Stefanos Bakirtzis

20 papers A 1B 3Misc 2Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
iPLAN: Redefining Indoor Wireless Network Planning Through Large Language Models.
IEEE Commun. Mag.
Jinbo Hou, Stefanos Bakirtzis, Kehai Qiu, Sichong Liao, Hui Song, Haonan Hu, Kezhi Wang, Jie Zhang
2025 — conf
Demonstrating Deep Learning-Based Spatial Diffusion.
INFOCOM WKSHPS
Orlando E. Martínez-Durive, Stefanos Bakirtzis, Cezary Ziemlicki, Marco Fiore
2025 J jnl
Empowering Wireless Network Applications with Deep Learning-Based Radio Propagation Models.
IEEE Wirel. Commun.
Stefanos Bakirtzis, Çagkan Yapar, Marco Fiore, Jie Zhang, Ian J. Wassell
2025 J jnl
Radio Propagation Modelling: To Differentiate or To Deep Learn, That Is The Question.
CoRR
Stefanos Bakirtzis, Paul Almasan, José Suárez-Varela, Gabriel O. Ferreira, Michail Kalntis, André Felipe Zanella, Ian J. Wassell, Andra Lutu
2025 Misc conf
The First Indoor Pathloss Radio Map Prediction Challenge.
ICASSP
Stefanos Bakirtzis, Çagkan Yapar, Kehai Qiu, Ian J. Wassell, Jie Zhang
2025 J jnl
The First Indoor Pathloss Radio Map Prediction Challenge.
CoRR
Stefanos Bakirtzis, Çagkan Yapar, Kehai Qiu, Ian J. Wassell, Jie Zhang
2025 — conf
The Sampling-Assisted Pathloss Radio Map Prediction Competition.
MLSP
Çagkan Yapar, Stefanos Bakirtzis, Andra Lutu, Ian J. Wassell, Jie Zhang, Giuseppe Caire
2025 J jnl
iPLAN: Redefining Indoor Wireless Network Planning Through Large Language Models.
CoRR
Jinbo Hou, Stefanos Bakirtzis, Kehai Qiu, Sichong Liao, Hui Song, Haonan Hu, Kezhi Wang, Jie Zhang
2024 J jnl
A Joint Optimization Approach for Power-Efficient Heterogeneous OFDMA Radio Access Networks.
IEEE J. Sel. Areas Commun.
Gabriel O. Ferreira, André Felipe Zanella, Stefanos Bakirtzis, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore, Ian James Wassell, Jie Zhang, Marco Fiore
2024 J jnl
AI-Assisted Indoor Wireless Network Planning With Data-Driven Propagation Models.
IEEE Netw.
Stefanos Bakirtzis, Ian J. Wassell, Marco Fiore, Jie Zhang
2024 B conf
DeepMEND: Reliable and Scalable Network Metadata Geolocation from Base Station Positions.
SECON
Orlando E. Martínez-Durive, Stefanos Bakirtzis, Cezary Ziemlicki, Jie Zhang, Ian James Wassell, Marco Fiore
2024 J jnl
Empowering Wireless Network Applications with Deep Learning-based Radio Propagation Models.
CoRR
Stefanos Bakirtzis, Çagkan Yapar, Marco Fiore, Jie Zhang, Ian J. Wassell
2024 J jnl
Large Language Model-Based Wireless Network Design.
IEEE Wirel. Commun. Lett.
Kehai Qiu, Stefanos Bakirtzis, Ian J. Wassell, Hui Song, Jie Zhang, Kezhi Wang
2024 J jnl
Solving Maxwell's equations with Non-Trainable Graph Neural Network Message Passing.
CoRR
Stefanos Bakirtzis, Marco Fiore, Jie Zhang, Ian J. Wassell
2023 A conf
Characterizing Mobile Service Demands at Indoor Cellular Networks.
IMC
Stefanos Bakirtzis, André Felipe Zanella, Stefania Rubrichi, Cezary Ziemlicki, Zbigniew Smoreda, Ian J. Wassell, Jie Zhang, Marco Fiore
2023 Misc conf
Deep Learning-Based Path Loss Prediction for Outdoor Wireless Communication Systems.
ICASSP
Kehai Qiu, Stefanos Bakirtzis, Hui Song, Ian J. Wassell, Jie Zhang
2023 B conf
IRDM: A Generative Diffusion Model for Indoor Radio Map Interpolation.
GLOBECOM
Kehai Qiu, Stefanos Bakirtzis, Ian J. Wassell, Hui Song, Kan Lin, Jie Zhang
2022 J jnl
Deep-Learning-Based Multivariate Time-Series Classification for Indoor/Outdoor Detection.
IEEE Internet Things J.
Stefanos Bakirtzis, Kehai Qiu, Ian J. Wassell, Marco Fiore, Jie Zhang
2022 J jnl
Pseudo Ray-Tracing: Deep Leaning Assisted Outdoor mm-Wave Path Loss Prediction.
IEEE Wirel. Commun. Lett.
Kehai Qiu, Stefanos Bakirtzis, Hui Song, Jie Zhang, Ian J. Wassell
2022 B conf
Stochastic Evaluation of Indoor Wireless Network Performance with Data-Driven Propagation Models.
GLOBECOM
Stefanos Bakirtzis, Ian J. Wassell, Marco Fiore, Jie Zhang