World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
9629
World Ranking
8257
National Ranking
3541

Electronics and Electrical Engineering

D-Index
42
Citations
9116
World Ranking
4038
National Ranking
1442

Research.com Recognitions

  • 2016 - IEEE Fellow For contributions to network coding

Overview

Christina Fragouli is affiliated with the University of California, Los Angeles in the United States and works primarily in the fields of Computer Science and Engineering. Their research focuses extensively on areas intersecting Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Infectious Diseases, and Management Science and Operations Research.

The main topics of their work include:

  • SARS-CoV-2 detection and testing
  • Advanced Bandit Algorithms Research
  • Millimeter-Wave Propagation and Modeling
  • Advanced MIMO Systems Optimization
  • Cooperative Communication and Network Coding
  • Advanced biosensing and bioanalysis techniques
  • Biosensors and Analytical Detection

Fragouli's notable recent publications are:

  • "Quantization of Distributed Data for Learning," 2021, IEEE Journal on Selected Areas in Information Theory
  • "Community-Aware Group Testing," 2023, IEEE Transactions on Information Theory
  • "Dynamic group testing to control and monitor disease progression in a population," 2022, 2022 IEEE International Symposium on Information Theory (ISIT)
  • "Gaussian 1-2-1 Networks: Capacity Results for mmWave Communications," 2020, IEEE Transactions on Information Theory
  • "Can we break the dependency in distributed detection?," 2022, 2022 IEEE International Symposium on Information Theory (ISIT)

The frequent co-authors collaborating with Fragouli include Suhas Diggavi, Osama A. Hanna, Edmund Yeh, Matthieu R. Bloch, and Parastoo Sadeghi. This indicates an active research network spanning multiple contributors in related fields.

The scientist has been published most prolifically in:

  • IEEE Transactions on Information Theory (21 publications)
  • arXiv (Cornell University) (16 publications)
  • IEEE Journal on Selected Areas in Information Theory (7 publications)
  • 2022 IEEE International Symposium on Information Theory (ISIT) (4 publications)
  • MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM) (2 publications)

Fragouli was recognized as an IEEE Fellow in 2016 for contributions to network coding.

Best Publications

  • Network coding: an instant primer

    Christina Fragouli;Jean-Yves Le Boudec;Jörg Widmer

  • Multi-input multi-output fading channel tracking and equalization using Kalman estimation

    C. Komninakis;C. Fragouli;A.H. Sayed;R.D. Wesel

  • Network Coding Fundamentals

    Christina Fragouli;Emina Soljanin

  • Demo: Microcast: cooperative video streaming on smartphones

    Lorenzo Keller;Anh Le;Blerim Cici;Hulya Seferoglu

  • A Network Coding Approach to Energy Efficient Broadcasting: From Theory to Practice

    C. Fragouli;J. Widmer;J.-Y. Le Boudec

  • Efficient broadcasting using network coding

    Christina Fragouli;Jörg Widmer;Jean-Yves Le Boudec

  • Information flow decomposition for network coding

    C. Fragouli;E. Soljanin

  • Network Coding Applications

    Christina Fragouli;Emina Soljanin

  • Wireless Network Coding: Opportunities & Challenges

    Christina Fragouli;Dina Katabi;Athina Markopoulou;Muriel Medard

  • Controlled multimedia wireless link sharing via enhanced class-based queuing with channel-state-dependent packet scheduling

    C. Fragouli;V. Sivaraman;M.B. Srivastava

  • Low power error control for wireless links

    Paul Lettieri;Christina Fragouli;Mani B. Srivastava

  • Training-based channel estimation for multiple-antenna broadband transmissions

    C. Fragouli;N. Al-Dhahir;W. Turin

  • Online Broadcasting with Network Coding

    Unknown

  • MicroCast: cooperative video streaming on smartphones

    Lorenzo Keller;Anh Le;Blerim Cici;Hulya Seferoglu

  • Low-complexity energy-efficient broadcasting in wireless ad-hoc networks using network coding

    Jörg Widmer;Christina Fragouli;Jean-Yves Le Boudec

  • Turbo-encoder design for symbol-interleaved parallel concatenated trellis-coded modulation

    C. Fragouli;R.D. Wesel

  • Coding schemes for line networks

    P. Pakzad;C. Fragouli;A. Shokrollahi

  • SenseCode: Network coding for reliable sensor networks

    Lorenzo Keller;Emre Atsan;Katerina Argyraki;Christina Fragouli

  • On Feedback for Network Coding

    C. Fragouli;D. Lun;M. Medard;P. Pakzad

  • Transmission techniques for relay-interference networks

    S. Mohajer;S.N. Diggavi;C. Fragouli;D. Tse

  • On average throughput and alphabet size in network coding

    Chandra Chekuri;Christina Fragouli;Emina Soljanin

Frequent Co-Authors

Suhas Diggavi
Suhas Diggavi University of California, Los Angeles
Athina Markopoulou
Athina Markopoulou University of California, Irvine
Emina Soljanin
Emina Soljanin Rutgers, The State University of New Jersey
Naofal Al-Dhahir
Naofal Al-Dhahir The University of Texas at Dallas
Richard D. Wesel
Richard D. Wesel University of California, Los Angeles
Giuseppe Caire
Giuseppe Caire Technical University of Berlin
David Tse
David Tse Stanford University
Paulo Tabuada
Paulo Tabuada University of California, Los Angeles
Chandra Chekuri
Chandra Chekuri University of Illinois at Urbana-Champaign

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