activity
20202026
most citedGenerative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation

132 citations · 196 across the 11 of their papers we have counts for

collaborators

11 papers

cs.NI2026

Proactive SFC Provisioning with Forecast-Driven DRL in Data Centers

Parisa Fard Moshiri, Poonam Lohan, Burak Kantarci +1

Service Function Chaining (SFC) requires efficient placement of Virtual Network Functions (VNFs) to satisfy diverse service requirements while maintaining high resource utilization…

cs.NI2026

Structure-Aware NL-to-SQL for SFC Provisioning via AST-Masking Empowered Language Models

Xinyu Zhu, Parisa Fard Moshiri, Poonam Lohan +2

Effective Service Function Chain (SFC) provisioning requires precise orchestration in dynamic and latency-sensitive networks. Reinforcement Learning (RL) improves adaptability but…

cs.NI2025★ 1 cited

LiLM-RDB-SFC: Lightweight Language Model with Relational Database-Guided DRL for Optimized SFC Provisioning

Parisa Fard Moshiri, Xinyu Zhu, Poonam Lohan +2

Effective management of Service Function Chains (SFCs) and optimal Virtual Network Function (VNF) placement are critical challenges in modern Software-Defined Networking (SDN) and…

cs.NI2025★ 1 cited

Meeting Deadlines in Motion: Deep RL for Real-Time Task Offloading in Vehicular Edge Networks

Mahsa Paknejad, Parisa Fard Moshiri, Murat Simsek +2

Vehicular Mobile Edge Computing (VEC) drives the future by enabling low-latency, high-efficiency data processing at the very edge of vehicular networks. This drives innovation in k…

cs.NI2025★ 1 cited

A Reliable and Efficient 5G Vehicular MEC: Guaranteed Task Completion with Minimal Latency

Mahsa Paknejad, Parisa Fard Moshiri, Murat Simsek +2

This paper explores the advancement of Vehicular Edge Computing (VEC) as a tailored application of Mobile Edge Computing (MEC) for the automotive industry, addressing the rising de…

cs.NI2025★ 3 cited

Partitioned Task Offloading for Low-Latency and Reliable Task Completion in 5G MEC

Parisa Fard Moshiri, Murat Simsek, Burak Kantarci

The demand for MEC has increased with the rise of data-intensive applications and 5G networks, while conventional cloud models struggle to satisfy low-latency requirements. While t…

cs.NI2025★ 4 cited

Integrating Language Models for Enhanced Network State Monitoring in DRL-Based SFC Provisioning

Parisa Fard Moshiri, Murat Arda Onsu, Poonam Lohan +2

Efficient Service Function Chain (SFC) provisioning and Virtual Network Function (VNF) placement are critical for enhancing network performance in modern architectures such as Soft…

cs.NI2024★ 18 cited

Joint Optimization of Completion Ratio and Latency of Offloaded Tasks with Multiple Priority Levels in 5G Edge

Parisa Fard Moshiri, Murat Simsek, Burak Kantarci

Multi-Access Edge Computing (MEC) is widely recognized as an essential enabler for applications that necessitate minimal latency. However, the dropped task ratio metric has not bee…

cs.NI2024★ 15 cited

On the Interplay Between Network Metrics and Performance of Mobile Edge Offloading

Parisa Fard Moshiri, Murat Simsek, Burak Kantarci

Multi-Access Edge Computing (MEC) emerged as a viable computing allocation method that facilitates offloading tasks to edge servers for efficient processing. The integration of MEC…

cs.NI2021★ 132 cited

Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation

Hojjat Navidan, Parisa Fard Moshiri, Mohammad Nabati +4

Despite the recency of their conception, Generative Adversarial Networks (GANs) constitute an extensively researched machine learning sub-field for the creation of synthetic data t…

eess.SP2020★ 21 cited

Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition

Parisa Fard Moshiri, Hojjat Navidan, Reza Shahbazian +2

Indoor human activity recognition (HAR) explores the correlation between human body movements and the reflected WiFi signals to classify different activities. By analyzing WiFi sig…