Neha Sangwan

My PhD thesis titled 'Communication with Byzantine Users' received the 2025 Thomas M. Cover Dissertation Award by the IEEE Information theory Society! 

Publications (dblp):

• "Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements," N. Sangwan, A. Mazumdar The International Conference on Machine Learning (ICML), 2025. (arXiv)

• "Byzantine Distributed Function Computation," H. K. Anilkumar, N. Sangwan, V. Narayanan, and V. Prabhakaran

IEEE International Symposium on Information Theory (ISIT), 2025. (Extended version at arXiv)

• ''Sequential Hypothesis Testing of Quantum States, '' G. Fields, N. Sangwan, J. Postlewaite, S. Guha, T. Javidi, IEEE Information Theory Workshop (ITW), 2024.

• "Hypothesis Testing for Adversarial Channels: Chernoff-Stein Exponents," E. Modak, N. Sangwan, M. Bakshi, B. Dey, and V. Prabhakaran,
  IEEE International Symposium on Information Theory (ISIT), 2023. (Extended version at arXiv) 

• ''Complete Characterization of Broadcast and Pseudo-Signatures from Correlations,'' V. Narayanan, V. Prabhakaran, N. Sangwan and S. Watanabe,
  Eurocrypt, 2023. (ePrint Archive)

• ''Byzantine Consensus Over Broadcast Channels,'' N. Sangwan, V. Narayanan, and V. Prabhakaran

IEEE International Symposium on Information Theory (ISIT), 2022. (Extended version at arXiv) (slides) 

• • • Jack Keil Wolf ISIT Student Paper Award (best student paper award)

• "Communication With Adversary Identification in Byzantine Multiple Access Channels,'' N. Sangwan, M. Bakshi, B. Dey, and V. Prabhakaran, 

IEEE International Symposium on Information Theory (ISIT), 2021. (Extended version at arXiv) (slides) (video)

• • • Journal version: Byzantine Multiple Access Channels -- Part II: Communication with Adversary Identification, IEEE Transactions on Information Theory, 2025.

• "Compound Arbitrarily Varying Channels,'' S. Chaudhuri, N. Sangwan, M. Bakshi, B. Dey, and V. Prabhakaran,
  IEEE International Symposium on Information Theory (ISIT), 2021. (Extended version at arXiv) 

• "Multiple Access Channels with Adversarial Users,'' N. Sangwan, M. Bakshi, B. Dey, and V. Prabhakaran,
  IEEE International Symposium on Information Theory (ISIT), 2019. (Extended version at arXiv) (slides)

• "Multiple Access Channels with Byzantine Users,'' N. Sangwan, M. Bakshi, B. Dey, and V. Prabhakaran,
  IEEE Information Theory Workshop (ITW), 2019. (Extended version at arXiv) (slides)

  • • Journal version: Byzantine Multiple Access Channels -- Part I: Reliable Communcation, IEEE Transactions on Information Theory, 2024.

Talks/Lectures/Posters:

• Talk on Byzantine Multiple Access Channels at the hybrid Post-Shannon meeting at Technical University of Munich (TUM), 2022. 

• Talk on Byzantine Multiple Access Channels at the Graduation Day Forum, SPCOM'2022 (Best presentation award)

• Poster on Byzantine Consensus over noisy channels at JTG Summer School, 2022 (Best poster award)

• Talk on Byzantine Multiple Access Channels at 3rd Buffalo Day for 5G and Wireless Internet of Things, 2021. (slides)

• Communication With Adversary Identification in Byzantine Multiple Access Channels:

  • • Poster at Croucher Summer Course in Information Theory (CSCIT), 2021, Hong Kong (runner up for the best poster award). 

    • Conference presentation at ISIT, 2021.

    • talk at STCS symposium, 2021.

    • Poster at North American School of Information Theory (NASIT), 2021.

• Lecture on Grover's search algorithm in the Quantum computation course at STCS Vigyan Vidushi, 2021. (slides)

• Authenticated communication and reliable communication in Byzantine Multiple Access Channels (ISIT'19 and ITW'19 submissions):

  • • Conference presentation at ISIT, 2019.

    • Talk at STCS Symposium, 2020.

    • Poster at Croucher Summer Course in Information Theory (CSCIT), 2019, Hong Kong (runner up for the best poster award). 

    • Poster at JTG summer school in information theory, 2019, Chennai.

    • Poster at Bombay information theory seminar (BITS), 2020, Mumbai.

Projects:

• Masters project at TIFR on  "Authenticated Communication over Adversarial Channels"  (report) 

• Mastes project at CMI  on "Classification of rotated and translated images using bispectrum invariants" (report)