Journal Publications

• Successive refinement in large-Scale computation: Advancing model inference applications
  H. Esfahanizadeh, A. Cohen, S. Shamai, M. Médard, IEEE Transactions on Signal Processing, 2024 (under review).
• Harnessing degrees of freedom of spatially coupled graph codes for agile data storages
  H. Esfahanizadeh, L. Tauz, and L. Dolecek, IEEE BITS the Information Theory Magazine, 2024.
• Sliding window network coding enables neXt generation URLLC millimeter-wave networks
  E. Dias, D. Raposo, H. Esfahanizadeh, A. Cohen, T. Ferreira, M. Luís, S. Sargento, M. Médard, IEEE Networking Letters, 2023.
• A Unified, SNR-aware SC-LDPC code design with applications to magnetic recording
  H. Esfahanizadeh (co first author), E. Ram (co first author), Y. Cassuto, L. Dolecek, IEEE Transactions on Magnetics, Sep. 2022.
• Stream distributed coded computing
  A. Cohen (co first author), G. Thiran (co first author), H. Esfahanizadeh (co first author) and M. Médard, IEEE Journal on Selected Areas in Information Theory, vol. 2, no. 3, pp. 1025-1040, Sep. 2021.
• Bringing network coding into SDN: Architectural study for meshed heterogeneous communications
  A. Cohen, H. Esfahanizadeh, B. Sousa, J. Vilela, M. Luís, D. Raposo, F. Michel, S. Sargento, M. Médard, IEEE Communications Magazine, vol. 59, no. 4, pp. 37-43, Apr. 2021.
• Multi-dimensional spatially-coupled code design: Enhancing the cycle properties
  H. Esfahanizadeh, L. Tauz, and L. Dolecek, IEEE Transactions on Communications, vol. 68, no. 5, pp. 2653-2666, May 2020.
• Finite-length construction of high performance spatially-coupled codes via optimized partitioning and lifting
  H. Esfahanizadeh, A. Hareedy, and L. Dolecek, IEEE Transactions on Communications, vol. 67, no. 1, pp. 3-16, Jan. 2019.
• Spatially-coupled codes for channels with SNR variation
  H. Esfahanizadeh, A. Hareedy, R. Wu, R. Galbraith, and L. Dolecek, IEEE Transactions on Magnetics, vol. 54, no. 11, pp. 1-5, Nov. 2018.
• Spatially coupled codes optimized for magnetic recording applications
  H. Esfahanizadeh, A. Hareedy, and L. Dolecek, IEEE Transactions on Magnetics, vol. 53, no. 2, pp. 1-11, Feb. 2017.
• Optimized design of finite-length separable circulant-based spatially-coupled codes: An absorbing set-based analysis
  B. Amiri, A. Reisizadehmobarakeh, H. Esfahanizadeh, J. Kliewer, and L. Dolecek, IEEE Transactions on Communications, vol. 64, no. 10, pp. 4029-4043, Oct. 2016.

