Ahmed M. Hassan 
- (2024): Predictive modelling of compressive strength of fly ash and ground granulated blast furnace slag based geopolymer concrete using machine learning techniques. Dans: Case Studies in Construction Materials, v. 20 (juillet 2024).
- (2023): Forecasting the Strength Characteristics of Concrete incorporating Waste Foundry Sand using advance machine algorithms including deep learning. Dans: Case Studies in Construction Materials, v. 19 (décembre 2023).
- (2023): Machine learning-driven predictive models for compressive strength of steel fiber reinforced concrete subjected to high temperatures. Dans: Case Studies in Construction Materials, v. 19 (décembre 2023).
- (2022): Condition Prediction for Existing Educational Facilities Using Artificial Neural Networks and Regression Analysis. Dans: Buildings, v. 12, n. 10 (20 septembre 2022).
- (2018): Winkler model for pile seismic analysis considering end constraints effects. Dans: HBRC Journal, v. 14, n. 3 (décembre 2018).
- (2015): Behavior of RC columns retrofitted with CFRP exposed to fire under axial load. Dans: HBRC Journal, v. 11, n. 1 (avril 2015).
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