- (2022): Prediction of Compaction and Strength Properties of Amended Soil Using Machine Learning. Dans: Buildings, v. 12, n. 5 (24 avril 2022).
- (2019): Embodied Energy and CO2 Emissions of Widely Used Building Materials: The Ethiopian Context. Dans: Buildings, v. 9, n. 6 (juin 2019).
- CaPrM: Carbonation prediction model for reinforced concrete using machine learning methods. Dans: Construction and Building Materials, v. 100 (décembre 2015). (2015):
- Neural network based hygrothermal prediction for deterioration risk analysis of surface-protected concrete façade element. Dans: Construction and Building Materials, v. 113 (juin 2016). (2016):
- Significance of chloride penetration controlling parameters in concrete: Ensemble methods. Dans: Construction and Building Materials, v. 139 (mai 2017). (2017):
- Machine learning for durability and service-life assessment of reinforced concrete structures: Recent advances and future directions. Dans: Automation in Construction, v. 77 (mai 2017). (2017):
- (2018): Suitability Investigation of Recycled Concrete Aggregates for Concrete Production: An Experimental Case Study. Dans: Advances in Civil Engineering, v. 2018 ( 2018).