S Raghavan and K Chandrasekaran, "Membrane-based models for service selection in cloud", Information Sciences, Elsevier, Volume 558, Pages 103-123, 2020, DOI: 10.1016/j.ins.2020.12.015, ISSN: 00200255.
S Raghavan, Shanthanu S. Rai, Rohit M.P. and K Chandrasekaran, "GPUPeP: Parallel Enzymatic Numerical P System simulator with a Python-based interface ", BioSystems, Elsevier, Volume 196, 2020, DOI: 10.1016/j.biosystems.2020.104186, ISSN: 03032647.
S Raghavan, Yashas Gangadhar, Varun Pattar, and K Chandrasekaran, "Multi-ENPS Simulator Support Tool with Automatic File Inter-conversion and Multi-membrane Execution", BioSystems, Elsevier, Volume 189, 2020, DOI: 10.1016/j.biosystems.2019.104067, ISSN: 03032647.
Parth Sahu, S Raghavan, and K Chandrasekaran, "Deep Neural Network based Quality of Service Prediction for Cloud Service Recommendation”, Neurocomputing, Elsevier, Volume 465, Pages 476-489, 2021, DOI: 10.1016/j.neucom.2021.08.110, ISSN: 09252312.
S Raghavan, K Chandrasekaran, ENPS-IPROMETHEE: Enzymatic Numerical P System-based Improved Preference Ranking Organization Method for Enrichment Evaluation, Journal of Membrane Computing, Springer, Issue 4, 107-119 (2022). https://doi.org/10.1007/s41965-022-00099-1.