Prabagaran-ECE-SSN

N. Prabagarane

M.Tech., Ph.D.

Associate Professor

Department of Electronics and Communication Engineering

Email : prabagaranen@ssn.edu.in

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Prabagarane Nagaradjane is an Associate Professor with the Department of Electronics and Communication Engineering, SSN Institutions. He received M.Tech and Ph.D. degrees in ECE from Pondicherry Engineering College, Pondicherry (Central) University. Before this, he was with HCL Info Systems for a brief period of two years. His research interests include various aspects of wireless communications, especially concerning signal processing for wireless and broadband communications and the application of machine learning and artificial intelligence for wireless communications. He has authored or co-authored over 75+ technical papers and two books. He is one of the founding members of the Wireless Communications, Signal Processing and Networking (WiSPNET) international conference technically co-sponsored by IEEE.

He also served as one of the organizing chairs of 2016, 2017, 2018, 2020, 2021, and 2022 WiSPNET and co-chair of the WiSPNET 2019 conference.  Currently, he is serving as the organizing chair of the ASIAN ComNet 2024 conference to be held in Thailand. He has guest-edited two Special Issues under the topic of signal processing for 5G in the Elsevier Computers and Electrical Engineering journal and a Special Issue on the topic of the Future of Intelligent Wireless LANs in the IET Communications journal. He also served on the editorial board of the Physical Communication Journal as an area editor and is currently an associate editor of the IET Communications journal.

