Daniel Niruban Subramaniam 
- (2024): Silica fume as a supplementary cementitious material in pervious concrete: prediction of compressive strength through a machine learning approach. In: Asian Journal of Civil Engineering, v. 25, n. 3 (Januar 2024).
- (2023): Effect of aggregate size, aggregate to cement ratio and compaction energy on ultrasonic pulse velocity of pervious concrete: prediction by an analytical model and machine learning techniques. In: Asian Journal of Civil Engineering, v. 25, n. 1 (Juli 2023).
- (2023): Soft computing techniques to predict the electrical resistivity of pervious concrete. In: Asian Journal of Civil Engineering, v. 25, n. 1 (Juli 2023).
- (2023): A mathematical model to predict the porosity and compressive strength of pervious concrete based on the aggregate size, aggregate-to-cement ratio and compaction effort. In: Asian Journal of Civil Engineering, v. 25, n. 1 (Juli 2023).
- (2023): Effects of parameters on vertical porosity distribution in pervious concrete. In: Magazine of Concrete Research, v. 75, n. 7 (April 2023).
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