World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
36524
World Ranking
1451
National Ranking
756

Electronics and Electrical Engineering

D-Index
69
Citations
24513
World Ranking
948
National Ranking
398

Research.com Recognitions

  • 2008 - IEEE Fellow For contributions to statistical signal processing in communication systems and networks

Overview

Ananthram Swami is affiliated with the United States Army Research Laboratory in the United States. Their research spans multiple fields primarily within Computer Science and Engineering, with a focus on subfields such as Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Statistical and Nonlinear Physics, and Information Systems.

The scientist's main research topics include Advanced MIMO Systems Optimization, Cooperative Communication and Network Coding, Privacy-Preserving Technologies in Data, Wireless Networks and Protocols, Energy Harvesting in Wireless Networks, IoT and Edge/Fog Computing, and Blockchain Technology Applications and Security.

Ananthram Swami has published extensively, with the majority of their work appearing in venues such as arXiv (Cornell University) with 14 publications, IEEE Transactions on Wireless Communications (4 publications), IEEE Transactions on Network and Service Management (2 publications), Signal Processing, and Information Sciences. Their recent papers include:

  • Negative sampling strategies for contrastive self-supervised learning of graph representations, 2021, Signal Processing
  • Link Scheduling Using Graph Neural Networks, 2022, IEEE Transactions on Wireless Communications
  • A multifactorial optimization paradigm for linkage tree genetic algorithm, 2020, Information Sciences
  • Let's Share: A Game-Theoretic Framework for Resource Sharing in Mobile Edge Clouds, 2020, IEEE Transactions on Network and Service Management
  • Power Allocation for Wireless Federated Learning Using Graph Neural Networks, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The scientist frequently collaborates with several other researchers, including Santiago Segarra, Gunjan Verma, Chirag Rao, Don Towsley, and Boning Li.

In addition to journal and conference papers, Ananthram Swami has contributed to book publications. One notable publication is the book "Network Tomography," published by Cambridge University Press in 2021.

Throughout their career, Ananthram Swami has been recognized with the IEEE Fellow award in 2008, cited for contributions to statistical signal processing in communication systems and networks.

Best Publications

  • The Limitations of Deep Learning in Adversarial Settings

    Nicolas Papernot;Patrick McDaniel;Somesh Jha;Matt Fredrikson

  • Practical Black-Box Attacks against Machine Learning

    Nicolas Papernot;Patrick McDaniel;Ian Goodfellow;Somesh Jha

  • Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks

    Nicolas Papernot;Patrick McDaniel;Xi Wu;Somesh Jha

  • metapath2vec: Scalable Representation Learning for Heterogeneous Networks

    Yuxiao Dong;Nitesh V. Chawla;Ananthram Swami

  • Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework

    Qing Zhao;Lang Tong;Ananthram Swami;Yunxia Chen

  • Hierarchical digital modulation classification using cumulants

    A. Swami;B.M. Sadler

  • Heterogeneous Graph Neural Network

    Chuxu Zhang;Dongjin Song;Chao Huang;Ananthram Swami

  • A Survey on Trust Management for Mobile Ad Hoc Networks

    Jin-Hee Cho;A. Swami;Ing-Ray Chen

  • Joint Design and Separation Principle for Opportunistic Spectrum Access in the Presence of Sensing Errors

    Yunxia Chen;Qing Zhao;A. Swami

  • Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples.

    Nicolas Papernot;Patrick D. McDaniel;Ian J. Goodfellow;Somesh Jha

  • Decentralized cognitive mac for dynamic spectrum access

    Q. Zhao;L. Tong;A. Swami

  • Crafting adversarial input sequences for recurrent neural networks

    Nicolas Papernot;Patrick McDaniel;Ananthram Swami;Richard Harang

  • Cross-layer optimization for energy-efficient wireless communications: a survey

    Guowang Miao;Nageen Himayat;Ye (Geoffrey) Li;Ananthram Swami

  • Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret

    A Anandkumar;N Michael;A K Tang;A Swami

  • Non-Negative Matrix Factorization Revisited: Uniqueness and Algorithm for Symmetric Decomposition

    Kejun Huang;Nicholas D. Sidiropoulos;Ananthram Swami

  • Cumulant-based approach to harmonic retrieval and related problems

    A. Swami;J.M. Mendel

  • Analysis of multiscale products for step detection and estimation

    B.M. Sadler;A. Swami

  • A Survey of Dynamic Spectrum Access: Signal Processing and Networking Perspectives

    Qing Zhao;A. Swami

  • Wireless sensor networks : signal processing and communications perspectives

    Ananthram Swami

  • Channel estimation and symbol detection for block transmission using data-dependent superimposed training

    M. Ghogho;D. McLernon;E. Alameda-Hernandez;A. Swami

  • Cross-layer optimization for energy-efficient wireless communications: a survey

    Unknown

  • Distributed Learning in Wireless Sensor Networks

    Ananthram Swami;Qing Zhao;Yao-Win Hong;Lang Tong

Frequent Co-Authors

Qing Zhao
Qing Zhao Cornell University
Mounir Ghogho
Mounir Ghogho Mohammed VI Polytechnic University
Don Towsley
Don Towsley University of Massachusetts Amherst
Kin K. Leung
Kin K. Leung Imperial College London
Lang Tong
Lang Tong Cornell University
Patrick McDaniel
Patrick McDaniel University of Wisconsin–Madison
Nicholas D. Sidiropoulos
Nicholas D. Sidiropoulos University of Virginia
Brian M. Sadler
Brian M. Sadler United States Army Research Laboratory
Georgios B. Giannakis
Georgios B. Giannakis University of Minnesota
Nicolas Papernot
Nicolas Papernot University of Toronto

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