Doç. Dr.
Ahmet M. Elbir
Elektrik-Elektronik ve Haberleşme Mühendisliği
Ahmet M. Elbir (Senior Member, IEEE) received the B.S. degree with Honors from Firat University in 2009, and the Ph.D. degree from the Middle East Technical University (METU) in 2016, both in electrical engineering. He is currently an Associate Professor at Istinye University. He is also a Research Fellow at University of Luxembourg and King Abdullah University of Science and Technology (KAUST). In the past, Dr. Elbir has held Visiting Postdoctoral Researcher positions at Koc University in 2020-2021, Carleton University in 2022-2023, and the University of Hertfordshire in 2021-2023. In 2016-2022, he worked as a Senior Researcher at Duzce University. His research interests include array signal processing for radar and communications, and deep learning for multi-antenna systems. He has served as an Associate Editor for IEEE Wireless Communications Letters, and a Lead Guest Editor for IEEE Journal of Selected Topics in Signal Processing, IEEE Signal Processing Magazine and IEEE Wireless Communications. Dr. Elbir is the recipient of the 2016 METU Best Ph.D. thesis award for his doctoral studies, the 2022 IEEE Turkey Section Research Encouragement Award, and the IET Radar, Sonar & Navigation Best Paper Award in 2022.
Araştırma Alanları
- Signal Processing
Çalışma Alanları
- Mühendislik Temel Alanı
- Elektrik-Elektronik ve Haberleşme Mühendisliği
- İşaret İşleme
- Haberleşme
- Makine Öğrenmesi
- 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
- 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
- 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
- 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
- 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
- Federated Learning in Vehicular Networks , 2022
- Federated Channel Learning for Intelligent Reflecting Surfaces with Fewer Pilot Signals,
- Hybrid Federated and Centralized Learning, 2021
- Federated Dropout Learning for Hybrid Beamforming with Spatial Path Index Modulation in Multi-User Mmwave-Mimo Systems, 2021
- Hybrid Beamforming for Terahertz Joint Ultra-Massive MIMO Radar-Communications, 2021
- Deep Hybrid Precoding for Multi-User mm-Wave Massive MIMO Systems, 2020
- Low-Complexity Limited-Feedback Deep Hybrid Beamforming for Broadband Massive MIMO, 2020
- Deep-Sparse Array Cognitive Radar, 2019
- CNN-Based Cognitive Radar Array Selection, 2019
- Deep Learning Design for Joint Antenna Selection and Hybrid Beamforming in Massive MIMO, 2019
- Robust Hybrid Beamforming With Quantized Deep Neural Networks, 2019
- Single snapshot DOA estimation in the presence of mutual coupling for arbitrary array structures, 2016
- Compressed sensing for single snapshot direction finding in the presence of mutual coupling, 2016
- Direction of arrival and mutual coupling coefficient estimation with a single observation for arbitrary array structures, 2016
- Ground calibration of antenna arrays for complex platforms, 2013
- Ground calibration of antenna arrays for aeronautical vehicles, 2013
- Angle and position estimation for far field and near field multipath signals, 2014
- Sparse signal recovery for localization of coherent far and near field signals, 2015
- Sparse support recovery for DOA estimation in the presence of mutual coupling, 2015
- Direction finding and localization for far field sources with near field multipath reflections, 2015
- Source localization with sparse recovery for coherent far and near field signals, 2015
- Advances in Electromagnetics Empowered by Machine Learning, ISBN: 1, 2023
- En iyi bildiri sunusu ödülü, 2016
- ODTÜ en iyi tez ödülü, 2017
- IET En İyi Makale Ödülü, 2022
- IEEE Türkiye Araştırma Teşvik Ödülü, 2022