| Rui de Figueiredo | |
| Birth Date: | 1929 4, df=y |
| Birth Place: | Panjim, Goa, Portuguese India |
| Death Date: | [1] |
| Death Place: | College Station, Texas |
| Field: | Electrical Engineering Applied Mathematics |
| Work Institution: | Rice University University of California at Irvine |
| Alma Mater: | Massachusetts Institute of Technology Harvard University |
| Doctoral Advisor: | Philippe Le Corbeiller |
| Doctoral Students: | Sarah Rajala |
| Awards: | IEEE CAS Society Technical Achievement Award (1994) IEEE CAS Society Mac Van Valkenburg Award (2002) Kapitsa Medal (2009) |
Rui José Pacheco de Figueiredo (19 April 1929 – 22 July 2013) was an electrical engineer, mathematician, computer scientist, and a professor of electrical engineering, computer engineering, and applied mathematics at the University of California, Irvine.
de Figueiredo was born on 19 April 1929 in Panjim, Goa where he grew up the second of four boys. His parents were João Manuel Pacheco de Figueiredo and Maria Alcina da Rocha Pinto. He was identified very early on as academically gifted and musically talented. From the ages of four to nine he was home schooled in Portuguese by tutors in various subjects including maths, science, and music. At the age of nine he entered the Liceu where he continued his studies. In 1945, professors from the Trinity College of Music in London assessed his piano performance, commenting that his play of the scales was "as graceful as the gliding of skates on virgin ice." He acquired the title of Licenciate of the Trinity College and was awarded a fully funded scholarship to pursue music at the school in London. After careful consideration, his parents advised him to decline the offer as they felt he was too young, at age 16, to live alone in London. After graduating from high school, he left India to attend the Massachusetts Institute of Technology, where he received a BS degree in 1950, and an MS degree in 1952. He subsequently received a PhD from Harvard University in 1959.
de Figueiredo worked as a consultant for the Portuguese Atomic Energy Commission while finishing his PhD, and upon graduation, became the head of the Applied Maths and Physics Division of the Nuclear Research Centre, in Sacavém, Portugal. In 1962, he returned to the United States to take a tenured position as an associate professor in the School of Electrical Engineering at Purdue University. In 1965, he became a full professor jointly appointed in the Departments of Electrical and Computer Engineering and Applied Mathematics at Rice University. In 1990, Figueiredo moved to Irvine, California, where he was a professor in both the Electrical Engineering and Computer Science Department and Mathematics Department at the University of California at Irvine. He also was founder and Director of the Laboratory for Intelligent Signal Processing and Communications at UCI. de Figueiredo was married to Isabel Colaço de Figueiredo and has five children, Alcina Dalton, Paulo (Paul) de Figueiredo, João (John) de Figueiredo, Rui de Figueiredo Jr., and Miguel (Michael) de Figueiredo. Rui Jr., is a professor at Haas School of Business.[2]
Figueiredo is best known for his work developing novel mathematical foundations for the solution of fundamentally nonlinear problems, with applications in pattern recognition, signal processing, image processing, and neural networks. His work supported a variety of NASA space exploration projects, assisted the Department of Defense in weapons detection systems, helped companies identify credit card fraud, assisted the Environmental Protection Agency in oil spill detection and source matching, developed algorithms for more efficient transmission of mobile telecommunications signals, enhanced geophysical images for well-logging, and improved the early detection of brain and neural diseases, like Alzheimer's disease. In the early 1970s, Figueiredo introduced approaches for generalised splines for optimal signal based recovery to the field of signal processing. One of his most well-known contributions was the invention and study of the Generalised Fock space F, a Reproducing Kernel Hilbert Space of input-output maps of generic nonlinear dynamical systems, and used a "linear" orthogonal projection in F for optimal recovery of such "nonlinear" maps from the input-output data. This approach extended to nonlinear systems the powerful orthogonal projection method, previously used exclusively for linear systems. The analytics behind this approach are represented as neural networks, which ultimately led to the development of Figueiredo's Optimal Interpolation neural network and CDL neural network. Related to his work in neural networks, Figueiredo is also known for his contributions to the understanding of nonlinear filters. In this area, Figueiredo developed filters for adaptive image restoration, for image contrast sharpening tuned to human visual perception based on Munsell's scale, and for non-Gaussian noise suppression. The results of his work can be found in over 400 scientific publications he authored.
Selected publications: