• Malek Adjouadi is a Professor with the department of Electrical and Computer Engineering at Florida International University. He is the founding director of the Center for Advanced Technology and Education funded by the National Science Foundation since 1993. He received his BS degree (June 1978) from Oklahoma State University and his MS and PhD degrees (June 1981 and August 1985, respectively) from the University of Florida. All degrees were from Electrical Engineering. His early work on Computer Vision Techniques to Help the Blind have led him to provide testimony to the US Senate committee of Veterans Affairs on technology to help persons with visual disabilities on April of 1987. His research interests are in image and signal processing, assistive technology research to help persons with motor and visual disabilities, and neuroscience with applications to epilepsy and Alzheimer's disease.

research interests

  • • Classification of fMRI patterns–a study of the language network segregation in pediatric localization-related epilepsy. 2014
    • A decisional space for fMRI pattern separation using the principal component analysis–a comparative study of language networks in pediatric epilepsy. 2013
    • A new parametric feature descriptor for the classification of epileptic and control EEG records in pediatric population. 2012
    • Sub-patterns of language network reorganization in pediatric localization-related epilepsy: a multisite study. 2011
    • Subdural EEG classification into seizure and nonseizure files using neural networks in the gamma frequency band. 2011
    • A comparative study of intracranial EEG files using nonlinear classification methods. 2010
    • fMRI activation pattern recognition: A novel application of PCA in language network of pediatric localization-related epilepsy. 2009
    • Seizure detection: an assessment of time- and frequency-based features in a unified two-dimensional decisional space using nonlinear decision functions. 2009
    • Classification of electroencephalographic seizure recordings into ictal and interictal files using correlation sum. 2009
    • Pattern extraction in interictal EEG recordings towards detection of electrodes leading to seizures. 2006

selected publications

chaired theses and dissertations

principal investigator on

full name

  • Malek Adjouadi