IDENTIFIER:          

ORCID: 0000-0002-7353-3903,                                          Scopus Author ID: 57203461025,

Google Scholar Id: LGDm5hwAAAAJ,    Web of Science ResearcherID: AHB-6189-2022

Journal Articles

SCI-indexed International Journal 

1. Modak, A., Roy, A., and Chakraborty, S. (2026). Reliability analysis of structures by multiple sparse polynomial chaos expansion based adaptive metamodel. Reliability Engineering & System Safety, 265, Part A, 111508. (doi: 10.1016/j.ress.2025.111508)
2. Roy, A., Chatterjee, T., and Adhikari, S. (2024). A physics-informed neural network enhanced importance sampling (PINN-IS) for data-free reliability analysis. Probabilistic Engineering Mechanics, 78, 103701. (doi: 10.1016/j.probengmech.2024.103701)
3. Roy, A., Chakraborty, S. and Adhikari, S. (2024). Seismic reliability analysis of nonlinear structures by active learning-based adaptive sparse Bayesian regressions. International Journal of Non-Linear Mechanics, 104817. (doi: 10.1016/j.ijnonlinmec.2024.104817)
4. Thapa, A., Roy, A., and Chakraborty, S. (2024). Reliability analyses of underground tunnels by an adaptive support vector regression model. Computers and Geotechnics, 172, 106418. (doi: 10.1016/j.compgeo.2024.106418)
5. Thapa, A., Roy, A., and Chakraborty, S. (2024). A comparative study of various metamodeling approaches in tunnel reliability analysis. Probabilistic Engineering Mechanics, 75, 103553. (doi: 10.1016/j.probengmech.2023.103553)
6. Roy, A., and Chakraborty, S. (2024). Seismic Reliability Analysis of Structures by an Adaptive Support Vector Regression based Metamodel. Journal of Earthquake Engineering, 28(6), 1590-1614. (doi: 10.1080/13632469.2023.2242975)
7. Roy, A. and Chakraborty, S. (2023). Support vector machine in structural reliability analysis: a review. Reliability Engineering and System Safety, 233, 109126. (doi: 10.1016/j.ress.2023.109126)
8. Roy, A., Chakraborty, S. and Adhikari, S. (2023). Reliability analysis of structures by active learning enhanced sparse Bayesian regression. Journal of Engineering Mechanics, 149(5), 04023024. (doi: 10.1061/jenmdt.emeng-6964)
9. Thapa, A., Roy, A., and Chakraborty, S. (2022). Reliability Analysis of Underground Tunnel by A Novel Adaptive Kriging Based Metamodeling Approach. Probabilistic Engineering Mechanics, 70, 103351. (doi: 10.1016/j.probengmech.2022.103351)
10. Roy, A., and Chakraborty, S. (2022). Reliability analysis of structures by a three-stage sequential sampling based adaptive support vector regression model. Reliability Engineering and System Safety 219, 108260. (doi: 10.1016/j.ress.2021.108260)
11. Ghosh, S., Roy, A., and Chakraborty, S. (2021). Kriging metamodeling-based Monte Carlo simulation for improved seismic fragility analysis of structures. Journal of Earthquake Engineering, 25(7), 1316-1336. (doi: 10.1080/13632469.2019.1570395)
12. Kabasi, S., Roy, A., and Chakraborty, S. (2021). A generalized moving least square–based response surface method for efficient reliability analysis of structure. Structural and Multidisciplinary Optimization, 63(3), 1085-1097. (doi: 10.1007/s00158-020-02743-9)
13. Kabasi, S., Roy, A., and Chakraborty, S. (2021). Reliability analysis of structures by iterative sequential sampling based response surface. Proceeding of the Institution of Civil Engineers-Structures and Buildings, (doi: 10.1680/jstbu.20.00220) (Early Online Publication)
14. Roy, A., and Chakraborty, S. (2020). Support vector regression based metamodel by sequential adaptive sampling for reliability analysis of structure. Reliability Engineering and System Safety 200, 106948. (doi: 10.1016/j.ress.2020.106948)
15. Roy, A., Manna, R., and Chakraborty, S. (2019). Support vector regression based metamodeling for structural reliability analysis. Probabilistic Engineering Mechanics, 55, 78-89. (doi: 10.1016/j.probengmech.2018.11.001)
16. Ghosh, S., Roy, A., and Chakraborty, S. (2018). Support vector regression based metamodeling for seismic reliability analysis of structures. Applied Mathematical Modelling, 64, 584-602. (doi:  https://doi.org/10.1016/j.apm.2018.07.054)

Scopus-indexed journal

1. Thapa, A., Roy, A., and Chakraborty, S. (2023). Reliability analysis of underground tunnel: an overview. Journal of Structural Engineering, 49(6), 418-430.

