Conference Papers

  • D. G. Akinola, G. Famitafreshi, S. Roy, K. Ramantas, and C. Verikoukis, “Proactive Failure Prediction for Resilient Services in Multi-Access Edge Continuum” in IEEE GLOBECOM 2026.
  • D. Roy, A. AlZailaa, K. Ramantas and C. Verikoukis, “KG-Orchestrator: “KG-Orchestrator: Graph Neural Network-Driven Resource Orchestration for 6G Distributed Networks” in IEEE GLOBECOM 2026.
  • P. Marantis, K. Ramantas, C. Verikoukis, “Knowledge-Distilled Evidential Deep Learning for Trustworthy and Efficient Uncertainty-Aware Intrusion Detection in 6G Networks”, in IEEE GLOBECOM 2026.
  • M. Rafid, G. Famitafreshi, V. Avgerinos, K. Ramantas, and C. Verikoukis, “Coordinated Offloading: Cooperative Multi-Agent Reinforcement Learning for the Edge–Cloud Continuum” in IEEE GLOBECOM 2026.
  • S. Surpur, P. Marantis, K. Ramantas, C. Verikoukis, “Capability-Aware Scalable Multi-Snake Distributed Learning for Heterogeneous 6G Edge Networks” in IEEE GLOBECOM 2026.
  • K. Stratakos, G. Iosifidis, K. Ramantas and C. Verikoukis, “On the Role of Feasibility Sparsity in Federated Edge Service Placement” in IEEE GLOBECOM 2026.
  • K.Kapogiannis, J.Lakoumentas, A.AlZailaa, K.Ramantas, and C.Verikoukis, “A Framework for Proactive and Ensemble SLAs’ Compliance under AI Uncertainty in 6G Networks” in IEEE GLOBECOM 2026.
  • N.Ghafouri, J.Vardakas, K. Ramantas, and C. Verikoukis, “Towards Optimizing Reinforcement Learning Workload Placement at the Cloud-Edge Continuum in 6G Networks: A Scaled RL Framework” in IEEE ICC 2026.
  • M. Dibaj,  J.Vardakas, G. Famitafreshi, and C. Verikoukis “Learning-Based Computation-Aware Access-Point Clustering and Joint Radio–Compute Allocation in Dynamic Cell-Free MEC Networks” in IEEE ICC 2026.
  • Sh. Wang, J.Vardakas, K. Ramantas, and C. Verikoukis, “Energy-Efficient Resource Management via Hierarchical Reinforcement Learning in O-RAN” in IEEE ICC 2026.
  • S.Roy, J. Ojeda, and C. Verikoukis, “SLA-Driven Adaptive FL policy with Real-Time Visualization for Zero-Touch 6G Network Slicing” in IEEE ICC 2026.
  • M. Eskandarinia, J. Vardakas, G. Famitafreshi, and C. Verikoukis “DQRL-Based Dynamic Resource Allocation for Energy-Spectral Efficient Next-Generation Clustered Radio Access Networks” in IEEE ICC 2026.
  • N. Raptis, J.P Fonseca, G. Adhane, K. Ramantas and C. Verikoukis “Reliable LLM-enabled Intent-driven Management: A Validation pipeline for Network Automation” in IEEE ICC 2026.
  • Z. Panou, D. Selis, K. Ramantas, L. Alonso, and C. Verikoukis “SCALER: Self-Consistent Assessment for SLA Explanation and Resolution in 6G Networks” in IEEE ICC 2026.
  • M. Chiarani, S.Roy, K.Ramantas amd Ch.verikoukis “LLM-Guided Reinforcement Learning for Adaptive Inter-Slice Resource Prioritization in 6G O-RAN” in IEEE EUCNC 2026.
  • S.Krishnama, J.Vardakas, K.Ramantas and Ch.Verikoukis “Generative AI-Augmented Reinforcement Learning for Enhanced Edge Resource Optimization”, IEEE Globecom 2025.
  • G.Famitafrashi, J.Vardakas, K.Ramantas and Ch.Verikoukis “An Intelligent Zero-Touch Management and Orchestration in 6G: A Green Hierarchical Reinforcement Learning Approach“, IEEE Globecom 2025.
  • P.Zervou, E. Keramidi, K.Ramantas  and Ch,Verikoukis, “A Spatio-Temporal Graph Neural Network-Based Framework for SLA Compliance in 6G Networks“, IEEE Globecom 2025.
  • D.Selis, K.Ramantas, L.Alonso, J.Vardakas and Ch.Verikoukis “KARMA: Knowledge-Aware Resource Management and Autoscaling for Edge Workloads“, IEEE Globecom 2025.
  • G. Adhane,  J.P.Fonseca, K.Togias, S.Roy, G.Famitafreshi, K.Ramantas and  Ch.Verikoukis “LLM-based Conversational Assistant for Intent-driven Management” in IEEE NFV-SDN 2025.
  • S. Roy, E. Boriskova, C.Guimaraes, J.Ojeda, G.Famitafreshi, J.Vardakas1, and Ch.Verikoukis, ” Zero-Touch Federated Intelligence with Real-Time Visualization for SLA-aware Resource Provisioning over NTN towards Railway Automation” in IEEE NFV-SDN 2025.
