Parisa Fard Moshiri

According to our database, Parisa Fard Moshiri authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

Parisa Fard Moshiri, Xinyu Zhu, Poonam Lohan, Burak Kantarci, Emil Janulewicz

CoRR, July, 2025

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

Mahsa Paknejad, Parisa Fard Moshiri, Murat Simsek, Burak Kantarci, Hussein T. Mouftah

CoRR, July, 2025

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

Parisa Fard Moshiri, Murat Simsek, Burak Kantarci

IEEE Trans. Netw. Serv. Manag., April, 2025

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

Mahsa Paknejad, Parisa Fard Moshiri, Murat Simsek, Burak Kantarci, Hussein T. Mouftah

CoRR, March, 2025

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

Parisa Fard Moshiri, Murat Simsek, Burak Kantarci

CoRR, March, 2025

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

Parisa Fard Moshiri, Murat Arda Onsu, Poonam Lohan, Burak Kantarci, Emil Janulewicz

CoRR, February, 2025

2024

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

Parisa Fard Moshiri, Murat Simsek, Burak Kantarci

Proceedings of the IEEE International Conference on Communications, 2024

Towards Sustainable Edge Computing: Efficient Task Offloading for Energy Efficiency and Latency Reduction.

Parisa Fard Moshiri, Murat Simsek, Burak Kantarci

Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023

Enhancing CSI-Based Human Activity Recognition by Edge Detection Techniques.

Hossein Shahverdi, Mohammad Nabati, Parisa Fard Moshiri, Reza Asvadi, Seyed Ali Ghorashi

Inf., 2023

2021

A CSI-Based Human Activity Recognition Using Deep Learning.

Parisa Fard Moshiri, Reza Shahbazian, Mohammad Nabati, Seyed Ali Ghorashi

Sensors, 2021

Generative Adversarial Networks (GANs) in networking: A comprehensive survey & evaluation.

Hojjat Navidan, Parisa Fard Moshiri, Mohammad Nabati, Reza Shahbazian, Seyed Ali Ghorashi, Vahid Shah-Mansouri, David Windridge

Comput. Networks, 2021

2020

Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition.

Parisa Fard Moshiri, Hojjat Navidan, Reza Shahbazian, Seyed Ali Ghorashi, David Windridge

CoRR, 2020