ARULMURUGAN A

@srmist.edu.in

ASSISTANT PROFESSOR ,DEPARTMENT OF COMPUTING TECHNOLOGIES
SRM INSTITUTE SCIENCE AND TECHNOLOGY (DEEMED TO BE UNIVERSITY) KATTANKULATHUR CAMPUS,CHENNAI

ARULMURUGAN A


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Arulmurugan, is a Assistant Professor in the Department of Computing Technologies, SRM INSTITUTE SCIENCE AND TECHNOLOGY (DEEMED TO BE UNIVERSITY) in Tamilnadu, India. He completed his under graduate B.E in Pauls Engineering College under Anna University and M.Tech Information Security and Doctor of Philosophy from Pondicherry Engineering College under Pondicherry Central University. He is a member of ISTE and IAENG professional body and he has published more than 20 papers in international journals and conferences. His area of interest includes Wireless Sensor Networks, Data Mining Techniques and Cryptography

EDUCATION

 Doctor of Philosophy in Computer Science and Engineering (2016-2019) Pondicherry Engineering College, (Pondicherry Central University).
 Master of Technology (Information Security) in Computer Science and Engineering (7.6 CGPA) at Pondicherry Engineering College under Pondicherry Central University during the academic year 2008-2010.
 Bachelor of Engineering in Computer Science and Engineering (6.7% CGPA) at Dr. Paul’s Engineering College, Pullichapallam,Villupuram District under Anna University during the academic year 2001-2005.
 Higher Secondary (78%) from ST. Anne’s Hr. Secondary School, Tindivanam under Tamilnadu State Board in the year of 2000.
 S.S.L.C (78.6%) from O.P.R Govt. Hr Secondary School, Omandur (Tindivanam) under Tamilnadu State Board in the year of 1998.

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Networks and Communications, Artificial Intelligence, Artificial Intelligence, Information Systems
173

