Assistant Professor

Dr E Karthikeyan

Department of Electronics and Communication Engineering

Interests

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

Education

2007

Anna University
India
Bachelors

2009

Anna University
India
Masters

2018

Indian Institute of Technology Delhi
India
Ph.D.

Experience

  • 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.

Memberships

  • IEEE Member

Publications

PUBLICATIONS
  • 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)
    DOI: https://doi.org/10.1109/JSTARS.2023.3308751
  • 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)
    DOI: https://doi.org/10.1038/s41598-023-27852-5
  • 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)
    DOI: https://doi.org/10.3390/electronics11121900
  • 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)
    DOI: https://doi.org/10.1109/TGRS.2019.2905151
  • 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)
    DOI: https://doi.org/10.1049/iet-spr.2017.0556
  • 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)
    DOI: https://doi.org/10.1016/j.jappgeo.2019.103879
  • 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.
    DOI: https://doi.org/10.1149/10701.11449ecst
  • 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.
    DOI: https://doi.org/10.1149/10701.7485ecst
  • 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)
    DOI: https://doi.org/10.21203/rs.3.rs-1508349/v1
PROJECTS
  • 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
PATENTS
  • 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

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