Creating and sharing knowledge for telecommunications
... Mário Alexandre Teles de Figueiredo

Scientific Area Coordinator

Mário Figueiredo

Academic position: Full Professor
Joining date: 01-01-1993
Roles in IT: Scientific Area Coordinator
Scientific Area: Networks and Multimedia
Group: Pattern and Image Analysis – Lx

Email: Send Email
Address: IT – Lisboa
Instituto Superior Técnico - Torre Norte - Piso 10
Av. Rovisco Pais, 1
1049 - 001 Lisboa
Tel: +351 21 841 84 54
Fax: +351 21 841 84 72

Personal page


Scientific Achievements

  • Agregação, Instituto Superior Técnico, 31-03-2004
  • PhD, Instituto Superior Técnico, 01-11-1994
  • MSc, Instituto Superior Técnico, 01-03-1990
  • Licenciatura, Instituto Superior Técnico, 13-12-1985
  • Image processing and analysis
  • Pattern recognition and machine learning
  • Instituto Superior Técnico, 28-12-2010, Full Professor
  • IEEE - Institute of Electrical and Electronics Engineers, 01-01-2010, Fellow
  • International Association for Pattern Recognition, 01-01-2009, Fellow
  • Instituto Superior Técnico, 09-03-2006 - 27-12-2010, Associate Professor
  • IEEE - Institute of Electrical and Electronics Engineers, 01-01-2000, Senior Member
  • IEEE - Institute of Electrical and Electronics Engineers, 01-01-1995, Member
  • Instituto Superior Técnico, 25-11-1994 - 08-03-2006, Assistant Professor
Supervision of theses
Co-Supervision of theses
  • Advances in Probabilistic Graphical Models, MSc Student, Margarida Nunes de Almeida Rodrigues de Sousa, 12-2017
  • Colonic polyp detection in wireless capsule endoscopy images using a local approximation techniques, MSc Student, Filipe João Cabrita Condessa, 03-2011
  • A. Ferreira, M. A. T. Figueiredo, Feature Discretization with Relevance and Mutual Information Criteria, Chapter in, Pattern Recognition Applications and Methods, Advances in Intelligent Systems and Computing, 318, A. Fred and M. De Marsico, Springer, 2015
  • A. Lourenço, S. Bulo Bulo, N. Rebagliati, A. L. N. Fred, M. A. T. Figueiredo, M. Pelillo, A MAP approach to evidence accumulation clustering, Chapter in, Pattern Recognition Applications and Methods 2013, Revised Selected Papers, Maria De Marsico and Ana Fred, Springer, Vilamoura, 2013
  • P. Aguiar, M. Bicego, U. Castellani, M. A. T. Figueiredo, A. Martins, V. Murino, A. Perina, A. Ulas, On the combination of information-theoretic kernels with generative embeddings, Chapter in, Similarity-Based Pattern Analysis and Recognition, M. Pelillo, Springer, London, 2013
  • A. L. N. Fred, A. Lourenço, H. Aidos, S. Bulo Bulo, N. Rebagliati, M. A. T. Figueiredo, M. Pelillo, Learning Similarities from Examples under the Evidence Accumulation Clustering Paradigm, Chapter in, Similarity-Based Pattern Analysis and Recognition, Marcello Pelillo, Springer, 2013
  • A. Ferreira, M. A. T. Figueiredo, Boosting Algorithms: A Review of Methods Theory, and Applications, Chapter in, Ensemble Learning: Methods and Applications, Cha Zhang and Yunqian Ma, Springer, 2012
  • A. Lourenço, A. L. N. Fred, M. A. T. Figueiredo, A Generative Dyadic Aspect Model for Evidence Accumulation Clustering, Chapter in, SIMBAD 2011, M. Pelillo and E.R. Hancock, Springer, 2011
