Dr. Armando Barreto

Biography

I was born in Mexico City, Mexico, in August 1963. I graduated with a Bachelor’s 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 the University of Florida, Gainesville, in May 1993.

Then I spent one more year in Gainesville as a Post-Doctoral Associate with the Computational Neuro Engineering 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”…)

Associate Professor

Department of Electrical & Computer Engineering

Florida International University | Miami, FL. 33199
College of Engineering & Computing
Office: CEAS – 3942

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.

Research

  • Digital Signal Processing, with a 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.