Panagiotis Trakadas

– Giannopoulos, S. Spantideas, P. Trakadas (2026). DECOFFEE: Decentralized Reinforcement Learning for Time-critical Workload Offloading and Energy Efficiency across the Computing Continuum, arXiv:2604.24507.

– Nizamis, A. S. Kalafatelis, P. Gkonis, C. Trochoutsos, D. Ioannidis, P. Trakadas, 2026. From ink to insight: A manufacturing data space empowering transfer learning for predictive failure in industrial offset printing, Elsevier, Journal of Engineering Research, 14(2), 1935-1947, ISSN 2307-1877, https://doi.org/10.1016/j.jer.2026.03.012.

– A.Giannopoulos, S. Spantideas, P. Trakadas, 2026. CollabORAN: A Collaborative rApp-xApp-dApp Control Architecture for Fairness-Adaptive Resource Sharing in O-RAN, arXiv:2603.20805.

– T. Spantideas, A. E. Giannopoulos, G. A. Levis and P. Trakadas, 2026. FedRA: A Fully Decentralized Federated Learning Framework for Robust Intelligence Sharing across O-RAN dApps, ΙΕΕΕ, Communications Magazine, 1-7, https://doi.org/10.1109/mcom.001.2500368.

– Rigas, T. Papaioannou, P. Trakadas, G. Alexandridis, 2026. A Dynamic Framework for Grid Adaptation in Kolmogorov-Arnold Networks, arXiv:2601.18672.

– K Gkonis, A. Giannopoulos, N. Nomikos, L. Sarakis, V. Nikolakakis, G. Patsourakis, and P. Trakadas, 2026. A Survey on the Computing Continuum and Meta-Operating Systems: Perspectives, Architectures, Outcomes, and Open Challenges, Sensors26, no. 3: 799.

– Giannopoulos, S. Spantideas, M. L. Bartsioka, P. Trakadas, 2026. Interoperable rApp/xApp Control over O-RAN for Mobility-aware Dynamic Spectrum Allocation, arXiv:2601.13769.

– A. Kourtis, A. Oikonomakis, A. Economopoulos, M. C. Batistatos, G. Kalemai, A. Vasalos, G. Xilouris, and P. Trakadas, 2026. Leveraging 5G RedCap and Spiking Neural Networks for Energy Efficiency in Edge Devices, MDPI, Telecom 7, (1), 4. https://doi.org/10.3390/telecom7010004.

– K. Gkonis, G. Patsourakis and P. Trakadas, 2026. A Survey on the Computing Continuum and Meta-OS Systems: Perspectives, Architectures, Outcomes, and Open Challenges, Sensors 2026, 26, 799, doi:10.3390/s26030799.

– S. Kalafatelis, N. Nomikos, V. Nikolakakis, N. Tsoulakos, P. Trakadas, 2026. CARGO: Carbon-Aware Gossip Orchestration in Smart Shipping, arXiv:2603.27857.

– S. Kalafatelis, G. Levis, A. Giannopoulos, N. Tsoulakos, & P. Trakadas, 2026. Explainable Predictive Maintenance of Marine Engines Using a Hybrid BiLSTM-Attention-Kolmogorov Arnold Network, MDPI, Journal of Marine Science and Engineering, 14(1), 32. https://doi.org/10.3390/jmse14010032.

– Masip-Bruin, E. Rodríguez, A. Jukan, P. Trakadas, 2025. Towards a Security Plane for 6G Ecosystems, arXiv:2512.20733.

– Nizamis, P. Gkonis, D. Ioannidis, A. Ntafalias, D. Tzovaras, P. Trakadas, 2025. Manufacturing data spaces applications in europe-A survey, Elsevier, Data in Brief, 112149.

– A. Kapetanidou, P. Trakadas, et al, 2025. Cognitive Computing Continuum: State-of-the-Art Review and ENACT Vision & Approach, Springer, J Grid Computing 23, 23, https://doi.org/10.1007/s10723-025-09810-9.

– Tariq, E. Rodriguez Luna, X. Masip Bruin, R. Diaz, J. Martrat, P. Trakadas, 2025. A survey on 5G private and B5G network threats and safeguarding AI-based security mechanisms through the layered analysis, Elsevier, Computer Networks, 271, 111594, https://doi.org/10.1016/j.comnet.2025.111594.

