Krishna Kumar 
- (2024): Explainable AI models for predicting liquefaction-induced lateral spreading. Dans: Frontiers in Built Environment, v. 10 (février 2024).
- (2023): Development of a Reliable Machine Learning Model to Predict Compressive Strength of FRP-Confined Concrete Cylinders. Dans: Buildings, v. 13, n. 4 (24 mars 2023).
- (2023): Durability behaviour of high-volume fly ash self-compacting recycled aggregate concrete. Dans: Proceedings of the Institution of Civil Engineers - Engineering Sustainability, v. 176, n. 3 (juin 2023).
- (2022): Axial Capacity of FRP-Reinforced Concrete Columns: Computational Intelligence-Based Prognosis for Sustainable Structures. Dans: Buildings, v. 12, n. 12 (1 décembre 2022).
- (2022): Reliability Analysis of a Complex Pier Against Local Scour. Dans: Journal of The Institution of Engineers (India): Series A, v. 103, n. 4 (9 octobre 2022).
- (2023): Prognosis of compressive strength of fly‐ash‐based geopolymer‐modified sustainable concrete with ML algorithms. Dans: Structural Concrete, v. 24, n. 3 (avril 2023).
- (2017): Briefing: High-performance computing for city-scale modelling and simulations. Dans: Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, v. 170, n. 4 (décembre 2017).
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