  • M.Efthymiopoulou, A.Siokis, N.Efthymiopoulos, K.Ramantas and Ch.Verikoukis, “Efficient Service Function Chain placement in a Multi-Domain 5G Architecture” to IEEE SEEDA-CECNSM 2025
  • I.Keramidi, J. Vardakas, I. Moscolios, Ch.Verikoukis, “Quantitative Comparison of Traffic Management Schemes in a Converged Optical-Wireless 6G Network”, IEEE ICTON 2025.
  • M.Chiarani, S.Roy, Fabrizio Granelli and  Ch.Verikoukis, “XAI-Driven Client Selection for Federated Learning in Scalable 6G Network Slicing” in IEEE ICC 2025.
  • E.L.Keramidi, J.Lakoumentas, P.Zervou,  K.Ramantas, J.S. Vardakas, Ch.Verikoukis, “On the Need for Trustworthy Deep Learning Models for Efficient Resource Management in 6G Networks”, in IEEE ICC 2025
  • N.Ghafouri,  J.Vardakas, K.Ramantas and Ch.Verikoukis “Energy-Efficient Edge-Domain Automation and Service Provision in 6G Networks by deploying offline discovered assignment skills”, in IEEE ICC 2025.
  • A.Makrache, A.Ksentini and Ch.Verikoukis “DRL-enabled SLO-aware Task Scheduling for Large Language Models in 6G Networks”, in IEEE ICC 2025.263.  S.Mhatre, F.Adelantado, K.Ramantas and Ch.Verikoukis “Enhancing AI Transparency: XRL-Based Resource Management and RAN Slicing for 6G ORAN Architecture”, in IEEE ICC 2025.
  • D.Selis, K.Ramantas, L.Alonso, J.Vardakas and Ch.Verikoukis “ADDAPT6G: Advanced Double Dueling Architecture for Proactive Tuning in 6G Networks”, in IEEE ICC 2025.
  • V.Avgerinos, A.Ksentini, K.Ramantas, L.Alonso and Ch.Verikoukis “Workload Prediction for Volatile Nodes in Multi-Access Edge Networks”, in IEEE ICC 2025.
  • A.Mekrache, A.Ksentini and Ch.Verikoukis, “OSS-GPT: An LLM-Powered Intent-Driven Operations Support System for 6G Networks”, in IEEE NetSoft 2025.
  • S.Chari, J.Vardakas, K.Ramantas, A.Ksentini and Ch.Verikoukis, “Reinforcement Learning Driven Sustainable Resource and Power Management for the MEC”, in IEEE Globecom 2024.
  • P.Marantis, K.Ramantas and Ch.Verikoukis, “Anomaly Detection With Quantified Explanations for Multivariate Time Series Networking Data”, in IEEE Globecom 2024.
  • E.Dritsas, K.Ramantas and Ch.Verikoukis, “A Mobility-aware ReinforcementLearning Proactive Solution for State Data Migration in Edge Computing”, in IEEE CAMAD 2024
  • J.P.Fonseca, G.Adhane, K.Togias, J.Ojeda, S.Roy, G.Famitafreshi, K.Ramantas, J.Vardakas and Ch.Verikoukis, “Realizing Intent-driven Network Management with TM Forum Standards” in IEEE CAMAD 2024
  • M.Mosahebfard, A.Betzler, M.Montagud, D.Camps, A.Fernández-Fernández and Ch. Verikoukis “SUNRISE-6G: Demonstrating 6G Federation Concepts over Distributed Research Infrastructures” in IEEE CAMAD 2024
  • J.P.Fonseca, Ch.Verikoukis et al. “Intent-Driven Deployment and Live Migration Using LLM”, in IEEE CAMAD 2024.
  • A.Kostopoulos, I.Chochliouros, Ch.Verikoukis, “A Business Analysis Framework for 6G Architectures”, IEEE CAMAD2024.
  • J.Ojeada, Ch.Verikoukis et. all “Real-time Machine Learning-based IoT Data Analysis in the Edge Cloud Continuum using AC” in IEEE CAMAD 2024
  • D. Amaxiliaris, D.Klonidis, A.Ksentini, V.Moulos, S.Sengupta, N.Tsironis and Ch.Verikoukis, “Data Management over Cloud Edge Continuum in the context of AC3″ in IEEE CAMAD 2024.
  • S.Chari, J.Vardakas, K.Ramantas,  and Ch.Verikoukis, “MEC Resource Orchestration for Heterogeneous Networks and Services Using Reinforcement Learning” IEEE CAMAD 2024
  • P. Marantis, K. Ramantas, C. Verikoukis, “RAN Explainable Anomaly Prediction for 6G Networks”, IEEE CAMAD 2024.
  • G.Famitafreshi, M.Trigka, D.Selis, J.Vardakas, Ch.Verikoukis, “An Innovative Multi-scale Strategy-based Decision Engine for Zero-touch Management and Orchestration in 6G”, IEEE CAMAD 2024.
