Dato
08.05.2007

Klokka
14:15

Auditorium, Auroral Observatory, Department of Physics and Technology

Guest lecture on "Information Theoretic Learning," Professor Jose Principe, University of Florida

Invited talk: Tuesday May 8th 2007, 1415-1500
Auditorium, Auroral Observatory, Department of Physics and Technology

INFORMATION THEORETIC LEARNING AND ITS APPLICATIONS
Jose C. Principe
University of Florida, USA

Abstract:
This talk will survey the basic concepts for the adaptation of linear or
nonlinear systems with entropy and divergence using a new non parametric
approach, which has been called information theoretic learning. Examples to
engineering problems will be presented as well as to the design of brain
machine interfaces.


Background:
Researchers at the Department of Physics and Technology have since 2002
collaborated closely with members of the Computational NeuroEngineering Laboratory
(CNEL) at the University of Florida. CNEL is founded and directed by Distinguished
Professor Jose C. Principe. See http://www.cnel.ufl.edu/ for more information.
This collaboration has contributed to the development of a new machine learning
paradigm, coined information theoretic learning. Jose Principe will give a survey
of this research in his invited talk at the Department of Physics and Technology.


Biosketch - Jose C. Principe:
Jose C. Principe is Distinguished Professor of Electrical and Biomedical Engineering at the
University of Florida since 2002. He joined the University of Florida in 1987, after an eight year
appointment as Professor at the University of Aveiro, in Portugal. Dr. Principe holds degrees in
electrical engineering from the University of Porto (Bachelor), Portugal, University of Florida
(Master and Ph.D.), USA and a Laurea Honoris Causa degree from the Universita Mediterranea
in Reggio Calabria, Italy. Dr. Principe interests lie in nonlinear non-Gaussian optimal signal
processing and modeling and in biomedical engineering. He created in 1991 the Computational
NeuroEngineering Laboratory to synergistically focus the research in biological information
processing models. He recently received the Gabor Award from the International Neural Network
Society for his contributions.
Dr. Principe is a Fellow of the IEEE, Fellow of the AIMBE, past President of the International
Neural Network Society, and Past Editor in Chief of the Transactions of Biomedical Engineering,
as well as a former member of the Advisory Science Board of the FDA. He holds 5 patents and
has submitted seven more. Dr. Principe was supervisory committee chair of 50 Ph.D. and 61
Master students, and he is author of more than 400 refereed publications (3 books, 4 edited
books, 14 book chapters, 116 journal papers and 276 conference proceedings).

Kontaktperson
Robert Jenssen

Epost
robert.jenssen@phys.uit.no

Tlf/mobil
776 46493