Praveen

Praveen Kumar Pokala

Biography

Praveen Kumar Pokala works on building large-scale, production-ready AI systems, with a focus on turning research ideas into practical impact. He currently serves as Vice President and AI/ML Lead at JPMorgan Chase, where he contributes at the intersection of applied research, enterprise platforms, and business needs.

Over the years, across roles at Qualcomm, Jio Platforms, OLA Krutrim, and JPMorgan Chase, he has had the opportunity to work on AI initiatives deployed across global markets. He enjoys learning from diverse teams, mentoring practitioners, and sharing ideas through talks and writing. His current interests are centered on building trustworthy, robust, and well-judged Agentic AI systems that behave reliably in real-world settings.

Publications

2023

  1. IEEE TCI 23
    Introducing nonuniform sparse proximal averaging network for seismic reflectivity inversion
    S. Mache , P. K. Pokala , K. Rajendran , and 
    IEEE Transactions on Computational Imaging, Apr 2023
    Cite Download .bib
    @article{mache2023introducing, author = {Mache, S. and Pokala, P. K. and Rajendran, K. and Seelamantula, C. S.}, journal = {IEEE Transactions on Computational Imaging}, pages = {475--489}, title = {Introducing nonuniform sparse proximal averaging network for seismic reflectivity inversion}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:HeT0ZceujKMC}, volume = {9}, year = {2023} }
  2. CVPR 23
    Quantized proximal averaging networks for compressed image recovery
    N. K. K. Reddy , , P. K. Pokala , and 
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Apr 2023
    Cite Download .bib
    @inproceedings{reddy2023quantized, author = {Reddy, N. K. K. and Bulusu, M. M. and Pokala, P. K. and Seelamantula, C. S.}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, title = {Quantized proximal averaging networks for compressed image recovery}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:yqoGN6RLRZoC}, year = {2023} }

2022

  1. ICIP 22
    An ensemble of proximal networks for sparse coding
    K. K. R. Nareddy , S. Mache , P. K. Pokala , and 
    In IEEE International Conference on Image Processing (ICIP), Apr 2022
    Cite Download .bib
    @inproceedings{nareddy2022ensemble, author = {Nareddy, K. K. R. and Mache, S. and Pokala, P. K. and Seelamantula, C. S.}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, pages = {1251--1255}, title = {An ensemble of proximal networks for sparse coding}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:4vMrXwiscB8C}, year = {2022} }

