Federated Learning-Driven Cybersecurity Framework for IoT Networks with Privacy Preserving and Real-Time Threat Detection Capabilities. - Milad Rahmati; Antonino Pagano (Informatics, 2025)

Explainable Reliability Modeling and Runtime Monitoring of Software Systems in Electric Vehicle Charging Infrastructure. - Milad Rahmati (IEEE Trans. Engineering Management, 2025)

Federated Learning-Driven Cybersecurity Framework for IoT Networks with Privacy-Preserving and Real-Time Threat Detection Capabilities. - Milad Rahmati (CoRR, 2025)

Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions. - Milad Rahmati (CoRR, 2025)

Towards Explainable and Lightweight AI for Real-Time Cyber Threat Hunting in Edge Networks. - Milad Rahmati (CoRR, 2025)

Edge-AI based multi-criteria optimization framework for dynamic EV charging with real-time grid load, traffic, and user behavior integration. - Milad Rahmati (Computing, 2025)

Lightweight post-quantum cryptographic frameworks for real-time secure communications in IoT edge networks. - Milad Rahmati; Nima Rahmati (Telecommun. Syst., 2025)

Adaptive Federated Edge Intelligence for Real-Time Cyberthreat Detection in Resource-Constrained IoT Environments: A Lightweight Deep Learning Approach. - Milad Rahmati; Nima Rahmati (J. Comput. Virol. Hacking Tech., 2025)

Firmware-level reverse engineering and AI-augmented deobfuscation for IoT malware detection in embedded systems. - Milad Rahmati; Nima Rahmati (J. Comput. Virol. Hacking Tech., 2026)