Bio
Foivos Pournaropoulos is a third-year Ph.D. student at the ECE Department of the University of Thessaly and a member of the CSL group led by professors Christos D. Antonopoulos, Spyros Lalis, and Nikolaos Bellas.
He received the diploma in Electrical and Computer Engineering from the University of Thessaly in 2022. His research interests include adaptive deployment, heterogeneous systems, cloud computing, edge computing, mobile computing, machine learning, high-performance computing, system-level programming, and virtualization.
Teaching assistant, ECE-UTH
o Operating Systems: Spring 2023, Spring 2025 (in progress)
o Concurrent Programming: Fall 2023, Fall 2024
o High-Performance Computing Systems: Fall 2022, Fall 2024
o Programming I (C Programming): Fall 2022
Education
PhD in Computer Science (2022 - ), UTH
o Advisors: Prof. Christos D. Antonopoulos, Prof. Spyros Lalis, Prof. Nikolaos Bellas
o Title: “Adaptive, ML-based system management on the edge-cloud continuum”.
Combined B.Sc. / M.Sc. degree in Electrical and Computer Engineering (2017-2022), ECE-UTH
o GPA: 9.09/10
Research
Researcher in Research & Development funded Projects
o MLSysOps: Machine Learning for Autonomic System Operation in the Heterogeneous Cloud-Edge Continuum, 2023-2026 (in progress)
o VEPIT: Vessel Energy Profiling based on IoT, 2022-2024
o Erasmus+ Intern (March 2024 - May 2024), University College Dublin, Decentralized AI Systems Lab
Papers in scientific journals
1. F. Pournaropoulos, A. Patras, C. D. Antonopoulos, N. Bellas, S. Lalis: “Fluidity: Providing Flexible Deployment and Adaptation Policy Experimentation for Serverless and Distributed Applications Spanning Cloud-Edge-Mobile Environments”. Future Generation Computer Systems (FGCS), special issue: Serverless Computing in the Cloud-to-Edge Continuum, 2024. Paper: [DOI].
Papers in International Conference Proceedings
1. G. Polychronis, M. Koutsoubelias, F. Pournaropoulos, S. Lalis, L. Georgiadis, T. Pazios, S. Tsatsaronis, I. Vrakidis: “Adaptive Deployment of Application-level Sensing and Data Processing Pipelines in a Wireless Network of Embedded Devices”. International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous, 2024.
2. G. Polychronis, M. Koutsoubelias, F. Pournaropoulos, S. Lalis, L. Georgiadis, T. Pazios, S. Tsatsaronis, I. Vrakidis: “Flexible and Efficient Deployment of Data Processing Pipelines on Wireless IoT Systems”. IEEE Sensors Applications Symposium (SAS), 2024. Paper: [PDF].
3. F. Pournaropoulos, C. D. Antonopoulos, S. Lalis: “Supporting the Adaptive Deployment of Modular Applications in Cloud-Edge-Mobile Systems”. International Conference on Embedded Wireless Systems and Networks (EWSN), 2023. Paper: [PDF].
Papers in International Workshop Proceedings
1. A. Patras, F. Pournaropoulos, N. Bellas, C. D. Antonopoulos, S. Lalis, M. Goutha, A. Nanos: “A Minimal Testbed for Experimenting with Flexible Resource and Application Management in Heterogeneous Edge-Cloud Systems”. International Workshop on Machine Learning for Autonomic System Operation in the Device-Edge-Cloud Continuum (MLSysOps 2023), in conjunction with the International Conference on Embedded Wireless Systems and Networks (EWSN), 2023. Paper: [PDF].
Papers in International Workshops without Proceedings
1. F. Pournaropoulos, A. Patras, M. Loaiza, M. Koutsoubelias, C. Mitrodimas, D. Akridas, C. D. Antonopoulos, N. Bellas, R. Gravina, S. Lalis: “Adaptive Application and System Management Across the Mobile-Edge-Cloud Continuum: A Smart Agriculture Use Case”. Machine Learning for Edge-Cloud Systems (ML4ECS) Workshop, in conjunction with HiPEAC, 2025. Paper: [PDF].