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
- Clinical Manifestations of Emerging Trichosporon spp. Infections, France
- Novel Bioactive Multifunctional Polyphenols: A Chemo‐Enzymatic Approach
- MetaLore: learning to orchestrate communication and computation for metaverse synchronization
- Real-time Botnets Activity Detection
- An FPGA-Based LDPC Decoder for Smart-NICs
- Entanglement routing in large-scale quantum networks with ground-space interconnection
- LIFT: Byzantine Resilient Hub-Sampling
- An AI Security Testbed for the 5G Core
- Feature Skew Control for In-Network Federated Learning
- Shared Responsibility in Multi-Tenant Microcontrollers
- 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
- The Multi-controller Model in Cloud Management
- ORCA: Unveiling Obscure Containers In The Wild
- FLAIR: Distributed Federated Learning with Dynamic Clustering
- TinyML as a Service on Multi-Tenant Microcontrollers
- 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
- Towards a Secure Modular Drone-Based Hardware Architecture for IoT-Enabled Traffic Safety in Intelligent Transportation Systems
- Enhancing Security and Privacy in 5G Bubbles with Zero-Knowledge Proofs: A Comparative Analysis
- 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
- Deterministic Color-optimal Self-stabilizing Semi-synchronous Gathering: a Certified Algorithm
- Les étoiles montantes de l'apprentissage distribué
- Comment se rassembler (avec certitude) quand on est confus et désorienté
- Rendez-vous au Point-Dont-On-Ne-Doit-Pas-Calculer-Les-Coordonnées
- Des noeuds anonymes hissés au rang de stars
- 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
- Data-driven Energy Optimization in Mobile Networks with User Experience Guarantees
- DREAM: Dual foREcAsting Model for Network Anomaly Detection
- GNN graph structures in network anomaly detection
- Timing of inversion of the Weald–Boulonnais basin inferred from calcite U–Pb geochronology of brittle structures along the Opal Coast, northern France
- Molecular diagnosis of kidney allograft rejection based on the Banff Human Organ Transplant gene panel: a multicenter international study
