Anna Gaydamaka

Biography

Anna Gaydamaka received the B.S. degree in mathematics from RUDN University, Moscow, Russia, in 2018, and the M.S. in computer science from Università di Pisa, Pisa, Italy, in 2021. She is currently pursuing the Ph.D. in computing and electrical engineering at Tampere University, Tampere, Finland. She focuses on the mathematical modeling of 5G/6G networks, with a focus on blockage detection in sub-THz/THz band communications, UAV localization, and connectivity techniques using THz range radars and machine learning solutions for multicasting and network slicing in 5G NR systems.

Other Publications

20 scientific publications in total, including the following five selected most relevant ones:

• Gaydamaka, A., Samuylov, A., Moltchanov, D., Ashraf, M., Tan, B. and Koucheryavy, Y., 2023. Dynamic Topology Organization and Maintenance Algorithms for Autonomous UAV Swarms. IEEE Transactions on Mobile Computing.
• Gaydamaka, A., Samuylov, A., Moltchanov, D., Ashraf, M., Tan, B. and Koucheryavy, Y., 2023. On the Optimal Antenna Beamwidth for UAV Localization using mmWave/THz Range Radars. IEEE Future Networks World Forum.
• Zhinuk, F., Gaydamaka, A., Moltchanov, D., and Koucheryavy, Y., 2024. Spectral-Based Proactive Blockage Detection for Sub-THz Communications. IEEE Communications Letters.
• Yarkina, N., Gaydamaka, A., Moltchanov, D. and Koucheryavy, Y., 2022. Performance Assessment of an ITU-T Compliant Machine Learning Enhancements for 5G RAN Network Slicing. IEEE Transactions on Mobile Computing.
• Chukhno, N., Chukhno, O., Moltchanov, D., Pizzi, S., Gaydamaka, A., Samuylov, A., Molinaro, A., Koucheryavy, Y., Iera, A. and Araniti, G., 2023. Models, Methods, and Solutions for Multicasting in 5G/6G mmWave and sub-THz Systems. IEEE Communications Surveys and Tutorials.