Publications

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2023
Athira, AB, Kumar SDM, Tiwari, Chacko AM.  2023.  Multimodal Data Fusion Framework For Fake News Detection, Dec 2022. IEEE 19th India Council International Conference (INDICON 2022). , Kochi
Athira, AB, Kumar SDM, Chacko AM.  2023.  A systematic survey on explainable AI applied to fake news detection. Engineering Applications of Artificial Intelligence. (https://doi.org/10.1016/j.engappai.2023.106087)
2021
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

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2020
Ajwalia, SM, Chacko AM, MadhuKumar SD.  2020.  Integrating Cloud and Health Informatics: Approaches, Applications, and Challenges- Chapter 2. Cloud Security. : CRC press
2019
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
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)
2018
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
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
2017
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
Chacko, A, MadhuKumar SD.  2017.  Big data provenance research directions. Region 10 Conference, TENCON 2017-2017 IEEE. :651–656.: IEEE Abstract
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2016
Ojus Thomas, L, MadhuKumar SD, Chandran P.  2016.  Erasure Coded Storage Systems for Cloud Storage - Challenges and Opportunities, August. IEEE International Conference on Data Science and Engineering (ICDSE 2016). , Kochi
Ojus Thomas, L, MadhuKumar SD, Chandran P.  2016.  6. ECSim:A Simulation Tool for Performance Evaluation of Erasure Coded Storage Systems. Symposium on Emerging Topics in Computing and Communications (SETCAC'16). , Jaipur
Shabeera, TP, MadhuKumar SD, Chandran P.  2016.  Curtailing job completion time in MapReduce clouds through improved Virtual Machine allocation. Elsevier- Computers & Electrical Engineering. :-. AbstractWebsite

Abstract Cloud-based MapReduce platforms offer ready to use MapReduce clusters. The problem of allocating Virtual Machines (VMs) carrying out the computation, for minimizing data transfer delay is a crucial one in this context, as the MapReduce tasks are communication intensive. The interaction between \{VMs\} may face varying delays, if the \{VMs\} are hosted in different Physical Machines (PMs). This work aims to optimize the data transfer delay between VMs, which is denoted by the distance between the VMs. We propose an approximation algorithm for \{VM\} allocation in data centers wherein the distances between \{VMs\} satisfy triangular inequality and an optimization algorithm for \{VM\} allocation in data centers where the distances between \{VMs\} do not satisfy triangular inequality. Simulations on CloudSim demonstrate the performance of our algorithms and the results affirm the reduction in job completion time compared to other allocation schemes.

2015
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
2014
Badharudheen, P, MadhuKumar SD, Chacko AM.  2014.  Making an Application Provenance-Aware through UML - A General Scheme, March 2014. SNDS 2014. , Trivandrum, India
Manish Parashar, Umesh Bellur, S.D Madhu Kumar, Priya Chandran, Murali Krishnan, Kamesh Madduri, Sushil K. Prasad, C. Chandra Sekhar, Nanjangud C. Narendra, Carlos Valera, Sanjay Chaudhary, Kavi Arya, Xiaolin Li (Eds.).  2014.  Seventh International Conference on Contemporary Computing, {IC3} 2014, Noida, India, August 7-9, 2014. : {IEEE} Abstract
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2012
Shabeera, TP, Chandran P, Kumar MSD.  2012.  Authenticated and persistent skip graph: a data structure for cloud based data-centric applications. Proceedings of the International Conference on Advances in Computing, Communications and Informatics. :155–160., New York, NY, USA: ACM Abstract
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2011
Chimakurthi, L, MadhuKumar SD, SureshChandraMoharana, Kalyankumar SMMM.  2011.  Power Efficient Resource Allocation for Clouds Using Ant Colony Framework , April 2011. International Conference on Advances in Computing and Communication ICACC-2011. , NIT Hamirpur, India
MadhuKumar, SD, S.M.M.M.KalyanKumar, SureshChandraMoharana, Chimakurthi L.  2011.  A Cloud Based Scheme for Constraint-less Mobile Computing. International Conference on Emerging Technology Trends in Cloud Computing. , Kollam,India
1996
MadhuKumar, SD, Chandran P.  1996.  Windows Based Application Software Developer, July 1996. EDUCOMP' 96 Internatonal Conference on Educational Computing. :178-185., Chandigargh, India