Carnegie Mellon University

José Moura

José Moura

Associate Department Head - Research & Strategic Initiatives, Electrical and Computer Engineering
Philip L. and Marsha Dowd University Professor, Electrical and Computer Engineering

Download Hi-res Photo
Address 5000 Forbes Avenue
Pittsburgh, PA 15213

Bio

José M. F. Moura is the Philip L. and Marsha Dowd University Professor at Carnegie Mellon University, with the Electrical and Computer Engineering and, by courtesy, the BioMedical Engineering. He is a member of the US National Academy of Engineerssee IEEE Technical SPOTLIGHT announcement, Fellow of the US National Academy of Inventors, a corresponding member of the Portugal Academy of Science, an IEEE Fellow, and Fellow of the AAAS.

Education

Agregacão, 1979 
Electrical and Computer Engineering 
Technical University of Lisbon

DSc, 1975 
Electrical Engineering and Computer Science 
Massachusetts Institute of Technology

M.S., 1973 
Electrical Engineering 
Massachusetts Institute of Technology

EE, 1973 
Electrical Engineering 
Massachusetts Institute of Technology

Licenciado EE, 1969 
Electrical Engineering 
Technical University of Lisbon

Research

Signal Processing and Telecommunications

Professor Moura works in statistical signal processing and telecommunications. He has interests in video, wireless communications, wavelet-based processing, and detection in high-density recording. Two current research thrust areas are the following:

Content-Based Video Processing

Efficient methods are developed to manipulate, edit, store or transmit video. Rather than representing video in terms of pixels and frames, we describe it by the video contents, which include background and foreground moving objects, such as cars or walking humans.

Robust Detection and Classification

In numerous applications, the detection and classification of a pattern is desirable. Patterns are distorted by noise and other artifacts. Professor Moura's group designs wavelets that are robust to these distortions, and apply these methods to wireless digital and to focusing radar images as in synthetic aperture radar (SAR).

Spiral: Optimized Portable Library of Signal Processing Algorithms

This project combines signal processing algorithms with artificial intelligence and learning methods, compiler technologies and computer architecture design to develop a library of optimized implementations of signal processing algorithms that is portable across a number of high-performance computing platforms.

Keywords

  • Data science
    • Graph signal processing
    • machine learning
    • Deep learning
    • Network science
    • Urban science
    • Statistical signal/image/video processing

Related news

Wednesday, July 05, 2017

Moura and Kottur paper on non-human robot languages cited in The Atlantic

In a 2017 research paper, Kottur, Moura,and their colleagues from the Georgia Institute of Technology and Virginia Tech describe their experience with two robots that eventually formed their own language by assigning values to colors and shapes.
Tuesday, October 10, 2017

Moura named 2018 IEEE President-Elect

José M. F. Moura, Philip L. and Marsha Dowd University Professor at Carnegie Mellon University and IEEE Life Fellow, has been elected to serve as the 2018 IEEE President-Elect. Moura will begin serving as IEEE President on January 1, 2019.
Tuesday, September 05, 2017

Moura and Kottur win Best Short Paper award at the 2017 EMNLP Conference

ECE Professor José Moura and Ph.D. student Satwik Kottur were recently recognized with the Best Short Paper award for their paper, "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog," at the 2017 Conference on Empirical Methods on Natural Language Processing (EMNLP).
Wednesday, August 09, 2017

Interview with Moura featured in The Institute

An interview with José M.F. Moura was recently published in The Institute, a newspaper for the members of the Institute of Electrical and Electronics Engineers (IEEE). Moura is a candidate for 2018 IEEE president-elect.
Tuesday, January 24, 2017

Moura, Veloso, and Kavčićs give $16.5 million to CMU for data science and engineering education and research

Professor José Moura; his wife and fellow CMU faculty member Professor Manuela Veloso; signal-processing researcher and Adjunct Professor Aleksandar Kavčić; and his wife, Dr. Sofija Kavčić, have jointly donated $16.5 million to the university to support education and research activities in data science and engineering.
Thursday, May 19, 2016

Four ECE professors receive College of Engineering Faculty Awards

Professors from ECE’s Pittsburgh and Silicon Valley campuses have received College of Engineering Faculty Awards, which are given to faculty in recognition of their academic and research achievements. Each award has different criteria and requirements.