– E. Giannopoulos, S. T. Spantideas, G. Levis, A. S. Kalafatelis and P. Trakadas, 2025. COMIX: Generalized Conflict Management in O-RAN xApps—Architecture, Workflow, and a Power Control Case, IEEE, IEEE Access, 13, 116684-116700, doi: 10.1109/ACCESS.2025.3585774.

– Özduran, E. Soleimani-Nasab, N. Nomikos, I. S. Ansari and P. Trakadas, 2025. Active, Passive, and Absorptive RIS-Aided 6G Network Under Non-Orthogonal CCI, IEEE, IEEE Open Journal of Vehicular Technology, 6, 2048-2066, doi: 10.1109/OJVT.2025.3583545.

– A. Levis, S. T. Spantideas, A. E. Giannopoulos, P. Trakadas, et al, 2025. A Peer-to-Peer Energy Management and Exchange Framework in Energy Communities via Actor-Critic Learning. TechRxiv, 23 May 2025, https://doi.org/10.36227/techrxiv.174802380.00970908/v1.

– Xylouris, A. Vekraki, M. Christopoulou, M. A. Kourtis, E. K. Markakis and P. Trakadas, 2025. Advancing Predictive Security for Consumer Applications in Beyond 5G/6G Networks With Annotated Datasets, IEEE, IEEE Transactions on Consumer Electronics, 71(2), 5108-5118, May 2025, doi: 10.1109/TCE.2025.3567151.

– T. Spantideas, A. E. Giannopoulos and P. Trakadas, 2025. Autonomous Price-Aware Energy Management System in Smart Homes via Actor-Critic Learning With Predictive Capabilities, IEEE, IEEE Transactions on Automation Science and Engineering, 22, 15018-15033, doi: 10.1109/TASE.2025.3566390.

– Garcia, X. Masip-Bruin, A. Giannopoulos, P. Trakadas, S. A. Cajas Ordoñez, J. Samanta, A. L. Suárez-Cetrulo, R. Simón Carbajo, M. Michalke, A. Jukan, A. Jaworski, M. Kotliński, G. Giammatteo, and F. D’Andria, 2025. ICOS: An Intelligent MetaOS for the Continuum, In Proceedings of the 2nd International Workshop on MetaOS for the Cloud-Edge-IoT Continuum (MECC ’25), Association for Computing Machinery, New York, NY, USA, 53–59. https://doi.org/10.1145/3721889.3721929.

– K. Gkonis, A. Giannopoulos, N. Nomikos, P. Trakadas, L. Sarakis, & X. Masip-Bruin, 2025. A Survey on Architectural Approaches for 6G Networks: Implementation Challenges, Current Trends, and Future Directions. Telecom, 6(2), 27. https://doi.org/10.3390/telecom6020027.

– Prekas, P. Trakadas, & P. Karkazis, 2025. Path Enumeration Solution for Evaluating Reliability, Based on the Path Algebra Framework, 32(75), JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT, 33(1).

– Prekas, P. Trakadas, P. Karkazis, 2025. Correction: Path Enumeration Solution for Evaluating Reliability, Based on the Path Algebra Framework, J. Netw. Syst. Manag, 33(1), 1.

– Masip-Bruin, J. Garcia, A. Asensio, F. DAndria, A. Jukan, S. Daijavad, P. Trakadas, 2025. Plastic computing, the cloud continuum journey beyond infinity, arXiv preprint, arXiv:2501.12247.

– Nomikos, G. Xylouris, G. Patsourakis, V. Nikolakakis, A. Giannopoulos, C. Mandilaris, P. Gkonis, C. Skianis, and P. Trakadas, 2025. A Distributed Trustable Framework for AI-Aided Anomaly Detection, MDPI Electronics 14(3), 410, https://doi.org/10.3390/electronics14030410.

– Nizamis, M. Julian, C. I Valero, M. Foti, I. Drigkopoulou, M. Ángel Esbrí, R. Costa, A. Yortholt, D. Ioannidis, P. Gkonis, P. Trakadas, D. Tzovaras, C. E Palau, 2025. Data-as-a-Product to enable data-driven value networks in Industries 4.0 & 5.0, Procedia Computer Science, 257, 793-800, https://doi.org/10.1016/j.procs.2025.03.102.