Book Chapters

1. Chakraborty S., Roy A., Ghosh S., Ghosh S. (2019). Metamodeling-based reliability analysis of structures under stochastic dynamic loads with special emphasis to earthquake. In: Varde P., Prakash R., Joshi N. (eds) Risk Based Technologies. Springer, Singapore (ISBN 978-981-13-5795-4, eISBN 978-981-13-5796-1) pp. 279-297. (doi: 10.1007/978-981-13-5796-1_15)

Conference Proceedings

1. Thapa, A., Roy, A., and Chakraborty, S. (2023, December). Adaptive Kriging Metamodel with Error Stability-Based Stopping Criterion for Reliability Analysis of Underground Tunnel. In Structural Engineering Convention (pp. 329-337). Singapore: Springer Nature Singapore. (doi: 10.1007/978-981-97-6603-1_31) [Scopus]
2. Thapa, A., Roy, A., and Chakraborty, S. Adaptive kriging metamodel based reliability analysis of tunnel, In Proceeding of the 5th National Conference on Reliability and Safety (NCRS-2022), Indian Institute of Technology Madras, March 10-12, 2022, Chennai, India. (doi: 10.1007/978-981-99-5049-2_2) [Scopus]
3. Roy, R., Roy, A., and Chakraborty, S. Deep Neural Network for Time Dependent Reliability Analysis of Structures, In Proceeding of the 5th National Conference on Reliability and Safety (NCRS-2022), Indian Institute of Technology Madras, March 10-12, 2022, Chennai, India. (doi: 10.1007/978-981-99-5049-2_6)  [Scopus]
4. Roy, A., and Chakraborty, S. Sequential sampling for reliability analysis of structures by support vector regression based metamodel. In Proceeding of ICRACEM 2020 1^st Online International Conference on Recent Advances in Computational and Experimental Mechanics Indian Institute of Technology Kharagpur, September 4-6, 2020, Kharagpur, India. (Presented)
5. Roy, A., Kabasi, S. and Chakraborty, S. Iterative sequential sampling based response surface method for reliability analysis of structures, In Proceeding of the 2^nd ASCE India Conf.  on “Challenges of Resilient and Sustainable Infrastructure Development in Emerging Economies” (CRSIDE2020), March 2-4, 2020, Kolkata, India. (Presented)
6. Roy, A., and Chakraborty, S. Improved adaptive response surface method for reliability analysis of structures. In Proceeding of the 4th International Conference on Reliability, Safety and Hazard (ICRESH-2019), Indian Institute of Technology Madras, January 10-13, 2019, Chennai, India. (doi: 10.1007/978-981-13-9008-1_29) [Scopus] (Presented)
7. Roy, A., and Chakraborty, S. Improved support vector regression based metamodel for reliability analysis of structure. In Proceeding of the 29th European Safety and Reliability Conference, Leibniz Universität Hannover, September 22-26, 2019, Hannover, Germany. (doi: 10.3850/978-981-11-0745-0_0460-cd) [Scopus]
8. Roy, A., and Chakraborty, S. Reliability analysis of structures through ensembles of metamodels. In Proceeding of the 11th Structural Engineering Convention, Jadavpur University, December 19-21, 2018, Kolkata, India. (Presented)

REVIEWER

• Reliability Engineering & System Safety
•  Structural Safety
• Probabilistic Engineering Mechanics

INVITED TALK

28 April 2023       “Support Vector Regression-based Digital Twin of Structures for Reliability Analysis” - Smart Infrastructure Monthly Seminar at the University of Glasgow, Glasgow, UK.

SPECIAL COURES

2020     Deep Learning - NPTEL Online course by Indian Institute of Technology Kharagpur, India.         

2017     Risk-based Damaged Tolerant Seismic Design of Structure: A New Paradigm – GIAN course at Indian Institute of Technology Guwahati, India.

AWARDS AND ACHIEVEMENTS

2018     Best paper award in the student category (honorary mention) at the 4th International Conference on Reliability, Safety and Hazard (ICRESH-2019), Chennai, India.           

2017     Institute Fellowship for pursuing Ph.D.at Indian Institute of Engineering Sciences and Technology, Shibpur, India.

2015     MHRD scholarship for pursuing Master’s degree at Indian Institute of Engineering Sciences and Technology, Shibpur, India.