I am currently an industrial PhD student in collaboration with Ericsson France and Cnam, Paris, France, under the supervision of Prof. Stefano Secci, Prof. Stéphane Rovedakis, and Dr. Hicham Khalifé. My research focuses on developing a data-driven methodology for sustainable
Teachers' publications
- Energy-Efficient Uplink-Downlink Decoupling for 6G TN-NTN Multi-Connectivity
- O-RAN Integrated Space-Terrestrial Networks: A Multi-Connectivity Strategy Analysis
- Epidemiology and management of malignancies in patients with inborn errors of immunity—An ESID registry study of 19,959 patients
- Novel Bioactive Multifunctional Polyphenols: A Chemo‐Enzymatic Approach
- Clinical Manifestations of Emerging Trichosporon spp. Infections, France
- MetaLore: learning to orchestrate communication and computation for metaverse synchronization
- Real-time Botnets Activity Detection
- Entanglement routing in large-scale quantum networks with ground-space interconnection
- An FPGA-Based LDPC Decoder for Smart-NICs
- LIFT: Byzantine Resilient Hub-Sampling
- An AI Security Testbed for the 5G Core
- Shared Responsibility in Multi-Tenant Microcontrollers
- Feature Skew Control for In-Network Federated Learning
- Les langues peu dotées à l’ère du numérique et de l’IA : exemple de la langue kabyle
- Randomness is good enough in DAG-based Federated Learning
- ORCA: Unveiling Obscure Containers In The Wild
- The Multi-controller Model in Cloud Management
- FLAIR: Distributed Federated Learning with Dynamic Clustering
- TinyML as a Service on Multi-Tenant Microcontrollers
- Interpretability and Identification of the Impact of ML-Based Localization Model Key Parameters
- Energy-Efficient CP-Free OFDM Transmission with Blind Channel Estimation for IIoT Applications
- Inborn errors of immunity: Manifestation, treatment, and outcome—an ESID registry 1994–2024 report on 30,628 patients
- Leveraging Graph Neural Networks for Attack Detection in IoT Systems
- Deep Q-ICAN: A Deep Reinforcement Learning-based Approach for Real-time CPA Attack Detection and Mitigation in NDN Architecture
- Federated learning for secure in-vehicle communication
- Multi-Task Learning for Joint Indoor Localization and Blind Channel Estimation in OFDM Systems
- Enhancing Security and Privacy in 5G Bubbles with Zero-Knowledge Proofs: A Comparative Analysis
- Towards a Secure Modular Drone-Based Hardware Architecture for IoT-Enabled Traffic Safety in Intelligent Transportation Systems
- Unsupervised Deep Learning for Behavioral and Quality Anomaly Detection in 5G Networks: Early Methods and Challenges
- Non-Terrestrial Disaggregated RAN: Prospective Architectures and Performance Insights
- Exploiting Internet's Shadow Areas for Stealth Interception BGP Hijack at Internet Exchange Points
- Comment se rassembler (avec certitude) quand on est confus et désorienté
- Les étoiles montantes de l'apprentissage distribué
- Des noeuds anonymes hissés au rang de stars
- Rendez-vous au Point-Dont-On-Ne-Doit-Pas-Calculer-Les-Coordonnées
- Deterministic Color-optimal Self-stabilizing Semi-synchronous Gathering: a Certified Algorithm
- Energy Optimization for Multi-Band Cellular Networks: A Traffic Prediction-Based Strategy
- Distributed computation of temporal twins in periodic undirected time-varying graphs
- Distributed Computation of Temporal Twins in Periodic Undirected Time-Varying Graphs
- Comparative E2E Performance Analysis of O-RAN Designs in a 5G Standalone Testbed
