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Nakkeeran M.

Assistant Professor (On Contract), Department of Electrical and Electronics Engineering, Amrita School of Engineering, Coimbatore

Qualification: B.E., M.E.
ORCID ID
Google Scholar Profile
Scopus Author ID
Research Interest: Cyber-Physical Systems, Smart Grid Cybersecurity, Machine Learning in Predictive Analytics, and Green IoT

Bio Publications Teaching Interests Awards and Recognitions Projects and Grants
Bio

Nakkeeran M. currently working as an Assistant Professor (OC) in the Department of Electrical and Electronics Engineering and pursuing a Ph. D. degree in the area of Smart Grid Cybersecurity with the School of Computing, Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India. He worked as an Assistant Professor (SG) in the Department of Computer Science and Engineering, SVS College of Engineering, Coimbatore, for 8 years. He completed my B. E (EEE) from Government College of Engineering, Tirunelveli, and M.E. (CSE) in Annamalai University, Chidambaram. He has 4 years and 8 months of industry experience from various institutions and as a freelancer. He has been a Software Consultant in the area of JAVA/J2EE/ Oracle Technologies. He has published 9 research papers in International and National Journals & Conferences in the area of Smart Grid Cybersecurity, Cyber-Physical Systems, IoT Security, and Green IoT.

Publications

Journal Article

Year : 2026

Decentralized cybersecurity in smart grids: Leveraging location-fedavg for rapid threat detection and adaptive resilience

Cite this Research Publication : Nakkeeran M, Anantha Narayanan V, Bagavathi Sivakumar P, Balamurugan S, Decentralized cybersecurity in smart grids: Leveraging location-fedavg for rapid threat detection and adaptive resilience, Results in Engineering, Elsevier BV, 2026, https://doi.org/10.1016/j.rineng.2025.108518

Publisher : Elsevier BV

Year : 2024

Statistical Approach with Machine Learning- Based Intrusion Detection System for CyberAttack Discrimination in the Smart Grid

Cite this Research Publication : M. Nakkeeran, V. Anantha Narayanan, P. Bagavathi Sivakumar, S. Balamurugan, Statistical Approach with Machine Learning- Based Intrusion Detection System for CyberAttack Discrimination in the Smart Grid, Power Research - A Journal of CPRI, Central Power Research Institute, 2024, https://doi.org/10.33686/pwj.v20i1.1162

Publisher : Central Power Research Institute

Year : 2015

Anchor point-based data gathering with energy provisioning in a wireless rechargeable sensor network

Cite this Research Publication : Shanthi, A.M., Nakkeeran, M., "Anchor point-based data gathering with energy provisioning in a wireless rechargeable sensor network", International Journal of Applied Engineering Research, 2015, 10 (20), pp. 17608-17612

Year : 2015

Fault-tolerant-based hyper-heuristic algorithm for task scheduling in cloud

Cite this Research Publication : Priyanka, R., Priyadharsini, P., Nakkeeran, M., "Fault-tolerant-based hyper-heuristic algorithm for task scheduling in cloud", ARPN Journal of Engineering and Applied Sciences, 2015, 10 (7), pp. 3203 - 3207

Year : 2011

Parallel matrix multiplication implementation in distributed environment through RMI

Cite this Research Publication : Nakkeeran, M., Chandrasekaran, R.M., "Parallel matrix multiplication implementation in a distributed environment through RMI," Journal of Theoretical and Applied Information Technology, 2011, 24 (2), pp. 73 - 78.

Conference Paper

Year : 2024

Statistical Approach with Machine Learning-Based Intrusion Detection System for Cyberattack Discrimination in the Smart Grid

Cite this Research Publication : Nakkeeran M, Anantha Narayanan V, Bagavathi Sivakumar P, Balamurugan S., "Statistical Approach with Machine Learning-Based Intrusion Detection System for Cyberattack Discrimination in the Smart Grid," National Conference on “Smart Grid, Smart Meter, Communication Technologies And Cyber Security & One Day Workshop On Cyber Security Initiatives In The Power Sector, Central Power Research Institute (CPRI), Bangalore, feb 14 – 16, 2024

Teaching Interests
  • IoT
  • Networks and Security for IoT
  • Machine Learning
  • Python Programming,
  • Cyber-Physical Systems
  • Smart Grid Cybersecurity
Awards and Recognitions
  • Received Best Paper Award in the 4th International Conference on Robotics, Control, Automation and Artificial Intelligence (RCAAI-2025) on the topic “ReSponD-ML: An Adaptive Machine Learning Framework for REconnaissance and SPoofiNg Attack Detection in IoT Networks”, under the track of “AI-ML Track.”
Projects and Grants
  • Worked as a Research Scholar for the project titled “An Intelligent Intrusion Detection System to Detect Anomalies in Industry 4.0 Smart Grid Systems” under the Amrita Seed Grant 2022 (ASG2022051) for a period of two years, with a total grant amount of Rs. 39,38,000/-.
  • Received the Amrita Scholarships & Fellowships 2024 with a grant of USD 1000 for publishing a Q1 research paper (SCI and Scopus indexed) in the Energies journal (MDPI), in collaboration with Dr. Md. Jahangir Hossain (UTS, Sydney, Australia), whose institution is ranked within the QS Top 100 universities.
  • Developed a real physical WAMPS (Smart Micro-Grid) cybersecurity testbed to conduct attack impact analysis and develop detection and mitigation mechanisms.
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