Scholar Citations

8

Scholar h-index

5

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Internet of Things (IoT) Data Visualizations for Business Insight in Finance Industry
    A Lakkshmanan, A Arulmurugan, R Kaviarasan, P Ramadoss, R Ettiyan
    AI-Powered Cybersecurity for Banking and Finance, 142-169 , 2026
    2026
  • IoT-Based Classification of COVID-19 Using Feature Extraction and Hybrid Architectures of Convolutional Neural Network (CNN)
    A Arulmurugan, R Kaviarasan, R Kalaiyarasan
    AI and IoT Technology and Applications for Smart Healthcare Systems, 55-74 , 2024
    2024
  • Finger Text: Deep Learning for Fingerspelling Translation
    A Arulmurugan, AA Paliwal, A Agarwal
    International Conference on Deep Sciences for Computing and Communications … , 2024
    2024
  • Transfer learning based feature extraction with metaheuristic optimization algorithm for detecting gastric cancer using optoelectronic sensor in endoscope
    SFAAAMRKNSB Maridu6
    Optical and Quantum Electronics, 509 , 2023
    2023
    Citations: 5
  • Intravascular optical imaging for early detection of coronary artery disease in asymptomatic patients
    VSSAACMNCSCD Kothandaraman4
    Optical and Quantum Electronics, 494 , 2023
    2023
    Citations: 9
  • IoT-based smart irrigation system in aquaponics using ensemble machine learning
    A Singh, D Bajaj, M Safa, A Arulmurugan, A John
    International Conference on Soft Computing and Signal Processing, 199-208 , 2023
    2023
    Citations: 4
  • Fault Tolerance-Based Attack Detection Using Ensemble Classifier Machine Learning with IOT Security
    A Arulmurugan, R Kaviarasan, SF Waris
    Big data management in Sensing, 115-148 , 2022
    2022
  • Load balancing in cloud environment using enhanced migration and adjustment operator based monarch butterfly optimization
    R Kaviarasan, P Harikrishna, A Arulmurugan
    Advances in Engineering Software 169, 103128 , 2022
    2022
    Citations: 21
  • Plant disease prediction using transfer learning techniques
    A Lakshmanarao, N Supriya, A Arulmurugan
    2022 Second International Conference on Advances in Electrical, Computing … , 2022
    2022
    Citations: 17
  • Decentralized link failure prevention routing (DLFPR) algorithm for efficient internet of things
    D Kothandaraman, M Manickam, A Balasundaram, D Pradeep, ...
    Intelligent Automation and Soft Computing 34 (1), 655-666 , 2022
    2022
    Citations: 35
  • Current Trends in Machine Learning Algorithms and Application on Health Sensor Data
    ARVN Suneetha, A Arulmurugan
    2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile … , 2021
    2021
    Citations: 2
  • Semi-Markov inspired hybrid trust prediction scheme for prolonging lifetime through reliable cluster head selection in WSNs
    A Amuthan, A Arulmurugan
    Journal of King Saud University-Computer and Information Sciences 33 (8 … , 2021
    2021
    Citations: 33
  • Markov Modulated Bernoulli Prediction Process‐based Cluster Head Selection Mechanism for improving resilience in wireless sensor networks
    A Arulmurugan, A Amuthan
    International Journal of Communication Systems 34 (8), e4771 , 2021
    2021
    Citations: 7
  • image-based diagnosis of covid-19 and social isolation during pandemic situation
    GS A. Arulmurugan, A.Vijay Vasanth, P Jhansi Lakshmi, ,*S.Shivaprasad
    Annals of the Romanian Society for Cell Biology 25 (3), 7906 - 7922 , 2021
    2021
  • Ensemble of deep learning based segmentation with classification model for skin lesion diagnosis using dermoscopic images
    A Arulmurugan, N Hema Rajini, G Pradeep
    Journal of Computational and Theoretical Nanoscience 18 (3), 710-721 , 2021
    2021
    Citations: 2
  • Analysis of cluster head selection methods in WSN
    A Arulmurugan, SF Waris, N Bhagyalakshmi
    2021 6th International Conference on Inventive Computation Technologies … , 2021
    2021
    Citations: 9
  • An availability predictive trust factor-based semi-Markov mechanism for effective cluster head selection in wireless sensor networks
    A Amuthan, A Arulmurugan
    International Journal of Communication Systems 33 (6) , 2020
    2020
    Citations: 9
  • Non Interactive Grabcut Based Segmentation with Deep Learning Model for Skin Lesion Detection and Classification
    A Arulmurugan, NH Rajini, G Pradeep
    International Journal of Advanced Research in Engineering and Technology 11 … , 2020
    2020
    Citations: 1
  • Analytical Network Process-based Adaptive Cluster Head Selection Framework in WSN
    AA A. Arulmurugan
    International Journal of Computer Sciences and Engineering , 2019
    2019
  • Analysis of Markov Model through reliable Cluster Head Selection In WSN
    A Aalavandhar, A Arjunan
    2019 3rd International conference on Electronics, Communication and … , 2019
    2019
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Decentralized link failure prevention routing (DLFPR) algorithm for efficient internet of things
    D Kothandaraman, M Manickam, A Balasundaram, D Pradeep, ...
    Intelligent Automation and Soft Computing 34 (1), 655-666 , 2022
    2022.0
    Citations: 35
  • Semi-Markov inspired hybrid trust prediction scheme for prolonging lifetime through reliable cluster head selection in WSNs
    A Amuthan, A Arulmurugan
    Journal of King Saud University-Computer and Information Sciences 33 (8 … , 2021
    2021.0
    Citations: 33
  • Load balancing in cloud environment using enhanced migration and adjustment operator based monarch butterfly optimization
    R Kaviarasan, P Harikrishna, A Arulmurugan
    Advances in Engineering Software 169, 103128 , 2022
    2022.0
    Citations: 21
  • Plant disease prediction using transfer learning techniques
    A Lakshmanarao, N Supriya, A Arulmurugan
    2022 Second International Conference on Advances in Electrical, Computing … , 2022
    2022.0
    Citations: 17
  • A comparative study of different cluster mechanism for wireless sensor networks
    A Aalavandhar, A Arjunan
    2019 3rd International conference on Electronics, Communication and … , 2019
    2019.0
    Citations: 10
  • Intravascular optical imaging for early detection of coronary artery disease in asymptomatic patients
    VSSAACMNCSCD Kothandaraman4
    Optical and Quantum Electronics, 494 , 2023
    2023.0
    Citations: 9
  • Analysis of cluster head selection methods in WSN
    A Arulmurugan, SF Waris, N Bhagyalakshmi
    2021 6th International Conference on Inventive Computation Technologies … , 2021
    2021.0
    Citations: 9
  • An availability predictive trust factor-based semi-Markov mechanism for effective cluster head selection in wireless sensor networks
    A Amuthan, A Arulmurugan
    International Journal of Communication Systems 33 (6) , 2020
    2020.0
    Citations: 9
  • Markov Modulated Bernoulli Prediction Process‐based Cluster Head Selection Mechanism for improving resilience in wireless sensor networks
    A Arulmurugan, A Amuthan
    International Journal of Communication Systems 34 (8), e4771 , 2021
    2021.0
    Citations: 7
  • Transfer learning based feature extraction with metaheuristic optimization algorithm for detecting gastric cancer using optoelectronic sensor in endoscope
    SFAAAMRKNSB Maridu6
    Optical and Quantum Electronics, 509 , 2023
    2023.0
    Citations: 5
  • IoT-based smart irrigation system in aquaponics using ensemble machine learning
    A Singh, D Bajaj, M Safa, A Arulmurugan, A John
    International Conference on Soft Computing and Signal Processing, 199-208 , 2023
    2023.0
    Citations: 4
  • Robust image watermarking in contourlet domain using genetic algorithm
    A Arulmurugan, N Arul, P Santhoshkumar
    Global Journal Of Computer Science And Tecgnology 11 , 2011
    2011.0
    Citations: 4
  • A Model for Predicting E-Commerce Product Returns Using Hybrid CNN-GRU. International Journal on Recent and Innovation Trends in Computing and Communication
    KSRM A.Arulmurugan, Arul N, Meera Alphy, Vidya Rajasekaran, Kuncham ...
    Journal on Recent and Innovation Trends in Computing and Communication 11 (9 … , 0
    Citations: 3
  • Current Trends in Machine Learning Algorithms and Application on Health Sensor Data
    ARVN Suneetha, A Arulmurugan
    2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile … , 2021
    2021.0
    Citations: 2
  • Ensemble of deep learning based segmentation with classification model for skin lesion diagnosis using dermoscopic images
    A Arulmurugan, N Hema Rajini, G Pradeep
    Journal of Computational and Theoretical Nanoscience 18 (3), 710-721 , 2021
    2021.0
    Citations: 2
  • Non Interactive Grabcut Based Segmentation with Deep Learning Model for Skin Lesion Detection and Classification
    A Arulmurugan, NH Rajini, G Pradeep
    International Journal of Advanced Research in Engineering and Technology 11 … , 2020
    2020.0
    Citations: 1
  • Analysis of Markov Model through reliable Cluster Head Selection In WSN
    A Aalavandhar, A Arjunan
    2019 3rd International conference on Electronics, Communication and … , 2019
    2019.0
    Citations: 1
  • Performance analysis of labeling technique for coronary arteries in angiogram images
    A Arulmurugan, G Murugadass, DFTA Sharp, PS Kumar
    2011 International Conference on Electronics, Communication and Computing … , 2011
    2011.0
    Citations: 1
  • Internet of Things (IoT) Data Visualizations for Business Insight in Finance Industry
    A Lakkshmanan, A Arulmurugan, R Kaviarasan, P Ramadoss, R Ettiyan
    AI-Powered Cybersecurity for Banking and Finance, 142-169 , 2026
    2026.0
  • IoT-Based Classification of COVID-19 Using Feature Extraction and Hybrid Architectures of Convolutional Neural Network (CNN)
    A Arulmurugan, R Kaviarasan, R Kalaiyarasan
    AI and IoT Technology and Applications for Smart Healthcare Systems, 55-74 , 2024
    2024.0

