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
Professors' publications
- ALARM: Adaptive Layer-Aware Resource Management for Power-Efficient vRANs
- PQTrust-Agent: Policy-Compiled Post-Quantum Trust Contracts for Web-of-Agents Communications
- Evaluating Indirect Prompt Injection in RAG Systems: Defense-in-Depth, Retrieval Effects, and Security-Utility Trade-offs
- Measuring the Operational Value of Identity-Driven Micro-Segmentation in Hybrid Environments: A Reproducible Comparison with ACL-Based Segmentation
- Building a Community-Grounded Spell Checker for the Kabyle Language Using NLP Powered by AI
- CIGMA: An Evidence-Grounded Cryptographic Inventory Graph for Reproducible Post-Quantum Migration Prioritization
- From Attack Scenario to Measurable Detection Improvement: A Knowledge-Driven ATT&CK/D3FEND Framework for Instrumented Purple Teaming
- CLIN-FL: Cost-efficient Load-balancing for In-Network Federated Learning with non-IID data
- Context vs. Compute: Self-Hosted Detection Rule Generation with Knowledge-Graph-Augmented Language Models
- AgentFlowShield: Defending LLM Agents Against Metadata Side Channels
- Occamy: Latency-Aware Scheduling with Controlled Degradation for Mixed-Criticality AI at the Edge
- The Life of a Token: from Words to Bits on the Wire
- GovSecLLM++: A Compliance-Aware Benchmark for Security Testing and Governance Evidence in LLM-Based Applications
- Knowledge-Graph-Constrained LLM Generation of SIEM Detection Rules
- Benchmarking Detection Engineering Improvements through Instrumented Adversary Emulation
- Monolithic versus Disaggregated 5G-RAN Open Systems
- Energy-Efficient Adaptive Zero Trust Security for Automotive CAN Networks
- 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
- ARISE: Unified Online Traffic Analyzer and Scheduling Engine in 5G Open-RAN
- AIForwarder: Multi-Objective AI Inference Serving at the Edge with Dynamic Model Activation
- 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
- Theoretical Analysis and Adaptive Optimization of Random Access for VDE-SAT Systems
- Energy-Efficient Uplink-Downlink Decoupling for 6G TN-NTN Multi-Connectivity
- Energy-Efficient Antenna Muting in Massive MIMO Networks Using Deep Reinforcement Learning
- 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)
- Secure k-means Clustering using Homomorphic Encryption