  • I. Keramidi, P. Zervou, J. Lakoumentas, K. Ramantas, C. Verikoukis, “Towards the Uncertainty Quantification of AI-Models in 6G Networks”, IEEE CΑΜΑD 202.4
  • I.Keramidi, J.Vardakas, I.Moscholios, M.Logothetis, Ch. Verikoukis, “Computational Load Offloading Mechanism in a Converged SDN Control Plane in a 6G Network”, in CSNDSP 2024.
  • N.Ghafouri, J.Vardakas, K.Ramantas and Ch.Verikoukis “RL-Based High-Level Radio Unit Clustering and Distributed Unit Assignment in User-Centric Cell-free N. for ORAN-Based 6G” in IEEE ICC 2024.
  • S.Mhatre, F.Adelantado, K.Ramantas and Ch.Verikoukis “AIaaS for ORAN-based 6G Networks: Multi-time scale slice resource management with DRL” in IEEE ICC 2024.
  • R.Song, J.Wu, Q.Pan, M.Imran, N.Naser, R.Jones and Ch.Verikoukis, “Zero-Trust Empowered Decentralized Security Defense against Poisoning Attacks in SL-IoT: Joint Distance-Accuracy Detection Approach”, in IEEE Globecom 2023.
  • L.Garrido, A.Dalgitsis, G. Famitafreshi, A.Siokis, K.Ramantas and Ch.Verikoukis “An Experimental Platform of a Beyond-5G Network with Machine Learning Integration”, in IEEE Globecom 2023.
  • A.Dalgkitsis, L.Garrido, K.Ramantas, J.Vardakas, G.Kormentzas and Ch.Verikoukis, “SCHEMA III: Dynamic & scalable VNE framework based on Multi-Agent RL for 5G/6G networks”, in IEEE Globecom 2023.
  • Ch.Christophorou, I.Ioannou, V.Vassiliou, L.Christofi, J.Vardakas, E.E.Seder, C.Fabiana Chiasserini, M.Iordache, Ch.B.Issaid, I.Markopoulos, G.Franzese, T. Jarvet and Ch. Verikoukis, “ADROIT6G Distributed Artificial Intelligence-driven open and programmable architecture for 6G networks” in IEEE Globecom 2023 WSs.
  • K.Ramantas, A.N.Bikos, W.Nitzold, S.Pollin, A.Ksentini, S.Mayrargue, V.Theodorou, L.Christofi, G.Gardikis, Md A.Rahman, A.Chawla, F.Ibañez, I.Chochliouros, D.Nicholson, M.Montagudand, A.Shojaeifard, A.Pagkotzidis and Ch.ristos Verikoukis “6G-BRICKS: Building Reusable testbed Infrastructures for Cloud-to-device breaKthrough technologieS”, in IEEE Globecom 2023 WSs.
  • C.Centofanti, C.Rinaldi, A.Marotta, Ch.Verikoukis, N.Passas, D.Xenakis, S.Tennina and D.Cassioli “OPTIMIST: OPTIMised video content delivery chains over joint multI-accesS edge computing and 5G radio network infrasTructures”, DSP 2023
  • L. Garrido, K.Ramantas, A.Dalgitsis, A.Ksentini and Ch.Verikoukis “Admission Control With Resource Efficiency Using Reinforcement Learning in Beyond-5G Networks” in IEEE PIMRC 2023
  • A.Kostopoulos, I.Chochliouros, J.Vardakas, Md A.Rahman, A.P. Guevara, R.Beerten, P.Chanclou, R.Gonzalez, Ch.Klitis, P.Samarati, P.Soumplis, E.Varvarigos, D.Kritharidis, K.Chartsias, Ch.Verikoukis “Use Cases Employing a Machine Learning Network Architecture”, in Proc. AIAI / 5G-PINE 2023, Leon, Spain, 14-17 June 2023.
  • I.Chochliouros, J.Vardakas, K.Ramantas, S.Pollin, S.Mayrargue, A.Ksentini, W.Nitzold, Md A.Rahman,  J.O’Meara, A.Chawla, D.Kritharidis, V.Theodorou, S.Siddiqui, F.Ibañez, G.Gardikis, D.Diagourtas, L.Christofi, A.Mourad, D.Nicholson, A.Spiliopoulou, Ch.Verikoukis, “6G-BRICKS: Developing a Modern Experimentation Facility for Validation, Testing and Showcasing of 6G Breakthrough Technologies and Devices”, in Proc. AIAI / 5G-PINE 2023, Leon, Spain, 14-17 June 2023.
  • M.Mekki, B.Brik, A.Ksentini and Ch. Verikoukis “XAI-Enabled Fine Granular Vertical Resources Autoscaler“, in IEEE NetSoft 2023.
  • I. Keramidi, J.Vardakas, K. Ramantas, I.Moscholios and Ch. Verikoukis, “Computational load management strategies in cell-free-based, converged-optical-wireless 6G networks”, in IEEE ICC 2023.
  • S. Roy, H.Chergui, F.Rezazadeh, and Ch. Verikoukis, “Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing”, in ICC2023.