Theses / dissertations
Bakirtzis, SS., 2024 (No publication date). Applications of Artificial Intelligence to Electromagnetism and Indoor Wireless Networks
Doi: 10.17863/CAM.113346
Conference proceedings
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
Journal articles
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
Ferreira, GO., Zanella, AF., Bakirtzis, S., Ravazzi, C., Dabbene, F., Calafiore, GC., Wassell, I., Zhang, J. and Fiore, M., 2024. A Joint Optimization Approach for Power-Efficient Heterogeneous OFDMA Radio Access Networks IEEE Journal on Selected Areas in Communications,
Doi: 10.1109/JSAC.2024.3431524
Bakirtzis, S., Chen, J., Qiu, K., Zhang, J. and Wassell, I., 2022. EM DeepRay: An Expedient, Generalizable and Realistic Data-Driven Indoor Propagation Model IEEE Transactions on Antennas and Propagation,
Doi: 10.1109/tap.2022.3172221
Bakirtzis, S., Qiu, K., Wassell, I., Fiore, M. and Zhang, J., 2022. Deep Learning-based Multivariate Time Series Classification for Indoor/Outdoor Detection IEEE Internet of Things Journal,
Doi: 10.1109/jiot.2022.3190555
Qiu, K., Bakirtzis, S., Song, H., Zhang, J. and Wassell, I., 2022. Pseudo Ray-Tracing: Deep Leaning Assisted Outdoor mm-Wave Path Loss Prediction IEEE Wireless Communications Letters, v. 11
Doi: 10.1109/LWC.2022.3175091
Datasets
Bakirtzis, S., Qiu, K., Wassell, I., Fiore, M. and Zhang, J., 2022. Research data supporting ''Deep Learning-based Multivariate Time Series Classification for Indoor Outdoor Detection"
Doi: 10.17863/CAM.82668
