M. Tech. (Structural Engineering) from MNNIT Allahabad, Prayagraj.
B.E. (Civil Engineering) from Assam Engineering College, Guwahati¬¬.
Experience
1.6 Years of Industrial Experience
3.7 Years of Teaching Experience
Worked at
Bridge & Roof Co. (India) Ltd. from Nov 2010 to June 2012
National Institute of Technology Mizoram from Aug 2021 to Aug 2023
Barak Valley Engineering College, Assam from Aug 2023 to May 2025
Career Highlights & Awards:
Member of Institution of Engineers (India).
Reviewer of Journal of Building Engineering, Elsevier.
GATE-2013 Qualified (AIR 1079).
Publication and Books
S. Das & S. Choudhury. Influence of effective stiffness on the performance of RC frame buildings designed using displacement-based method and evaluation of column effective stiffness using ANN. Engineering Structures, 197 (2019), 109354. https://doi.org/ 10.1016/j.engstruct.2019.109354.
S. Das & S. Choudhury. Evaluation of effective stiffness of RC column sections by support vector regression approach. Neural Computing & Applications (2020), 32, 6997–7007. https://doi.org/10.1007/s00521-019-04190-0.
S. Das, I. Mansouri, S. Choudhury, A.H. Gandomi, J.W. Hu. A Prediction Model for the Calculation of Effective Stiffness Ratios of Reinforced Concrete Columns. Materials (2021), 14, 1792. https://doi.org/10.3390/ma14071792.
S. C. Sapkota, P. Saha, S. Das, L. V. P. Meesaraganda. Prediction of the Compressive Strength of Normal Concrete using Ensemble Machine Learning Approach. Asian Journal of Civil Engineering (2024), 25, 583-596.
S. C. Sapkota, S. Das, P. Saha. Optimized Machine Learning Models for Prediction of Effective Stiffness of Rectangular Reinforced Concrete Column Sections. Structures (2024), 62, 106155.
P. Saha, S. C. Sapkota, S. Das, N. Kwatra. Prediction of Fresh and Hardened Properties of Self-Compacting Concrete using Ensemble Soft Learning Techniques. Multiscale and Multidisciplinary Modeling, Experiments and Design (2024). https://doi.org/10.1007/s41939-024-00423-5.
E. A. Mazumder, S. C. Sapkota, S. Das, P. Saha, P. Samui. A Generalised Interpretable Approach to Predict the Hardened Properties of Self-Compacting Geopolymer Concrete Using Machine Learning Techniques. Computers and Concrete, Vol. 34, No. 3 (2024) 279-296.
P. Saha, S. C. Sapkota, S. Das. Prediction of Strength and Failure Modes in Reinforced Concrete Beam-Column Joints using Ensemble Machine Learning Techniques. Structural Engineering International (2024), DOI: 10.1080/10168664.2024.2403593.
M. Adamu, S. C. Sapkota, S. Das, P. Saha, Y. E. Ibrahim. An explainable boosting-based ensemble machine learning model for predicting the properties of date palm fiber reinforced concrete. Sustainable Chemistry and Pharmacy, 44 (2025). DOI: 10.1016/j.scp.2025.101949.
A. Ray, G C. Atul, S. C. Sapkota, P. Saha, S. Das, R. Rai, M. Khandelwal. Stability analysis and prediction of Bimslope failures using numerical modelling and hybrid meta‑heuristic models. Natural Hazards (2025). https://doi.org/10.1007/s11069-025-07164-9.
A. Saha, SC Sapkota, P Saha, P Debnath, S Hazari, S Das, P Samui. Prediction of bearing capacity of geogrid-reinforced sand over stone columns in soft clay. Proceedings of the Institution of Civil Engineers – Ground Improvement, https://doi.org/10.1680/jgrim.24.00032.
