Exploiting the Rules of the TF-MUSIC and Spatial Smoothing to Enhance the DOA Estimation for Coherent and Non-stationary Sources. - Ruslan Zhagypar; Kalamkas Zhagyparova; Muhammad Tahir Akhtar (APSIPA, 2020)

Spatially Smoothed TF-Root-MUSIC for DOA Estimation of Coherent and Non-Stationary Sources Under Noisy Conditions. - Ruslan Zhagypar; Kalamkas Zhagyparova; Muhammad Tahir Akhtar (IEEE Access, 2021)

Characterization of the Global Bias Problem in Aerial Federated Learning. - Ruslan Zhagypar; Nour Kouzayha; Hesham ElSawy; Hayssam Dahrouj; Tareq Y. Al-Naffouri (IEEE Wirel. Commun. Lett., 2023)

UAV-assisted Unbiased Hierarchical Federated Learning: Performance and Convergence Analysis. - Ruslan Zhagypar; Nour Kouzayha; Hesham ElSawy; Hayssam Dahrouj; Tareq Y. Al-Naffouri (CoRR, 2024)

Energy-Efficient Aerial Data Aggregation for IoT: From Prototyping to Large-Scale Implementation. - Omar Khalifa; Anas S. Mohammed; Ali Alhejab; Abdelrahman S. Abdelrahman; Ahmed Al-Radhwan; Ruslan Zhagypar; Hesham ElSawy; Nour Kouzayha; Noha Al-Harthi; Jaafar M. H. Elmirghani; Zekeriya Aksoy; Tareq Y. Al-Naffouri (IEEE Trans. Instrum. Meas., 2025)

Communication-Aware Optimizers for FedMeta Learning in Aerial Wireless Networks. - Ruslan Zhagypar; Nour Kouzayha; Hesham ElSawy; Hayssam Dahrouj; Tareq Y. Al-Naffouri (IEEE Wirel. Commun. Lett., 2025)