Adaptive Workload Orchestration in Pure Edge Computing: A Reinforcement-Learning Model. - Zahra Safavifar; Saeedeh Ghanadbashi; Fatemeh Golpayegani (ICTAI, 2021)

A Robust Adaptive Workload Orchestration in Pure Edge Computing. - Zahra Safavifar; Charafeddine Mechalikh; Fatemeh Golpayegani (ICAART (2), 2023)

Fault Tolerant Robust Adaptive Workload Orchestration in Pure Edge Computing. - Zahra Safavifar; Charafeddine Mechalikh; Fatemeh Golpayegani (ICAART (Revised Selected Paper), 2023)

Enhancing VRUs Safety Through Mobility-Aware Workload Orchestration with Trajectory Prediction using Reinforcement Learning. - Zahra Safavifar; Charafeddine Mechalikh; Junfei Xie; Fatemeh Golpayegani (ITSC, 2023)

Multi-Objective Deep Reinforcement Learning for Efficient Workload Orchestration in Extreme Edge Computing. - Zahra Safavifar; Eric Gyamfi; Eleni E. Mangina; Fatemeh Golpayegani (IEEE Access, 2024)

Handling uncertainty in self-adaptive systems: an ontology-based reinforcement learning model. - Saeedeh Ghanadbashi; Zahra Safavifar; Farshad Taebi; Fatemeh Golpayegani (J. Reliab. Intell. Environ., 2024)

Quality matters: A comprehensive comparative study of edge computing simulators. - Charafeddine Mechalikh; Abd El Heq Silem; Zahra Safavifar; Fatemeh Golpayegani (Simul. Model. Pract. Theory, 2025)