Distinguished Professor of Electrical and Computer Engineering
College of Engineering
2014 Awardee
Jose Principe’s area of research, neural information processing and modeling, is a multidisciplinary area at the frontiers of statistical signal processing, machine learning, and theoretical neuroscience.
In 1991, Principe created the Computational NeuroEngineering Laboratory (CNEL) that became internationally famous through a set of innovations starting with the gamma neural model in 1992, with the development of Information Theoretic Learning in 2000 and, more recently, with Kernel Adaptive Filtering in 2010.
Principe is increasingly dedicated to Brain Machine Interfaces (BMIs), and has created a group at UF that is world recognized, pursuing a rich set of issues that anchored the multidisciplinary research program at the CNEL. The next phase of his research is devoted to cognitive engineering, where he plans to use these statistical methods, coupled with inspiration from biology, to design the next generation of engineering systems.
Principe has received continuous funding from the prestigious NSF Neuro-Engineering program since 1992. The CNEL participated during 2002-2007 on a high profile multidisciplinary and multi-university team funded by DARPA to develop BMIs. The CNEL is now part of another ongoing BMI grant lead by SUNY funded by DARPA until 2015.
Principe is a Fellow of both the Institute of Electrical and Electronic Engineering (IEEE) and the American Institute for Medical and Biological Engineering (AIMBE). He received the IEEE Neural Network Pioneer Award, the INNS Gabor Award from the International Neural Network Society, the Career Achievement Award from the IEEE Engineering in Medicine and Biology Society, and three Honoris Causa Degrees from Italy, Finland, and Brazil.
Principe is currently the Founding Editor-in-Chief of the IEEE Reviews in Biomedical Engineering. He is Past President of the International Neural Network Society, and sits currently on the Administrative Committees of IEEE Biomedical Engineering and Computational Intelligence Societies.