Conference Publications

• TexShape: Information theoretic sentence embedding for language models
  H. Kaan Kale (co first author), H. Esfahanizadeh (co first author), N. Elias, O. Baser, M. Médard,, S. Vishwanath, IEEE International Symposium on Information Theory (ISIT), 2024 (under review).
• InfoShape: Task-based neural data shaping via mutual information
  H. Esfahanizadeh (co first author), W. Wu (co first author), M. Ghobadi, R. Barzilay, M. Médard, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023 [slides] [video].
• Lightning: A reconfigurable photonic-electronic smartnic for fast and energy-efficient inference
  Z. Zhong, M. Yang, J. Lang, C. Williams, L. Kronman, A. Sludds, H. Esfahanizadeh, D. Englund, M. Ghobadi, ACM SIGCOMM, New York, USA, 2023.
• A non-asymptotic analysis of mismatched guesswork
  A. Mariona, H. Esfahanizadeh, R. D’Oliveira, and M. Médard, IEEE International Symposium on Information Theory (ISIT), Taipei, Taiwan, 2023.
• Millimeter-Wave Testbed and Modeling in NeXt Generation URLLC Communications
  E. Dias, D. Raposo, H. Esfahanizadeh, A. Cohen, V. Vasudevan, T. Ferreira, M. Luís, S. Sargento, M. Médard, IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Boston, MA, 2023.
• Distributed computations with layered resolution
  H. Esfahanizadeh, A. Cohen, M. Médard, and S. Shamai, IEEE International Conference on Cloud Networking (CloudNet), Paris, France, 2022 (best paper runner-up).
• A bivariate invariance principle
  A. Mariona, H. Esfahanizadeh, R. D’Oliveira, and M. Médard, IEEE Information Theory Workshop (ITW), Mumbai, India, 2022.
• Stream iterative distributed coded computing for learning applications in heterogeneous systems
  H. Esfahanizadeh, A. Cohen,  and M. Médard, IEEE International Conference on Computer Communications (Infocom), Virtual Conference, 2022.
• Spatially coupled codes with sub-block locality: Joint finite length-asymptotic design approach
  H. Esfahanizadeh (co first author), E. Ram (co first author), Y. Cassuto, L. Dolecek, IEEE International Symposium on Information Theory (ISIT), Los Angeles, CA, 2020.
• Non-uniform windowed decoding for multi-dimensional spatially-coupled LDPC codes
  L Tauz, H Esfahanizadeh, L Dolecek, IEEE International Symposium on Information Theory (ISIT), Los Angeles, CA, 2020.
• A finite-length construction of irregular spatially-coupled codes
  H. Esfahanizadeh, R. Wu, and L. Dolecek, IEEE Information Theory Workshop (ITW), Visby, Gotland, 2019.
• Spatially-coupled code design for partial-response channels: Optimal object-minimization approach
  A. Hareedy, H. Esfahanizadeh, A. Tan, and L. Dolecek, IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, 2018.
• Multi-dimensional spatially-coupled code design through informed relocation of circulants
  H. Esfahanizadeh, A. Hareedy, and L. Dolecek, Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, IL, USA, 2018.
• High performance non-binary spatially-coupled codes for flash memories
  A. Hareedy, H. Esfahanizadeh, and L. Dolecek, IEEE Information Theory Workshop (ITW), Kaohsiung, 2017.
• A novel combinatorial framework to construct spatially-coupled codes: Minimum overlap partitioning
  H. Esfahanizadeh, A. Hareedy, and L. Dolecek, IEEE International Symposium on Information Theory (ISIT), Aachen, 2017.
• The finite length analysis of spatially-coupled codes for 1-D magnetic recording channels
  H. Esfahanizadeh, A. Hareedy, and L. Dolecek, Asilomar Conference on Signals, Systems and Computers (Asilomar), Pacific Grove, CA, 2016.
• A matrix completion approach to linear index coding problem
  H. Esfahanizadeh, F. Lahouti, and B. Hassibi, IEEE Information Theory Workshop (ITW), Hobart, TAS, 2014.

Preprints

• PEOPL: Characterizing privately encoded open datasets with public labels
  H. Esfahanizadeh, A. Yala, D’Oliveira, A. Jaba, V. Quach, K. Duffy, T. Jaakkola, V. Vaikuntanathan, M. Ghobadi, R. Barzilay, M. Médard, arXiv, 2023.
• Syfer: Neural obfuscation for private data release
  A. Yala, Victor Quach, H. Esfahanizadeh, R. D’Oliveira, K. Duffy, M. Médard, T. Jaakkola, R. Barzilay, arXiv, 2022.
• NeuraCrypt: hiding private health data via random neural networks for public training
  A. Yala (co first author), H. Esfahanizadeh (co first author), D’Oliveira, K. Duffy, M. Ghobadi, T. Jaakkola, V. Vaikuntanathan, R. Barzilay, M. Médard, arXiv, 2021.

Workshop Abstracts

• Non-uniform windowed decoding for multi-dimensional spatially-coupled LDPC codes
  Lev Tauz, Homa Esfahanizadeh, and Lara Dolecek, Non-Volatile Memories Workshop (NVMW), San Diego, CA, USA, Mar. 2021.
  Winner of memorable paper award.
• Multi-dimensional spatially-coupled code design with improved cycle properties
  Homa Esfahanizadeh, Ahmed Hareedy, and Lara Dolecek, Non-Volatile Memories Workshop (NVMW), San Diego, CA, USA, Mar. 2019.
• A three-stage approach for designing non-binary spatially-coupled codes for Flash memories
  A. Hareedy, H. Esfahanizadeh, and L. Dolecek, Non-Volatile Memories Workshop (NVMW), San Diego, CA, USA, Mar. 2018.
  Winner of memorable paper award.

Ph.D. Dissertation

H. Esfahanizadeh, Spatially-Coupled Codes for Modern Data Storage Systems, University of California, Los Angeles (UCLA), 2019