Ramzi Khantouchi

Ramzi Khantouchi

Ph.D. student

El Tarf University

r.khantouchi[AT]univ-eltarf.dz

About Me

I am a PhD student in Artificial Intelligence with expertise in a variety of areas, including machine learning, deep learning, self-supervised learning, computer vision, natural language processing, and recommender systems. My research focuses on developing innovative deep learning algorithms that can effectively tackle complex real-world problems.

Education

  • Ph.D. in Artificial Intelligence and its Applications
    El Tarf University
    Feb,2023 - Present
  • M.S. in Intelligent Computer Systems
    El Tarf University
    2019 - 2021
  • B.S. in Comupter Science
    El Tarf University
    2016 - 2019

Membership

  • Member, Computer Science and Applied Mathematics Laboratory (LIMA)

Teaching Experience

  • Teaching Assistant, El Tarf University
    • Data Structures and Algorithms in C (Sep 2023 - Feb 2024)
    • Data Structures and Algorithms (Feb 2024 - Present)
  • Teacher, Paramedical Training Institute
    • Information Technology (Feb 2024 - Present)
  • Teacher, Government Institution
    • Data Structures and Algorithms (Oct 2023 - Feb 2024)
    • Information Systems (Oct 2023 - Feb 2024)
    • Computer Architecture (Oct 2023 - Feb 2024)
    • Graph Theory (Oct 2022 - Feb 2023)
    • Database Managment MySQL (Oct 2022 - Feb 2023)
    • Advanced Database Administration (Feb 2023 - Jul 2023)
    • Design and Implementation of Client-Server applications (Feb 2023 - Jul 2023)
  • Teacher, Middle School
    • Mathematics (Apr 2022 - Aug 2022)

Talks

  • Image Compression based on Deep Learning, (Artificial Intelligence Week-2023)

Academic Services

Publications

  • Ramzi Khantouchi, Ibtissem Gasmi, Mohamed Amine Ferrag "Eye-Net: A Low-Complexity Distributed Denial of Service Attack-Detection System Based on Multilayer Perceptron", Journal of Sensor and Actuator Networks (JSAN)
    [Paper]
  • A. Bahi, I. Gasmi, S. Bentrad, R. Khantouchi and M. Benleulmi “In-depth Exploration and Sentiment Analysis of Women's E-Commerce Clothing Ratings using SVM and Logistic Regression”, (ICDSIA-2023)
  • I. Gasmi, F. Anguel and R. Khantouchi "E-learning platform based on Recommender System", (NCAIIT-2021)