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Engineering and Technology

D-Index
36
Citations
5650
World Ranking
8675
National Ranking
2407

Overview

George V. Moustakides is affiliated with the University of Illinois at Urbana-Champaign in the United States.

Their research focuses primarily within the fields of Computer Science and Decision Sciences. The subfields of study include Management Science and Operations Research, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, and Statistics, Probability and Uncertainty.

Main topics covered by their work include:

  • Advanced Statistical Process Monitoring
  • Optimization and Search Problems
  • Auction Theory and Applications
  • Advanced Bandit Algorithms Research
  • Generative Adversarial Networks and Image Synthesis
  • Neural Networks and Applications
  • Distributed Sensor Networks and Detection Algorithms

Their recent publications include the following papers:

  • Window-Limited CUSUM for Sequential Change Detection, 2023, IEEE Transactions on Information Theory
  • Sequential subspace change point detection, 2020, Sequential Analysis
  • Optimum Multi-Stream Sequential Change-Point Detection With Sampling Control, 2021, IEEE Transactions on Information Theory
  • Quickest Change Detection With Controlled Sensing, 2024, IEEE Journal on Selected Areas in Information Theory
  • Designing GANs: A Likelihood Ratio Approach, 2020, arXiv (Cornell University)

Frequent co-authors collaborating with George V. Moustakides include:

  • Xujun Liu
  • Olgica Milenković
  • Kalliopi Basioti
  • Venugopal V. Veeravalli
  • Liyan Xie

The venues where George V. Moustakides has frequently published are:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • IEEE Journal on Selected Areas in Information Theory
  • Journal of Applied Probability
  • Sequential Analysis

Best Publications

  • Optimal stopping times for detecting changes in distributions

    George V. Moustakides

  • Optimal sensor location for detecting changes in dynamical behavior

    M. Basseville;A. Benveniste;G. Moustakides;A. Rougee

  • The asymptotic local approach to change detection and model validation

    A. Benveniste;M. Basseville;G. Moustakides

  • Fast and Stable Subspace Tracking

    X.G. Doukopoulos;G.V. Moustakides

  • A MaxMin approach for hiding frequent itemsets

    George V. Moustakides;Vassilios S. Verykios

  • Fast Newton transversal filters-a new class of adaptive estimation algorithms

    G.V. Moustakides;S. Theodoridis

  • A Bayesian decision model for cost optimal record matching

    V. S. Verykios;G. V. Moustakides;M. G. Elfeky

  • Blind adaptive channel estimation in ofdm systems

    X.G. Doukopoulos;G.V. Moustakides

  • Joint Detection and Estimation: Optimum Tests and Applications

    George V. Moustakides;Guido H. Jajamovich;Ali Tajer;Xiaodong Wang

  • Detection and diagnosis of changes in the eigenstructure of nonstationary multivariable systems

    M. Basseville;A. Benveniste;G. Moustakides;A Rougée

  • Adaptive Sampling for Linear State Estimation

    Maben Rabi;George V. Moustakides;John S. Baras

  • Optimality of the CUSUM procedure in continuous time

    George V. Moustakides;George V. Moustakides;George V. Moustakides

  • Optimal Joint Target Detection and Parameter Estimation by MIMO Radar

    A. Tajer;G.H. Jajamovich;Xiaodong Wang;G.V. Moustakides

  • Stabilizing the fast Kalman algorithms

    J.-L. botto;G.V. Moustakides

  • Sequential change detection revisited

    George V. Moustakides

  • Decentralized Sequential Hypothesis Testing Using Asynchronous Communication

    G Fellouris;G V Moustakides

  • Study of the transient phase of the forgetting factor RLS

    G.V. Moustakides

  • State-of-the-Art in Bayesian Changepoint Detection

    Alexander G. Tartakovsky;George V. Moustakides

  • A NUMERICAL APPROACH TO PERFORMANCE ANALYSIS OF QUICKEST CHANGE-POINT DETECTION PROCEDURES

    George V. Moustakides;Aleksey S. Polunchenko;Alexander G. Tartakovsky

  • Quickest detection of abrupt changes for a class of random processes

    G.V. Moustakides

Frequent Co-Authors

John S. Baras
John S. Baras University of Maryland, College Park
Venugopal V. Veeravalli
Venugopal V. Veeravalli University of Illinois at Urbana-Champaign
Michèle Basseville
Michèle Basseville Institut de Recherche en Informatique et Systèmes Aléatoires
Alexander G. Tartakovsky
Alexander G. Tartakovsky Moscow Institute of Physics and Technology
Albert Benveniste
Albert Benveniste French Institute for Research in Computer Science and Automation - INRIA
Vassilios S. Verykios
Vassilios S. Verykios Hellenic Open University
H. Vincent Poor
H. Vincent Poor Princeton University
Alvaro A. Cardenas
Alvaro A. Cardenas University of California, Santa Cruz
Kostas E. Bekris
Kostas E. Bekris Rutgers, The State University of New Jersey
Saleem A. Kassam
Saleem A. Kassam University of Pennsylvania

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