Publications

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Akash, GJ, Lee OT, MadhuKumar SD, Chandran P, Cuzzocrea A.  2017.  Rapid: A fast data update protocol in erasure coded storage systems for big data. 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID). :890–897.: IEEE Abstract
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Amal, KV, Jaisooraj J, Chandran P, MadhuKumar SD.  2019.  Hybrid-RPL: A step toward ensuring scalable routing in internet of things. International Conference on Advanced Communication and Computational Technology. :583–595.: Springer Nature Singapore Singapore Abstract
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Amritapatole, MadhuKumar SD, Chandran P, Shabeera TP.  2015.  Load-Aware Replica Placement in Multiuser Hadoop Environment Using MST, 8, December. Third edition of the International Conference on Recent Advances in Computational Systems(IEEE RAICS -2015). , Trivandrum Abstract
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Amritapatole, MadhuKumar SD, Chandran P, Shabeera TP.  2015.  Load-aware replica placement in multiuser Hadoop environment using MST. 2015 IEEE Recent Advances in Intelligent Computational Systems (RAICS). :376–381.: IEEE Abstract
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Chandran, P, Kumar MSD.  2019.  Session details: Theme: Distributed systems: CC-Cloud computing track. Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing. Abstract
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Chandran, P, others.  2018.  Secure and dynamic memory management architecture for virtualization technologies in iot devices. Future Internet. 10:119., Number 12: Multidisciplinary Digital Publishing Institute Abstract
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Chandran, P.  2005.  PC Troubleshooting Expert. : NATIONAL INSTITUTE OF TECHNOLOGY CALICUT Abstract
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Chandran, P, Kumar MSD.  2017.  Session details: CC-cloud computing track. Proceedings of the Symposium on Applied Computing. Abstract
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Chandran, P.  2011.  Automatic generation of compiled cycle level microarchitecture simulators for superspeculative processors. Abstract
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Chandran, P, Garg L, Kumar A.  2017.  Multikernel simulation: a new approach to study rollback sensitive memory architecture. 2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC). :437–442.: IEEE Abstract
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Devasia, JV, Chandran P, Soman A, Mathew AE, Jharwal J.  2019.  Graph sparsification with parallelization to optimize the identification of causal genes and dysregulated pathways. Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing. :747–753. Abstract
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Devasia, JV, Chandran P.  2016.  “Who are the key players behind a disease state?”: Outcomes of a new computational approach on cancer data 2016 International Conference on Bioinformatics and Systems Biology (BSB). :1–4.: IEEE Abstract
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Devasia, JV, Chandran P, Shreya G, R A, R A.  2017.  On parallelizing graph theoretical approaches for identifying causal genes and pathways from very large biological networks. Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing. :1–6. Abstract
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Devasia, JV, Chandran P.  2016.  Inferring disease causing genes and their pathways: A mathematical perspective. arXiv preprint arXiv:1611.02538. Abstract
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Devasia, J, Chandran P.  2014.  Towards an Improved Algorithm for Modeling Information Flow in Biological Networks, 2014. ACCIS 2014. , Kollam, Kerala, India Abstract
image/jpeg iconaccis_232_0.jpg

Paper - 10's Abstract
Modeling communications between nodes in large-scale molecular interaction networks as information flows is useful for analyzing relationships between individual network components. Discovering causal genes and dysregulated pathways using network analysis based on information flow models is a very active, current topic of research. Recent research provides cubic order polynomial time solutions to the problem. Considering the huge size of interaction networks, calculating information flows can be costly, even with cubic order algorithms. An improvement to the computing time has been achieved by using the concept of approximation algorithms which are useful in solving large instances of problems requiring numerous resources. Proofs for the approximation factor and implementation results for the proposed algorithm are presented.

Devasia, JV, Chandran P.  2018.  Inferring disease causing genes and their pathways: GpRr method. Journal of computational science. 26:108–117.: Elsevier Abstract
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Devasia, JV, Chandran P.  2014.  Towards an improved algorithm for modeling information flow in biological networks. International Conference on Advances in Computing, Communications, and Information Science. :88–95. Abstract
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Devasia, JV, Chandran P.  2016.  "Who are the key players behind a disease state": Outcomes of a new computational approach on cancer data, March. 2016 International Conference on Bioinformatics and Systems Biology (BSB). :1-4. Abstract

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Devasia, JV, Chandran P.  2019.  Graph pruning based approach for inferring disease causing genes and associated pathways. International Journal of Bioinformatics Research and Applications. 15:359–370., Number 4: Inderscience Publishers (IEL) Abstract
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Ezudheen, P, Chandran P, Chandra J, Simon BP, Ravi D.  2009.  Parallelizing SystemC kernel for fast hardware simulation on SMP machines. 2009 ACM/IEEE/SCS 23rd Workshop on Principles of Advanced and Distributed Simulation. :80–87.: IEEE Abstract
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Ezudheen, P, Chandran P, Chandra J, Simon BP, Ravi D.  2009.  Parallelizing SystemC Kernel for Fast Hardware Simulation on SMP Machines. ACM/IEE/SCS Twentyeighth International Conference on Principles of Advanced and Distributed Simulation, PADS 2009. :80-87., Lake Placid, New York State, USA: ACMWebsite
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Faisal, A, Chandran P.  2021.  GLDraw: A Platform for Graph Visualization. 2021 6th International Conference for Convergence in Technology (I2CT). :1–6.: IEEE Abstract
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Jaisooraj, J, MadhuKumar SD, Chandran P.  2025.  Energy-Efficient Routing in Low Power and Lossy Networks Under Hybrid Mode RPL. 2025 IEEE Region 10 Symposium (TENSYMP). :1–6.: IEEE Abstract
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Jithin, R, Chandran P.  2016.  Dynamic partitioning of physical memory among virtual machines: {ASMI:} architectural support for memory isolation. Proceedings of the 31st Annual {ACM} Symposium on Applied Computing, Pisa, Italy, April 4-8, 2016. :474–476. Abstract
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Jithin, R, Chandran P.  2014.  'Virtual Machine Isolation - A Survey on the Security of Virtual Machines. The Second International Conference on Security in Computer Networks and Distributed Systems (SNDS-2014). , Thiruvananthapuram (Trivandrum), India