El capítulo chileno del IEEE CIS invita a la charla:

Title: A Quantum Theory Inspired Framework for Adaptive Signal Processing

Speaker :  Jose C. Principe, Ph.D.

Distinguished Professor and Eckis Chair of Electrical Engineering

University of Florida

Date : January 14, 15:00-17:00 hrs

Venue: Auditorio Enrique DÉtigny, Facultad de Ciencias Fisicas y Matematicas, Universidad de Chile, Av Beauchef 851

Abstract

This talk presents our current goal of developing operators inspired by quantum theory to quantify uncertainty in time series and train adaptive models for machine learning. The basic observation is that data projected to a Reproducing Kernel Hilbert Space (RKHS) are functions that obey the properties of a potential field. Therefore, one can directly apply the Schrodinger equation to the projected data and interpret its Hermite expansion in terms of modes over the space of samples that express multi scale uncertainty. This methodology can be used to quantify signal properties and can also lead to methodologies to train signal processing models. We will exemplify the theory with some preliminary results. 

Short Bio

Jose C. Principe (M’83-SM’90-F’00) is a Distinguished Professor of Electrical and Computer Engineering and Biomedical Engineering at the University of Florida where he teaches advanced signal processing, machine learning and artificial neural networks (ANNs) modeling. He is BellSouth Professor and the Founder and Director of the University of Florida Computational NeuroEngineering Laboratory (CNEL) www.cnel.ufl.edu . His primary area of interest is processing of time varying signals with adaptive neural models. The CNEL Lab has been studying signal and pattern recognition principles based on information theoretic criteria (entropy and mutual information).

Dr. Principe is an IEEE Fellow. He was the past Chair of the Technical Committee on Neural Networks of the IEEE Signal Processing Society, Past-President of the International Neural Network Society, and Past-Editor in Chief of the IEEE Transactions on Biomedical Engineering. He is a member of the Advisory Board of the University of Florida Brain Institute.  Dr. Principe has more than 800 publications.  He directed 98 Ph.D. dissertations and 65 Master theses.  He wrote in 2000 an interactive electronic book entitled “Neural and Adaptive Systems” published by John Wiley and Sons and more recently co-authored several books on “Brain Machine Interface Engineering” Morgan and Claypool, “Information Theoretic Learning”, Springer, and “Kernel Adaptive Filtering”, Wiley.

Pablo A. Estévez, Ph.D.
IEEE Fellow
Past President IEEE Computational Intelligence Society (2016-2017)
Professor Department of Electrical Engineering University of Chile