  • A. Ferreira, A. L. Oliveira, M. A. T. Figueiredo, On the Suitability of Suffix Arrays for Lempel-Ziv Data Compression, Chapter in, ICETE 2008 - CCIS-Communications in Computer and Information Science, vol. 48, J. Filipe and M. Obaidat, Springer, Berlin, 2009
  • M. A. T. Figueiredo, Semi-supervised clustering: application to image segmentation, Chapter in, Advances in Data Anlysis, R. Decker, H. Lenz, Springer, Berlin, 2007
  • M. A. T. Figueiredo, V. Murino, Clustering under prior knowledge with application to image segmentation, Chapter in, Advances in Neural Information Processing Systems 19, B. Schölkopf, J. Platt, and T. Hofmann, MIT Press, Cambridge, MA, 2006
  • M. Rabbat, M. A. T. Figueiredo, R. Nowak, Inferring Network Structure from Co-Occurrences, Chapter in, Advances in Neural Information Processing Systems 19, B. Schölkopf, J. Platt, and T. Hofmann, MIT Press, Cambridge, MA, 2006
  • D. Zhu, M. Rabbat, A. Hero, R. Nowak, M. A. T. Figueiredo, De novo signaling pathway reconstruction from multiple data sources, Chapter in, New Research in Signaling Transduction, , Nova Publisher, New York, 2006
  • B. Krishnapuram, D. Williams, Y.X. Xue, A. Hartemink, L. Carin, M. A. T. Figueiredo, On semi-supervised classification, Chapter in, Neural Information Processing Systems 17, L. Saul, Y. Weiss, L. Bottou, MIT Press, Cambridge, MA, 2005
  • M. A. T. Figueiredo, Bayesian Image Segmentation Using Gaussian Field Priors, Chapter in, Energy Minimization Methods in Computer Vision and Pattern Recognition, A. Rangarajan, B. Vemuri, and A. Yuille, Springer, Berlin, 2005
  • M. Law, A. K. Jain, M. A. T. Figueiredo, Feature selection in mixture-based clustering, Chapter in, Neural Information Processing Systems 15, S. Becker, S. Thrun, and K. Obermayer, MIT Press, Cambridge, Massachusetts, 2003
  • M. A. T. Figueiredo, Unsupervised sparse regression, Chapter in, Nonlinear Estimation and Classification, D. Denison, M. Hansen, C. Holmes, B. Mallick, and B. Yu, Springer, New York, 2002
  • M. A. T. Figueiredo, Adaptive sparseness using Jeffreys prior, Chapter in, Neural Information Processing Systems 14, T. Dietterich, S. Becker, and Z. Ghahramani, MIT Press, Cambridge, Massachusetts, 2002
  • M. A. T. Figueiredo, J. Leitão, A. K. Jain, On Fitting Mixture Models, Chapter in, Energy Minimization Methods in Computer Vision and Pattern Recognition, E. Hancock and M. Pellilo, Springer, Berlin, 1999
  • M. A. T. Figueiredo, J. Leitão, A. K. Jain, Adaptive parametrically deformable contours, Chapter in, Energy Minimization Methods in Computer Vision and Pattern Recognition, M. Pellilo and E. Hancock, Springer, Berlin, 1997
  • M. A. T. Figueiredo, J. Leitão, Image restoration using a standard Hopfield neural network, Chapter in, Image Processing: Theory and Applications, G. Vernazza, A. Venetsanopoulos, and C. Branccini, Elsevier Science, Amsterdam, 1993
  • M. A. T. Figueiredo, J. Leitão, Signal estimation using a standard Hopfield neural network', Chapter in, Acoustic Signal Processing for Ocean Exploration, J. Moura and I. Lourtie, Kluwer Academic, Dordrecht, 1992

