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Fady Alajaji

Fady Alajaji

Fady Alajaji publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Fady Alajaji sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

The last bar groups every scientist with 991 publications or more.

Fady Alajaji D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Fady Alajaji sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

The last bar groups every scientist with 131 D-Index or more.

Overview

Fady Alajaji is affiliated with Queen's University in Canada and has contributed extensively to the field of computer science. Their research output encompasses over 50 publications, with focal interests in areas such as computer networks, artificial intelligence, electrical engineering, and statistical physics.

Their main fields of study include:

  • Computer Networks and Communications
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Statistical and Nonlinear Physics
  • Computer Vision and Pattern Recognition

Alajaji's work also covers a variety of specialized topics within these fields, including:

  • Wireless Communication Security Techniques
  • Adversarial Robustness in Machine Learning
  • Complex Network Analysis Techniques
  • Cooperative Communication and Network Coding
  • Generative Adversarial Networks and Image Synthesis
  • Error Correcting Code Techniques
  • Distributed Sensor Networks and Detection Algorithms

The scientist has regularly published in several venues, with a strong presence in:

  • arXiv (Cornell University)
  • Entropy
  • Neural Computation
  • SIAM Journal on Control and Optimization
  • IEEE Transactions on Information Theory

Recent papers authored by Alajaji or in collaboration include:

  • A Unifying Generator Loss Function for Generative Adversarial Networks, 2024, Entropy
  • Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures, 2023, IEEE Transactions on Information Forensics and Security
  • Rényi Cross-Entropy Measures for Common Distributions and Processes with Memory, 2022, Entropy
  • Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection, 2021, Neural Computation
  • Consensus Using a Network of Finite Memory Pólya Urns, 2022, IEEE Control Systems Letters

Fady Alajaji has collaborated frequently with other researchers including Bahman Gharesifard, Tamás Linder, Philippe Burlina, Somya Singh, and Ling-Hua Chang. The number of collaborations ranges from five to twelve joint publications with these individuals, indicating ongoing research partnerships.

Best Publications

  • Channel codes that exploit the residual redundancy in CELP-encoded speech

    F.I. Alajaji;N.C. Phamdo;T.E. Fuja

  • The Kullback-Leibler divergence rate between Markov sources

    Z. Rached;F. Alajaji;L.L. Campbell

  • Hybrid Digital–Analog Source–Channel Coding for Bandwidth Compression/Expansion

    M. Skoglund;N. Phamdo;F. Alajaji

  • Rényi divergence measures for commonly used univariate continuous distributions

    Manuel Gil;Fady Alajaji;Tamás Linder

  • A communication channel modeled on contagion

    F. Alajaji;T. Fuja

  • Estimation Efficiency Under Privacy Constraints

    Shahab Asoodeh;Mario Diaz;Fady Alajaji;Tamas Linder

  • On the joint source-channel coding error exponent for discrete memoryless systems

    Yangfan Zhong;F. Alajaji;L.L. Campbell

  • Information Extraction Under Privacy Constraints

    Shahab Asoodeh;Mario Diaz;Fady Alajaji;Tamás Linder

  • A lower bound on the probability of a finite union of events

    H. Kuai;F. Alajaji;G. Takahara

  • Tight error bounds for nonuniform signaling over AWGN channels

    H. Kuai;F. Alajaji;G. Takahara

  • Turbo codes for nonuniform memoryless sources over noisy channels

    Guang-Chong Zhu;F. Alajaji

  • Design and performance of VQ-based hybrid digital-analog joint source-channel codes

    M. Skoglund;N. Phamdo;F. Alajaji

  • Detection of binary Markov sources over channels with additive Markov noise

    F. Alajaji;N. Phamdo;N. Farvardin;T.E. Fuja

  • Quantization of memoryless and Gauss-Markov sources over binary Markov channels

    Nam Phamdo;F. Alajaji;N. Farvardin

  • Joint source-channel turbo coding for binary Markov sources

    Guang-Chong Zhu;F. Alajaji

  • Transmission of nonuniform memoryless sources via nonsystematic turbo codes

    Guang-Chong Zhu;F. Alajaji;J. Bajcsy;P. Mitran

  • Renyi's divergence and entropy rates for finite alphabet Markov sources

    Z. Rached;F. Alajaji;L. Lorne Campbell

  • Image segmentation and labeling using the Polya urn model

    A. Banerjee;P. Burlina;F. Alajaji

  • Feedback does not increase the capacity of discrete channels with additive noise

    F. Alajaji

  • Pairwise optimization of modulation constellations for non-uniform sources

    B Moore;G Takahara;F Alajaji

Frequent Co-Authors

Tamas Linder
Tamas Linder Queen's University
Philippe Burlina
Philippe Burlina Johns Hopkins University
Yunghsiang S. Han
Yunghsiang S. Han University of Electronic Science and Technology of China
Mikael Skoglund
Mikael Skoglund Royal Institute of Technology
Nariman Farvardin
Nariman Farvardin Stevens Institute of Technology
Norman C. Beaulieu
Norman C. Beaulieu Beijing University of Posts and Telecommunications
Rama Chellappa
Rama Chellappa Johns Hopkins University

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