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Dr. Armando Barreto

Department of Electrical & Computer Engineering
10555 W. Flagler St., EC-3981
Miami, FL., 33174
Phone: (305) 348-3711
FAX: (305) 348-3707
E-mail: barretoa@fiu.edu

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.

- 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.


For links to ACM Author-Ized Files, please click HERE

For a complete, up-to-date listing, please click HERE

Selected Publications:

Wang J.,  Barreto A., Rishe N., Andrian J. and Adjouadi M., “A Fast Incremental Multilinear Principal Component Analysis Algorithm”, International Journal of Innovative Computing Information and Control (IJICIC), Vol.7., No. 8 (to appear August 2011). 

Faller K.J. II, Barreto A. and Adjouadi M., “Augmented Hankel Total Least Squares Decomposition of Head-Related Transfer Functions”, Audio Engineering Society (AES) Journal  Vol 58, No. 1/2, pages 3-21, 2010. 

Chen Y., Adjouadi M., Han C., Wang J., Barreto A., Rishe N. and Andrian J., “A Highly Accurate and Computationally Efficient Approach for Unconstrained Iris Segmentation”, Image and Vision Computing. Volume 28, Issue 2, February 2010, Pages 261-269 

Wang, J., Barreto, A., Wang, L., Chen, Y., Rishe, N., Andrian, J., and Adjouadi, M. 2010. “Multilinear principal component analysis for face recognition with fewer features”. Neurocomputing. 73, 10-12 (Jun. 2010), 1550-1555.

Gao Y., Barreto A. and Adjouadi M., “Detection of Sympathetic Activation through Measurement and Adaptive Processing of the Pupil Diameter for Affective Assessment of Computer Users”, American Journal of Biomedical Sciences. 1(4), 283 – 294, 2009. 

Chin, C. A., Barreto A. and Adjouadi M., “Integration of EMG and EGT Modalities for the Development of an Enhanced Cursor Control System” International Journal on Artificial Intelligence Tools, Vol. 18, No. 3, pp. 399- 414. (2009).

Faller J.K., Barreto A. and Rishe N., “A new Inverse Processing Approach to the Modelling of Head-Related Transfer Functions for Audio Spatialization”, Inverse Problems in Science and Engineering, Vol. 17, No. 1., January 2009, pp. 51–63 

Alonso Jr. M., Barreto A., and Adjouadi M., “Digital Image Inverse Filtering for Improving Visual Acuity for Computer Users with Visual Aberrations”, Inverse Problems in Science and Engineering, Vol. 16, No. 8., December 2008.  pp. 957 – 966. 

Barreto, A., “Visual Impairments”, (Chapter 1) in 'Web Accessibility: A Foundation for Research', pp. 3 – 13, edited By Simon Harper and Yeliz Yesilada . Publisher: Springer-Verlag New York, First edition (June 6, 2008), ISBN-10: 1848000499 , ISBN-13: 978-1848000490.

Chin, C. A., Barreto, A., Cremades, J.G., and Adjouadi, M., “Integrated Electromyogram and Eye Gaze Tracking Cursor Control System for Computer Users with Motor Disabilities”, Journal of Rehabilitation Research and Development. Vol. 45, No. 1, pp. 161-174, 2008. 


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

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"...)