AGH University of Science and Technology, Krakow, Poland

Email: [email protected]

Qualifications

2004 Ph.D., University of Pisa, Micro and Nano-Electronics

2000 M.S., University of Pisa, Electronic Engineering

Publications (selected)

1. Kandregula, V. R., Zaharis, Z. D., Vassos, E., et al. (2026). Two-antenna gain measurement method using two UAVs. Sensors, 26(7), Article 2174.
2. Iliadis, L. A., Zaharis, Z. D., Sarigiannidis, P., et al. (2026). Low complexity residual learning for pilot signal reconstruction in RIS-aided MIMO systems. IEEE Communications Letters, 30, 2367–2371.
3. Mahmoud, M., Rizou, S., Panayides, A. S., et al. (2026). Modeling user perception for multi-quality tile-based 360° video streaming. IEEE Transactions on Multimedia, 28, 5603–5616.
4. Mylonakis, C. M., Kantartzis, N. V., Goudos, S. K., et al. (2026). Multi-horizon direction of arrival forecasting with temporal fusion transformers: A time-series learning approach to target tracking. IEEE Transactions on Communications, 74, 6687–6702.
5. Rekkas, V., Sotiroudis, S. P., Zaharis, Z. D., et al. (2025). Machine learning-based radio environment maps for 4G/5G networks. IEEE Transactions on Antennas and Propagation, 73(12), 10529–10543.
6. Kassir, H. A., Antonopoulos, C. S., & Zaharis, Z. D. (2025). TBF-CM: A Transformer-based beamforming framework leveraging correlation matrix information. IEEE Transactions on Antennas and Propagation, 73(10), 7862–7871.
7. Cano, P. H. Z., Amanatiadis, S. A., Zaharis, Z. D., et al. (2025). Accurate extraction of graphene scattering properties via a robust formulation for fundamental modes. IEEE Transactions on Antennas and Propagation, 73(8), 5751–5761.
8. Mallioras, I., Yioultsis, T. V., Kantartzis, N. V., et al. (2025). A novel neural network approach to proactive 3-D beamforming. IEEE Transactions on Cognitive Communications and Networking, 11(3), 1576–1596.
9. Muntaha, S. T., Hafeez, M., Ahmed, Q. Z., et al. (2025). RAN slicing with joint resource allocation for a multi-tenant-multi-service system. IEEE Transactions on Cognitive Communications and Networking, 11(3), 1927–1939.
10. Kougioumtzidis, G., Poulkov, V. K., Lazaridis, P. I., et al. (2025). Deep reinforcement learning-based resource allocation for QoE enhancement in wireless VR communications. IEEE Access, 13, 25045–25058.
11. Kandregula, V. R., Zaharis, Z. D., Ahmed, Q. Z., et al. (2024). A review of unmanned aerial vehicle based antenna and propagation measurements. Sensors, 24(22), Article 7395.
12. Cano, P. H. Z., Vassos, E., Zaharis, Z. D., et al. (2024). Ultralow-loss reconfigurable phase-shifting metasurface in V band: A multiobjective optimization approach. IEEE Transactions on Antennas and Propagation, 72(2), 1407–1417.
13. Milias, C., Andersen, R. B., Jorgensen, T. H., et al. (2024). Linear antenna array with full-spherical beamsteering. IEEE Transactions on Antennas and Propagation, 72(1), 566–579.
14. Stamatopoulos, I., Koutzoglou, I., Karatzidis, D. I., et al. (2023). Efficient filter design to compensate fabrication imperfections in 6G communication systems. Sensors, 23(24), Article 9825.
15. Milias, C., Andersen, R. B., Jorgensen, T. H., et al. (2023). Mechanically controlled, wide-angle scanning, series-fed antenna array with low profile for high-power radar systems. IEEE Transactions on Antennas and Propagation, 71(8), 6454–6469.
16. Milias, C., Andersen, R. B., Muhammad, B., et al. (2023). UAS-borne radar for autonomous navigation and surveillance applications. IEEE Transactions on Intelligent Transportation Systems, 24(7), 7215–7229.
17. Cano, P. H. Z., Amanatiadis, S., Zaharis, Z. D., et al. (2023). Robust FDTD modeling of graphene-based conductive materials with transient features for advanced antenna applications. Nanomaterials, 13(3), Article 384.
18. Amjad, B., Ahmed, Q. Z., Lazaridis, P. I., et al. (2023). Radio SLAM: A review on radio-based simultaneous localization and mapping. IEEE Access, 11, 9260–9278.
19. Amjad, B., Ahmed, Q. Z., Lazaridis, P. I., et al. (2023). Deep learning approach for optimal localization using an mm-wave sensor. IEEE Transactions on Instrumentation and Measurement, 72, Article 8005015.
20. Kougioumtzidis, G., Vlahov, A., Poulkov, V. K., et al. (2023). Deep learning-aided QoE prediction for virtual reality applications over open radio access networks. IEEE Access, 11, 143514–143529.

Profile Details

https://ieee-cas.org/contact/domenico-zito
https://scholar.google.com/citations?user=5149KzcAAAAJ&hl=it
https://www.researchgate.net/profile/Domenico-Zito

WOS ResearcherID: CJY-2429-2022