Currently running projects8

Acronym Name Funding Agency Start date Ending date
DetoxSTM Denoise Toolbox for Scanning Tunneling Microscopy Images 01-07-2016 01-05-2018
DP-PMI Doctoral Programme in the Physics and Mathematics of Information: Foundations of Future Information Technologies (DP-PMI) FCT 01-01-2014 01-12-2021
GoLocal GoLocal -- From Monitoring Global Data Streams to Context-Aware Recommendations FCT/ CMU 01-03-2016 01-02-2020
LearnBIG Unsupervised and Semi-Supervised Learning from Big Data FCT/PTDC 01-05-2016 01-06-2018
MacSeNet Machine Sensing Training Network EC 01-11-2014 01-01-2019
PERSEIDS Personalizing cancer therapy through integrated modeling and decision FCT 01-06-2016 01-06-2019
SPARSIS SparseModeling and Estimation of Motion Fields FCT 01-07-2016 01-06-2019
SpaRTaN Sparse Representations and Compressed Sensing Training Network EC 01-10-2014 01-09-2018

Closed Projects14

Acronym Name Funding Agency Start date Ending date
ARGUS Activity Recognition and Object Tracking Based on Multiple Models FCT/PTDC 01-01-2010 01-12-2012
CLASSE Detection, Classification and Estimation of Defects in Metallic Plates Subject to Manual Inspection IT/LA 01-12-2008 01-12-2010
DeLKeTI Development and Learning of Kernels for Text and Images FCT/PTDC 01-11-2007 01-06-2011
EMUSuL Ensemble Methods in Unsupervised and Semi-Supervised Learning FCT/POSC 01-01-2005 31-12-2007
EvaClue Evidence Accumulation in Unsupervised and Semi-Supervised Learning: a Cluster Ensemble Approach FCT/PTDC 01-01-2010 01-03-2013
FOCOS Aberrant Crypt Foci and Human Colorectal Polyps : mathematical modelling and endoscopic image processing. FCT, UT Austin 01-01-2009 01-12-2012
LearningS Learning from Sequences FCT/PTDC 01-03-2013 01-03-2015
NSCBRRI Novel Statistical Criteria for Blind Restoration and Reconstruction of Images FCT/POSC 01-08-2005 31-07-2008
PAConvex Beyond Convexity: Non-Convex Optimization and Game-Theoretic Approaches for Imaging Inverse Problems FCT 01-06-2013 01-06-2015
ReAlImage Regularization Criteria and Fast Algorithms for Imaging Inverse Problems FCT/PTDC 01-02-2010 01-01-2013
SIMBAD Beyond features: similarity-based pattern analysis and recognition EU/FP7 01-02-2008 01-03-2011
SMARDO Smart System for Monitoring of Wild Dolphin – Antropogenic Factors Interactions IT/LA 01-10-2005 01-06-2008
SSL-AMDMR Statistical and Structural Learning: Applications in Multimedia Data Mining and Retrieval FCT/POSI 01-01-2001 31-12-2004
STM Image Scanning Tunneling Microscopy Image Processing Tools IT/LA 01-03-2014 01-06-2016
  • M. A. T. Figueiredo, IAPR Pierre Devijver Award, This award commemorates Pierre Devijver, one of the founders of statistical pattern recognition, who left us all in 1996. The recipient is be selected from among outstanding scientists who have contributed significantly to the field of statistical pattern recognition., 01-12-2016
  • M. A. T. Figueiredo, EURASIP Technical Achievment Award, "The Technical Achievement Award honors a person who, over a period of years, has made outstanding technical contributions to theory or practice in technical areas within the scope of the Society, as demonstrated by publications, patents, or recognized impact in this field." http://www.eurasip.org/newsletter/newsletter_2016-01a.html#SocietyAwards, 01-01-2016
  • M. A. T. Figueiredo, S. Wright, R. Nowak, 2014 Walter R. G. Baker Award, 2014 Walter R. G. Baker Award, for the paper "Sparse Reconstruction by Separable Approximation", published in the IEEE Transactions on Signal Processing, 2009., 01-01-2014
  • M. A. T. Figueiredo, S. Wright, R. Nowak, 2011 IEEE Signal Processing Society Best Paper Award, 2011 IEEE Signal Processing Society Best Paper Award for the paper "Sparse Reconstruction by Separable Approximation", published in the IEEE Transactions on Signal Processing in 2009., 01-12-2011
  • M. A. T. Figueiredo, Prémio UTL/Santander-Totta, in the area of Electrical Engineering and Computer Science, Prize awarded to the UTL researcher with the highest scientific impact, according to the ISI Science Citation Index, in the period 2002-2006., 01-12-2007
  • J. Dias, J. Oliveira, M. A. T. Figueiredo, Blind estimation of motion-blur parameters for image deconvolutio, Best paper award, Iberian Conference on Pattern Recognition and Image Analysis, 01-06-2007
  • J. Bioucas-Dias, J. Oliveira, M. A. T. Figueiredo, Blind estimation of motion blur parameters for image deconvolution, Best paper award, Iberian Conference on Pattern Recognition and Image Analysis , 01-06-2007 ., 01-01-2007
