IT Depertement, Office 306
University M’hamed Bougara, Independence Avenue,
35000, Boumerdes - Algeria
(+213) 779-056-017
f.touazi@univ-boumerdes.dz
faycal.touazi@gmail.com
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Fayçal Touazi

Assistant Professor

PHD in Artificial Intelligence

  • UNIVERSITY: M'HAMED BOUGARA
  • AFFILIATION : LIMOS
  • TEAM : I-Vision
  • BORN : July 17, 1988
  • ORCID
  • Scopus
  • Web of Science
  • ABOUT ME

    Short introduction

    Welcome to my website

    My name is Fayçal TOUAZI, and I am an Associate Professor at M’hamed Bougara University (UMBB) – Boumerdes, Algeria.

    I earned my first Master's degree in Computer Science at UMBB in 2011, followed by a second Master's degree at Paul Sabatier University – Toulouse (France) in 2012. I then obtained a PhD in Artificial Intelligence from the National Polytechnic Institute of Toulouse (INPT, France) in 2016.

    I began teaching as a temporary lecturer at Paul Sabatier University in 2012. Between 2013 and 2015, I served as a contractual PhD student with teaching duties (DCCE) at INPT. In 2016, I worked as a temporary lecturer and researcher (ATER) at INPT, and held the same position at the University of Limoges in 2017.

    I joined UMBB in 2017 as an Associate Professor in the Computer Science Department.

    Teaching Areas

    • Object-Oriented Programming
    • Operating Systems
    • Compilation
    • Artificial Intelligence
    • Application Modeling and Design
    • Mobile Application Development

    Research Topics

    I am a member of the Vision Intelligente team at the LIMOS Laboratory (Laboratory of Computer Science, Modeling, Optimization, and Electronic Systems).

    • Knowledge representation
    • Reasoning on knowledge bases
    • Preference handling
    • Fuzzy logic
    • Artificial intelligence applications in medical imaging

    Recent Research Projects in AI for Medical Imaging

    • Deep learning for blood cell segmentation and counting
    • Bi-ESRGAN for document image super-resolution
    • Progressive deep transfer learning for Alzheimer's disease diagnosis using MRI
    • Combined deep transfer learning approaches for pneumonia detection in chest X-rays

    Thank you for visiting.

    — Dr. Fayçal Touazi

    Indicateurs Bibliométriques

    Google Scholar
    Citations: 163
    H-index: 7
    I10-index: 6
    ResearchGate
    RG-score: 64
    Citations: 123
    H-index: 6
    ORCID
    0000-0001-5949-5421
    Scopus
    Citations: 82
    H-index: 5
    Web of Science
    Citations: 34
    H-index: 4