Mahmoud Ahmad l Water Management Resources | Excellence in Research

Mr. Mahmoud Ahmad l Water Management Resources | Excellence in Research

Széchenyi István University | Hungary

Mr. Mahmoud Ahmad is a PhD student in Civil Engineering at Széchenyi István University with academic and professional expertise in water management resources and civil engineering practice. His education includes a PhD in progress, an MSc in Water and Irrigation Engineering, and a BSc in Civil Engineering, supported by strong academic distinction. His professional experience covers lecturing in water and irrigation engineering at Tishreen University and managing post-earthquake construction projects as a site civil engineer. Mr. Mahmoud Ahmad’s research interests focus on groundwater–surface water interaction, water resources management, and climate-change adaptation, supported by advanced modeling, GIS-based analysis, and recognized academic awards, reflecting strong potential for impactful research and practice.

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Featured Publications

Ali Ali | Artificial Intelligence and water Resources Management | Research Excellence Award

Dr. Ali Ali | Artificial Intelligence and water Resources Management | Research Excellence Award

Brunel University London | United Kingdom

Dr. Ali Ali is an emerging researcher and PhD student in Civil Engineering at Brunel University London, specializing in Artificial Intelligence applications for water resources management. He holds a BEng (Hons) in Civil Engineering from Brunel University and a Diploma with Distinction from Kaplan International College, demonstrating strong academic performance. Dr. Ali has extensive experience with civil engineering and computational software, including AutoCAD, Groundwater Modelling System (GMS), ABAQUS, MATLAB, and programming languages Python and R, enabling advanced modeling, simulation, and data analysis. He has applied his expertise in designing steel and concrete structures while addressing economic, social, and environmental challenges. His professional experience includes multiple Graduate Teaching Assistant roles in Civil Engineering and Computer Science, supporting both undergraduate and master’s students with lab sessions, course material, tutoring, and programming instruction. Additionally, he gained practical industry experience through internships in project management and turbomachinery design, enhancing his skills in project coordination and operational efficiency. Dr. Ali’s research interests focus on optimizing water resources management using AI, sustainable infrastructure design, and hydrological modeling. He has contributed to academic documents, reports, and simulations, with ongoing work aimed at publication in peer-reviewed journals. His work demonstrates a commitment to bridging theoretical research and practical engineering solutions, advancing innovation in civil and environmental engineering.

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Featured Publication

Aquifer-specific flood forecasting using machine learning: A comparative analysis for three distinct sedimentary aquifersScience of the Total Environment, 2025 | Open Access