Dr. Mohamed Gad Ahmed Gad is an Associate Professor of Hydrogeology at the Environmental Studies and Research Institute, University of Sadat City, Egypt, and a consultant with Environmental Horizons Co. in Riyadh, Saudi Arabia. He earned his B.Sc. from Tanta University (1999), M.Sc. from Minufiya University (2005), and Ph.D. from the University of Sadat City (2012). With an H-index of 22 and a strong record of publications in international journals such as Water, Heliyon, Scientific Reports, and Environmental Earth Sciences, his research focuses on groundwater and surface water quality, hydrogeochemistry, geochemical modeling, and environmental pollution. He has served as principal investigator and co-investigator on funded projects in Egypt, Saudi Arabia, Algeria, Tunisia, and Yemen, applying advanced tools such as machine learning, remote sensing, and geochemical indices to solve critical water resource challenges. Alongside his academic work, he has managed consultancy projects on wastewater reuse, land degradation, environmental site assessment, and water treatment, bridging research with practical solutions for sustainable resource management. His collaborations with scientists from Europe, North Africa, and the Middle East highlight his interdisciplinary and global outlook, while his supervision of graduate students reflects his commitment to mentoring future researchers. Dr. Gad also contributes to the scientific community as an editorial board member for Irrigation Science and Discover Water (Springer Nature), Probe – Environmental Science and Technology, and the WebLog Journal of Environmental Sciences. A certified consultant in geology and environmental impact assessment, and a member of professional societies including the Egyptian Geological Society, he continues to advance research and practice in hydrogeology and environmental sciences.
Featured Publications
Gad M.*, El Osta M., Masoud M., Alqarawy A., Elsayed S., Groundwater suitability for drinking and irrigation using water quality indices and multivariate modeling in Makkah Al-Mukarramah Province, Saudi Arabia. Water, 2022, 14(3), 1–23.
Ibrahim H., Yaseen Z.M., Scholz M., Ali M., Gad M.*, Elsayed S., Khadr M., et al., Evaluation and prediction of groundwater quality for irrigation using an integrated water quality indices, machine learning models and GIS approaches: A representative case study. Water, 2023, 15(4), 694–719.
Elsayed S., Hussein H., Moghanm F.S., Khedher K.M., Eid M.H., Gad M.*, Application of irrigation water quality indices and multivariate statistical techniques for surface water quality assessments in the Northern Nile Delta, Egypt. Water, 2020, 12(1), 3300.
Gaagai A., Aouissi H.A., Bencedira S., Hinge G., Athamena A., Haddam S., Gad M.*, Elsherbiny O., Elsayed S., Eid M.H., Ibrahim H., Application of water quality indices, machine learning approaches, and GIS to identify groundwater quality for irrigation purposes: A case study of Sahara Aquifer, Doucen Plain, Algeria. Water, 2023, 15(2), 289–311.
Gad M.*, Saleh A.H., Farouk M., Hussein H., Elsayed S., Appraisal of surface water quality of Nile River using water quality indices, spectral signature and multivariate modeling. Water, 2022, 14(7), 1131.
Eid M.H., Elbagory M., Tamma A.A., Gad M.*, Elsayed S., Hussein H., et al., Evaluation of groundwater quality for irrigation in deep aquifers using multiple graphical and indexing approaches supported with machine learning models and GIS techniques, Souf Valley, Algeria. Water, 2023, 15(1), 182–204.
Masoud M., El Osta M., Alqarawy A., Elsayed S., Gad M.*, Evaluation of groundwater quality for agriculture under different conditions using water quality indices, partial least squares regression models, and GIS approaches. Appl. Water Sci., 2022, 12(10), 244–265.