PhD Student in Computer Science
3D Geometric Deep Learning for Deformable Shape Analysis
I am a PhD student working on 3D geometric representation learning and geometric deep learning for deformable 3D shape analysis (applied to protein molecular surfaces, protein classification, and structural similarity analysis).
Always eager to learn, improve, and explore new research challenges.
About
Academic Background
A short overview of my academic path and current research direction.
PhD in Computer Science
INSA Lyon / LIRIS Laboratory, France
Current PhD work on 3D geometric deep learning for deformable protein molecular surface classification.
Master in Advanced Information Systems
University of Béjaïa, Algeria
Master research project on smart parking occupancy prediction using IoT, Big Data and deep learning.
Bachelor in Computer Science
University of Béjaïa, Algeria
Academic training in computer science, software development, databases and web applications.
Research
Research Interests
My research interests lie at the intersection of 3D geometry, graph learning, geometric deep learning and scientific machine learning.
My current research focuses on learning discriminative representations from 3D surfaces (meshes, point clouds ...etc). I am particularly interested in methods that combine local and global geometric information, invariant/equivariant representations, and interpretable models for scientific applications.
Research Output
Research Publications
Publications, manuscripts, technical reports, posters and presentations.
ProCLR: Supervised Contrastive Framework for Robust Protein Surface Classification
Wissam Ferroudj, Noura Faci & Hamamache Kheddouci
Accepted at the IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2025, Athens, Greece.
Geometric Features and GAT Neural Network for Protein Surface Classification
Wissam Ferroudj, Noura Faci & Hamamache Kheddouci
Accepted at the 5th International Conference on Database and Expert Systems Applications, Aug 2024, Naples, Italy.
Architecture d’Analyse de Big Data Basée sur l’Apprentissage Profond pour le Stationnement Intelligent: Étude et Comparaison des Outils
Samira Yessad, Souaad Boussoufa-Lahlah, Wissam Ferroudj, Kenza Djellaoui, Louiza Bouallouche-Medjkoune
Accepted at Colloque sur les Objets et Systèmes Connectés 2023, Jun 2023, Mahdia, Tunisia.
Projects
Technical Projects
Selected academic and software projects developed during my previous training.
Bachelor Project
Teaching Management Web Platform
A web platform designed to manage teaching activities in a high school. The system supports user management, courses, classes and administrative tasks through a database-driven interface.
Technical Project
HANOUTI Commercial Management Application
A UML-based modelling and implementation project for a commercial management application. The application covers product management, sales processing, stock monitoring and customer-related operations.
Technical Project
BMT Béjaïa Revenue Prediction Application
A data-driven application for revenue prediction using machine learning. The project includes data extraction from MongoDB, ETL processing with Talend Open Studio, analysis dashboards and predictive modelling.
Master Project
Smart Parking Prediction System
An intelligent parking system combining IoT, Big Data and deep learning for short-term parking occupancy prediction. The work includes data preparation, time-series modelling and prediction using recurrent neural networks.
Experience
Experience & Technical Skills
Teaching experience and technical skills used in research and software development.
Teaching Experience
ESME Lyon
Teaching activities in computer science and technical modules, including programming, databases and related topics.
Technical Profile
I combine research-oriented skills in machine learning, graph neural networks and 3D data processing with practical software engineering experience in web development, databases, Docker and Git.
Programming
Python
JAVA
JavaScript
C++
HTML5
CSS3Deep Learning
PyTorch
TensorFlow
Scikit-learn3D & Graph Learning
PyTorch GeometricMesh Processing3D Shape AnalysisData & Databases
SQL
MongoDB
Pandas
NumPy
SciPyTools
Docker
Git
GitHub
Linux
Jupyter