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

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

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