CV

Education

• Ph.D. in Machine Learning, KAUST, (Ongoing)
• M.Sc. in Electrical and Computer Engineering, KAUST, 2022
• Diplôme d’Ingénieur in Multidisciplinary Engineering, Ecole Polytechnique de Tunisie, 2020
• Classes Préparatoires in Mathematics and Physics, University of Sfax, 2017

Interests

• Reinforcement Learning
• Deep Learning
• Online Learning
• Federated Learning
• Machine Learning
• Artificial Intelligence

Publications

Federated Combinatorial Multi-Agent Multi-Armed Bandits

Combinatorial Stochastic-Greedy Bandit

FilFL: Client Filtering for Optimized Client Participation in Federated Learning

Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback

Network Graph Generation through Adaptive Clustering and Infection Dynamics: A Step Towards Global Connectivity

Wheat Head Detection using Deep, Semi-Supervised and Ensemble Learning

Artificial intelligence for satellite communication: A review

Presentations

Combinatorial Stochastic Bandits

March 12, 2024

Presentation at ROCS Seminar, KAUST

Reinforcement Learning in Large Decision Spaces

January 18, 2024

Presentation at Ph.D. Proposal, KAUST

Randomized Greedy Learning

February 19, 2023

Presentation at Rising Stars in AI Symposium 2023, KAUST

Teaching

AI Week, 2nd Cohort

AI Week

AI Summer School

Introduction to Artificial Intelligence

AMCS211 Numerical Optimization

AMCS241 Stochastic Processes