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Loutas T., Oikonomou A. and Rekatsinas C., Bio-inspired discontinuous composite materials with a machine learning optimized architecture, In Composite Structures, Elsevier BV, volume 351, (Pages: 118597), 2025. [pdf] [doi]

Alexandropoulos I., Koumaras H., Rentoula V., Papanikolaou-Ntais G., Georgoulas S. and Makropoulos G., Adversarial Robustness in Cognitive Systems: A Trustworthiness Assessment Perspective for 6G Networks, In Electronics, MDPI AG, volume 14, (Pages: 2285), 2025. [pdf] [doi]

Papadopoulos D. I., Giannakopoulos G., Karkaletsis V. and Rekatsinas C., A data-lean machine learning approach for damage extent estimation and classification in composite structures under multiple failure modes, In Machine Learning: Science and Technology, IOP Publishing, volume 6, (Pages: 035042), 2025. [pdf] [doi]

V. Gkatsis, P. Maratos, C. Rekatsinas, G. Giannakopoulos and P. Krokidas, Density-aware active learning for materials discovery: a case study on functionalized nanoporous materials, In Physical Chemistry Chemical Physics, Royal Society of Chemistry (RSC), 2025. [url] [doi]

Drampalou S., Uzunidis D., Vetsos A., Koumaras H. and Karkazis P., An Open-Source Framework and Dataset for Multi-Layer Monitoring and Proactive Scaling of 6G Video Streaming, In 2025 IEEE Conference on Network Function Virtualization and Software-Defined Networking (NFV-SDN), IEEE, (Pages: 1–6), 2025. [pdf] [doi]

Koumaras H., Georgoulas S., Batsis G., Anagnostopoulos E., Koumaras V. and Makropoulos G., Prototyping an AI-Driven Cognitive Coordinator for Mapping User Intent to Trustworthiness in 6G Networks, In 2025 IEEE Conference on Network Function Virtualization and Software-Defined Networking (NFV-SDN), IEEE, (Pages: 1–6), 2025. [pdf] [doi]

Makropoulos G., Koumaras H., Pitsilis V., Plastras S., Guimarães C., Boriskova E., Zeiger F., Sauer M., Koumaras V. and Papachronis P., Multi-RAT Dual Connectivity Using MPTCP: Bridging Emulation and Real-System Deployments, In 2025 IEEE Conference on Network Function Virtualization and Software-Defined Networking (NFV-SDN), IEEE, (Pages: 1–6), 2025. [pdf] [doi]

Pitsilis V., Pavlidis P., Plastras S., Makropoulos G., Sakellaropoulos A., Koumaras H. and Georgoulas S., B5G Core Network Openness: A Proof of Concept Implementation of Location Reporting via Network Exposure Function, In 2025 IEEE Conference on Network Function Virtualization and Software-Defined Networking (NFV-SDN), IEEE, (Pages: 1–6), 2025. [pdf] [doi]

Gramaglia M., Bulakci Ö., Li X., Gavras A., Ericson M., Kerboeuf S., Larrabeiti D., Ghoraishi, M., Mesodiakaki A., Koumaras H., Robitzsch S., Asensio Garriga R., Skarmeta Gómez A. and Tsolkas D., Towards 6G Architecture: Key Concepts, Challenges, and Building Blocks, 6GSNS, 2025. [pdf] [doi]

Rekatsinas C., Krokidas P., Vavourakis V., Essmann C. and Giannakopoulos G., A Physics Constrained Machine Learning Pipeline for Young’s Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics, In Advanced Intelligent Discovery, Wiley, 2025. [pdf] [doi]

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