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Jose Principe

Jose Principe, Ph.D., is Distinguished Professor of electrical and biomedical engineering at the University of Florida. He is the founder and director of the University of Florida Computational NeuroEngineering Lab. Dr. Principe is a fellow of the Institute of Electrical and Electronics Engineers, the American Institute for Medical and Biological Engineering, and the International Academy of Medical and Biological Engineering. He has received a variety of awards, including the Gabor Award, the Neural Network Pioneer Award, and the IEEE-EMBS Career Achievement Award. He has more than 33 parents and over 800 publications in the areas of adaptive signal processing, control of nonlinear dynamical systems, machine learning and neural networks, and information theoretic learning. Dr. Principe earned his Ph.D. in electrical engineering from the University of Florida.

Brain Machine Interface That Coadapts to Translate Neural Activity into Physical Behaviors
Ultra-low Power, Wireless Implantable Neural Electrode System
Algorithm for Robust Training of Adaptive Systems Using Correntropy
Correntropy Loss Function that Promotes Robust Training in Artificial Neural Networks
Adaptive Background Estimation Filter for Video Sequences
Deep Learning Object Recognition Algorithm for Video
Ultra Low Power Ambulatory Diagnostic Algorithm for the QRS Complex in EKG
Ambulatory, Patient-Specific Brain State Advisory System
Pulse-Based Unit That Improves Digital Signal Processing for Mobile Computing
Pulse-Based Unit that Improves Digital Speech Processing
Energy Efficient Automatic Gain Control for Electronics and Sensors
Nonlinear Correntropy Filter for Improved Signal Processing
Signal Processing System for Detecting Low-Level Signals in High-Level Noise
Machine Learning Method to Adapt and Identify Multiple-Input Multiple-Output (MIMO) systems
Machine-Learning Development Framework