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Dr. Vineela Chandra Dodda

Assistant Professor (OC), Electronics and Communication Engineering, School of Engineering, Amaravati

Qualification: Ph.D
c_vineela@av.amrita.edu
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Research Interest: Geophysical Data Processing, Deep Learning, Imaging for Bio medical applications

Bio Publications Research Invited Talks Achievements
Bio

Dr. Vineela Chandra Dodda is an Assistant Professor in the Department of Electronics and Communication Engineering at Amrita Vishwa Vidyapeetham, Amaravati. She holds a Ph.D. from SRM University, Andhra Pradesh, where her research focused on neural networks, machine learning, image processing, and their applications in seismic data analysis.

She completed her B.Tech in Electronics and Communication Engineering from Amrita Vishwa Vidyapeetham, Coimbatore, in 2015, followed by an M.Tech in Embedded Systems from KL University in 2019, where she was awarded the University Gold Medal for academic excellence.

Dr. Vineela has prior industry experience as an Associate Network Engineer at Robert Bosch Engineering and Business Solutions Ltd., Coimbatore (2015–2017), where she received the Young Achiever Award for her exemplary work on PSA-Ren projects.

Her research contributions have been published in reputed journals such as Nature Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Earth Observations and Remote Sensing, and Applied Optics, among others. She has been the recipient of prestigious research grants, including the ANRF- Prime Minister’s Early Career Research Grant (PMECRG) with a funding of ₹40 lakhs, and an international travel grant (ITS) to France.

Her areas of research interest include:

  • Quantum Neural Networks
  • Machine Learning
  • Seismic Data Processing
  • Biomedical Applications
Publications

Journal Article

Year : 2025

Overview of photon-counted three-dimensional imaging and related applications

Cite this Research Publication : Vineela Chandra Dodda, Lakshmi Kuruguntla, Naresh Kumar Ravichandran, Kye-Sung Lee, Rudrakant Sollapur, Mathivanan Damodaran, Ravi Kumar, Neelapala Anilkumar, Srikanth Itapu, Manoj Kumar, Osamu Matoba, Bryan M. Hennelly, Adrian Stern, Inbarasan Muniraj, Overview of photon-counted three-dimensional imaging and related applications, Optics Express, Optica Publishing Group, 2025, https://doi.org/10.1364/oe.546629

Publisher : Optica Publishing Group

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

Research Grants

  1. ANRF-PMECRG ( Prime Minister Early Career Research Grant) with an outlay of 40 lakhs
  2. ITS (Travel Grant from ANRF) to attend Optica Imaging Congress in Toulouse, France

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.

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.

 

Achievements

Membership

  • IEEE
  • OPTICA
  • SEG

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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