2021

  1. IEEE T-PAMI 21
    Iteratively reweighted minimax-concave penalty minimization for accurate low-rank plus sparse matrix decomposition
    P. K. Pokala , R. V. Hemadri , and 
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Apr 2021
    Cite Download .bib
    @article{pokala2021iteratively, author = {Pokala, P. K. and Hemadri, R. V. and Seelamantula, C. S.}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, number = {12}, pages = {8992--9005}, title = {Iteratively reweighted minimax-concave penalty minimization for accurate low-rank plus sparse matrix decomposition}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:WJVC3Jt7v1AC}, volume = {44}, year = {2021} }
  2. arXiv 21
    DuRIN: A deep-unfolded sparse seismic reflectivity inversion network
    S. Mache , P. K. Pokala , K. Rajendran , and 
    arXiv preprint arXiv:2104.04704, Apr 2021
    Cite Download .bib
    @article{mache2021durin, author = {Mache, S. and Pokala, P. K. and Rajendran, K. and Seelamantula, C. S.}, journal = {arXiv preprint arXiv:2104.04704}, title = {DuRIN: A deep-unfolded sparse seismic reflectivity inversion network}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:HtEfBTGE9r8C}, year = {2021} }
  3. arXiv 21
    NuSPAN: A Proximal Average Network for Nonuniform Sparse Model–Application to Seismic Reflectivity Inversion
    S. Mache , P. K. Pokala , K. Rajendran , and 
    arXiv preprint arXiv:2105.00003, Apr 2021
    Cite Download .bib
    @article{mache2021nuspan, author = {Mache, S. and Pokala, P. K. and Rajendran, K. and Seelamantula, C. S.}, journal = {arXiv preprint arXiv:2105.00003}, title = {NuSPAN: A Proximal Average Network for Nonuniform Sparse Model--Application to Seismic Reflectivity Inversion}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:a9-T7VOCCH8C}, year = {2021} }
  4. ICASSP 21
    Sparsity driven latent space sampling for generative prior based compressive sensing
    , P. K. Pokala , and 
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2021
    Cite Download .bib
    @inproceedings{killedar2021sparsity, author = {Killedar, V. and Pokala, P. K. and Seelamantula, C. S.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title = {Sparsity driven latent space sampling for generative prior based compressive sensing}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:4hFrxpcac9AC}, year = {2021} }
  5. arXiv 21
    Learning generative prior with latent space sparsity constraints
    , P. K. Pokala , and 
    arXiv preprint arXiv:2105.11956, Apr 2021
    Cite Download .bib
    @article{killedar2021learning, author = {Killedar, V. and Pokala, P. K. and Seelamantula, C. S.}, journal = {arXiv preprint arXiv:2105.11956}, title = {Learning generative prior with latent space sparsity constraints}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:umqufdRvDiIC}, year = {2021} }
  6. arXiv 21
    Quantized proximal averaging network for analysis sparse coding
    K. K. R. Nareddy , , P. K. Pokala , and 
    arXiv preprint arXiv:2105.06211, Apr 2021
    Cite Download .bib
    @article{nareddy2021quantized_proximal, author = {Nareddy, K. K. R. and Bulusu, M. M. and Pokala, P. K. and Seelamantula, C. S.}, journal = {arXiv preprint arXiv:2105.06211}, title = {Quantized proximal averaging network for analysis sparse coding}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:XvxMoLDsR5gC}, year = {2021} }
  7. AGU 21
    Explainable Deep Neural Networks for Seismic Reflectivity Inversion
    S. Mache , P. K. Pokala , K. Rajendran , and 
    In AGU Fall Meeting Abstracts, Apr 2021
    Cite Download .bib
    @inproceedings{mache2021explainable, author = {Mache, S. and Pokala, P. K. and Rajendran, K. and Seelamantula, C. S.}, booktitle = {AGU Fall Meeting Abstracts}, pages = {S15F-0312}, title = {Explainable Deep Neural Networks for Seismic Reflectivity Inversion}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:IRz6iEL74y4C}, volume = {2021}, year = {2021} }