  • Ioannou Iacovos, Prabagarane N, Christophoros Christophorou, Vasos Vassiliou, and Andreas Pitsillides, “Distributed Artificial Intelligence for 5G/6G Communications,” Taylor and Francis, 2024, In Press.
  • M.D. Selvaraj, and Prabagarane N, “Electronic Communications,” AICTE e-KUMBH, 2024, In Press
Journal:
  • Razeena Begun, Prabagarane N, Ioannou Iacovos, Vitawat Sittakul, Vasos Vassiliou, and Andreas Pitsillides, “AI/ML-aided Capacity Maximization Strategies for URLLC in 5G/6G Wireless Systems: A Survey,” Elsevier Computer Networks, vol. 249, May 2024.
  • Iacovos Ioannou, Pelin Angin, Prabagarane N, Palaniappan B, Karthick J K, and Palani Murugan, “GEMLIDS-MIOT: A Green Effective Machine Learning Intrusion Detection System Based on Federated Learning for Medical IoT Network Security Hardening,” Elsevier, Computer Communications, vol. 218, pp. 209–239, Mar. 2024.
  • V.Jansi Rani, Iacovos Ioannou, Prabagarane N, Christophoros Christophorou, Vasos Vassiliou, Harshitaa Yarramsetti, Sai Shridhar, L Mukund Balaji, and Andreas Pitsillides and Andreas Pitsillides, “A Novel Deep Hierarchical Machine Learning Approach for Identification of Known and Unknown Multiple Security Attacks in a D2D Communications Network,” IEEE Access, vol. 11, Aug. 2023.
  • S. Mertens, A. Panebianco, A. Surudhi, Prabagarane N, and L. Galluccio, “Network intelligence vs. jamming in underwater networks: how learning can cope with misbehavior,” Frontiers in Communications and Networks, vol. 4, May 2023.
  • V. Jansi Rani, Iacovos Ioannou, Prabagarane N, Christophoros Christophorou, Vasos Vassiliou, Sai Charan, Sai Prakash, Niel Parekh, and Andreas Pitsillides, “Detection of DDoS attacks in D2D communications using machine learning approach,” Elsevier, Computer Communications, vol. 198, pp.32–51, Jan. 2023.
  • Kishore R, Iacovos Ioannou, Christophoros Christophorou, Prabagarane N, Vasos Vassiliou, Sankar Vignesh, Hebbar Vinayak, Sankar Ganesh Venkatesh, and Andreas Pitsillides, “A Security Protocol for D2D Communications in 5G Networks using Elliptic Curve Cryptography,” Springer, International Journal of Information Security, vol. 21, pp. 1389-1408, Oct 2022.
  • 1Santi C. Pavone, Kesav R, Palaniappan S, Balaji K. Prasanna, Loreto Di Donato, Ottavio Crisafulli, Radha S, Prabagarane N, Gino Sorbello, “Comparative analysis of Machine Learning and Physics-based Optimizations of a Dual Circularly Polarized Antenna for V2X Applications,” AEU Journal of Electronics and Communications, vol. 142, Dec. 2021. Full Text -Collaborative work
  • Ala Khalifeh, Karthikeyan A, Barath Kumar S, Jayanth Srinivasan P, and Prabagarane N, “A simulation analysis of LEDs spatial distribution for indoor visible light communication,” Wireless Personal Commun., vol. 122, pp. 1867-1890, Aug. 2021.
  • Ala Khalifeh, Mai Saadeh, Khalid A. Darabkh, and Prabagarane N, “Radio Frequency based wireless charging for unsupervised clustered WSN: System implementation and experimental evaluation,” MPDI Energies, vol. 14, no. 7, pp. 1–21, Mar. 2021. Full Text -Collaborative work
  • Christian G, Karthik EswarK.N, Prabagarane N, Mridhula R, and Giovanni Schembra, “Designing the tactile support engine to assist time-critical applications at the edge of a 5G network,” Elsevier Computer Commun., vol. 166, pp. 226-233, Jan. 2021.
  • G Harine, S. C. Pavone, L. Di Donato, P. Di Mariano, G. Distefano, P. Livreri, Prabagarane N, C. Squadrito, and G. Sorbello “Design of a compact dual circular-polarized antenna for L-band satellite applications,” IEEE Antennas Wirel. Propag. Lett., vol. 19, no. 4, pp. 547-551, Apr. 2020.
  • Ravikumar B, Prabagarane N, and Ala’ Khalifeh “Future of intelligent wireless LANs,” IET Commun., vol. 13, no. 19, pp. 3125-3126, Dec. 2019.
  • Aadithya V , Ashwin V, Adarshana R, Prabagarane N “Design of sensor system for air pollution and human vital monitoring for connected cyclists,” IET Commun., vol. 13, no. 19, pp. 3181 – 3186, Dec. 2019.
  • Prabagarane N, and Tamilarasi M, “Performance of cooperative diversity aided TF-spread MC-DS-CDMA with preprocessing,” Elsevier Computers and Electrical Engineering, vol. 78, pp. 504-519, Sep. 2019.
  • Prabagarane N, and Tamilarasi M, “Performance of uplink feedback MIMO system using joint transmitter receiver and polarization multiplexing,” Elsevier Computers and Electrical Engineering, vol. 53, pp. 394-408, Jul. 2016.
    • Conference:
    1. Krishnan, D. Srinivasan, V. Balasubramanian, N. Prabagaranae, J.S. Mertens, S. Cafiso, L. Galluccio, G. Morabito, G. Pappalardo “ Driving style profiling using Deep Autoencoders for safety applications in urban and highway scenarios,” in proc. IEEE M&N 2024, Rome, Italy, June. 2024.
    2. B. Saravanarajan, S. Sridhar, V. Balasubramanian, Prabagarane N, J.S. Mertens, S. Cafiso, L. Galluccio,G. Morabito, G. Pappalardo, “ Ensuring privacy and communication efficiency through partial parameter exchange in collaborative learning for vehicular applications,” in proc. BlackSeaCom 2024, Tbilisi, Georgia, June. 2024.
    3. Iacovos Ioannou, Prabagarane N, Ala Khalifeh, R Dhivyaharshini, A Harini, Vasos Vassiliou, “ Deep Learning-aided channel estimation for large Scale fading decoding in massive MIMO systems,” in proc. ICT 2024, Amman, Jordon, June. 2024.
    4. Iacovos Ioannou, Christophoros Christophorou, Prabagarane N, and Vasos Vassiliou, “ Performance evaluation of machine learning cluster metrics for mobile network augmentation,” in proc. WiSPNET 2024, Chennai, India, Mar. 2024.
    5. Iacovos Ioannou, Prabagarane N, Christophoros Christophorou, Vasos Vassiliou, Gundepudi V Surya Sashank, Charu Jain, and Andreas Pitsillides, “ML-aided dynamic clustering and classification of UEs as VBs in D2D communication networks,” in proc. WiSPNET 2023, Chennai, India, Mar. 2023.
    6. Shivani A, Surudhi N, Prabagarane N, and L. Galluccio, “A Q-learning approach for the support of reliable transmission in the Internet of Underwater Things,” in proc. WiMob 2020, Thessaloniki, Greece, Oct. 2020.
    7. S. Mertens, G. M. Milotta, Prabagarane N, and G. Morabito, “SDN-(UAV)ISE: Applying software defined networking to wireless sensor networks with data mules,” in proc. SwarmNet 2020, Cork, Ireland, Aug.-Sep. 2020.
    8. Sruthi K, G. Torrisi, D. Mascali, Prabagarane N, G. Sorbello, L. Di Donatoz, “Microwave imaging profilometry for plasma diagnostics,” in proc. 14th EuCAP 2020, Copenhagen, Denmark, Mar. 2020.
    9. Ala Khalifeh, Mai Saadeh, Khaled Darabkeh and Prabagarane N, “Radio-Frequency based energy charging-An experimental study,” in proc. MENACOMM, Bahrain, Nov. 2019.
    10. Galluccio, S. Janardhanan, Y. Narayan and Prabagarane N, “Design and deployment of a wireless BAN at the edge for reliable healthcare monitoring,” in proc. 15th WiMob, Barcelona, Spain, Oct. 2019.
    11. Milardo, A. Venkatasubramanian, K. Vijayan, Prabagarane N, and G. Morabito, “From reactive to predictive flow instantiation: An artificial neural network approach to the SD-IoT,” in proc. 24th European Wireless, Italy, May 2018.
    12. Aadithya V, Ashwin V and Prabagarane N, “Performance of precoding-aided multi-user downlink communication enduring Nakagami-m fading,” in proc. IEEE WiSPNET, India, Mar. 2016, pp. 2507-2510.