Associate Professor
Department of Electrical & Computer Engineering
FLORIDA INTERNATIONAL UNIVERSITY
University Park, CEAS-3942
Miami, FL., 33199
Phone: (305) 348-3711
FAX: (305) 348-3707
E-mail: barreto@eng.fiu.edu

Education:
Ph.D., Electrical Engineering, University of Florida, Gainesville, Florida., May, 1993.
M.S.E.E., Florida International University, Miami, Florida, August, 1989.
Mechanical-Electrical Engineering Degree (BSEE equivalent), National Autonomous University of Mexico, Mexico City, May, 1987.

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Research:
- Digital Signal Processing, with special interest in the processing of Biomedical Signals.
- Adaptive Digital Signal Processing and Artificial Neural Networks.
- Spatio-Temporal Signal Processing Processing of different normal and abnormal features of the Electroencephalogram (EEG).
- Real-Time implementation of Signal Processing Algorithms using dedicated DSP chips.
- Microprocessor systems.
- Design and implementation of microprocessor-based instruments.

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Publications:

• A. Barreto, L. Vicente, and I. Persad, "Spatio-Temporal EEG Patterns Associated With Voluntary Motion Preparation", Proceedings of the 17th International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 857-858, 1995.

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• A. Barreto, L. Vicente, and I. Persad, "Adaptive Cancellation of Motion Artifact in Photoplethysmographic Blood Volume Pulse Measurements for Exercise Evaluation", Proceedings of the 17th International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 857-858, ‘95.

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• A. Barreto, N. Chin, J. Andrian, and J. Riley, "Multiresolution Characterization of Interictal Epileptic Spikes Based on a Wavelet Transformation", Proceedings of the 14th Southern Biomedical Engineering Conference (Shreveport, Louisiana, April 7-9, 1995.

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• A. Barreto, M. Heimer, and M. Garcia, "Characterization of Photoplethysmographic Blood Volume Pulse Waveforms for exercise evaluation", Proceedings of the 14th Southern Biomedical Engineering Conference, Shreveport, Louisiana, April 7-9, 1995.

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• A. B. Barreto, J. C. Principe, and S. A. Reid, "An On-line System for Intraoperative Focus localization from Array Electrocorticography", Proceedings of the IEEE Southeastcon ‘94 Conference, April, 1994, pp. 418-422.

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• A. B. Barreto, J. C. Principe, and S. A. Reid, "STL: A Spatio-Temporal Characterization of Focal Interictal Events", Brain Topography, Vol. 5, No. 3, pp. 215-288, Human Sciences Press, New York, 1993.

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• A. B. Barreto, J. C. Principe, and S. A. Reid, "Intraoperative Focus localization System based on Spatio-Temporal ECoG Analysis", Proceedings IV Int. Conf. of the IEEE Engineering in Medicine and Biology Society, pp. 344-345, Oct., 1993.
  

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• A. Barreto, J. Principe, and S. Reid, "Multidimensional Filtering of the Electrocorticogram (ECoG) for Epileptic Focus localization", Proceedings 1991 Southeastcon, Williamsburg, Virginia, pp. 1116-1120.

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• A. Barreto, J. Principe, and S. Reid, "Spatio-Temporal Localization and Display of Focal Epileptic Activity from the Electrocorticogram (ECoG)", Proceedings XIII Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society, Orlando, FL, November, 1991, pp. 435-436.
  

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BACKGROUND:

(Since I suggested that the students in the lab provided some background information, I guess I should also do it ...)

I was born in Mexico City, Mexico, August 1963. I graduated with a Bachelors Degree in Electrical-Mechanical Engineering from the National Autonomous University of Mexico (UNAM ), in 1987. I obtained the M.S.E.E. Degree from Florida International University in August 1989 and the Ph.D. In Electrical Engineering from University of Florida , Gainesville, in May 1993. Then I spent one more year in Gainesville as a Post-Doctoral Associate with the Computational NeuroEngineering Laboratory ( CNEL) / UF Brain Institute. Through my Ph. D. and Post-Doc studies I applied Spatio-Temporal DSP techniques to the real-time detection of specific (abnormal) features in multi-channel Electroencephalogram (EEG) Data

I like DSP in general, but the areas of Spatio-Temporal DSP, Adaptive DSP, Biomedical Signal Processing and Real-Time DSP Implementations seem to be my favorites.

I enjoy "Classic" Rock Music (60's, 70's, early 80's) very much. I particularly hold The Beatles , Queen and Elton John in high esteem. (I also like the "true classical music"...)