Marios Avgeris
PhD

UvA - LAB42
Science Park 900
1098 XH Amsterdam, Netherlands
I am currently holding an Assistant Professor position with the Informatics Institute (IvI) at the University of Amsterdam (UvA), carrying out work in the Multiscale Networked Systems (MNS) group. My research focuses in next-generation network management and orchestration, combining techniques from machine learning, and control theory. Specifically, I focus on designing intelligent, self-adaptive network architectures that leverage advanced AI techniques and/or rigorous control-theoretic principles to optimize performance and formally guarantee reliability. Recently, I have also been exploring the development of goal-oriented, semantic communication frameworks and the integration of generative AI to enable proactive network optimization, digital twinning, and zero-touch service management.
I have received my diploma from the Department of Electrical and Computer Engineering (ECE) at the National Technical University of Athens (NTUA), Greece, in 2016, and my PhD from the same department in 2021. All this time at NTUA I was embedded at the NETwork Management and Optimal DEsign (NETMODE) Lab. From 2022 to 2024, I was a Postdoctoral Fellow with the Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada and the Software and Information Technology Engineering department at the École de Technologie Supérieure (ÉTS), Montreal, Canada. In parallel, I worked at Ericsson Canada. During that time, I was also awarded the CU-PSAC Postdoctoral Fellow Research Award.
More details about my background can be found here: Curriculum Vitae
Research Areas of Interest:
Edge, Fog & Cloud Computing | Computational Offloading | Network Resource Allocation | NFV/SFC Placement | Network Self Optimization & Management | Intent-Based Networking | Edge Robotics | IoT | Reinforcement Learning (RL) | Control Theory | 5G/6G Networks
News
Aug 6, 2025 | Our paper ‘FEDORA: Federated Ensemble Reinforcement Learning for DAG-Based Task Offloading and Resource Allocation in MEC’ has been published in IEEE Internet of Things Journal! ![]() |
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Jul 9, 2025 | Our demo ‘Programmable & Trustworthy Data Paths for Sovereign Network Services’ was presented today at the 25th International Conference on Transparent Optical Networks (ICTON 2025)! ![]() |
Jun 19, 2025 | I gave an invited talk on “Networks for AI” for the IEEE Future Networks Ar-ficial Intelligence & Machine Learning (AIML) Working Group. Slides and video available. ![]() |
Apr 16, 2025 | Our work on ‘Reinforcement Learning-based Adaptive Path Selection for Programmable Networks’ was presented today as a poster at NWO ICT.OPEN 2025 in Utrecht! ![]() |
Apr 1, 2025 | Our work Digital Sovereignty in Practice: Leveraging In-Band Telemetry and ML for a Responsible Internet was successfully presented today as a demonstrator at OFC50 in San Fransisco! ![]() |