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Krishna R. Narayanan

Krishna R. Narayanan

D-Index & Metrics

Computer Science

D-Index
50
Citations
7823
World Ranking
5706
National Ranking
2589

Electronics and Electrical Engineering

D-Index
48
Citations
7362
World Ranking
3125
National Ranking
1174

Research.com Recognitions

  • 2015 - IEEE Fellow For contributions to coding for wireless communications and data storage

Overview

Krishna R. Narayanan is a researcher affiliated with Texas A&M University in the United States. Their work spans multiple areas within engineering and computer science, with a particular focus on electrical and electronic engineering, artificial intelligence, computer networks and communications, computational mechanics, and infectious diseases.

The scientist has contributed to research in several main topics, including:

  • Sparse and Compressive Sensing Techniques
  • Indoor and Outdoor Localization Technologies
  • SARS-CoV-2 detection and testing
  • Wireless Communication Security Techniques
  • Error Correcting Code Techniques
  • Cooperative Communication and Network Coding
  • Advanced MIMO Systems Optimization

Recent publications by Krishna R. Narayanan include:

  • "Pooling RT-PCR or NGS samples has the potential to cost-effectively generate estimates of COVID-19 prevalence in resource limited environments," 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "A Coded Compressed Sensing Scheme for Unsourced Multiple Access," 2020, IEEE Transactions on Information Theory
  • "Unsourced Random Access With Coded Compressed Sensing: Integrating AMP and Belief Propagation," 2021, IEEE Transactions on Information Theory
  • "Sparse IDMA: A Joint Graph-Based Coding Scheme for Unsourced Random Access," 2022, IEEE Transactions on Communications
  • "FASURA: A Scheme for Quasi-Static Massive MIMO Unsourced Random Access Channels," 2022, 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)

Frequent co-authors of Krishna R. Narayanan include:

  • Jean-François Chamberland
  • Vamsi K. Amalladinne
  • Anoosheh Heidarzadeh
  • Jamison R. Ebert
  • Dileep Kalathil

The scientist has published extensively in various venues, with a notable number of publications in the following:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • IEEE Transactions on Communications
  • bioRxiv (Cold Spring Harbor Laboratory)
  • 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)

Krishna R. Narayanan was recognized as an IEEE Fellow in 2015 for contributions to coding for wireless communications and data storage.

Best Publications

  • Joint Physical Layer Coding and Network Coding for Bidirectional Relaying

    Makesh Pravin Wilson;Krishna Narayanan;Henry D Pfister;Alex Sprintson

  • LDPC-based space-time coded OFDM systems over correlated fading channels: Performance analysis and receiver design

    B. Lu;Xiaodong Wang;K.R. Narayanan

  • Weakly Secure Network Coding

    Kapil Bhattad;Krishna R. Narayanan

  • A novel ARQ technique using the turbo coding principle

    K.R. Narayanan;G.L. Stuber

  • Joint Physical Layer Coding and Network Coding for Bi-Directional Relaying

    Makesh Pravin Wilson;Krishna Narayanan;Henry Pfister;Alex Sprintson

  • Iterative Soft-Input Soft-Output Decoding of Reed–Solomon Codes by Adapting the Parity-Check Matrix

    Jing Jiang;K.R. Narayanan

  • A serial concatenation approach to iterative demodulation and decoding

    K.R. Narayanan;G.L. Stuber

  • A Coded Compressed Sensing Scheme for Unsourced Multiple Access

    Vamsi K. Amalladinne;Jean-Francois Chamberland;Krishna R. Narayanan

  • Product accumulate codes: a class of codes with near-capacity performance and low decoding complexity

    Jing Li;K.R. Narayanan;C.N. Georghiades

  • Performance of trellis-coded CPM with iterative demodulation and decoding

    K.R. Narayanan;G.L. Stuber

  • Iterative collision resolution for slotted ALOHA: An optimal uncoordinated transmission policy

    Krishna R. Narayanan;Henry D. Pfister

  • Effect of precoding on the convergence of turbo equalization for partial response channels

    K.R. Narayanan

  • Iterative soft decoding of Reed-Solomon codes

    Jing Jiang;K.R. Narayanan

  • Minimal network coding for multicast

    K. Bhattad;N. Ratnakar;R. Koetter;K.R. Narayanan

  • On the performance of high-rate TPC/SPC codes and LDPC codes over partial response channels

    Jing Li;K.R. Narayanan;E. Kurtas;C.N. Georghiades

  • On the Distortion SNR Exponent of Hybrid Digital–Analog Space–Time Coding

    G. Caire;K. Narayanan

  • Approaching Capacity at High Rates With Iterative Hard-Decision Decoding

    Yung-Yih Jian;Henry D. Pfister;Krishna R. Narayanan

  • Polar Coding and Random Spreading for Unsourced Multiple Access

    Asit Kumar Pradhan;Vamsi K. Amalladinne;Krishna R. Narayanan;Jean-Francois Chamberland

  • Lattices Over Eisenstein Integers for Compute-and-Forward

    Nihat Engin Tunali;Yu-Chih Huang;Joseph J. Boutros;Krishna R. Narayanan

  • A Coupled Compressive Sensing Scheme for Uncoordinated Multiple Access.

    Vamsi K. Amalladinne;Avinash Vem;Dileep Kumar Soma;Krishna R. Narayanan

  • Variational Graph Recurrent Neural Networks

    Ehsan Hajiramezanali;Arman Hasanzadeh;Nick Duffield;Krishna R Narayanan

  • Semi-Implicit Graph Variational Auto-Encoders

    Arman Hasanzadeh;Ehsan Hajiramezanali;Krishna R. Narayanan;Nick Duffield

  • Bayesian Graph Neural Networks with Adaptive Connection Sampling

    Arman Hasanzadeh;Ehsan Hajiramezanali;Shahin Boluki;Nick Duffield

  • Iterative Soft-Input Soft-Output Decoding of Reed-Solomon Codes by Adapting the

    Parity-Check Matrix;Jing Jiang;Krishna R. Narayanan

Frequent Co-Authors

Henry D. Pfister
Henry D. Pfister Duke University
Costas N. Georghiades
Costas N. Georghiades Texas A&M University
Nick Duffield
Nick Duffield Texas A&M University
Gordon L. Stuber
Gordon L. Stuber Georgia Institute of Technology
Mingyuan Zhou
Mingyuan Zhou The University of Texas at Austin
Giuseppe Caire
Giuseppe Caire Technical University of Berlin
Zixiang Xiong
Zixiang Xiong Texas A&M University
Alex Sprintson
Alex Sprintson Texas A&M University
Ashish Khisti
Ashish Khisti University of Toronto
Dongning Guo
Dongning Guo Northwestern University

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