  • M. Rabbat, M. A. T. Figueiredo, R. Nowak, Neural Information Processing Systems - NIPS'2006, Student Paper Honorable Mention., Neural Information Processing Systems - NIPS'2006, Student Paper Honorable Mention, for the paper Inferring Network Structure from Co-Occurrences., 04-12-2006
  • J. Bioucas-Dias, M. A. T. Figueiredo, Alternating Direction Optimization for Convex Inverse Problems. Application to Imaging and Hyperspectral Unmixing, Invited Talks, 2012 SIAM Conference on Applied Linear Algebra, 01-06-2012
  • M. A. T. Figueiredo, On the Use of Alternating Direction Optimization for Imaging Inverse Problems, Invited Talks, Symposium on Variational Image Analysis (VIA11), Heidelberg, Germany, 01-07-2011
  • M. A. T. Figueiredo, Alternating direction optimization for fast solution of imaging inverse problems, Invited Talks, Department of Mathematics and Department of Electronic Engineering, Chinese University of Hong Kong, 01-09-2010
  • M. A. T. Figueiredo, Network Inference, Invited Talks, XVIII Annual Congress of the Portuguese Statistical Society, 01-09-2010
  • M. A. T. Figueiredo, Removing non-additive noise using variable splitting and augmented lagrangian optimization, Invited Talks, Summer School and Workshop on Imaging Sciences and Medical Applications, 01-06-2010
  • M. A. T. Figueiredo, On Semi-Supervised and Active Learning, Invited Talks, Statistics for Data Mining, Learning, and Knowledge Extraction - IASC'2007, 01-07-2007
  • M. A. T. Figueiredo, Semi-supervised Classification and Clustering, Invited Talks, Seventh International Workshop on Pattern Recognition in Information Systems - PRIS'2007, 01-06-2007
  • M. A. T. Figueiredo, IEEE Technical Committee on Image and Multidimensional Digital Signal Processing (IMDSP-TC), Member of Technical Committee, 01-01-2007
  • M. A. T. Figueiredo, On semi-supervised learning, Invited Talks, International Workshop on Multimedia Content Representation, Classification, and Security, 13-09-2006
  • M. A. T. Figueiredo, Semi-supervised classification and clustering, Invited Talks, Annual Conference of the German Classification Society, 10-03-2006
  • M. A. T. Figueiredo, Recent advances in wavelet-based image restoration, Invited Talks, 5th Conference on Telecommunications - ConfTele'2005, 18-11-2005
  • M. A. T. Figueiredo, Image segmentation under wavelet-based (and other) priors, Invited Talks, ECE Department, University of Wisconsin, 28-08-2005
  • M. A. T. Figueiredo, Image segmentation under wavelet-based (and other) priors, Invited Talks, CSE Department, Michigan State University, 18-05-2005
  • M. A. T. Figueiredo, Iterative algorithms for wavelet-based image restoration, Invited Talks, INRIA Sophia Antipolis, France, 12-10-2004
  • M. A. T. Figueiredo, Some Model Selection Problems in Image Analysis, Invited Talks, International Conference on Image Ananlysis and Recognition - ICIAR'2004, 01-10-2004
  • M. A. T. Figueiredo, Introduction to Bayesian inference and statistical learning, Tutorial, Dipartimento di Informatica, Univeristy of Verona, Italy, 18-09-2004
  • M. A. T. Figueiredo, Feature selection in supervised and unsupervised learning, Invited Talks, University of Florida Workshop on Data Mining, Statistical Learning, and Bioinformatics, 09-01-2004
  • M. A. T. Figueiredo, Model and Feature Selection for Finite Mixtures, Invited Talks, Red Temática de Reconocimiento de Formas y sus Aplicaciones, Espanha, 16-06-2003
  • M. A. T. Figueiredo, Pattern Analysis of Microarray Data: Clustering, Selection, Classification., Invited Talks, INESC-ID, 20-02-2003
  • European Signal Processing Conf. - EUSIPCO, Scientific Committee, 2010
  • IEEE Conf. on Computer Vision and Pattern Recognition - CVPR, Scientific Committee, 2010
  • IEEE International Conf. on Acoustics, Speech, and Signal Processing - ICASSP, Scientific Committee, 2010
  • IEEE International Conf. on Image Processing - ICIP, Scientific Committee, 2010
  • International Conf. on Machine Learning - ICML, Scientific Committee, 2010
  • International Conf. on Pattern Recognition - ICPR, Conference Chairman, 2010
  • IEEE International Conf. on Image Processing - ICIP, Technical Programme Committee, 2007
  • Energy Minimization Methods in Computer Vision and Pattern Recognition, Technical Programme Committee, 2007
  • IEEE Conf. on Computer Vision and Pattern Recognition - CVPR, Scientific Committee, 2007
  • Iberian Conf. on Pattern Recognition and Image Analysis, Technical Programme Committee, 2007
  • IEEE International Conf. on Acoustics, Speech, and Signal Processing - ICASSP, Technical Programme Committee, 2007
