profile

Bio

I am currently a Senior Researcher at the School of Electrical and Computer Engineering, National Technical University of Athens, advised by Prof. Konstantinos Tserpes. I received a BSc in Computer Science in 2013 and an MSc in Web Engineering in 2015, both from Harokopio University of Athens. In 2022 I completed my PhD in Distributed Systems at the same department.

I am a member of the Efficient Computing Lab, specializing in efficient computing and data analytics (GitHub). My research interests span distributed computing, edge and cloud computing, machine and deep learning, AI robustness, efficient computing, big data management and analysis, and spatiotemporal / trajectory analysis.

I have participated in numerous EU-funded and national research projects.

research projects

Ongoing Projects

f-inferenceHE

Efficient Foundation Model Inference Across the Computing Continuum.

Project CoordinatorOct 2026 – Present
CoEvolutionHE

A comprehensive trustworthy framework for connected machine learning and secure interconnected AI solutions.

Project CoordinatorNov 2024 – Present
TURINGHE

Trustworthy unified robust intelligent generative systems.

Researcher — Adversarial Robustness of Foundation ModelsSep 2025 – Present
MUSITHORIZON-MSCA-2023

MultiSensor Inferred Trajectories.

Experienced Researcher SecondeeNov 2024 – Present
Past projects 9
CHARITYH2020

Intelligent, autonomous orchestration of cloud, edge and network resources, creating a symbiotic relationship between low- and high-latency infrastructures for emerging applications.

Jan 2021 – Jul 2024
SmartShipH2020-MSCA-RISE-2018

A data analytics, decision support and circular-economy multi-layer optimization platform for holistic energy efficiency, fuel consumption and emissions management of vessels.

May 2019 – Mar 2024
FNS-CloudH2020

Food Nutrition Security Cloud — federating datasets, tools and services to support European nutrition research.

Apr 2019 – Jun 2023
GLASSEASNational — ESPA 2019

A global, distributed surveillance system for early detection and analysis of anomalous vessel trajectories.

Apr 2019 – Jun 2020
MASTERH2020-MSCA-RISE-2017

Multiple ASpects TrajEctoRy management and analysis — an international, inter-sectoral network defining methods to build, manage and analyse multiple-aspect semantic trajectories.

Mar 2018 – Dec 2023
Productive 4.0H2020

A holistic innovation project building the capability to efficiently design and integrate hardware and software for IoT devices across European industry.

May 2017 – Apr 2020
OptimalHUA internal

Middleware for optimal replica placement in distributed key-value stores, and fault-tolerance techniques for large-scale data management infrastructures.

Dec 2016 – Dec 2017
Asylum Service ApplicationNational

Mobile application for international applicants' protection.

Mar 2016 – May 2016
FortissimoFP7

Cloud-based simulation of the binding capacities of target drug compounds.

Sep 2014 – May 2016
selected peer-reviewed publications

// output --sort=year --descPublications

conference Adversarially Guided Diffusion for LiDAR Range Image Synthesis
Bouras, S., Makris, A., Gkillas, A., Lalos, A. S., & Tserpes, K. (2026).Joint European Conference on Machine Learning and Knowledge Discovery in Databases.
conference Robust federated learning under adversarial attacks via loss-based client clustering
Kritharakis, E., Jakovetic, D., Makris, A., & Tserpes, K. (2025).Joint European Conference on Machine Learning and Knowledge Discovery in Databases.
journal GraphOpticon: A global proactive horizontal autoscaler for improved service performance & resource consumption
Theodoropoulos, T., Patel, Y. S., Zdun, U., Townend, P., Korontanis, I., Makris, A., & Tserpes, K. (2026). Future Generation Computer Systems.
journal Fedgreed: A byzantine-robust loss-based aggregation method for federated learning
Kritharakis, E., Makris, A., Jakovetic, D., & Tserpes, K. (2025). Fedgreed: A byzantine-robust loss-based aggregation method for federated learning. In 2025 3rd International Conference on Federated Learning Technologies and Applications (FLTA). IEEE.
journal Cross-Cluster Networking to Support Extended Reality Services
Theodoropoulos, T., Rosa, L., Boudi, A., Benmerar, T. Z., Makris, A., Taleb, T., et al. (2024). IEEE Network.
journal Pro-active component image placement in edge computing environments
Makris, A., Psomakelis, E., Carlini, E., Mordacchini, M., Theodoropoulos, T., Dazzi, P., & Tserpes, K. (2024). Future Generation Computer Systems.
conference GNOSIS: Proactive image placement using graph neural networks & deep reinforcement learning
Theodoropoulos, T., Makris, A., Psomakelis, E., Carlini, E., Mordacchini, M., Dazzi, P., & Tserpes, K. (2023). IEEE CLOUD.
journal A comparison of trajectory compression algorithms over AIS data
Makris, A., Kontopoulos, I., Alimisis, P., & Tserpes, K. (2021). IEEE Access.
journal MongoDB vs. PostgreSQL: A comparative study on performance aspects
Makris, A., Tserpes, K., Spiliopoulos, G., Zissis, D., & Anagnostopoulos, D. (2021). GeoInformatica.
journal Parallelization of large-scale drug–protein binding experiments
Michail, D., Makris, A., Varlamis, I., & Sawyer, M. (2019). Future Generation Computer Systems.
conference A novel object placement protocol for minimizing the average response time of get operations in distributed key-value stores
Makris, A., Tserpes, K., & Anagnostopoulos, D. (2017). IEEE Big Data.
journal A classification of NoSQL data stores based on key design characteristics
Makris, A., Tserpes, K., Andronikou, V., & Anagnostopoulos, D. (2016). Procedia Computer Science.