Amine Kidane

Amine Kidane Ghebreziabiher received his Computer Engineering degree from Khalifa University of Science and Technology, Abu Dhabi, UAE, in 2024.

He completed his research internship at New York University Abu Dhabi, in 2023.

Currently, he is a Research Assistant at the KU 6G Research Center, Khalifa University under the supervision of Prof. Azzam Mourad.

His research interests include large language models, 5G/6G wireless networks, vehicular networks, computer vision, and reinforcement learning.

publications

Large language Model-Based Trajectory Forecasting for Dependency-Aware Microservice Migration in 6G Vehicular Edge Networks

D. Ayepah-Mensah, A. K. Ghebreziabiher, G. O. Boateng, and 5 more authors

IEEE Transactions on Wireless Communications, Oct 2025

Bib

@article{ayepah2025llm,
  title = {Large language Model-Based Trajectory Forecasting for Dependency-Aware Microservice Migration in 6G Vehicular Edge Networks},
  author = {Ayepah-Mensah, D. and Ghebreziabiher, A. K. and Boateng, G. O. and Mizouni, R. and Mourad, A. and Otrok, H. and Bentahar, J. and Muhaidat, S.},
  journal = {IEEE Transactions on Wireless Communications},
  year = {2025},
  month = oct,
  status = {submitted},
}

AI-Native Cloud-Edge Orchestration for 6G Metaverse Networks: An LLM-Guided Multi-Agent DRL Approach

D. Ayepah-Mensah, A. K. Ghebreziabiher, G. O. Boateng, and 5 more authors

Complex & Intelligent Systems, Aug 2025

Bib

@article{ayepah2025ai,
  title = {AI-Native Cloud-Edge Orchestration for 6G Metaverse Networks: An LLM-Guided Multi-Agent DRL Approach},
  author = {Ayepah-Mensah, D. and Ghebreziabiher, A. K. and Boateng, G. O. and Mizouni, R. and Mourad, A. and Otrok, H. and Bentahar, J. and Muhaidat, S.},
  journal = {Complex \& Intelligent Systems},
  year = {2025},
  month = aug,
  status = {submitted},
}

A RAG-assisted DRL Framework for Microservices Deployment in 6G Vehicular Networks

D. Ayepah-Mensah, A. K. Ghebreziabiher, G. O. Boateng, and 5 more authors

In Proc. IEEE WiMob, Oct 2025

Bib

@inproceedings{ayepah2025rag,
  title = {A RAG-assisted DRL Framework for Microservices Deployment in 6G Vehicular Networks},
  author = {Ayepah-Mensah, D. and Ghebreziabiher, A. K. and Boateng, G. O. and Mizouni, R. and Mourad, A. and Otrok, H. and Bentahar, J. and Muhaidat, S.},
  booktitle = {Proc. IEEE WiMob},
  address = {Marrakech, Morocco},
  year = {2025},
  month = oct,
  publisher = {Institute of Electrical and Electronics Engineers,},
  status = {to be published},
}

On-Demand Vehicular Service Deployment in 6G: A Collaborative Large-Small LM Architecture

A. K. Ghebreziabiher and others

IEEE Vehicular Technology Magazine, Jul 2025

Bib

@article{ghebreziabiher2025ondemand,
  title = {On-Demand Vehicular Service Deployment in 6G: A Collaborative Large-Small LM Architecture},
  author = {Ghebreziabiher, A. K. and others},
  journal = {IEEE Vehicular Technology Magazine},
  year = {2025},
  month = jul,
  status = {submitted},
}

Move-LLM: Multimodal LLM-assisted DRL Framework for On-Demand Service Deployment in 6G Vehicular Networks

G. O. Boateng, A. K. Ghebreziabiher, R. Mizouni, and 4 more authors

IEEE Transactions on Vehicular Technology, Jun 2025

Bib

@article{boateng2025move,
  title = {Move-LLM: Multimodal LLM-assisted DRL Framework for On-Demand Service Deployment in 6G Vehicular Networks},
  author = {Boateng, G. O. and Ghebreziabiher, A. K. and Mizouni, R. and Mourad, A. and Otrok, H. and Bentahar, J. and Muhaidat, S.},
  journal = {IEEE Transactions on Vehicular Technology},
  year = {2025},
  month = jun,
  status = {submitted},
}

Towards On-Demand Metaverse Service Deployment in 6G Vehicular Networks Using Multimodal LLMs

G. O. Boateng, A. K. Ghebreziabiher, R. Mizouni, and 4 more authors

In Proc. IEEE INFOCOM, May 2025

Abs Bib

This paper presents a novel approach for on-demand metaverse service deployment in 6G vehicular networks using multimodal large language models (LLMs). The proposed framework enables efficient orchestration of metaverse services by leveraging the capabilities of LLMs to understand and process multimodal data including text, images, and sensor information from vehicular environments.
@inproceedings{boateng2025towards, title = {Towards On-Demand Metaverse Service Deployment in 6G Vehicular Networks Using Multimodal LLMs}, author = {Boateng, G. O. and Ghebreziabiher, A. K. and Mizouni, R. and Mourad, A. and Otrok, H. and Bentahar, J. and Muhaidat, S.}, booktitle = {Proc. IEEE INFOCOM}, address = {London, UK}, year = {2025}, month = may, publisher = {Institute of Electrical and Electronics Engineers,}, status = {to be published}, }