Stochastic Evaluation of Indoor Wireless Network Performance with Data-Driven Propagation Models. - Stefanos Bakirtzis; Ian J. Wassell; Marco Fiore 001; Jie Zhang 003 (GLOBECOM, 2022)

Deep-Learning-Based Multivariate Time-Series Classification for Indoor/Outdoor Detection. - Stefanos Bakirtzis; Kehai Qiu; Ian J. Wassell; Marco Fiore 001; Jie Zhang 003 (IEEE Internet Things J., 2022)

Pseudo Ray-Tracing: Deep Leaning Assisted Outdoor mm-Wave Path Loss Prediction. - Kehai Qiu; Stefanos Bakirtzis; Hui Song; Jie Zhang 003; Ian J. Wassell (IEEE Wirel. Commun. Lett., 2022)

IRDM: A Generative Diffusion Model for Indoor Radio Map Interpolation. - Kehai Qiu; Stefanos Bakirtzis; Ian J. Wassell; Hui Song; Kan Lin; Jie Zhang 003 (GLOBECOM, 2023)

Deep Learning-Based Path Loss Prediction for Outdoor Wireless Communication Systems. - Kehai Qiu; Stefanos Bakirtzis; Hui Song; Ian J. Wassell; Jie Zhang 003 (ICASSP, 2023)

Characterizing Mobile Service Demands at Indoor Cellular Networks. - Stefanos Bakirtzis; André Felipe Zanella; Stefania Rubrichi; Cezary Ziemlicki; Zbigniew Smoreda; Ian J. Wassell; Jie Zhang 003; Marco Fiore 001 (IMC, 2023)

DeepMEND: Reliable and Scalable Network Metadata Geolocation from Base Station Positions. - Orlando E. Martínez-Durive; Stefanos Bakirtzis; Cezary Ziemlicki; Jie Zhang 003; Ian James Wassell; Marco Fiore 001 (SECON, 2024)

Solving Maxwell's equations with Non-Trainable Graph Neural Network Message Passing. - Stefanos Bakirtzis; Marco Fiore 001; Jie Zhang 003; Ian J. Wassell (CoRR, 2024)

Indoor Radio Map Dataset. - Stefanos Bakirtzis; Çagkan Yapar; Kehai Qui; Ian J. Wassell; Jie Zhang 003 (IEEE DataPort, 2024)

A Joint Optimization Approach for Power-Efficient Heterogeneous OFDMA Radio Access Networks. - Gabriel O. Ferreira; André Felipe Zanella; Stefanos Bakirtzis; Chiara Ravazzi; Fabrizio Dabbene; Giuseppe Carlo Calafiore; Ian James Wassell; Jie Zhang 003; Marco Fiore 001 (IEEE J. Sel. Areas Commun., 2024)

AI-Assisted Indoor Wireless Network Planning With Data-Driven Propagation Models. - Stefanos Bakirtzis; Ian J. Wassell; Marco Fiore 001; Jie Zhang 003 (IEEE Netw., 2024)

Large Language Model-Based Wireless Network Design. - Kehai Qiu; Stefanos Bakirtzis; Ian J. Wassell; Hui Song; Jie Zhang 003; Kezhi Wang (IEEE Wirel. Commun. Lett., 2024)

The First Indoor Pathloss Radio Map Prediction Challenge. - Stefanos Bakirtzis; Çagkan Yapar; Kehai Qiu; Ian J. Wassell; Jie Zhang 003 (ICASSP, 2025)

iPLAN: Redefining Indoor Wireless Network Planning Through Large Language Models. - Jinbo Hou; Stefanos Bakirtzis; Kehai Qiu; Sichong Liao; Hui Song; Haonan Hu; Kezhi Wang; Jie Zhang 003 (CoRR, 2025)

Empowering Wireless Network Applications with Deep Learning-Based Radio Propagation Models. - Stefanos Bakirtzis; Çagkan Yapar; Marco Fiore 001; Jie Zhang 003; Ian J. Wassell (IEEE Wirel. Commun., 2025)