professor jose principe distinguished professor of electrical and biomedical engineering

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Professor Jose Principe Distinguished Professor of Electrical and Biomedical Engineering Director of Computational NeuroEngineering Laboratory University of Florida, Gainesville Erik Jonsson School of Engineering and Computer Science The University of Texas at Dallas 2601 N. Floyd Road Richardson, TX 75083 For more information: Phone: 972-883-2974 www.utdallas.edu Jose C. Principe is Distinguished Professor of Electrical and Biomedical Engineering at the University of Florida since 2002. Dr. Principe interests lie in nonlinear non-Gaussian optimal signal processing and modeling and in biomedical engineering. 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 IEEE Transactions of Biomedical Engineering, as well as a former member of the Advisory Science Board of the FDA. He received the Gabor Award from the International Neural Network Society in 2006 and the Career Achievement Award from the IEEE Biomedical Engineering Society in 2007. He holds 5 patents and has submitted seven more. Dr. Principe was supervisory committee chair of 50 PhD and 61 Master students, and is author of more than 400 refereed publications. Distinguished Lecturer Series 2007 Engineering the Brain Machine Interface Date: Friday, Nov. 2, 2007 Time: 11:00 a.m. Place: Engineering and Computer Science Complex UTD Campus TI Auditorium ECSS 2.102 P r e s e n t Erik Jonsson School of Engineering and Computer Science IEEE Dallas Chapter of Engineering in Medicine and Biology Society and IEEE Dallas Chapter of Signal Processing Society Neurotechnology is enabling a different communication channel between the brain and the external world. This talk will review briefly the neurophysiology, the challenges, the present trends and the state of the art in neurotechnology. An outlook of what is next will also be briefly discussed.

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Erik Jonsson School of Engineering and Computer Science IEEE Dallas Chapter of Engineering in Medicine and Biology Society and IEEE Dallas Chapter of Signal Processing Society. Distinguished Lecturer Series 2007. Professor Jose Principe - PowerPoint PPT Presentation

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Page 1: Professor Jose Principe Distinguished Professor of Electrical and Biomedical Engineering

Professor Jose PrincipeDistinguished Professor of Electrical and Biomedical Engineering

Director of Computational NeuroEngineering Laboratory University of Florida, Gainesville

Erik Jonsson School of Engineering and Computer ScienceThe University of Texas at Dallas2601 N. Floyd RoadRichardson, TX 75083

For more information:Phone: 972-883-2974www.utdallas.edu

Jose C. Principe is Distinguished Professor of Electrical and Biomedical Engineering at the University of Florida since 2002. Dr. Principe interests lie in nonlinear non-Gaussian optimal signal processing and modeling and in biomedical engineering. 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 IEEE Transactions of Biomedical Engineering, as well as a former member of the Advisory Science Board of the FDA. He received the Gabor Award from the International Neural Network Society in 2006 and the Career Achievement Award from the IEEE Biomedical Engineering Society in 2007. He holds 5 patents and has submitted seven more. Dr. Principe was supervisory committee chair of 50 PhD and 61 Master students, and is author of more than 400 refereed publications.

Distinguished Lecturer Series 2007

Engineering the Brain Machine Interface

Date: Friday, Nov. 2, 2007

Time: 11:00 a.m.

Place: Engineering and Computer Science Complex UTD CampusTI Auditorium ECSS 2.102

P r e s e n t

Erik Jonsson School of Engineering and Computer Science

IEEE Dallas Chapter of Engineering in Medicine and Biology Society

and IEEE Dallas Chapter of Signal Processing Society

Neurotechnology is enabling a different communication channel between the brain and the external world. This talk will review briefly the neurophysiology, the challenges, the present trends and the state of the art in neurotechnology. An outlook of what is next will also be briefly discussed.