Collision avoidance in 5G using MEC and NFV: The vulnerable road user safety use case. - Sokratis Barmpounakis; George Tsiatsios; Michael Papadakis; Evangelos Mitsianis; Nikolaos Koursioumpas; Nancy Alonistioti (Comput. Networks, 2020)

LSTM-based QoS prediction for 5G-enabled Connected and Automated Mobility applications. - Sokratis Barmpounakis; Lina Magoula; Nikolaos Koursioumpas; Ramin Khalili; José Mauricio Perdomo; Ramya Panthangi Manjunath (5GWF, 2021)

5 Growth: Secure and Reliable Network Slicing for Verticals. - Vitor A. Cunha; Nikolaos Maroulis; Chrysa Papagianni; Javier Sacido; Manuel Jiménez; Fabio Ubaldi; Molka Gharbaoui; Chia-Yu Chang; Nikolaos Koursioumpas; Konstantin Tomakh; Daniel Corujo; João Paulo Barraca; et al. (EuCNC/6G Summit, 2021)

Network Traffic Anomaly Prediction for Beyond 5G Networks. - Nikolaos Koursioumpas; Lina Magoula; Sokratis Barmpounakis; Ioannis Stavrakakis (PIMRC, 2022)

A Deep Learning Approach for Distributed QoS Prediction in Beyond 5G Networks. - Lina Magoula; Nikolaos Koursioumpas; Sokratis Barmpounakis; Panagiotis Kontopoulos; Miguel Angel Gutierrez-Estevez; Ramin Khalili; Apostolos Kousaridas (PIMRC, 2022)

AI-driven, QoS prediction for V2X communications in beyond 5G systems. - Sokratis Barmpounakis; Nikolaos Maroulis; Nikolaos Koursioumpas; Apostolos Kousaridas; Angeliki Kalamari; Panagiotis Kontopoulos; Nancy Alonistioti (Comput. Networks, 2022)

AI-driven, Context-Aware Profiling for 5G and Beyond Networks. - Nikolaos Koursioumpas; Sokratis Barmpounakis; Ioannis Stavrakakis; Nancy Alonistioti (IEEE Trans. Netw. Serv. Manag., 2022)

A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks. - Lina Magoula; Nikolaos Koursioumpas; Alexandros-Ioannis Thanopoulos; Theodora Panagea; Nikolaos Petropouleas; Miguel Angel Gutierrez-Estevez; Ramin Khalili (PIMRC, 2023)

SIM+: A comprehensive implementation-agnostic information model assisting AI-driven optimization for beyond 5G networks. - Lina Magoula; Nikolaos Koursioumpas; Theodora Panagea; Nancy Alonistioti; Chaima Ghribi; Joshua Shakya (Comput. Networks, 2024)

A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks. - Nikolaos Koursioumpas; Lina Magoula; Nikolaos Petropouleas; Alexandros-Ioannis Thanopoulos; Theodora Panagea; Nancy Alonistioti; Miguel Angel Gutierrez-Estevez; Ramin Khalili (IEEE Trans. Green Commun. Netw., 2024)

DISTINQT: A Distributed Privacy Aware Learning Framework for QoS Prediction for Future Mobile and Wireless Networks. - Nikolaos Koursioumpas; Lina Magoula; Ioannis Stavrakakis; Nancy Alonistioti; Miguel Angel Gutierrez-Estevez; Ramin Khalili (IEEE Trans. Veh. Technol., 2025)