Stefanos Bakirtzis Dr

About

Dr. Stefanos Bakirtzis received the Diploma degree in electrical and computer engineering from the National Technical University of Athens, Athens, Greece, in 2017, the M.A.Sc. degree in electrical and computer engineering from the University of Toronto, Toronto, ON, Canada, in 2020. and the Ph.D. degree in Computer Science from the University of Cambridge, Cambridge, U.K, where he is currently a research associate. He has received the Marie Sklodowska-Curie Actions-Innovative Training Networks Fellowship, the Onassis Foundation Scholarship, the IEEE AP-S C.J. Reddy Travel Grant, the Foundation for Education and European Culture Grant, and the UKRI EPSRC IAA Strategic Impact Partnership Fund 2025

Selected publications

• Bakirtzis, SS., 2024 (No publication date). Applications of Artificial Intelligence to Electromagnetism and Indoor Wireless Networks Doi: 10.17863/CAM.113346
• Bakirtzis, S., Fiore, M. and Wassell, I., 2024 (Accepted for publication). Towards Physics-Informed Graph Neural Network-based Computational Electromagnetics Doi: 10.17863/CAM.108313
• Bakirtzis, S., Fiore, M. and Wassell, I., 2024. Towards Physics-Informed Graph Neural Network-based Computational Electromagnetics IEEE Antennas and Propagation Society AP S International Symposium Digest, Doi: 10.1109/AP-S/INC-USNC-URSI52054.2024.10686000
• Bakirtzis, S., Zanella, AF., Rubrichi, S., Ziemlicki, C., Smoreda, Z., Wassell, I., Zhang, J. and Fiore, M., 2023. Characterizing Mobile Service Demands at Indoor Cellular Networks Proceedings of the ACM SIGCOMM Internet Measurement Conference IMC, Doi: 10.1145/3618257.3624807
• Qiu, K., Bakirtzis, S., Wassell, IJ., Song, H., Lin, K. and Zhang, J., 2023. IRDM: A Generative Diffusion Model for Indoor Radio Map Interpolation. GLOBECOM,
• Qiu, K., Bakirtzis, S., Song, H., Wassell, IJ. and Zhang, J., 2023. Deep Learning-Based Path Loss Prediction for Outdoor Wireless Communication Systems. ICASSP,
• Bakirtzis, S., Wassell, IJ., Fiore, M. and Zhang, J., 2022. Stochastic Evaluation of Indoor Wireless Network Performance with Data-Driven Propagation Models. GLOBECOM,
• Bakirtzis, S., Wassell, I., Fiore, M. and Zhang, J., 2022. Stochastic Evaluation of Indoor Wireless Network Performance with Data-Driven Propagation Models Proceedings IEEE Global Communications Conference Globecom, Doi: 10.1109/GLOBECOM48099.2022.10001717
• Bakirtzis, S., Qiu, K., Zhang, J. and Wassell, I., 2021 (Accepted for publication). DeepRay: Deep Learning Meets Ray-Tracing 2022 16th European Conference on Antennas and Propagation, EuCAP 2022, Doi: 10.23919/EuCAP53622.2022.9769203
• Bakirtzis, S., Wassell, I., Fiore, M. and Zhang, J., 2024. AI-Assisted Indoor Wireless Network Planning With Data-Driven Propagation Models IEEE Network, v. 38 Doi: 10.1109/MNET.2024.3397801