– Giannopoulos, S. Spantideas, P. Trakadas, 2025. Spatiotemporal Graph Coloring for Frequency Assignment in Spectrum-constrained Ground-Air-Sea Networks, TechRxiv, 04 June 2025, doi: https://doi.org/10.36227/techrxiv.174904902.24050565/v1.

– Nizamis, M. Julian, C. I. Valero, M. Foti, I. Drigkopoulou, M. Ángel Esbrí, R. Costa, A. Yortholt, D. Ioannidis, P. Gkonis, P. Trakadas, D. Tzovaras, C. E. Palau, 2025. Data-as-a-Product to enable data-driven value networks in Industries 4.0 & 5.0: The Swiss Smart Factory experiment, Procedia Computer Science, 257, 793-800, https://doi.org/10.1016/j.procs.2025.03.102.

– Giannopoulos, A. Karditsa, M. Hatzaki, & P. Trakadas, 2025. Machine Learning for Wind Pattern Estimation at Data-Scarce Coastal Ports: A Comparative Study Using Real Measurements, MDPI, Journal of Marine Science and Engineering, 13(12), 2375. https://doi.org/10.3390/jmse13122375.

– S. Kalafatelis, A. Pitsiakou, N. Nomikos, N. Tsoulakos, T. Syriopoulos, and P. Trakadas, 2025. FLUID: Dynamic Model-Agnostic Federated Learning with Pruning and Knowledge Distillation for Maritime Predictive Maintenance, MDPI, Journal of Marine Science and Engineering 13 (8), 1569, https://doi.org/10.3390/jmse13081569.

– Giannopoulos, P. Gkonis, A. Kalafatelis, N. Nomikos, S. Spantideas, P. Trakadas, and T. Syriopoulos, 2025. From 6G to SeaX-G: Integrated 6G TN/NTN for AI-Assisted Maritime Communications—Architecture, Enablers, and Optimization Problems, MDPI Journal of Marine Science and Engineering 13(6): 1103. https://doi.org/10.3390/jmse13061103.

– N. Nomikos, T. Charalambous, P. Trakadas, R. Wichman, 2024. Bandit-Based Learning-Aided Full-Duplex/Half-Duplex Mode Selection in 6G Cooperative Relay Networks, IEEE, IEEE Open Journal of the Communications Society.

– P. Gkonis, N. Nomikos, P. Trakadas, L. Sarakis, G. Xylouris, X. Masip, J. Martrat, 2024. Leveraging Network Data Analytics Function and Machine Learning for Data Collection, Resource Optimization, Security and Privacy in 6G Networks, IEEE, IEEE access, Volume 12, 21320 – 21336.

– N. Nomikos, A. Giannopoulos, A. Kalafatelis, V. Özduran, P. Trakadas, G. Karagiannidis, 2024. Improving Connectivity in 6G Maritime Communication Networks with UAV Swarms, ΙΕΕΕ, ΙΕΕΕ access, Volume 12, 18739 – 18751.

– A. Angelopoulos, A. Giannopoulos, N. Nomikos, A. Kalafatelis, A. Hatziefremidis, P.Trakadas, 2024. Federated Learning-Aided Prognostics in the Shipping 4.0: Principles, Workflow, and Use Cases, IEEE, IEEE access, Volume 12, 6437 – 6454.

– P. Gkonis, A. Giannopoulos, P. Trakadas, X. Masip, F. D’Andria, 2023. A survey on IoT-edge-cloud continuum systems: Status, challenges, use cases, and open issues, MDPI, Future Internet, 15(12), 383.

– C. Tsinos, S. Spantideas, A. Giannopoulos, P.Trakadas, 2023. Over-the-Air Computation with Quantized CSI and Discrete Power Control Levels, Hindawi, Wireless Communications and Mobile Computing, 2023.

– A. Giannopoulos, P. Gkonis, P. Bithas, N. Nomikos, G. Ntroulias, P. Trakadas, 2023. Federated learning for maritime environments: use cases, experimental results, and open issues, Authorea, Authorea Preprints

– J. Plikas, P. Trakadas, D. Kenourgios, 2023. Assessing the Ethical Implications of Artificial Intelligence (AI) and Machine Learning (ML) on Job Displacement Through Automation: A Critical Analysis of Their Impact on Society, Springer Nature Singapore, International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications, 313-325.

– J. Plikas, P. Trakadas, D. Kenourgios, 2023. On the Relationship Between Artificial Intelligence (AI) and Economic Growth (GDP)—the Case of Europe, Springer Nature Singapore, International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications, 327-342.

