Rapid, low-power loop execution in a network of functional units. - Athanassios Tziouvaras; Georgios Dimitriou (Panhellenic Conference on Informatics, 2013)

Instruction-Based Timing Analysis in Pipelined Processors. - Athanassios Tziouvaras; Georgios Dimitriou; Michael F. Dossis; Georgios I. Stamoulis (SEEDA-CECNSM, 2019)

Intelligent Monitoring of Virtualized Services. - Thanasis Tziouvaras; Kostas Kolomvatsos (ESOCC Workshops, 2020)

Adaptive Operation-Based ALU and FPU Clocking. - Athanassios Tziouvaras; Georgios Dimitriou; Michael F. Dossis; Georgios I. Stamoulis (MOCAST, 2020)

Low power general purpose loop acceleration for NDP applications. - Athanasios Tziouvaras; Georgios Dimitriou; Fotis Foukalas; Georgios I. Stamoulis (PCI, 2020)

Edge AI for Industry 4.0: An Internet of Things Approach. - Athanasios Tziouvaras; Fotis Foukalas (PCI, 2020)

Cooperative Cognitive Network Slicing Virtualization for Smart IoT Applications. - Fotis Foukalas; Athanasios Tziouvaras; George T. Karetsos (PIMRC, 2020)

A Federated Machine Learning Protocol for Fog Networks. - Fotis Foukalas; Athanasios Tziouvaras (INFOCOM Workshops, 2021)

An Overview of Enabling Federated Learning over Wireless Networks. - Fotis Foukalas; Athanasios Tziouvaras; Theodoros A. Tsiftsis (MeditCom, 2021)

ICT in Healthcare: the role of IoT and the SECANT solution. - M. Caballero; Dimitris Kavallieros; Arnolnt Spyros; A. Tavernarakisv; Athanasios Tziouvaras; Stefano Bonacina; K. Chandrarmouli; M. Coroiu; L. Chen; T. Dounia; Ioannis Giannoulakis; N. Gligoric; et al. (CSR, 2022)

Near Data Processing Performance Improvement Prediction via Metric-Based Workload Classification. - Dimitrios Papalekas; Athanasios Tziouvaras; George Floros 002; Georgios Dimitriou; Michael F. Dossis; Georgios I. Stamoulis (MOCAST, 2022)

QoE-Aware Edge Computing Through Service Function Chaining. - Fotis Foukalas; Athanasios Tziouvaras (IEEE Internet Comput., 2022)

Federated Learning Protocols for IoT Edge Computing. - Fotis Foukalas; Athanasios Tziouvaras (IEEE Internet Things J., 2022)

Design Space Exploration of a Sparse MobileNetV2 Using High-Level Synthesis and Sparse Matrix Techniques on FPGAs. - Antonios Tragoudaras; Pavlos Stoikos; Konstantinos Fanaras; Athanasios Tziouvaras; George Floros 002; Georgios Dimitriou; Kostas Kolomvatsos; Georgios I. Stamoulis (Sensors, 2022)

Low-power Near-data Instruction Execution Leveraging Opcode-based Timing Analysis. - Athanasios Tziouvaras; Georgios Dimitriou; Georgios I. Stamoulis (ACM Trans. Archit. Code Optim., 2022)

Data and resource aware incremental ML training in support of pervasive applications. - Thanasis Moustakas; Athanasios Tziouvaras; Kostas Kolomvatsos (Computing, 2024)

MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations. - Dimitrios Papathanasiou; Athanasios Tziouvaras; Kostas Kolomvatsos (J. Intell. Inf. Syst., 2025)

A Representation Learning Approach to Feature Drift Detection in Wireless Networks. - Athanasios Tziouvaras; Blaz Bertalanic; George Floros 002; Kostas Kolomvatsos; Panagiotis Sarigiannidis; Carolina Fortuna (CoRR, 2025)

A comprehensive survey of manual and dynamic approaches for cybersecurity taxonomy generation. - Arnolnt Spyros; Anna Kougioumtzidou; Angelos Papoutsis; Eleni Darra; Dimitrios Kavallieros; Athanasios Tziouvaras; Theodora Tsikrika; Stefanos Vrochidis; Ioannis Kompatsiaris (Knowl. Inf. Syst., 2025)