Sravan Ankireddy

I am a final year Ph.D candidate in the department of ECE at the University of Texas at Austin, advised by Prof. Hyeji Kim . I am broadly interested in problems at the intersection of deep learning and information theory. My current research focuses on improving the efficiency of foundation models through novel architectures and information-theoretic approaches to input compression.

Previously, I also worked on deep learning based channel coding schemes for PHY layer communication.

I also closely collaborate with Pramod Viswanath (Princeton), Krishna Narayanan (TAMU), Sewoong Oh (UW Seattle), Sandeep Chinchali (UT Austin).

My goal is to combine advances from multiple fields to develop low-complex solutions at the intersection of theory and systems.

In the past, I spent two wonderful years as a Research Engineer at Qualcomm working in the Physical Layer Modelling team in Bangalore, India. Previously, I graduated with Bachelors and Masters in Electrical Engineering from IIT Madras in 2019. I have been extremely fortunate to have worked with Dr. Andrew Thangaraj and Dr. Radha Krishna Ganti for my Master’s Thesis on efficient encoding and decoding of Polar Codes.

In my spare time I enjoy reading books, watching documentaries, hiking, and exploring new cusines.

Recent News

Sep 23, 2025 TimeSqueeze accepted to Recent Advances in Time Series Foundation Models workshop at NeurIPS 2025!.
Jul 16, 2025 RD-JSCC and Deep-OFDM accepted to IEEE Asilomar Conference!
Jul 01, 2025 Awarded the Agnes T. and Charles F. Wiebusch Fellowship from the Cockrell School of Engineering for 2025-2026.
Jun 21, 2025 New Preprint! Deep-OFDM available on arXiv.
Jun 06, 2025 2 papers RD-JSCC and Deep-OFDM accepted to ML4Wireless workshop at ICML 2025!.
Jun 02, 2025 Joined Capital One as Applied Research Intern.
May 27, 2025 New Preprint! RD-JSCC available on arXiv.
Apr 16, 2025 Finished my Progress Review!
Sep 06, 2024 LightCode accepted to JSAC 2025!
May 13, 2024 Joined Apple as Machine Learning Intern.
May 09, 2024 Formed my Ph.D. committee and advanced to candidacy!
May 01, 2024 DeepPolar accepted to ICML 2024!
Apr 16, 2024 New Preprint! LightCode available in arXiv.
Apr 09, 2024 Nested Construction of Polar Codes via Transformers accepted to ISIT 2024!
Apr 06, 2024 Exploring Explainability in Video Action Recognition accepted as spotlight at XAI4CV Workshop, CVPR 2024!
Feb 08, 2024 Our team made it to the finals of Qualcomm Innovation Fellowship (North America) 2024!
Oct 12, 2023 New Preprint! Learning RL-Policies for Joint Beamforming available in arXiv.
Sep 21, 2023 Neural Distributed PCA accepted to NeurIPS 2023!
May 08, 2023 Joined Samsung Research America as AI Research Intern.
Apr 14, 2023 Compressed Error Hybrid ARQ accepted to ISIT 2023!
Nov 13, 2022 Interpreting Neural Min-Sum Decoders accepted to ICC 2023!
Apr 22, 2022 TinyTurbo accepted to ISIT 2022!
Aug 01, 2021 Started Ph.D at The University of Texas at Austin!

Selected Publications

  1. NeurIPS (Workshop)
    TimeSqueeze: Dynamic Patching for Efficient Time Series Forecasting
    Sravan Ankireddy, N. Seleznev, N. Nguyen, and 4 more authors
    In Recent Advances on Time Series Foundation Models Workshop at NeurIPS , 2025
  2. ICML
    DeepPolar.png
    DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning
    Ashwin Hebbar*, Sravan Ankireddy*, Hyeji Kim, and 2 more authors
    In Proceedings of International Conference on Machine Learning (ICML) , Jul 2024
  3. NeurIPS
    NDPCA.png
    Task-Aware Distributed Source Coding Under Dynamic Bandwidth
    Po-han Li*, Sravan Ankireddy*, Ruihan Philip Zhao, and 5 more authors
    Advances in Neural Information Processing Systems (NeurIPS), Dec 2023
  4. ISIT
    NestedPolar.png
    Nested Construction of Polar Codes via Transformers
    Sravan Ankireddy, S. Ashwin Hebbar, Heping Wan, and 2 more authors
    In Proceedings of the 2024 IEEE International Symposium on Information Theory (ISIT) , Jul 2024
  5. ISIT
    TinyTurbo.png
    TinyTurbo: Efficient Turbo Decoders on Edge
    S. Ashwin Hebbar, Rajesh K Mishra, Sravan Ankireddy, and 3 more authors
    In Proceedings of the 2022 IEEE International Symposium on Information Theory (ISIT) , Jul 2022
  6. JSAC
    LightCode.png
    LightCode: Light Analytical and Neural Codes for Channels with Feedback
    Sravan Ankireddy, Krishna Narayanan, and Hyeji Kim
    IEEE Journal on Selected Areas in Communications (JSAC), Mar 2024