh, M., Elaidi, A., Elnabwy, M. 20 Jul 2026, In: Construction Innovation
• Coastal Road Resilience in Nile Delta, Egypt: A Comprehensive Multihazard Risk Assessment, Sahlo, D., Elbeltagi, E., El-Badawy, S., Motawa, I., Elnabwy, M. 1 Feb 2026, In: Natural Hazards Review
• Digital Twin–based operational resilience assessment in Construction Waste Management during building renovation, Elnabwy, M., Doukari, O., Martinez Rodriguez, P. 8 Apr 2026, Proceedings of the 23rd International Conference on Smart and Sustainable Built Environment (SASBE 2026), Cambridge, UK, Academy of International Business
• Enhancing construction site layout planning using hybrid Ant Colony and simulated annealing algorithms, Salah, M., Motawa, I., Elnabwy, M. 4 May 2026, In: Construction Management and Economics
• Evaluating project management office adoption for value-oriented governance in large-scale construction projects, Mlybari, E., Elnabwy, M. 8 Jul 2026, In: Scientific Reports
• Examining the Influence of Organisational Culture on Stakeholder Critical Success Factors in Public Construction Projects Using Structural Equation Modelling, Anyigor, K., Alhiddi, A., Osborne, A., Elnabwy, M. 26 Sep 2026, In: International Journal of Construction Management
• Integrated Ensemble Learning for Enhanced Accuracy in Satellite-Derived Bathymetry of Shallow Coastal Zones, Elnabwy, M., Kaloop, M., Ahmad, F., El-Diasty, M., Hu, J., Samui, P., ElGharbawi, T., Zarzoura, F. 1 Jan 2026, In: Journal of the Indian Society of Remote Sensing