Advancing knowledge in Artificial Intelligence, Machine Learning, and Smart Systems through innovative research and real-world applications
Exploring cutting-edge technologies for sustainable solutions
Developing intelligent systems using deep learning, ensemble methods, and neural networks for prediction, classification, and decision-making across various domains.
Making AI decisions transparent and interpretable using SHAP values, LIME, and other explanation techniques to build trustworthy AI systems.
Designing efficient protocols for Delay Tolerant Networks (DTN), IoT systems, and wireless sensor networks with optimized routing strategies.
Leveraging AI and IoT for intelligent urban management including smart parking, bike sharing systems, and traffic optimization.
Developing ML-based systems for detecting fake accounts, spam, credit card fraud, and web attacks in social networks and IoT environments.
Applying game-theoretic models and optimization algorithms like NSGA-II, MOPSO for network optimization and strategic decision-making.
Current and recent research initiatives
Developing fine-tuned transformer models for detecting fake accounts and social bots on Facebook and Instagram.
Hybrid MOPSO-SMOTE approach for handling imbalanced datasets in fraud detection systems.
Ensemble models with SHAP explanations for predicting and interpreting student academic performance in African smart cities.
IoT-based parking availability prediction using ensemble learning and spatio-temporal clustering.
ML-based demand prediction for bike sharing systems in smart cities using IoT sensors.
Hierarchical routing topology (DRHT) for delay tolerant networks with game-theoretic optimization.
International collaborations and partnerships
Morocco
Vietnam
Cameroon
France, Spain
Tech Companies
High-impact research contributions
Knowledge sharing and professional development
Opening the Black Box – Making AI Understandable for Everyone
February 6th, 2026
Indonesia
8 AM
Du Sujet à la Publication - Session 1
8 novembre 2025
ENS - Meknès
9h30
Défis, pratiques et perspectives - Session 1
7 Février 2026
ENS - Meknès
10h00
Opening the Black Box – Making AI Understandable for Everyone
Febery 6, 2025
ENS - Meknès
8 AM
I'm always open to discussing research opportunities, supervising PhD students, and exploring new projects
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