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-Driven Circular Construction Waste Management for Advancing Sustainable Development, Elnabwy, M., Martinez, P. 15 May 2026, In: Sustainable Development
• 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
• 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
• 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
• Integrating automation into construction waste quantification: A review of digital innovations for sustainable resource management, Haq, M., Mohsen, O., Tharwat, M., Martinez Rodriguez, P. 21 Apr 2026, In: Waste Management and Research
• Modeling regional mean sea level based on climate measurements using a stacked ensemble approach, Elnabwy, M., Kaloop, M., Elbeltagi, E., Hu, J. 19 Feb 2026, In: Environmental Monitoring and Assessment
• Optimising Harbour Construction Projects for Environmental Sustainability: A Hybrid Artificial Intelligence Approach, Elnabwy, M., ElAgroudy, M., Elbeltagi, E., El Banna, M., Mlybari, E., Wefki, H. 23 Feb 2026, In: Sustainability
• Scenario-based material-flow and circularity assessment of deep renovation projects, Elnabwy, M., Doukari, O., Martinez Rodriguez, P. 14 Jul 2026, Proceedings of the 2026 European Conference on Computing in Construction (EC3), European Council on Computing in Construction (EC3)