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, reinforcement 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
- Associate Teacher, El Tarf University
- Data Structures and Algorithms in C (Sep 2024 - Present)
- Mathematical Logic (Sep 2024 - Feb 2025)
- Artificial Intelligence (Jan 2025 - Present)
- Teaching Assistant, El Tarf University
- Data Structures and Algorithms in C (Sep 2023 - Feb 2024)
- Data Structures and Algorithms (Feb 2024 - Aug 2024)
- Teacher, Paramedical Training Institute
- Information Technology (Feb 2024 - Feb 2025)
- 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)
Short Term Visits
- Visiting Scholar, Duke Kunshan University, China (Jan 2025 - Feb 2025)
Talks
- Image Compression based on Deep Learning, (Artificial Intelligence Week-2023)
Academic Services
- Reviewer, Neural Computing and Applications
- Reviewer, The Journal of Supercomputing
Publications
- Ramzi Khantouchi, Ibtissem Gasmi, and Abderaouf Bahi
"3bit Quantized On-device Recommendation System",(NCASEE-2024)
[Paper][Code] - Abderaouf Bahi, Ibtissem Gasmi, Sasi Bentrad, and Ramzi Khantouchi
"A Graph Neural Network Model for Diverse E-Commerce Recommendations Using Timestamp-Weighted Edges",
(NCAIIT-2024)
[Paper] - Abderaouf Bahi, Ibtissem Gasmi, Sasi Bentrad, and Ramzi Khantouchi
"MycGNN: enhancing recommendation diversity in e-commerce through mycelium-inspired graph neural network",
Electronic Commerce Research (ELEC)
[Paper] - Ramzi Khantouchi, Ibtissem Gasmi, and Abderaouf Bahi
"Enhancing recommendation quality in sparse scenarios using Large Language Models (LLMs)",
(ICSIS-2024)
[Paper] - Ramzi Khantouchi, Ibtissem Gasmi, and 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] - Abderaouf Bahi, Ibtissem Gasmi, Sasi Bentrad, Ramzi Khantouchi and Maroua Benleulmi “In-depth Exploration and Sentiment Analysis of Women's E-Commerce Clothing Ratings using SVM and Logistic Regression”, (ICDSIA-2023)
- Ibtissem Gasmi, Fouzia Anguel and Ramzi Khantouchi "E-learning platform based on Recommender System", (NCAIIT-2021)