Marios Avgeris

PhD

prof_pic.jpg

UvA - LAB42

Science Park 900

1098 XH Amsterdam, Netherlands

I am a Tenured Assistant Professor at the Informatics Institute (IvI), 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

UvA


Outside the academia, I am a dedicated long distance runner! 🏃


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 | AI-based Network COnfiguration | Goal-oriented/Semantic Communications


News

Jan 18, 2026 Our paper ‘Dependent Task Offloading in Vehicular Edge Computing Using Trajectory-Aware Deep Reinforcement Learning’ has been accepted for IEEE ICC 2026! :star_struck:
Jan 12, 2026 Our paper ‘An End-to-End Smart Radio Log Anomaly Detection Architecture for 5G/6G Networks’ has been published in IEEE Communications Magazine! :star_struck:
Dec 19, 2025 Our paper ‘A Multi-Agent AI Approach to Intent-Based Network Configuration’ has been accepted for ICIN 2026! :star_struck:
Nov 25, 2025 I gave an invited talk on “An End-to-end Smart Radio Log Anomaly Detection Architecture for 5G/6G Networks” for the Ericsson-Carleton Tech Talks. :speaking_head:
Nov 11, 2025 I gave an invited talk on “SemCom Enabled, Agentic AI-based 6G Architecture” for the IEEE Future Networks World Forum 2025. :speaking_head:

Selected Publications

  1. Adaptive resource allocation for computation offloading: A control-theoretic approach
    Marios Avgeris, Dimitrios Dechouniotis, Nikolaos Athanasopoulos, and 1 more author
    ACM Transactions on Internet Technology (TOIT), 2019
  2. Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions
    Firdose Saeik, Marios Avgeris, Dimitrios Spatharakis, and 7 more authors
    Computer Networks, 2021
  3. VNF Placement and Dynamic NUMA Node Selection Through Core Consolidation at the Edge and Cloud
    Taha Ben Salah, Marios Avgeris, Aris Leivadeas, and 1 more author
    IEEE Transactions on Network and Service Management, 2024
  4. tvt2025.png
    Cooperative Learning-Based Framework for VNF Caching and Placement Optimization Over Low Earth Orbit Satellite Networks
    Khai Doan, Marios Avgeris, Aris Leivadeas, and 2 more authors
    IEEE Transactions on Vehicular Technology, 2025
  5. EMDTORA: Energy-Aware Multi-User Dependent Task Offloading and Resource Allocation in MEC Using Graph-Enabled DRL
    Sangrez Khan, Marios Avgeris, Julien Gascon-Samson, and 1 more author
    IEEE Transactions on Green Communications and Networking, 2024