Dr. Sourav Das

Dr. Sourav Das

About

Specialization:
Structural Engineering

Qualification

Qualification College/Board/ University Year Specialization/ Area of Research
Ph. D. National Institute of Technology Silchar 2021 Performance-Based Seismic Design
M. Tech. Motilal Nehru National Institute of Technology, Allahabad 2015 Structural Engineering
B. E. Assam Engineering College, Guwahati 2010 Civil Engineering

 

Personal Interest

Photography

Working Experience

Teaching Experience:

  • Barak Valley Engineering College, Assam from Aug 2023 to May 2025.
  • National Institute of Technology Mizoram, Aizawl from Aug 2021 to Aug 2023.

Industrial Experience:

  • Bridge and Roof Co. (India) Ltd. (A Govt. of India Enterprise) from Nov 2010 to June 2012.

Research

Publications:

  • Sourav Das & Satyabrata 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.
  • Sourav Das & Satyabrata 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.

Awards & Achievements

GATE 2013 (AIR 1079)