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Jaisooraj, J, MadhuKumar SD.  2022.  Energy-efficient routing in low power and lossy networks with concurrent overlapping RPL instances. Transactions on Emerging Telecommunications. Technologies, Wiley. (
AbhayNarayanan, N, MadhuKumar SD, AnuMary C.  2022.  A Review of Financial Fraud Detection in E-Commerce using Machine Learning. 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022). , NIT Mizoram: Springer
Athira, AB, MadhuKumar SD, AnuMary C.  2022.  Towards Smart Fake News Detection Through Explainable AI. 7th International Conference on Micro-Electronics, Electromagnetics and Telecommunications(ICMEET - 2022). , Andhra Pradesh, India: Springer
Jose, X, MadhuKumar SD, Chandran P.  2021.  Characterization, Classification and Detection of Fake News in Online Social Media Networks. 2021 IEEE Mysore Sub Section International Conference (MysuruCon). :759-765., Mysore Abstract


Jose, B, MadhuKumar SD, Radharamanan.  2021.  A risk comparison framework for evaluating the impact of telecom cloudification in organizational risk profile. Telecommunication Systems, Springer. :1-17.Website
Jaffar, J, Jaisooraj, MadhuKumar SD.  2020.  Efficient Routing for Low Power Lossy Networks with Multiple Concurrent RPL Instances. International Conference on Paradigms of Computing, Communication and Data Sciences (PCCDS-2020). , NIT Kurukshetra: Springer
Ajwalia, SM, Chacko AM, MadhuKumar SD.  2020.  Integrating Cloud and Health Informatics: Approaches, Applications, and Challenges- Chapter 2. Cloud Security. : CRC press
Jose, B, T RR, MadhuKumar SD.  2019.  A BOCR decision model for telecom cloud strategy election. International Journal of Innovative Technology and Exploring Engineering. 8(6):1788-1796.
Arun, KS, Govindan VK, MadhuKumar SD.  2019.  Enhanced bag of visual words representations for content based image retrieval: a comparative study. Artificial Intelligence Review, Springer.
P, U, Govindan VK, MadhuKumar SD.  2019.  Enhanced sparse representation classifier for text classification. Expert Systems with Applications, Elsevier. 129:260-272.
Pillai, S, T RR, MadhuKumar SD.  2019.  An experiment to improve expert judgment software estimation through work breakdown structure. International Journal of Innovative Technology and Exploring Engineering. 8(7):1914-1920.
V, AK, Jaisooraj, Chandran P, MadhuKumar SD.  2019.  Hybrid-RPL: A Step towards Ensuring Scalable Routing in Internet of Things. International Conference on Advanced Communication and Computational Technology (ICACCT) 2019. , NIT Kurukshtra
Ajwalia, SM, Chacko AM, MadhuKumar SD.  2019.  Integrating Cloud and Health Informatics: Approaches, Applications, and Challenges. 1st International Conference on Machine Learning, Image Processing, Network Security and Data Sciences(MIND 2019), Kurukshetra.
Lee, OT, Sharma V, MadhuKumar SD, Chandran P.  2019.  Modelling Multi-level consistency in Erasure Code Based Storage System. ACM SAC 2019. , Cyprus
Gilesh, MP, Jain S, MadhuKumar SD, Jacob L, Bellur U.  2019.  Opportunistic live migration of virtual machines. International Journal of Concurrency and Computation Practice and Experience, Wiley. 32(5)
Gilesh, MP, MadhuKumar SD, Jacob L.  2019.  Resource Availability-Aware Adaptive Provisioning of Virtual Data Center Networks. International Journal of Network Management, Wiley. 29(2)
Jaisooraj, MadhuKumar SD, Ghosh A.  2019.  Resource Efficient Routing in Internet of Things: Concept, Challenges, and Future Directions. International Journal of Computing and Digital Systems, University of Bahrain.
Lee, OT, GJ A, MadhuKumar SD, Chandran P.  2019.  Storage Node Allocation Methods for Erasure Code-based Cloud Storage Systems. Arabian Journal for Science and Engineering, Springer. (11)
Gilesh, MP, MadhuKumar SD, Jacob L.  2018.  Bounding the Cost of Virtual Machine Migrations for Resource Allocation in Cloud Data Centers, April 2018. ACM SAC Cloud Computing Track. , Pau, France
Howlader, P, Pal KK, MadhuKumar SD, Cuzzocrea A.  2018.  Predicting Facebook-Users’ Personality based on Status and Linguistic Features via Flexible Regression Analysis Techniques, April 2018. ACM SAC 2018 Cognitive Computing Track. , Pau, France
Anu, CM, MadhuKumar SD, Alfredo C.  2018.  Automatic Provenance Capture at Middleware in Big Data Context. Book Chapter in the Book -. Connected Environments for the IoT: Challenges and Solutions. , University of Derby, United Kingdom: Springer Verlag Gmbh, ISBN: 9783319701011
Pratima, HV, Leee OT, MadhuKumar SD, ChandranPriya.  2018.  Improved Epoch expiry and Load handling mechanism for RAPID - The Fast Data update Protocol in Erasure Coded Storage Systems. International Conference on Data Science and Engineering (ICDSE 2018). , Cochin University: IEEE explore
Jain, S, MP G, MadhuKumar SD, Jacob L.  2018.  On the Necessity of Right Optimizations for Live Migration of Virtual Machines. IEEE TENSYMP. , Sydney, Australia: IEEE Explore
Gilesh, MP, Sanjay S, MadhuKumar SD, Lillykutty J.  2018.  Selecting Suitable Virtual Machine Migrations for Optimal Provisioning of Virtual Data Centers. ACM Applied Computing Review. 18(2):22-32.
Akash, GJ, Ojus TL, MadhuKumar SD, ChandranPriya, Alfredo C.  2017.  RAPID: A Fast Data Update Protocol in Erasure Coded Storage Systems for Big Data, May 2017. 2nd IEEE/ACM International Workshop on Distributed Big Data Management (DBDM 2017), In conjunction with IEEE/ACM CCGRID2017. , Madrid, Spain