– A. Sarlas, A. Kalafatelis, G. Alexandridis, M. Kourtis, P. Trakadas, 2023. Exploring federated learning for speech-based parkinson’s disease detection, Proceedings of the 18th International Conference on Availability, Reliability and Security, Article No.: 102, 1–6.

– S. Lavdas, P. Gkonis, E. Tsaknaki, L. Sarakis, P. Trakadas, K. Papadopoulos, 2023. A Deep Learning Framework for Adaptive Beamforming in Massive MIMO Millimeter Wave 5G Multicellular Networks, MDPI, Electronics, 12(17), 3555.

– S. Prekas, P. Karkazis, P. Trakadas, 2023. An Energy-Aware Path Enumeration Solution Based on the Path Algebra Framework, IEEE, IT Professional, 25(4), 29-35.

– A. Amidi, A. Giannopoulos, P. Trakadas, 2023. Federated Learning Techniques: From Ethics to Regulation, Available at SSRN 4588972.

– S. Spantideas, A. Giannopoulos, MA. Cambeiro, O. Trullols-Cruces, E. Atxutegi, P. Trakadas, 2023. Intelligent Mission Critical Services over Beyond 5G Networks: Control Loop and Proactive Overload Detection, IEEE, 2023 International Conference on Smart Applications, Communications and Networking (SmartNets), 1-6.

– K. Skianis, A. Giannopoulos, A. Kalafatelis, P. Trakadas, 2023. Digital Twin for Automated Industrial Optimization: Intelligent Machine Selection via Process Modelling, IEEE, 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), 84-90.

– K. Skianis, A. Giannopoulos, P. Gkonis, P. Trakadas, 2023. Data aging matters: Federated learning-based consumption prediction in smart homes via age-based model weighting, MDPI, Electronics, 12 (14), 3054.

– I.P. Chochliouros, M.A. Kourtis, G. Xilouris, W. Tavernier, E.A. Sanchez, M. Anastassova, C. Bolzmacher, N. Tcholtchev, A. Corsi, P. Trakadas, M. Millet, C. Xenakis, A. Imeri, F. Bellesini, P. D’Ostilio, A. Markakis, I. B. Engin, A. Litke, L. M. Quarato, D. Cugat, G. Gardikis, C. Zarakovitis, S. Bouilland, Z. Zaharis, C. Lessi, D. Arvanitozisis, A. S. Spiliopoulou, 2023. OASEES: An Innovative Scope for a DAO-Based Programmable Swarm Solution, for Decentralizing AI Applications Close to Data Generation Locations, Springer Nature Switzerland, IFIP International Conference on Artificial Intelligence Applications and Innovations, 91-105.

– A. Giannopoulos, N. Nomikos, G. Ntroulias, T. Syriopoulos, P. Trakadas, 2023. Maritime Federated Learning for Decentralized On-Ship Intelligence, Springer Nature Switzerland, IFIP International Conference on Artificial Intelligence Applications and Innovations, 195-206.

– N. Nomikos, A. Giannopoulos, P. Trakadas, G. K. Karagiannidi, 2023. Uplink NOMA for UAV-Aided Maritime Internet-of-Things, IEEE, 2023 19th International Conference on the Design of Reliable Communication Networks (DRCN), 1-6.

– A. Giannopoulos, S. Spantideas, N. Nomikos, A. Kalafatelis, P. Trakadas, 2023. Learning to Fulfill the User Demands in 5G-enabled Wireless Networks through Power Allocation: a Reinforcement Learning approach, IEEE, 2023 19th International Conference on the Design of Reliable Communication Networks (DRCN), 1-7.

– A. S. Kalafatelis, N. Nomikos, A. Angelopoulos, C. Trochoutsos, P. Trakadas, 2023. An Effective Methodology for Imbalanced Data Handling in Predictive Maintenance for Offset Printing, Springer Nature Singapore, International Conference on Mechatronics and Control Engineering, 89-98.

– A. S. Kalafatelis, C. Trochoutsos, A. E Giannopoulos, A. Angelopoulos, P. Trakadas, 2023. A Stacking Ensemble Learning Model for Waste Prediction in Offset Printing, Proceedings of the 2023 10th International Conference on Industrial Engineering and Applications, 267-272.