2020

  1. SPCOM 20
    Accelerated Weighted ℓ1-Minimization for MRI Reconstruction Under Tight Frames in Complex Domain
    P. K. Pokala , and 
    In International Conference on Signal Processing and Communications (SPCOM), Apr 2020
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    @inproceedings{pokala2020accelerated, author = {Pokala, P. K. and Seelamantula, C. S.}, booktitle = {International Conference on Signal Processing and Communications (SPCOM)}, title = {Accelerated Weighted ℓ1-Minimization for MRI Reconstruction Under Tight Frames in Complex Domain}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Ri6SYOTghG4C}, year = {2020} }
  2. ICASSP 20
    ConFirmNet: Convolutional FirmNet and application to image denoising and inpainting
    P. K. Pokala , P. K. Uttam , and 
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2020
    Cite Download .bib
    @inproceedings{pokala2020confirmnet, author = {Pokala, P. K. and Uttam, P. K. and Seelamantula, C. S.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title = {ConFirmNet: Convolutional FirmNet and application to image denoising and inpainting}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:0N-VGjzr574C}, year = {2020} }
  3. ICIP 20
    CoRNet: Composite-regularized neural network for convolutional sparse coding
    , P. K. Pokala , and 
    In IEEE International Conference on Image Processing (ICIP), Apr 2020
    Cite Download .bib
    @inproceedings{jawali2020cornet, author = {Jawali, D. and Pokala, P. K. and Seelamantula, C. S.}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, pages = {818--822}, title = {CoRNet: Composite-regularized neural network for convolutional sparse coding}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:FAceZFleit8C}, year = {2020} }
  4. ICIP 20
    Projected improved fista and application to image deblurring
    P. K. Pokala , and 
    In IEEE International Conference on Image Processing (ICIP), Apr 2020
    Cite Download .bib
    @inproceedings{pokala2020projected, author = {Pokala, P. K. and Seelamantula, C. S.}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, pages = {1043--1047}, title = {Projected improved fista and application to image deblurring}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:9pM33mqn1YgC}, year = {2020} }
  5. ISBI 20
    Adaptive weighted minimax-concave penalty based dictionary learning for brain MR images
    P. K. Pokala , S. Chemudupati , and 
    In IEEE 17th International Symposium on Biomedical Imaging (ISBI), Apr 2020
    Cite Download .bib
    @inproceedings{pokala2020adaptive, author = {Pokala, P. K. and Chemudupati, S. and Seelamantula, C. S.}, booktitle = {IEEE 17th International Symposium on Biomedical Imaging (ISBI)}, pages = {1929--1932}, title = {Adaptive weighted minimax-concave penalty based dictionary learning for brain MR images}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:86PQX7AUzd4C}, year = {2020} }
  6. ICIP 20
    Generalized fast iteratively reweighted soft-thresholding algorithm for sparse coding under tight frames in the complex-domain
    P. K. Pokala , S. Chemudupati , and 
    In IEEE International Conference on Image Processing (ICIP), Apr 2020
    Cite Download .bib
    @inproceedings{pokala2020generalized, author = {Pokala, P. K. and Chemudupati, S. and Seelamantula, C. S.}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, pages = {2875--2879}, title = {Generalized fast iteratively reweighted soft-thresholding algorithm for sparse coding under tight frames in the complex-domain}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:_FM0Bhl9EiAC}, year = {2020} }
  7. ICIP 20
    Non-Convex Optimization For Sparse Interferometric Phase Estimation
    S. Chemudupati , P. K. Pokala , and 
    In IEEE International Conference on Image Processing (ICIP), Apr 2020
    Cite Download .bib
    @inproceedings{chemudupati2020non, author = {Chemudupati, S. and Pokala, P. K. and Seelamantula, C. S.}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, pages = {2885--2889}, title = {Non-Convex Optimization For Sparse Interferometric Phase Estimation}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:GtLg2Ama23sC}, year = {2020} }

2019

  1. ICASSP 19
    FirmNet: A sparsity amplified deep network for solving linear inverse problems
    P. K. Pokala , A. G. Mahurkar , and 
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2019
    Cite Download .bib
    @inproceedings{pokala2019firmnet, author = {Pokala, P. K. and Mahurkar, A. G. and Seelamantula, C. S.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title = {FirmNet: A sparsity amplified deep network for solving linear inverse problems}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:LI9QrySNdTsC}, year = {2019} }
  2. ICASSP 19
    SAMIR: Sparsity amplified iteratively-reweighted beamforming for high-resolution ultrasound imaging
    A. G. Mahurkar , P. K. Pokala , C. S. Thakur , and 
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2019
    Cite Download .bib
    @inproceedings{mahurkar2019samir, author = {Mahurkar, A. G. and Pokala, P. K. and Thakur, C. S. and Seelamantula, C. S.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title = {SAMIR: Sparsity amplified iteratively-reweighted beamforming for high-resolution ultrasound imaging}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:MLfJN-KU85MC}, year = {2019} }
  3. ISBI 19
    Iteratively-reweighted beamforming for high-resolution ultrasound imaging
    A. G. Mahurkar , P. Pokala , and 
    In IEEE 16th International Symposium on Biomedical Imaging (ISBI), Apr 2019
    Cite Download .bib
    @inproceedings{mahurkar2019iteratively, author = {Mahurkar, A. G. and Pokala, P. and Seelamantula, C. S.}, booktitle = {IEEE 16th International Symposium on Biomedical Imaging (ISBI)}, title = {Iteratively-reweighted beamforming for high-resolution ultrasound imaging}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:S16KYo8Pm5AC}, year = {2019} }