Assistant Professor

Dr E Karthikeyan

Department of Electronics and Communication Engineering


  1. Signal Processing
  2. Machine Learning
  3. Higher order statistics



Anna University


Anna University


Indian Institute of Technology Delhi


  • 2009 - 2010, Project Assistant | Indian Institute of Science Bangalore

Research Interest

  • Blindly estimating the FIR system parameters from the observed signal using higher order statistics and convex optimization.
  • Denoising the noisy signals using Dictionary learning techniques.
  • Machine learning techniques for 3D seismic data analysis.

Awards & Fellowships

  • 2011 2015, Institute fellowship for Doctoral studies at IIT Delhi - MHRD, Govt. of India.


  • IEEE Member


  • Vineela Chandra, Lakshmi Kuruguntla, Anup Kumar Mandpura, Mrinal K Sen and Karthikeyan Elumalai, “Deep Convolutional Neural Network with Attention module for Seismic Impedance Inversion”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, (Accepted-Early access), pp1-11,– Aug-2023, (IF:5.5)
  • Vineela Chandra, Lakshmi Kuruguntla, Anup Kumar Mandpura and Karthikeyan Elumalai, “Simultaneous Seismic Data Denoising and Reconstruction with Attention based Wavelet- Convolutional Neural Network”, IEEE Transaction on Geoscience and Remote sensing, Vol 61, pp 5908814, April 2023, (IF:8.2)
    DOI: 10.1109/TGRS.2023.3267037
  • Vineela Chandra Dodda, Lakshmi Kuruguntla, Karthikeyan Elumalai, Sunil Chinnadurai, John T Sheridan & Inbarasan Muniraj “A denoising framework for 3D and 2D imaging techniques based on photon detection statistics”, Nature Scientific Reports, Jan 2023, Vol 13, Article number 1365. (IF:5)
  • Rajak S, Muniraj I, Karthikeyan Elumalai, Hosen A S, Ra I H, and Chinnadurai S “Energy Efficient Hybrid Relay-IRS-Aided Wireless IoT Network for 6G Communications”, Electronics, 2022, Vol 11(12), pp 1900. (IF: 2.6)
  • Karthikeyan Elumalai., Brejesh Lall., and R K Patney. “Estimation of Source Wavelet From Seismic Traces Using Groebner Bases” IEEE Transaction on Geoscience and remote sensing, Vol 57 (9), p 6282 – 6291, Sep-2019, (IF: 8.1)
  • Karthikeyan Elumalai., Shailesh Kumar., Brejesh Lall., and R K Patney. “Denoising of Pre-Stack Seismic Data using Subspace Estimation Methods” IET Signal Processing, Vol 12(8), p 992 – 999, Oct-2018, (IF:1.9)
  • Karthikeyan Elumalai, Devendra Kumar Yadav, Anup Kumar Manpura, RK Patney. Stacking Seismic Data Based on Ramanujan Sums, IEEE Geoscience and Remote Sensing Letters,Vol 17 ( 9), p 1633 – 1636, Sep-2020, (IF: 5.3)
    DOI: 10.1109/LGRS.2019.2951300
  • S.Kanithan. Arun Vignesh, E.Karthikeyan, N.Kumareshand, An intelligent energy efficient cooperative MIMO-AF multi-hop and relay based communications for Unmanned Aerial Vehicular networks, Computer Communications, Vol 154, pp 254-261, Mar 2020 (IF:5.1)
  • Lakshmi Kuruguntla. Vineela Chandra, Karthikeyan Elumalai, “Study of parameters in dictionary learning method for seismic denoising” IEEE Transaction on Geoscience and Remote sensing, Vol 60, , pp-1-13,Sep-2021 (IF:8.1)
    DOI: 10.1109/TGRS.2021.3107541
  • Lakshmi Kuruguntla, Vineela Chandra, Anup Kumar Mandpura and Karthikeyan Elumalai “Erratic noise attenuation using double sparse dictionary learning method”, IEEE Transaction on Geoscience and Remote sensing, Accepted 2022, (IF:8.1)
    DOI: 10.1109/TGRS.2022.3164460
  • Vineela Chandra Dodda, Lakshmi Kuruguntla, Karthikeyan Elumalai, Seismic Horizon Estimation Based on Deep Learning Technique, ECS Transactions, Vol.107 (1), pp 11449, 2022.
  • Kamala Duru, Praneash Venkatachalam, Chanakya Karra, Asha Anish Madhavan, Karthikeyan Elumalai and Sujith Kalluri, “Lithium-Ion Battery Model Parameters Estimation Using Equivalent Circuit Model for E-mobility Applications”, ECS Transactions, Vol 107 (1), pp,7485, 2022.
  • Lakshmi Kuruguntla, Vineela Chandra Dodda, Min Wan, Karthikeyan Elumalai, Sunil Chinnadurai, Inbarasan Muniraj, and John T Sheridan, “Sparse reconstruction for integral Fourier holography using Dictionary Learning method”, Applied Physics B, Springer (Accepted 2022), (IF: 2.1)
  • Name of the Project: "Development of novel methods for deconvolution and denoising of seismic reflection data"
    PI: Dr Karthikeyan Elumalai
    Grant Received from: DST-SERB (CRG)
    Grant Amount: ₹25,90,240/-
    Duration: 2020-2023
    Status: Ongoing
  • A computer implemented method for identification of system parameters using multi objective optimization technique (Patent no:202041016800), Indian patent
  • A computer implemented method for identification of system parameters using convex optimization technique (Patent no: 202041016799), Indian patent
  • A system and method for denoising seismic data using co-kurtosis based deep denoising autoencoder (Patent no:202141048259), Indian patent.
  • An apparatus for denoising an image and a method thereof (Patent no: 202241046791), Indian Patent
  • An Energy Efficient Communication Network for an Intelligent Transportation System (Patent no: 202241063971), Indian patent

Contact Details