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Dr. Rahul Biswas

Designation: Assistant Professor

Email :

Mobile : +91 8617821340

Contact Address :

Department of Civil Engineering
National Institute of Technology Sikkim
Barfung Block, Ravangla Sub-Division
South Sikkim - 737 139


4 Year Research Experience
1.5 Year Teaching Experience


Structural Dynamics
Structural Analysis III
Mechanics of Solid


PhD from NIT Patna
M.Tech from NIT Patna

Areas of Interest

Concrete Technology
Structural Analysis
Construction Material

Publications & Extras

List Of Publications (National/International):

1. Biswas, R., & Rai, B. (2019). Efficiency Concepts and Models that Evaluates the Strength of Concretes Containing Different Supplementary Cementitious Materials. Civil Engineering Journal Tehran, 5(1), 18-32(Published) [ESCI/Web of Science]
2. Biswas, R., Samui, P. & Rai, B., Determination of compressive strength using relevance vector machine and emotional neural network, Asian Journal of Civil Engineering (2019) 20: 1109. (Published) [Scopus /Springer ]
3. Biswas, R., Samui, P, Roy, S.S & Rai, B. (2019). Estimating Concrete Compressive Strength Using Multivariate Adaptive Regression Splines, Least Squares Support Vector Machine and Genetic Programming. Engineering Journal. (Published) [Scopus ]
4. Biswas, R., & Rai, B. Effect of Cementing Efficiency Factor on the Mechanical Properties of Concrete Incorporating Silica Fume. Journal of Structural Integrity and Maintenance, DOI: 10.1080/24705314.2020.1765269 (Published) [Scopus ]
5. Biswas, R., Kumar, S, Rai, B., Samui, P. & Kim, D. Prediction of Rapid Chloride Permeability of Self Compacting Concrete Using Multivariate Adaptive Regression Spline and Minimax Probability Machine Regression Technique. Journal of Building Engineering. (Published) [SCI ]
6. Biswas, R., Rai, B. & Samui, P. (2021). Compressive strength prediction model of high-strength concrete with silica fume by destructive and non- destructive technique, Innovative Infrastructure Solutions. 10.1007/s41062-020-00447-z. [SCOPUS]
7. Biswas, R., Bardhan, A., Samui, P., Rai, B., & Nayak, S., (2021). Efficient Smart Soft Computing Techniques for the Prediction of Compressive Strength of Geopolymer Concrete using GP, RVM and GPR. Computers and Concrete. (SCI) (Accepted)