Publications

1. Arulmurugan, A. Amuthan, “Semi-Markov Inspired Hybrid Trust Prediction Scheme for Prolonging Lifetime through Reliable Cluster Head Selection in WSNs”, Elsevier: Journal of King Saud University-Computer and Information Sciences: . (SCIE)- Impact Factor: 13.47
2. A. Arulmurugan, A.Amuthan, “An Availability Predictive Trust Factor -based Semi-Markov Mechanism for effective Cluster Head Selection in Wireless Sensor Networks,” Wiley: International Journal of Communication Systems, 2019. doi: 10.1002/ (SCIE) - Impact Factor: 2.047
3. A. Arulmurugan, A.Amuthan, “Markov Modulated Bernoulli Prediction Process-based Cluster Head Selection Mechanism for improving Resilience in Wireless Sensor Networks,” Wiley: International Journal of Communication Systems. 2021. doi: 10.1002/. (SCIE) - Impact Factor: 2.047
4. D. Kothandaraman, M. Manickam, A. Balasundaram, D. Pradeep, A. Arulmurugan, “Decentralized Link Failure Prevention Routing (DLFPR) Algorithm for Efficient Internet of Things”, Intelligent Automation & Soft Computing doi:10.32604/ (SCIE) -Impact Factor: 1.647
5. R.Kaviarasan, Harikrishna Pillutla. A.Arulmurugan, “Load Balancing in Cloud Environment using Enhanced Migration and Adjustment operator Based Monarch Butterfly optimization”, Elsevier: Advances in Engineering Software. (SCIE) - Impact Factor: 4.141

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

Patent Type Patents Name Filed/Published/Granted Application no
1 National Face recognition based intruder identification system Published on 24.07.2019 201941029856
2 National Method of Securing Visual Data Transmission through Visual Cryptography Published on 18/10/2019 201941039142 A
3 International Integrated Multimodal Sensor System For Agri Farms Granted on 21/04/2021 2021101274
4 National Image processing based Tracking and Counting Vehicles Using IoT Published on 19/03/2021 202141010181

5 National Self-diagnosis Personalized Women Safety Application Model Using Machine Learning Approach Published on 19/03/2021 202141009700