– Karkazis, P., Uzunidis, D., Trakadas, P., Leligou, H.C., 2022. Design Challenges on Machine-Learning Enabled Resource Optimization, IEEE, IT Professional, 24(5), 69-74.

– Giannopoulos, A., Spantideas, S., Kapsalis, N., Gkonis, P., Sarakis, L., Capsalis, C., Vecchio, M., Trakadas, P., 2022. Supporting intelligence in disaggregated open radio access networks: Architectural principles, AI/ML workflow, and use cases, IEEE Access, Vol. 10.

– Lavdas, S., Gkonis, P.K., Zinonos, Z., Trakadas, P., Sarakis, L., Papadopoulos, K., 2022. A machine learning adaptive beamforming framework for 5G millimeter wave massive MIMO multicellular networks, IEEE Access, Vol. 10.

– Karkazis, P.A., Railis, K., Prekas, S., Trakadas, P., Leligou, H.C., 2022. Intelligent network service optimization in the context of 5G/NFV, Signals, MDPI, 3(3).

– Trakadas, P., Masip-Bruin, X., Facca, F.M., Spantideas, S.T., Giannopoulos, A., Kapsalis, N., Martins, R., Bosani, E., Ramon, J., González Prats, E., Ntroulias, G., Lyridis, D., 2022. A reference architecture for cloud–edge meta-operating systems enabling cross-domain, data-intensive, ML-assisted applications: architectural overview and key concepts, Sensors, MDPI, 22(22), pp. 9003.

– Nomikos, Ν., Gkonis, P.K., Bithas, P.S., Trakadas, P., 2022. A survey on UAV-aided maritime communications: Deployment considerations, applications, and future challenges, IEEE Open Journal of the Communications Society, Nov. 2022.

– N. Nomikos, E.T. Michailidis, P. Trakadas, D. Vouyioukas, H. Karl, J. Martrat, Th. Zahariadis, K. Papadopoulos, S. Voliotis, “A UAV-based moving 5G RAN for massive connectivity of mobile users and IoT devices”, Vehicular Communications, vol. 2, issue 29, Elsevier, 2020.

– P. Trakadas, P. Karkazis, HC Leligou, Th. Zahariadis, F. Vicens, A. Zurita, P. Alemany, T. Soenen, C. Parada, J. Bonnet, E. Fotopoulou, A. Zafeiropoulos, E. Kapassa, M. Touloupou, D. Kyriazis, “Comparison of Management and Orchestration Solutions for the 5G Era”, Journal of Sensor and Actuator Networks, vol. 9, issue 1, 2020.

– A. Angelopoulos, ET Michailidis, N. Nomikos, P. Trakadas, A. Hatziefremidis, S. Voliotis, Th. Zahariadis, “Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects”, Sensors, vol. 20, issue 1, 2020.

– P. Trakadas, et al., “An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications”, Sensors, vol. 20, issue 19, 2020.

– N. Nomikos, ET Michailidis, P. Trakadas, D. Vouyioukas, Th. Zahariadis, I. Krikidis, “Flex-NOMA: exploiting buffer-aided relay selection for massive connectivity in the 5G uplink”, IEEE Access, vol. 7, pp. 88743-88755, 2019.

– F. Alvarez, D. Breitgand, D. Griffin, P. Andriani, S. Rizou, N. Zioulis, F. Moscatelli, J. Serrano, M. Keltsch, P. Trakadas, T Khoa Phan, A. Weit, U. Acar, O. Prieto, F. Iadanza, G. Carrozzo, H. Koumaras, D. Zarpalas, D. Jimenez, “An edge-to-cloud virtualized multimedia service platform for 5G networks”, IEEE Transactions on Broadcasting, vol. 65, issue 2, pp. 369-380, 2019.

– M. Peuster, S. Schneider, M. Zhao, G. Xilouris, P. Trakadas, F. Vicens, W. Tavernier, T. Soenen, R. Vilalta, G. Andreou, D. Kyriazis, H. Karl, “Introducing Automated Verification and Validation for Virtualized Network Functions and Services”, IEEE Communications Magazine, vol. 57, issue 5, pp. 96-102, 2019.

– ET Michailidis, N. Nomikos, P. Trakadas, AG Kanatas, “Three-Dimensional Modeling of mmWave Doubly Massive MIMO Aerial Fading Channels”, IEEE Transactions on Vehicular Technology, 2019.