Google Scholar page HERE.

Journal

  • SPRING: a next-generation compressor for FASTQ data.
    Chandak, S., Tatwawadi, K., Ochoa, I., Hernaez, M., & Weissman, T.
    Bioinformatics, Volume 35, Issue 15, 1 August 2019, Pages 2674–2676
    [Bioinformatics] [GitHub]

  • Compression of genomic sequencing reads via hash-based reordering: algorithm and analysis.
    Chandak, S., Tatwawadi, K., & Weissman, T.
    Bioinformatics, Volume 34, Issue 4, 15 February 2018, Pages 558–567
    [Bioinformatics] [GitHub]

  • An Actively Detuned Wireless Power Receiver With Public Key Cryptographic Authentication and Dynamic Power Allocation.
    Desai, N.V., Juvekar, C., Chandak, S., & Chandrakasan, A.P.
    IEEE Journal of Solid-State Circuits, vol. 53, no. 1, pp. 236-246, Jan. 2018.
    [IEEE] [press]

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Conference

  • Overcoming high nanopore basecaller error rates for DNA storage via basecaller-decoder integration and convolutional codes.
    Chandak, S., Neu, J., Tatwawadi, K., Mardia, J., Lau, B., Kubit, M., Hulett, R., Griffin, P., Wootters, M., Weissman, T., & Ji, H.
    ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 8822-8826.
    [IEEE] [bioRxiv] [GitHub] [slides] [video]

  • LFZip: Lossy compression of multivariate floating-point time series data via improved prediction.
    Chandak S., Tatwawadi K., Wen C., Wang L., Aparicio J., & Weissman T.
    2020 Data Compression Conference (DCC), Snowbird, UT, USA, 2020, pp. 342-351.
    [IEEE] [arXiv] [GitHub] [slides] [video]

  • DZip: improved general-purpose lossless compression based on novel neural network modeling.
    Goyal, M., Tatwawadi, K., Chandak, S., & Ochoa, I.
    2020 Data Compression Conference (DCC), Snowbird, UT, USA, 2020, pp. 372-372.
    [IEEE] [arXiv] [GitHub] [poster]

  • Genie: an MPEG-G Conformant Software to Compress Genomic Data.
    Bliss B., Allen J., Baheti S., Bockol M., Chandak S., Delgado J., Fostier J., Gelpi J., Hart S., Arrazola M., Hudson M., Kalmbach M., Klee E., Mainzer L., Müntefering F., Naro D., Ochoa-Alvarez I., Ostermann J., Paridaens T., Ross C., Voges J., Wieben E., Yang M., Weissman T. & Wiepert M.
    International Conference for High Performance Computing, Networking, Storage and Analysis (SC19), p. (poster), Denver, CO (US), November 2019.
    [SC19] [poster] [summary] [GitHub]

  • Improved read/write cost tradeoff in DNA-based data storage using LDPC codes.
    Chandak, S., Tatwawadi, K., Lau, B., Mardia, J., Kubit, M., Neu, J., Griffin, P., Wootters, M., Weissman, T., & Ji, H.
    2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, IL, USA, 2019, pp. 147-156.
    [IEEE] [bioRxiv] [GitHub] [slides]

  • Towards improved lossy image compression: Human image reconstruction with public-domain images.
    Bhown, A., Mukherjee, S., Yang, S., Chandak, S., Fischer-Hwang, I., Tatwawadi, K., Fan, J., & Weissman, T.
    2019 Data Compression Conference (DCC), Snowbird, UT, USA, 2019, pp. 558-558.
    [IEEE] [arXiv] [website] [poster] [press]

  • DeepZip: Lossless Data Compression using Recurrent Neural Networks.
    Goyal, M., Tatwawadi, K., Chandak, S., & Ochoa, I.
    2019 Data Compression Conference (DCC), Snowbird, UT, USA, 2019, pp. 575-575.
    [IEEE] [arXiv] [poster] [GitHub]

  • An Actively Detuned Wireless Power Receiver With Public Key Cryptographic Authentication and Dynamic Power Allocation.
    Desai, N.V., Juvekar, C., Chandak, S., & Chandrakasan, A.P.
    2017 IEEE International Solid-State Circuits Conference (ISSCC), San Francisco, CA, 2017, pp. 366-367.
    [IEEE] [press]

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Patents

  • Systems and Methods for Compressing Genetic Sequencing Data and Uses Thereof.
    Chandak, S., Tatwawadi, K., Ochoa, I., Hernaez, M., & Weissman, T.
    [patent application]

  • Embedded Deep Compression for Time Series Data.
    Wen, C., Wang, L., Aparicio, J., Chandak, S., Tatwawadi, K., & Weissman, T.
    [patent application filed]

  • Detuning for a resonant wireless power transfer system including cryptography.
    Chandrakasan, A.P., Desai, N.V., Juvekar, C., & Chandak, S.
    [patent] [tech brief]

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Preprints

  • Impact of lossy compression of nanopore raw signal data on basecalling and consensus accuracy.
    Chandak, S., Tatwawadi, K., Sridhar, S. & Weissman, T.
    Submitted to Bioinformatics
    [biorXiv] [GitHub]

  • Tutorial on algebraic deletion correction codes.
    Tatwawadi, K., & Chandak, S.
    [arXiv] [GitHub]

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Talks

  • Error correcting codes for DNA based data storage.
    ISMB/ECCB 2019, Basel, July 21-25, 2019.
    [slides] [video]

  • SPRING: A next-generation compressor for FASTQ data. (Invited)
    ISMB/ECCB 2019, Basel, July 21-25, 2019.
    [slides] [video]

  • SPRING: A next-generation compressor for FASTQ data. (Invited)
    Stanford Compression Workshop 2019, Stanford, February 15, 2019.
    [slides] [video]

  • SPRING: A practical compressor for short-read FASTQ data. (Invited)
    56th Annual Allerton Conference on Communication, Control, and Computing, Urbana, IL, October 3-5, 2018.
    [slides]

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Posters

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