World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
91
Citations
32634
World Ranking
584
National Ranking
311

Research.com Recognitions

  • 2014 - Fellow, National Academy of Inventors
  • 2013 - Member of the National Academy of Engineering For contributions to the theory and practice of statistical signal processing.
  • 2005 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1994 - IEEE Fellow For contributions to nonlinear filtering and model-based signal processing.

Overview

Jose M. F. Moura is affiliated with Carnegie Mellon University in the United States and has focused their academic research primarily in the field of Computer Science.

Their work extensively covers the subfields of Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, and Education.

The main research topics addressed by Moura include:

  • Advanced Graph Neural Networks
  • Complex Network Analysis Techniques
  • Stochastic Gradient Optimization Techniques
  • Graph Theory and Algorithms
  • Sparse and Compressive Sensing Techniques
  • Neural Networks and Applications
  • Domain Adaptation and Few-Shot Learning

Their recent published papers include:

  • "Graph Signal Processing: History, development, impact, and outlook" (2023) in IEEE Signal Processing Magazine
  • "Graph Signal Processing and Deep Learning: Convolution, Pooling, and Topology" (2020) in IEEE Signal Processing Magazine
  • "Primal-Dual Methods for Large-Scale and Distributed Convex Optimization and Data Analytics" (2020) in Proceedings of the IEEE
  • "Graph Fourier Transform: A Stable Approximation" (2020) in IEEE Transactions on Signal Processing
  • "Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors]" (2020) in IEEE Signal Processing Magazine

Frequent co-authors working collaboratively with Moura include:

  • Joseph Lillie
  • Toshio Fukuda
  • Karen Hawkins
  • Kathleen Kramer
  • Stephen Phillips

Moura has published frequently in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Power Electronics
  • IEEE Signal Processing Magazine
  • IEEE Antennas and Wireless Propagation Letters
  • IEEE Transactions on Signal Processing

The researcher has been recognized with several awards including:

  • Fellow, National Academy of Inventors (2014)
  • Member of the National Academy of Engineering (2013) for contributions to the theory and practice of statistical signal processing
  • Fellow of the American Association for the Advancement of Science (AAAS) (2005)
  • IEEE Fellow (1994) for contributions to nonlinear filtering and model-based signal processing

Best Publications

  • Discrete Signal Processing on Graphs

    A. Sandryhaila;J. M. F. Moura

  • Graph Signal Processing: Overview, Challenges, and Applications

    Antonio Ortega;Pascal Frossard;Jelena Kovacevic;Jose M. F. Moura

  • SPIRAL: Code Generation for DSP Transforms

    M. Puschel;J.M.F. Moura;J.R. Johnson;D. Padua

  • Gossip Algorithms for Distributed Signal Processing

    Alexandros G Dimakis;Soummya Kar;José M F Moura;Michael G Rabbat

  • Discrete Signal Processing on Graphs: Frequency Analysis

    Aliaksei Sandryhaila;Jose M. F. Moura

  • Big Data Analysis with Signal Processing on Graphs: Representation and processing of massive data sets with irregular structure

    Aliaksei Sandryhaila;Jose M.F. Moura

  • Distributed Consensus Algorithms in Sensor Networks With Imperfect Communication: Link Failures and Channel Noise

    S. Kar;J.M.F. Moura

  • Fast Distributed Gradient Methods

    Dusan Jakovetic;Joao Xavier;Jose M. F. Moura

  • Visual Dialog

    Abhishek Das;Satwik Kottur;Khushi Gupta;Avi Singh

  • Distributing the Kalman Filter for Large-Scale Systems

    U.A. Khan;J.M.F. Moura

  • Explainable machine learning in deployment

    Umang Bhatt;Alice Xiang;Shubham Sharma;Adrian Weller

  • Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication

    Soummya Kar;J. M. F. Moura;K. Ramanan

  • Distributed Consensus Algorithms in Sensor Networks: Quantized Data and Random Link Failures

    S. Kar;J.M.F. Moura

  • Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning

    Abhishek Das;Satwik Kottur;Jose M. F. Moura;Stefan Lee

  • Distributed Sensor Localization in Random Environments Using Minimal Number of Anchor Nodes

    U.A. Khan;S. Kar;J.M.F. Moura

  • Modeling of Future Cyber–Physical Energy Systems for Distributed Sensing and Control

    Marija D Ilić;Le Xie;Usman A Khan;José M F Moura

  • Adversarial Multiple Source Domain Adaptation

    Han Zhao;Shanghang Zhang;Guanhang Wu;José M. F. Moura

  • STACS: new active contour scheme for cardiac MR image segmentation

    C. Pluempitiwiriyawej;J.M.F. Moura;Yi-Jen Lin Wu;Chien Ho

  • Signal Recovery on Graphs: Variation Minimization

    Siheng Chen;Aliaksei Sandryhaila;Jose M. F. Moura;Jelena Kovacevic

  • Sensor Networks With Random Links: Topology Design for Distributed Consensus

    S. Kar;J.M.F. Moura

  • Special Issue on Program Generation, Optimization, and Platform Adaptation

    J.M.F. Moura;M. Puschel;D. Padua;J. Dongarra

Frequent Co-Authors

Soummya Kar
Soummya Kar Carnegie Mellon University
Usman A. Khan
Usman A. Khan Tufts University
H. Vincent Poor
H. Vincent Poor Princeton University
Bruno Sinopoli
Bruno Sinopoli Washington University in St. Louis
Aleksandar Kavcic
Aleksandar Kavcic University of Hawaii at Manoa
James H. Garrett
James H. Garrett Carnegie Mellon University
Jelena Kovacevic
Jelena Kovacevic New York University
Dhruv Batra
Dhruv Batra Georgia Institute of Technology
Lucio Soibelman
Lucio Soibelman University of Southern California

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