World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
67
Citations
16457
World Ranking
2209
National Ranking
1106

Electronics and Electrical Engineering

D-Index
61
Citations
13834
World Ranking
1543
National Ranking
626

Research.com Recognitions

  • 2006 - IEEE Fellow For contributions to wireless communication systems and sensor networks.

Overview

Venugopal V. Veeravalli is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research focuses on areas spanning computer science and decision sciences, with specific attention to artificial intelligence, statistics, probability and uncertainty, computer networks and communications, and electrical and electronic engineering.

They have contributed extensively to topics such as advanced statistical process monitoring, statistical methods and inference, data-driven disease surveillance, advanced statistical methods and models, advanced bandit algorithms research, sparse and compressive sensing techniques, and distributed sensor networks and detection algorithms.

The scientist has published in a diverse range of prominent venues, indicating an active engagement with academic dissemination. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • IEEE Journal on Selected Areas in Information Theory
  • Sequential Analysis
  • 2022 IEEE International Symposium on Information Theory (ISIT)

Some notable recent papers authored or coauthored by Venugopal V. Veeravalli are:

  • Sequential (Quickest) Change Detection: Classical Results and New Directions, 2021, IEEE Journal on Selected Areas in Information Theory
  • Sequential algorithms for moving anomaly detection in networks, 2020, Sequential Analysis
  • Quickest Change Detection With Non-Stationary Post-Change Observations, 2022, IEEE Transactions on Information Theory
  • Decentralized Heterogeneous Multi-Player Multi-Armed Bandits With Non-Zero Rewards on Collisions, 2021, IEEE Transactions on Information Theory
  • Non-Parametric Quickest Mean-Change Detection, 2022, IEEE Transactions on Information Theory

Their frequent collaborators include:

  • Yuchen Liang
  • Aditya Deshmukh
  • Akshayaa Magesh
  • Shaofeng Zou
  • Jing Liu

Their contributions to wireless communication systems and sensor networks have been recognized with professional distinctions, including being named an IEEE Fellow in 2006.

Best Publications

  • Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization

    S. Sundhar Ram;Angelia Nedic;Venugopal V. Veeravalli

  • Cooperative Sensing for Primary Detection in Cognitive Radio

    J. Unnikrishnan;V.V. Veeravalli

  • Decentralized detection in sensor networks

    J.-F. Chamberland;V.V. Veeravalli

  • Gaussian Interference Networks: Sum Capacity in the Low-Interference Regime and New Outer Bounds on the Capacity Region

    V.S. Annapureddy;V.V. Veeravalli

  • A sequential procedure for multihypothesis testing

    C.W. Baum;V.V. Veeravalli

  • Asymptotic results for decentralized detection in power constrained wireless sensor networks

    J.-F. Chamberland;V.V. Veeravalli

  • Gaussian orthogonal relay channels: optimal resource allocation and capacity

    Yingbin Liang;V.V. Veeravalli

  • Wireless Sensors in Distributed Detection Applications

    J.-F. Chamberland;V.V. Veeravalli

  • Decentralized quickest change detection

    V.V. Veeravalli

  • Incremental Stochastic Subgradient Algorithms for Convex Optimization

    S. Sundhar Ram;A. Nedić;V. V. Veeravalli

  • Quickest Change Detection

    Venugopal V. Veeravalli;Taposh Banerjee

  • Energy-efficient detection in sensor networks

    S. Appadwedula;V.V. Veeravalli;D.L. Jones

  • Asynchronous gossip algorithms for stochastic optimization

    S. Sundhar Ram;A. Nedic;V. V. Veeravalli

  • Cooperative Relay Broadcast Channels

    Yingbin Liang;V.V. Veeravalli

  • General Asymptotic Bayesian Theory of Quickest Change Detection

    A. G. Tartakovsky;V. V. Veeravalli

  • Decentralized sequential detection with a fusion center performing the sequential test

    V.V. Veeravalli;T. Basar;H.V. Poor

  • Resource Allocation for Wireless Fading Relay Channels: Max-Min Solution

    Yingbin Liang;V.V. Veeravalli;H.V. Poor

  • Decentralized Detection With Censoring Sensors

    S. Appadwedula;V.V. Veeravalli;D.L. Jones

  • The coverage-capacity tradeoff in cellular CDMA systems

    V.V. Veeravalli;A. Sendonaris

  • Capacity of noncoherent time-selective Rayleigh-fading channels

    Yingbin Liang;V.V. Veeravalli

  • Gaussian Interference Networks: Sum Capacity in the Low Interference Regime and New Outer Bounds on the Capacity Region

    V. Sreekanth Annapureddy;Venugopal V. Veeravalli

  • Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization

    S. Sundhar Ram;A. Nedich;V. V. Veeravalli

Frequent Co-Authors

Yingbin Liang
Yingbin Liang The Ohio State University
Angelia Nedic
Angelia Nedic Arizona State University
Sean P. Meyn
Sean P. Meyn University of Florida
Akbar M. Sayeed
Akbar M. Sayeed Independent Scientist / Consultant, US
George V. Moustakides
George V. Moustakides University of Illinois at Urbana-Champaign
Alexander G. Tartakovsky
Alexander G. Tartakovsky Moscow Institute of Physics and Technology
Alejandro D. Dominguez-Garcia
Alejandro D. Dominguez-Garcia University of Illinois at Urbana-Champaign
Tamer Basar
Tamer Basar University of Illinois at Urbana-Champaign
Olgica Milenkovic
Olgica Milenkovic University of Illinois at Urbana-Champaign
Pierre Moulin
Pierre Moulin University of Illinois at Urbana-Champaign

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