Al-Juboori, Muqdad, and Datta, Bithin (2019) Minimum cost design of hydraulic water retaining structure by using coupled simulation optimization approach. KSCE Journal of Civil Engineering, 23 (3). pp. 1095-1107.

Al-Juboori, Muqdad, and Datta, Bithin (2019) Optimum design of hydraulic water retaining structures incorporating uncertainty in estimating heterogeneous hydraulic conductivity utilizing stochastic ensemble surrogate models within a multi-objective multi-realisation optimisation model. Journal of Computational Design and Engineering, 6 (3). pp. 296-315.

Al-Juboori, Muqdad, and Datta, Bithin (2019) Performance evaluation of a genetic algorithm-based linked simulation-optimization model for optimal hydraulic seepage-related design of concrete gravity dams. Journal of Applied Water Engineering and Research, 7 (3). pp. 173-197.

Al-Juboori, Muqdad, and Datta, Bithin (2018) Linked simulation-optimization model for optimum hydraulic design of water retaining structures constructed on permeable soils. International Journal of GEOMATE, 14 (44). pp. 39-46.

Al-Juboori, Muqdad Raoof Kareem (2018) Seepage criteria based optimal design of water retaining structures with reliability quantification utilizing surrogate model linked simulation-optimization approach. PhD thesis, James Cook University.

Al-Juboori, Muqdad, and Datta, Bithin (2017) Artificial neural network modeling and genetic algorithm based optimization of hydraulic design related to seepage under concrete gravity dams on permeable soils. In: Proceedings of the 19th International Conference on Environmental and Water Resources Engineering. pp. 77-83. From: ICEWRE 2017: 19th International Conference on Environmental and Water Resources Engineering, 2-3 February 2017, Melbourne, VIC, Australia.

Al-Juboori, Muqdad, and Datta, Bithin (2017) Influence of hydraulic conductivity and its anisotropy ratio on the optimum hydraulic design of water retaining structures founded on permeable soils. In: Proceedings of the 13th Hydraulics in Water Engineering Conference. From: 13th Hydraulics in Water Engineering Conference, 13-16 November 2017, Sydney, NSW, Australia.