Prof. Jose C. PRINCIPE

Former IAS Visiting Member / Professor
Don D. and Ruth S. Eckis Professor and Distinguished Professor of Electrical and Computer Engineering
University of Florida

Prof. Jose C. PRINCIPE

Former IAS Visiting Member / Professor
Don D. and Ruth S. Eckis Professor and Distinguished Professor of Electrical and Computer Engineering
University of Florida

Research Areas:
Adaptive Systems Theory, Nonlinear Signal Processing, Computational NeuroEngineering, Machine Learning, Nonlinear Dynamics

Prof. Jose Principe obtained his PhD in Electrical Engineering from the University of Florida in 1979. He returned to his alma mater in 1987, after an eight-year appointment as Professor at the University of Aveiro in Portugal. He is the Founder and the Director of the University of Florida Computational NeuroEngineering Laboratory (CNEL). In 1995-2016, he was appointed the BellSouth Professor. He is currently the Don D. and Ruth S. Eckis Professor and Distinguished Professor of Electrical and Computer Engineering in the University of Florida.

Prof. Principe’s expertise lies in neuromorphic computing which blends adaptive signal processing and machine learning with computational neuroscience. His CNEL innovated signal and pattern recognition principles based on information theoretic criteria, as well as filtering in functional spaces. His secondary area of interest has focused on applications to computational neuroscience, brain machine interfaces and brain dynamics. He has authored or co-authored several books including "Neural and Adaptive Systems: Fundamentals through Simulations", "Brain-Machine Interface Engineering", "Information Theoretic Learning: Renyi’s Entropy and Kernel Perspectives" and "System Parameter Identification: Information Criteria and Algorithms". He is also the member of the editorial board of Entropy and Neural Computation.

Prof. Principe is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), the American Institute for Medical and Biological Engineering and the International Academy of Medical and Biological Engineering. He received the Dennis Gabor Award from the International Neural Network Society in 2006, the Academic Career Achievement Award from the IEEE Engineering in Medicine and Biology Society in 2007 and the Neural Networks Pioneer Award from the IEEE Computational Intelligence Society in 2011.

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