Dr. Santhanam Raghavan

Assistant Professor

E-mail: raghavans@iiitdm.ac.in | Ph: 044-27476107 | Room No: 310 - N, Laboratory Complex


National Institute of Technology Karnataka



2015 - 2021

National Institute of Technology Karnataka


M. Tech - Computer Science and Engineering

2012 - 2015

SASTRA University


B. Tech - Computer Science and Engineering

2008 - 2012

Research Interests

  1. Cloud Computing, Membrane Computing, Machine Learning

Work Experience


  1. June 2021 - February 2022 in VIT Vellore

  2. March 2022 - Till Date in IIITDM Kancheepuram


  1. Operating System, Data Structures

Journal Publications

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

Conference Publications

  1. Paras Bhagtya, S Raghavan and K Chandrasekaran and Usha D., "Workload Classification in Multi-VM Cloud Environment Using Deep Neural Network Model", 36th ACM/SIGAPP Symposium On Applied Computing (SAC 21), Gwangju, Korea, 2021, DOI: 10.1145/3412841.3442068, ACM.

  2. Parth Sahu, S Raghavan and K Chandrasekaran and Usha D., "TimeAware Online QoS Prediction using LSTM and Non-Negative Matrix Factorization", International Conference on Sustainable Computing and Intelligent Systems, 2021, DOI: 10.1007/978981162248935, Springer.

  3. S. Raghavan, and K. Chandrasekaran, "Tools and Simulators for Membrane Computing- A literature Review.", 11th International Conference on Bio-Inspired Computing: Theories and Applications, In pp. 249-277, Springer, Singapore, 2016.DOI: 10.1007/978-981-10-3611-823, Springer.

  4. S. Raghavan, and K Chandrasekaran, "Enzymatic Numerical P System for Improved Analytical Hierarchy Process", 6 th Asian Conference on Membrane Computing (ACMC 2017), Chengdu, China, 2017.

  5. S. Raghavan, P. Sarwesh, C. Marimuthu, and K Chandrasekaran, "Bat algorithm for scheduling workflow applications in cloud.", International Conference on Electronic Design, Computer Networks and Automated Verification (EDCAV), pp. 139-144, 2015, DOI: 10.1109/EDCAV.2015.7060555. 7, IEEE.


  1. One - Published

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