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
• 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
• 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