  • International Conf. on Image Analysis and Recognition, Technical Programme Committee, 2007
  • International Workshop on Pattern Recognition in Information Systems, Technical Programme Committee, 2007
  • International Conference on Image Processing - ICIP'2006, Technical Programme Committee, 2006
  • IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Technical Programme Committee, 2006
  • IEEE Workshop on Machine Learning for Signal Processing - MLSP'2006, Technical Programme Committee, 2006
  • IEEE International Conference on Acoustics, Speech, and Signal Processing, Technical Programme Committee, 2006
  • European Conference on Computer Vision - ECCV'2006, Technical Programme Committee, 2006
  • Neural Information Processing Systems: Natural and Synthetic - NIPS'2005, Technical Programme Committee, 2005
  • Fifth International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition - EMMCVPR'2005, Technical Programme Committee, 2005
  • International Conference on Image Analysis and Recognition - ICIAR'2005, Technical Programme Committee, 2005
  • International Conference on Image Processing - ICIP'2005, Technical Programme Committee, 2005
  • International Joint Conference on Neural Networks - IJCNN'2005, Technical Programme Committee, 2005
  • IEEE Conference on Computer Vision and Pattern Recognition - CVPR'2005, Technical Programme Committee, 2005
  • 2nd Iberian Conference on Pattern Recognition and Image Analysis - IbPRIA'2005, Technical Programme Committee, 2005
  • IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP'2006, Technical Programme Committee, 2005
  • IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP'2005, Technical Programme Committee, 2005
  • International Conference on E-Business and Telecommunication Networks - ICETE'2004, Technical Programme Committee, 2004
  • International Conference on Pattern Recognition - ICPR'2004, Technical Programme Committee, 2004
  • IAPR International Workshops on Syntactical and Structural Pattern Recognition and Statistical Pattern Recognition - SSPR 2004 & SPR 2004, Organizing Committee, 2004
  • IEEE Conference on Computer Vision and Pattern Recognition - CVPR'2004, Technical Programme Committee, 2004
  • IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP'2004, Technical Programme Committee, 2004
  • European Conference on Vomputer Vision - ECCV'2004, Technical Programme Committee, 2004
  • Fourth International Workshop on Pattern Recognition in Information Systems - PRIS'2004, Technical Programme Committee, 2004
  • IEEE International Conference on High-Speed Networks and Multimedia Communications - HSNMC'2003, Technical Programme Committee, 2003
  • Energy Minimization Methods in Computer Vision and Pattern Recognition - EMMCVPR 2005, Conference Chairman, 2003
  • Third International Workshop on Pattern Recognition in Information Systems - PRIS'2003, Technical Programme Committee, 2003
  • Fourth Portuguese Conference on Telecommunications - ConfTele'2003, Technical Programme Committee, 2003
  • IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP'2003, Scientific Committee, 2003
  • Iberian Conference on Pattern Recognition and Image Analysis - IbPRIA'2003, Scientific Committee, 2003
  • Third Indian Conference on Computer Vision, Graphics, and Image Processing - ICVGIP'2002, Technical Programme Committee, 2002
  • Second International Conference on Development and Learning - ICDL'2002, Technical Programme Committee, 2002
  • Area Editor, IEEE Transactions on Signal Processing, 01-01-2015 - today
  • Associate Editor, SIAM Journal on Imaging Science, 01-01-2014 - today
  • Associate Editor, Journal of Mathematical Imaging and Vision, 01-01-2014 - 31-12-2016
  • Associate Editor, Statistics and Computing, 01-01-2010 - 01-12-2012
  • Guest Editor of Special Issue, IEEE Journal on Selected Topics in Signal Processing, 01-01-2010 - 01-12-2010
  • Associate Editor, IEEE Trans. on Pattern Analysis and Machine Intelligence, 01-09-2005 - 01-12-2009
  • Associate Editor, 01-09-2005 - 31-12-2007
  • Guest co-editor of a Special Issue on Machine Learning Methods in Signal Processing, 01-01-2003 - 31-12-2004
  • Associate Editor, IEEE Trans. on Image Processing, 01-01-2002 - 31-12-2008
  • Associate Editor, IEEE Trans. on Mobile Computing, 01-01-2002 - 31-12-2005
  • Guest Co-editor of a Special Issue on Energy Minimization Methods in Computer Vision and Pattern Recognition, 01-01-2002 - 31-12-2003
  • Associate Editor, 01-01-2002 - 31-12-2006
  • IEEE Trans. on Image Processing
    2007, 1 review(s);
  • IEEE Trans. on Information Theory
    2007, 1 review(s);