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
• 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. 26 Mar 2026, In: Construction Management and Economics
• 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
• Synthetic Residential Building Energy-Consumption Dataset Generation Through Parametric Simulation for Hot–Arid Egypt, Wefki, H., Elbeltagi, E., Elnabwy, M., ElAgroudy, M. 2 Mar 2026, In: Buildings
• 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. 2 Jul 2025, In: Construction Innovation
• An integrated machine learning approach for evaluating critical success factors influencing project portfolio management adoption in the construction industry, Elnabwy, M., Khalaf, D., Mlybari, E., Elbeltagi, E. 25 Nov 2025, In: Engineering, Construction and Architectural Management
• Conceptual prediction of harbor sedimentation quantities using AI approaches to support integrated coastal structures management, Elnabwy, M., Elbeltagi, E., Banna, M., Elsheikh, M., Motawa, I., Hu, J., Kaloop, M. 1 Feb 2025, In: Journal of Ocean Engineering and Science