Amir Javadpour

Toward Mission-Critical ISAC: Reliable Energy-Aware Coordination in UAV Swarms

Receding-Horizon Alternating Optimization (RHAO), a four-block per-slot algorithm that decomposes the problem into: charging admission via the Hungarian algorithm, MUAV trajectory and time-split via successive convex approximation, CUAV rendezvous, and WPT power allocation, with monotone convergence guarantees, is prop...

Boundary-Contiguous Initial Placement for Structured Network-Service Embedding

Hierarchical risk-aware RL for DVFS-enabled IoE scheduling

The ER-RL-DVFS framework combines an energy-risk task-priority score, DVFS-aware cluster–PM–VM profiling, hierarchical candidate filtering, deterministic score-based assignment for clearly separated candidates, selective tabular reinforcement learning as the prescribed refinement mechanism for near-tie decisions, and m...

Rule-Aware VNE for SDN Resource Management

Time-Window-Based Efficient Initial Mapping for Software-Defined Networks (TW-EIMSDN), an online VNE framework that separates immediate admission and initial embedding from deferred, gain-thresholded rule rewriting, is presented.

Moving target defense in 5G and beyond networks: A comprehensive survey and research directions

This paper presents a deployment-oriented survey of MTD for 5G, with special emphasis on learning-assisted designs that optimize what to mutate, when to mutate, and how to enforce mutation under slice-isolation, URLLC, and orchestration constraints.

A Comprehensive Survey of Generative AI: Applications and Future Directions Across Domains

The review shows that diffusion and autoregressive foundation models increasingly dominate high-fidelity image, language, and multimodal generation, while GANs, VAEs, and flow-based models remain important in data-limited, structured, scientific, and privacy-aware settings.