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 on 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
Outside academia, I am a dedicated long-distance runner!
What I work on
Research directions
AI-native orchestration & automation
Intelligent Network Management & Orchestration
Designing intelligent, self-adaptive network architectures that combine Agentic AI, machine learning, generative AI, and rigorous control-theoretic methods for reliable, proactive, and zero-touch network operation.
Computing, offloading & control
Edge–Cloud Resource Optimization
Optimizing computation offloading, resource allocation, and service placement across the edge–fog–cloud continuum, with emphasis on performance, energy efficiency, and formal reliability guarantees.
Semantic communications
Goal-oriented 6G Systems
Exploring goal-oriented and semantic communication frameworks for 5G/6G systems, together with agentic AI, that enable adaptive services and proactive network optimization.
Additional topics
- Edge, Fog & Cloud Computing
- Internet of Things
- Reinforcement Learning
- Control Theory
- Network Resource Allocation
- Edge Robotics
- AI-based Network Configuration
Updates
Recent news
| Our paper ‘Dependent Task Offloading in Vehicular Edge Computing Using Trajectory-Aware Deep Reinforcement Learning’ has been accepted for IEEE ICC 2026! 🤩 | |
| Our paper ‘An End-to-End Smart Radio Log Anomaly Detection Architecture for 5G/6G Networks’ has been published in IEEE Communications Magazine! 🤩 | |
| Our paper ‘A Multi-Agent AI Approach to Intent-Based Network Configuration’ has been accepted for ICIN 2026! 🤩 | |
| 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. 🗣️ | |
| I gave an invited talk on “SemCom Enabled, Agentic AI-based 6G Architecture” for the IEEE Future Networks World Forum 2025. 🗣️ |
Selected work
