
Academic
Abdullah Alsumaiei
Associate Professor
Education
Degree | Discipline | Institution | Year |
---|---|---|---|
Ph.D | Civil Engineering (Water Resources) | Colorado State University, Fort Collins, CO, USA | 2017 |
M.C.E | Civil Engineering (Water Resources) | North Carolina State University, Raleigh, NC, USA | 2014 |
B.Sc | Civil Engineering | Kuwait University, State of Kuwait | 2010 |
Research Interests
Selected Publications
-
Elbeltagi, A., Alsumaiei, A. A., Raza, A., Al-Mukhtar, M., & Heddam, S. (2025). Integration of MRMR algorithm with advanced neural networks for modeling long-term crop water demand in agricultural basins. Applied Water Science, 15(8), 1–22.
-
Alsumaiei, A. A. (2025). Hybrid residual modeling of pan evaporation in hyper-arid climates: Benchmarking interpretable neural architectures against physical drivers. Journal of Hydrology: Regional Studies, 60, 102572.
-
Alsumaiei, A. A. (2025). Developing interpretable pan evaporation forecasting models for Wafra Agricultural Basin based on optimized decision tree ensembles. ASCE Journal of Hydrologic Engineering. (In press)
-
Alsumaiei, A. A. (2025). Regulating irrigation water supply in arid agricultural basins using a computational machine-learning framework for forecasting vapor pressure deficit. ASCE Journal of Irrigation and Drainage Engineering. (In press)
-
Alsumaiei, A. A. (2025). Modeling the onset of drought periods using explainable machine learning models enhanced by Bayesian optimization. Journal of Hydrologic Engineering, 30(4), 04025023.
-
Alsumaiei, A. A. (2025). Closure to “Modeling high pan evaporation losses using support vector machine, Gaussian processes, and regression tree models”. Journal of Hydrologic Engineering, 30(4), 07025006.
-
Alsumaiei, A. A. (2025). Improving evaporative loss forecasts in arid climates by integrating machine learning models with feature selection algorithms. JAWRA Journal of the American Water Resources Association, 61(3), e70025.
-
Alsumaiei, A. A. (2025). Long-term rainfall forecasting in arid climates using artificial intelligence and statistical recurrent models. Journal of Engineering Research, 13(2), 1594–1602.
-
Alsumaiei, A. A. (2025). Interpretable machine learning framework for managing shallow water table rise in urban aquifers. Hydrology Research, 56(5), 397–418.
-
Alkandari, A. H., & Alsumaiei, A. A. (2025). Numerical modelling of groundwater flow in an urban aquifer under extensive artificial recharge forcings. Hydrological Processes, 39(3), e70100.
-
Alsumaiei, A. A. (2024). Hybrid drought forecasting framework for water‐scarce regions based on support vector machine and precipitation index. Hydrological Processes, 38(12), e70031.
-
Elbeltagi, A., Heddam, S., Katipoğlu, O. M., Alsumaiei, A. A., & Al-Mukhtar, M. (2024). Advanced long-term actual evapotranspiration estimation in humid climates for 1958–2021 based on machine learning models enhanced by the RReliefF algorithm. Journal of Hydrology: Regional Studies, 56, 102043.
-
Alsumaiei, A. A. (2024). Modeling high pan evaporation losses using support vector machine, Gaussian processes, and regression tree models. Journal of Hydrologic Engineering, 29(5), 04024029.
-
Alsumaiei, A. (2021). Short-term forecasting of monthly water consumption in hyper-arid climate using recurrent neural networks. Journal of Engineering Research, 9(3B).
-
Alsumaiei, A. A., & Alrashidi, M. S. (2020). Hydrometeorological drought forecasting in hyper-arid climates using nonlinear autoregressive neural networks. Water, 12(9), 2611.
-
Aldosari, D., Almedeij, J., & Alsumaiei, A. A. (2020). Update of intensity–duration–frequency curves for Kuwait due to extreme flash floods. Environmental and Ecological Statistics, 27(3), 491–507.
-
Almousawi, D., Almedeij, J., & Alsumaiei, A. A. (2020). Impact of urbanization on desert flash flood generation. Arabian Journal of Geosciences, 13(12), 441.
-
Alsumaiei, A. A. (2020). Utility of artificial neural networks in modeling pan evaporation in hyper-arid climates. Water, 12(5), 1508.
-
Alsumaiei, A. A. (2020). A nonlinear autoregressive modeling approach for forecasting groundwater level fluctuation in urban aquifers. Water, 12(3), 820.
-
Alsumaiei, A. A. (2020). Monitoring hydrometeorological droughts using a simplified precipitation index. Climate, 8(2), 19.
-
Alsumaiei, A. A., & Bailey, R. T. (2018). Quantifying threats to groundwater resources in the Republic of Maldives Part I: Future rainfall patterns and sea‐level rise. Hydrological Processes, 32(9), 1137–1153.
-
Alsumaiei, A. A., & Bailey, R. T. (2018). Quantifying threats to groundwater resources in the Republic of Maldives Part II: Recovery from tsunami marine overwash events. Hydrological Processes, 32(9), 1154–1165.
Work Experience
Institution | Designation | Year/Period |
---|---|---|
Kuwait University |
Assistant Professor Associate Professor |
2017 - 2023 2023-present |
Kuwait University | Scholarship Mission Member | 2012 - 2017 |
Organization | Designation | Year/Period |
---|---|---|
Experts Department - Ministry of Justice | Assistant Engineering Expert | 2011 - 2012 |
Ministry of Public Works | Junior Site Engineer | 2010 - 2011 |
Director of Center of Engineering Laboratoires for testing & collaboration (CELTIC), College of Engineering and Petroleum (2023-2025)