Articles
- Hybrid Beamforming for Integrated Sensing and Communications With Low Resolution DACs ,2025
- Antenna Selection With Beam Squint Compensation for Integrated Sensing and Communications ,2024
- Index Modulation for Integrated Sensing and Communications: A signal processing perspective [Special Issue on Signal Processing for the Integrated Sensing and Communications Revolution] ,2024
- A Unified Approach for Beam-Split Mitigation in Terahertz Wideband Hybrid Beamforming ,2023
- Twenty-Five Years of Advances in Beamforming: From convex and nonconvex optimization to learning techniques ,2023
- Cooperative RIS and STAR-RIS Assisted mMIMO Communication: Analysis and Optimization ,2023
- Near-Field Terahertz Communications: Model-Based and Model-Free Channel Estimation ,2023
- Terahertz-Band Direction Finding With Beam-Split and Mutual Coupling Calibration ,2023
- Asymptotic Analysis of Max-Min Weighted SINR for IRS-Assisted MISO Systems With Hardware Impairments ,2023
- Terahertz-Band Channel and Beam Split Estimation via Array Perturbation Model ,2023
- BSA-OMP: Beam-Split-Aware Orthogonal Matching Pursuit for THz Channel Estimation ,2023
- The Rise of Intelligent Reflecting Surfaces in Integrated Sensing and Communications Paradigms ,2022
- Cognitive Learning-Aided Multi-Antenna Communications ,2022
- A Family of Deep Learning Architectures for Channel Estimation and Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO ,2022
- Federated Learning for Channel Estimation in Conventional and RIS-Assisted Massive MIMO ,2022
- A Hybrid Architecture for Federated and Centralized Learning ,2022
- Vehicular networks for combating a worldwide pandemic: Preventing the spread of COVID-19 ,2022
- Sparse Array Selection Across Arbitrary Sensor Geometries with Deep Transfer Learning ,2021
- Coverage Probability of Distributed IRS Systems Under Spatially Correlated Channels ,2021
- Federated Learning for DL-CSI Prediction in FDD Massive MIMO Systems ,2021
- Terahertz-Band Joint Ultra-Massive MIMO Radar-Communications: Model-Based and Model-Free Hybrid Beamforming ,2021
- Sparse Array Selection Across Arbitrary Sensor Geometries With Deep Transfer Learning ,2021
- Federated Learning for Physical Layer Design ,2021
- Hybrid Precoding for Multiuser Millimeter Wave Massive MIMO Systems: A Deep Learning Approach ,2020
- L-shaped coprime array structures for DOA estimation ,2020
- Joint Antenna Selection and Hybrid Beamformer Design using Unquantized and Quantized Deep Learning Networks ,2020
- DeepMUSIC: Multiple Signal Classification via Deep Learning ,2020
- A Deep Learning Framework for Hybrid Beamforming Without Instantaneous CSI Feedback ,2020
- Deep Channel Learning for Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems ,2020
- Hybrid Precoding Design for Two-Way Relay-Assisted Terahertz Massive MIMO Systems ,2020
- Federated Learning for Hybrid Beamforming in mm-Wave Massive MIMO ,2020
- Federated Learning for Hybrid Beamforming in mm-Wave Massive MIMO ,2020
- Evaluation of Reconfigurable Multiple and Compact Micro-Strip Antennas for MIMO Systems ,2018
- Sensor array calibration with joint-block-sparsity in the presence of multiple separable observations ,2019
- Two-Dimensional DOA Estimation via Shifted Sparse Arrays with Higher Degrees of Freedom ,2019
- V-Shaped Sparse Arrays for 2-D DOA Estimation ,2019
- Cognitive radar antenna selection via deep learning ,2019
- Joint-block-sparsity for efficient 2-D DOA estimation with multiple separable observations ,2019
- CNN-Based Precoder and Combiner Design in mmWave MIMO Systems ,2019
- COPRIME ARRAYS WITH ENHANCED DEGREES OF FREEDOM ,2018
- Two-Dimensional DOA Estimation via Shifted Sparse Arrays with Higher Degrees of Freedom
- Sensor array calibration with joint-block-sparsity in the presence of multiple separable observations
- CNN-Based Precoder and Combiner Design in mmWave MIMO Systems
- Joint-block-sparsity for efficient 2-D DOA estimation with multiple separable observations
- Sensor array calibration with joint-block-sparsity in the presence of multiple separable observations
- A Novel Data Transformation Approach for DOA Estimation With 3-D Antenna Arrays in the Presence of Mutual Coupling ,2017
- Direction Finding in the Presence of Direction-Dependent Mutual Coupling ,2017
- A Novel Data Transformation Approach for DOA Estimation With 3-D Antenna Arrays in the Presence of Mutual Coupling ,2017
- A Novel Data Transformation Approach for DOA Estimation With 3-D Antenna Arrays in the Presence of Mutual Coupling ,2017
- Calibration of directional mutual coupling for antenna arrays ,2017
- 2 D DOA and mutual coupling coefficient estimation for arbitrary array structures with single and multiple snapshots ,2016
- Far field DOA estimation and near field localization for multipath signals ,2014
- Calibration of antenna arrays for aeronautical vehicles on ground ,2013
Reports
- Sparse support recovery for DOA estimation in the presence of mutual coupling - ELBİR AHMET METE,TUNCER TEMEL ENGİN
- Sparse Support Recovery For DOA Estimation In The Presence Of Mutual Coupling - ELBİR AHMET MUSAB,TUNCER TEMEL ENGİN
Books
- Advances in Electromagnetics Empowered by Machine Learning – Wiley-IEEE
Awards
- IEEE Türkiye Araştırma Teşvik Ödülü – 2022
- IET Premium Award for Best Paper – 2022
- ODTÜ En İyi Tez Ödülü – 2017
- En İyi Bildiri Sunusu Ödülü – 2016
Research Areas
- Mühendislik Temel Alanı
- Elektrik-Elektronik ve Haberleşme Mühendisliği