Skip to main content
Image

Academic

Dr.

Abdullah Alsumaiei

Associate Professor

Office Location:
S03-E2-212

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

Groundwater Hydrology and Modeling - Integrated Water Resources Planning and Management (IWRPM) - Atoll Islands Hydrology - Sub-Surface Freshwater Lens Dynamics- Climate Change Impact on Water Resources

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

Academic Experience
Institution Designation Year/Period
Kuwait University

Assistant Professor

Associate Professor

2017 - 2023

2023-present

Kuwait University Scholarship Mission Member 2012 - 2017

 

Industry Experience
Organization Designation Year/Period
Experts Department - Ministry of Justice Assistant Engineering Expert 2011 - 2012
Ministry of Public Works Junior Site Engineer 2010 - 2011

 

Other

Director of Center of Engineering Laboratoires for testing & collaboration (CELTIC), College of Engineering and Petroleum (2023-2025)