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
- 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
For a complete, up-to-date listing, please click
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
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"...)