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
- Proceedings of the 2026 IEEE 12th International Conference on Network Softwarization (NetSoft)
- Predictive maintenance for a hydraulic system on a vehicle using LSTM-based autoencoder
- Redefinition of Inter-Message Arrival Time for Robust Controller Area Network Intrusion Detection
- AIForwarder: Multi-Objective AI Inference Serving at the Edge with Dynamic Model Activation
- ARISE: Unified Online Traffic Analyzer and Scheduling Engine in 5G Open-RAN
- TinyContainer: Container Runtime Middleware Enabling Multi-tenant Microcontrollers with Built-in Security
- Optimal Data Pipelining for in-Network Learning
- Multi-Resource Explicit Congestion Notification
- Dependency-Aware Dominant Resource Fairness for Multi-Tenant Multi-Resource Systems
- treVM: Tiny Rust Embedded Virtual Machines with WASM on Variable Resource-Constrained Hardware
- Energy-Efficient Antenna Muting in Massive MIMO Networks Using Deep Reinforcement Learning
- Theoretical Analysis and Adaptive Optimization of Random Access for VDE-SAT Systems
- Energy-Efficient Uplink-Downlink Decoupling for 6G TN-NTN Multi-Connectivity
- LLM Signaling for Agentic 6G Network Services
- Carrier Priority Control for Energy-Efficient Multi-Band Networks: A DRL-Based Approach
- Optimal Load Balancing in Federated Locator/ID Separation Protocol (LISP) Traffic Engineering
- O-RAN Integrated Space-Terrestrial Networks: A Multi-Connectivity Strategy Analysis
- DS-Route: GNN-based Flow-Level Latency Prediction in Software-Defined LEO Satellite Networks
- Demo Abstract: TinyContainer: Access Control & Scheduling for Runtimes on Microcontrollers
- 5G RedCap Devices Driving the Evolution of Cellular IoT: A Review
- Energy-Efficient Function Chaining and Assignment for In-Network Learning
- Systematization of Knowledge on Offline-Capable Digital-Currency Protocols
- Beyond All-Reduce: Event-Driven Model Parallelism Without Collective Communication Primitives (EBD2N)
- Federated Multi-RIC Threat Intelligence for Secure and Scalable Open 6G Radio Access Networks
- Block-PAD: A blockchain-enabled framework for resilient and flexible CBDC transactions leveraging digital identity
- Amawal n Tsenselkimt: Tafṛansist - Taglizit - Taqbaylit
- Joint Design of Coding and Modulation for Digital Over-the-Air Computation
- ATS-CP: an Adaptive Framework for Traffic State Collection and Prediction in Software-Defined LEO Satellite Networks
- On Graph Design for GNN-based Network Anomaly Detection
- Accurate Beam Tracking for Robust USV-to-Satellite Transmission Under Wave Fluctuation
- Lightweight RL-Based Raptor Codes for Inter-Satellite Transmission in LEO Satellite Network
- Exploring Verifiable and Privacy-Preserving Federated Learning through Differential Privacy and Cryptographic Protocols
- 5G-Attacks: A New Dataset From Realistic 5G-Core Attacks
- Programmable Packet Scheduling on FPGA-based Switches
- Data plane systems for network monitoring and packet scheduling in programmable networks
- Real-time Botnets Activity Detection
- Rethinking AI Deployment in IoT Architectures: Granular AI
- An FPGA-Based LDPC Decoder for Smart-NICs
- Inside Job: Defending Kubernetes Clusters Against Network Misconfigurations
- Securing maritime NMEA 2000: Detecting cyber-attacks through PGN analysis
