Fellows

Name: Mohamed Readh Fentazi

Institution: EURECOM

Supervisor: Prof. Adlen Ksentini

Brief CV:

Mohamed Readh FENTAZI is a PhD student at EURECOM, working on Explainable Artificial Intelligence (XAI) methods for Distributed Management and Orchestration (DMO) in 6G networks. He holds an engineering degree in Intelligent Systems and Data from the National Higher School of Computer Science (ESI) in Algiers.

His research focuses on developing novel XAI algorithms tailored to networking systems and integrating these models into Zero-touch Service Management (ZSM) closed-control loops. This integration aims to enhance decision-making processes by combining machine reasoning and explainable AI for efficient network and service management. Mohamed’s work involves leveraging advanced AI/ML models—such as RNNs and LSTMs—to address the complexity of next-generation networks, ensuring operational trust and reliability.

As part of the EXACT-6G project, Mohamed is dedicated to advancing explainable and autonomous AI systems to improve resource management and reduce operational costs in 6G infrastructures.

Name: Ali Raza

Institution: University of Oulu

Supervisor: Prof. Markku Juntti

Brief CV:

Ali completed his MS in Electrical Engineering from COMSATS University Islamabad in 2020, during which he served as a Research Assistant. His thesis focused on spatial modeling of interference in inter-vehicular networks within a 3D volumetric environment, contributing valuable insights to vehicular communication research. Following his graduation, Ali collaborated on innovative research projects with GC University and University College Cork. His work concentrated on incorporating RIS in the mmWave/THz spectrum, exploring its transformative potential in smart industrial environments and other advanced scenarios. Currently, Ali is pursuing a PhD through the Marie-Curie EXACT-6G project at the University of Oulu. His research continues to push the boundaries of wireless communication by integrating RIS into 6G system designs, ensuring the development of future-ready communication networks.

Name: Pavlos Alexias

Institution: Iquadrat Informatica S.L

Supervisor: Dr. John Vardakas

Brief CV:

Pavlos Alexias earned his MEng in Electrical Engineering from the National Technical University of Athens (NTUA) in 2021. His thesis focused on applying Machine Learning techniques to predict fuel consumption in the maritime industry. Following his graduation, he joined an ICT company as a Data Scientist and Research Engineer, where he honed his skills in data analysis and research. Currently, Pavlos is pursuing an industrial PhD through the Marie-Curie EMPOWER-6G program at Iquadrat, where he continues to expand his expertise in cutting-edge technologies.