Jose M. F. Moura

Jose M. F. Moura

Carnegie Mellon University

H-index: 89

North America-United States

About Jose M. F. Moura

Jose M. F. Moura, With an exceptional h-index of 89 and a recent h-index of 58 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Graph Signal Processing, Distributed Signal Processing, Signal and Image Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Inferring the Graph of Networked Dynamical Systems under Partial Observability and Spatially Colored Noise

PhyOT: Physics-informed object tracking in surveillance cameras

Gradient Networks

Learning the causal structure of networked dynamical systems under latent nodes and structured noise

Graph convolutional neural networks in the companion model

System and Method for Deep Learning for Tracking Cortical Spreading Depression Using EEG

Graph Signal Processing: The 2D Companion Model

Networked signal and information processing: Learning by multiagent systems

Jose M. F. Moura Information

University

Position

___

Citations(all)

33255

Citations(since 2020)

15448

Cited By

24899

hIndex(all)

89

hIndex(since 2020)

58

i10Index(all)

364

i10Index(since 2020)

166

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Jose M. F. Moura Skills & Research Interests

Graph Signal Processing

Distributed Signal Processing

Signal and Image Processing

Top articles of Jose M. F. Moura

Title

Journal

Author(s)

Publication Date

Inferring the Graph of Networked Dynamical Systems under Partial Observability and Spatially Colored Noise

Augusto Santos

Diogo Rente

Rui Seabra

José MF Moura

2024/4/14

PhyOT: Physics-informed object tracking in surveillance cameras

Kawisorn Kamtue

Jose MF Moura

Orathai Sangpetch

Paulo Garcia

2024/4/14

Gradient Networks

Journal of Physics A: Mathematical and Theoretical

Zoltan Toroczkai

Balazs Kozma

Kevin E Bassler

NW Hengartner

G Korniss

2008/4/2

Learning the causal structure of networked dynamical systems under latent nodes and structured noise

Proceedings of the AAAI Conference on Artificial Intelligence

Augusto Santos

Diogo Rente

Rui Seabra

José MF Moura

2024/3/24

Graph convolutional neural networks in the companion model

John Shi

Shreyas Chaudhari

José MF Moura

2024/4/14

System and Method for Deep Learning for Tracking Cortical Spreading Depression Using EEG

2024/2/15

Graph Signal Processing: The 2D Companion Model

John Shi

José MF Moura

2024/4/14

Networked signal and information processing: Learning by multiagent systems

Stefan Vlaski

Soummya Kar

Ali H Sayed

José MF Moura

2023/7/19

Peer-to-Peer Learning+ Consensus with Non-IID Data

arXiv preprint arXiv:2312.13602

Srinivasa Pranav

José MF Moura

2023/12/21

Rejoinder: The Emerging Role of Data Science in Cybersecurity

Alfred Hero

Soummya Kar

Jose Moura

Joshua Neil

H Vincent Poor

...

2023/4/20

Recovering the graph underlying networked dynamical systems under partial observability: a deep learning approach

Proceedings of the AAAI Conference on Artificial Intelligence

Sérgio Machado

Anirudh Sridhar

Paulo Gil

Jorge Henriques

José MF Moura

...

2023/6/26

Knowledge Distillation by Compressive Sampling

Shreyas Chaudhari

José MF Moura

2023/10/29

Forecasting COVID-19 Dynamics: Clustering, Generalized Spatiotemporal Attention, and Impacts of Mobility and Geographic Proximity

IEEE International Conference on Data Engineering (ICDE)

Tong Shen

Yang Li

J. M. F. Moura

2023

Graph Signal Processing: History, development, impact, and outlook

IEEE Signal Processing Magazine

Geert Leus

Antonio G Marques

José MF Moura

Antonio Ortega

David I Shuman

2023/6/8

Extending DSP to Graph Signal Processing: The Companion Approach

John Shi

José MF Moura

2023/10/29

GSP= DSP+ Boundary Conditions--The Graph Signal Processing Companion Model

arXiv preprint arXiv:2303.02480

John Shi

Jose MF Moura

2023/3/4

Empowering the growth of signal processing: The evolution of the IEEE Signal Processing Society

IEEE Signal Processing Magazine

Athina Petropulu

José MF Moura

Rabab Kreidieh Ward

Theresa Argiropoulos

2023/6/6

Graph Classification via Simple Graph Based Features

Farida Abdelmoneum

John Shi

José MF Moura

2023/10/29

Statistics and data science for cybersecurity

Alfred Hero

Soummya Kar

Jose Moura

Joshua Neil

H Vincent Poor

...

2023/1/26

Learning gradients of convex functions with monotone gradient networks

Shreyas Chaudhari

Srinivasa Pranav

José MF Moura

2023/6/4

See List of Professors in Jose M. F. Moura University(Carnegie Mellon University)

Co-Authors

H-index: 182
HV Poor

HV Poor

Princeton University

H-index: 91
Manuela M. Veloso

Manuela M. Veloso

Carnegie Mellon University

H-index: 72
Chien Ho

Chien Ho

Carnegie Mellon University

H-index: 65
David Padua

David Padua

University of Illinois at Urbana-Champaign

H-index: 40
Franz Franchetti

Franz Franchetti

Carnegie Mellon University

H-index: 36
Jeremy Johnson

Jeremy Johnson

Drexel University

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