Mario A. T. Figueiredo

Figueiredo proposed gradient projection (GP) algorithms, and discussed their application in terms of the bound-constrained quadratic programming (BCQP) formulation of compressed sensing and other inverse problems. He also provided sparse approximate solutions to large underdetermined linear systems of equations and regarded them a common problem in signal/image processing and statistics. In 2010, he co-authored pioneering work on the usage of ADMM (alternating direction method of multipliers) for imaging inverse problems, namely image deblurring. Furthermore, he described first application of the ADMM regarding the restoration of images corrupted with Poisson noise, and to solve the problem of hyperspectral unmixing, a central problem in hyperspectral imaging, widely used in remote sensing.

In 2003, he proposed the first efficient algorithm for wavelet-based image restoration.

In his paper published in 2003, Figueiredo described a hierarchical Bayesian approach to adaptive sparse regularization in supervised learning. He also focused his study on mixture models, and published a paper which seamlessly integrates model estimation and selection in an unsupervised algorithm. He highlighted the concept of feature saliency and introduced an expectation-maximization (EM) algorithm to estimate it, in the context of mixture-based clustering. In 2005, he proposed the first fast algorithm for sparse logistic regression. He also explored a new family of nonextensive mutual information kernels, which includes the Boolean, Jensen-Shannon, and linear kernels as particular cases.

Figueiredo has been a visiting scholar of the Department of Computer Science and Engineering at the Michigan State University in 1998 and also of the Department of Electrical and Computer Engineering at the University of Wisconsin in 2005 and 2014.

Figueiredo began his academic career in 1994 as an assistant professor of the Department of Electrical and Computer Engineering at IST, University of Lisbon. From 2004 to 2010, he became an associate professor there. Since then, he has been promoted to full professor and in 2019, an IST Distinguished Professor for the same department. He is also the Feedzai Professor of machine learning at the same university since 2019.

In 1990, Figueiredo received his master's degree from the Instituto Superior Técnico (IST) at the University of Lisbon, Portugal in Electrical and Computer Engineering. He also earned his Ph.D. and his habilitation (Agregação) in Electrical and Computer Engineering from the same institute in 1994 and 2004 respectively.

Mário A. T. Figueiredo (born January 5, 1962) is a Portuguese engineer, academic, and researcher. He is an IST Distinguished Professor and holds the Feedzai chair of machine learning at IST, University of Lisbon.