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D. Vineela Chandra

Faculty Associate, Electronics and Communication Engineering, Amaravati

Qualification: Ph.D
c_vineela@av.amrita.edu
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Research Interest: Signal and Image Processing, Deep Learning, imaging for Bio medical applications.

Bio Publications Research Achievements
Bio

Mrs. Vineela Chandra Dodda did her Ph.D. on seismic data processing using deep learning from SRM University-AP. She received her M. Tech degree (Gold Medalist) in Embedded systems from KL University (2019), and B. Tech degree in ECE from Amritha Vishwa Vidyapeetham, Coimbatore (2015). She has an industrial experience of 2 years as an Associate Software Engineer in Robert Bosch Engineering and Business solutions ltd, Coimbatore (2015-2017). Her research interests include signal and image processing, machine learning, deep learning and imaging systems for bio medical applications.

Publications

Journal Article

Year : 2023

Deep Convolutional neural network with Attention module for seismic impedance inversion

Cite this Research Publication : Vineela Chandra Dodda, Lakshmi Kuruguntla, Anup Kumar Mandpura, Karthikeyan Elumalai, Mrinal K Sen, “Deep Convolutional neural network with Attention module for seismic impedance inversion,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023.

Publisher : IEEE

Year : 2023

A Deep Learning Framework to Remove the Off-Focused Voxels from the 3D Photons Starved Depth Images

Cite this Research Publication : Suchit K Patel, Dodda Vineela Chandra, John T. Sheridan, and Inbarasan Muniraj.” A Deep Learning Framework to Remove the Off-Focused Voxels from the 3D Photons Starved Depth Images”. Photonics, 10(5). PP.583, 2023. IF: 2.4.

Year : 2023

Simultaneous Seismic Data Denoising and Reconstruction With Attention-Based Wavelet-Convolutional Neural Network

Cite this Research Publication : 2. V. C. Dodda, L. Kuruguntla, A. K. Mandpura and K. Elumalai, "Simultaneous Seismic Data Denoising and Reconstruction With Attention-Based Wavelet-Convolutional Neural Network," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-14, 2023, Art no. 5908814. IF: 8.2.

Publisher : IEEE

Year : 2023

A denoising framework for 3D and 2D imaging techniques based on photon detection statistics

Cite this Research Publication : Dodda Vineela Chandra, Lakshmi Kuruguntla, Karthikeyan Elumalai, Sunil Chinnadurai, John T. Sheridan, and Inbarasan Muniraj. "A denoising framework for 3D and 2D imaging techniques based on photon detection statistics." Nature Scientific Reports, vol.13, p.1365, Jan 2023. IF : 5

Year : 2022

Sparse reconstruction for integral Fourier holography using dictionary learning method

Cite this Research Publication : 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 , Vol.128, no. 6 ,pp.1-6, 2022.

Publisher : Springer

Year : 2022

Erratic noise attenuation using double sparsity dictionary learning method

Cite this Research Publication : Lakshmi Kuruguntla, Vineela Chandra Dodda, Anup Kumar Mandpura, Karthikeyan Elumalai, “Erratic noise attenuation using double sparsity dictionary learning method,” IEEE Transactions on Geoscience and Remote sensing, Vol 60, p.5913613, April 2022.

Publisher : IEEE

Year : 2022

Seismic Horizon Estimation Based on Deep Learning Technique

Cite this Research Publication : Vineela Chandra Dodda, Lakshmi Kuruguntla, and Karthikeyan Elumalai.” Seismic Horizon Estimation Based on Deep Learning Technique.” ECS Transactions, 107, no. 1 (2022): 11449.

Publisher : ECS Transactions

Year : 2021

Study of parameters in dictionary learning method for seismic denoising

Cite this Research Publication : Lakshmi Kuruguntla, Vineela Chandra Dodda, Karthikeyan Elumalai, “Study of parameters in dictionary learning method for seismic denoising,” IEEE Transactions on Geoscience and Remote sensing, Vol 60, p. 5906213, Sep 2021.

Publisher : IEEE

Conference Proceedings

Year : 2023

Seismic Lithology Interpretation using Attention-based Convolutional Neural Networks

Cite this Research Publication : V. C. Dodda, L. Kuruguntla, S. Rajak, A. Mandpura, S. Chinnadurai and K. Elumalai, "Seismic Lithology Interpretation using Attention-based Convolutional Neural Networks," 2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT), Jaipur, India, 2023.

Publisher : IEEE

Year : 2022

Study of parameters in dictionary learning method for seismic denoising

Cite this Research Publication : Lakshmi Kuruguntla, Vineela Chandra Dodda, and Karthikeyan Elumalai, “Study of parameters in dictionary learning method for seismic denoising”, in Conference: International Conference on Geosciences and Remote Sensing (GeoRS 2022), China.

Publisher : IEEE

Year : 2022

An undercomplete autoencoder for denoising computational 3D sectional images

Cite this Research Publication : Vineela Chandra Dodda, Lakshmi Kuruguntla, Karthikeyan Elumalai, Inbarasan Muniraj, Sunil Chinnadurai, “An undercomplete autoencoder for denoising computational 3D sectional images”, Imaging and Applied Optics Congress, Canada, 2022.

Year : 2021

Prediction of crop and yield in agriculture using machine learning technique

Cite this Research Publication : Akshay Kumar Gajula, Jaswant Singamsetty, Vineela Chandra Dodda, Lakshmi Kuruguntla, “Prediction of crop and yield in agriculture using machine learning technique,” In2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT) 2021 Jul 6 (pp. 1-5), IEEE.

Publisher : IEEE

Research

FDP / Workshops

  • Worked as a Co-Convenor for the Workshop with the title “Multidimensional seismic data processing based on deep learning methods on  13th Jan, 2023 on behalf of DST-SERB project conducted at SRM University, AP.
  • Worked as a  Co-Convenor for the Workshop with the title Geophysical data processing using signal processing and deep learning methods on  26th Nov, 2022 on behalf of DST-SERB project conducted at SRM University, AP.
  • Worked as coordinator for Research Scholars Talk Series conducted in ECE department, SRM University, AP for the period 2021 to 2022 August.

Research Talks Delivered

  • Delivered a talk on “Multidimensional seismic data processing based on deep learning methods: Hands on with python” sponsored by DST-SERB project conducted at SRM University, AP.
  • Delivered a talk on “Geophysical data processing using signal processing and deep learning methods: Hands on with python” sponsored by DST-SERB project conducted at SRM University, AP.
  • Delivered a talk on “ Role of Deep learning in optical imaging” at International Conference on “HolographyMeets Advanced Manufacturing.

Invited Talks

  • Delivered a talk on “Multidimensional seismic data processing based on deep learning methods: Hands on with python” sponsored by DST-SERB project conducted at SRM University, AP.
  • Delivered a talk on “Geophysical data processing using signal processing and deep learning methods: Hands on with python” sponsored by DST-SERB project conducted at SRM University, AP.
  • Delivered a talk on “ Role of Deep learning in optical imaging” at International Conference on “HolographyMeets Advanced Manufacturing.

 

Achievements

Membership

  • IEEE Member
  • Optica Member (OSA)
  • SEG Member
  • IETE Member

Awards

  • University First rank holder and was awarded with “Hon’ble President’s Gold Medal” in Tech ( Embedded systems) -2019.
  • Was awarded the “Young achiever” in Robert Bosch Engineering and Business Solutions, Coimbatore for quick handling of projects
  • Was awarded “Academic excellence” award in Tech, Amrita Vishwa Vidyapeetham – 2014.
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