Machine Learning-Based Direction-of-Arrival Estimation Exploiting Distributed Sparse Arrays. - Saidur R. Pavel; Md. Waqeeb T. S. Chowdhury; Yimin D. Zhang; Dan Shen; Genshe Chen (ACSCC, 2021)

Neural Network-Based Compression Framework for DOA Estimation Exploiting Distributed Array. - Saidur R. Pavel; Yimin D. Zhang (ICASSP, 2022)

Neural Network Approach to Iterative Optimization of Compressive Measurement Matrix in Massive Mimo System. - Saidur R. Pavel; Yimin D. Zhang (SAM, 2022)

Active IRS-Assisted MIMO Channel Estimation and Prediction. - Mirza Asif Haider; Saidur R. Pavel; Yimin D. Zhang; Elias Aboutanios (ICASSP, 2023)

Deep Learning-Based Compressive Sampling Optimization in Massive MIMO Systems. - Saidur R. Pavel; Yimin D. Zhang; Maria S. Greco; Fulvio Gini (ICASSP, 2023)

Optimization of the Compressive Measurement Matrix in a Massive MIMO System Exploiting LSTM Networks. - Saidur R. Pavel; Yimin D. Zhang (Algorithms, 2023)

Tensor Reconstruction-Based Sparse Array 2-D DOA Estimation of Mixed Coherent and Uncorrelated Signals. - Saidur R. Pavel; Yimin D. Zhang; Shunqiao Sun; André L. F. de Almeida (ICASSP, 2024)

Direction-of-Arrival Estimation of Mixed Coherent and Uncorrelated Signals. - Saidur R. Pavel; Yimin D. Zhang (IEEE Signal Process. Lett., 2024)

Massive MIMO System Partitioning for Efficient Hybrid Beamformer Optimization. - Saidur R. Pavel; Yimin D. Zhang; Batu K. Chalise (ICASSP, 2025)