Dec 2022: Accepted Overview Paper in IEEE Network Magazine: The Rise of Intelligent Reflecting Surfaces in Integrated Sensing and Communications Paradigms
Dec 2022: Tutorial on Hybrid beamforming for mm-Wave and THz Joint Radar-Communications at IEEE AP-S/URSI Conference to be Presented in June 2023
Dec 2022: TPC Member at ICASSP 2023 Workshop on Signal Processing for Synthetic Apertures
Nov 2022: Our Book Chapter on: "Machine Learning for Metasurfaces Design and Their Applications", in Advances in Electromagnetics Empowered by Machine Learning, D. H. Werner and S. D. Campbell (Eds.), Wiley-IEEE Press. [Preprint]
Oct 2022: Invited Lecture at George Washington U. on "Introduction to Machine Learning for Communications"
Sep 2022: Session Chair at MeditCom, Machine Learning for Communications
Aug 2022: Invited Talk at Dept. of ECE, Mississippi State University on "Deep Learning for Radar and Communications"
Jul 2022: Accepted Overview Paper in IEEE MeditCom 2022: Federated Learning in Vehicular Networks [Preprint]
Jun 2022: Accepted Paper in IEEE TCCN: A Hybrid Architecture for Federated and Centralized Learning [Preprint]
May 2022: Invited Talk at URSI AP-RASC 2022 on "Deep Learning for Hybrid Beamforming in Joint Radar-Communications"
Apr 2022: Accepted Overview Paper in IEEE WCM: Cognitive Learning-Aided Multi-Antenna Communications [Preprint]
Apr 2022: Been The Most Published Researcher in Duzce University in The Area of Natural Sciences and Engineering During 2021, Three years in a row
Mar 2022: Joined Carleton University as a Research Fellow working on Distributed Machine Learning for Communications.
Feb 2022: My first work on deep learning received The IET Premium Award: A. M. Elbir, K. V. Mishra and Y. C. Eldar, "Cognitive radar antenna selection via deep learning," IET Radar, Sonar & Navigation, vol. 13, no. 6, pp. 871-880, 6 2019.
Dec 2021: Joint tutorial with K.V. Mishra at IEEE ICC 2022 on Deep Learning Techniques for Hybrid Beamforming in mmWave and THz-Band Communications and Radar
Sep 2021: Accepted Paper in IEEE JSTSP Special Issue on Joint Radar & Communications: "Terahertz-Band Joint Ultra-Massive MIMO Radar-Communications: Model-Based and Model-Free Hybrid Beamforming" [Preprint]
Sep 2021: Accepted Paper in IEEE Comm. Magazine: "Federated Learning for Physical Layer Design" [Preprint]
Sep 2021: Invited Talk at IEEE Future Networks; Massive MIMO Workshop on Deep Learning for Wireless Communications
Jun 2021: Been The Most Published Researcher in Duzce University in The Area of Natural Sciences and Engineering During 2020
May 2021: Tutorial at EUSIPCO 2021 on "Massive and Ultramassive MIMO Hybrid Beamforming for Radar and Communications: Optimization to Deep Learning" with K.V. Mishra from US Army Research Lab
Apr 2021: Joined University of Hertfordshire as a Research Fellow
Mar 2021: Invited Talk at 2021 International Symposium on Multidisciplinary Studies and Innovative Technologies on "Machine Learning for Wireless Communications"
Mar 2021: Invited Talk at Eskisehir Technical University on "Deep Learning for Array Signal Processing"
Feb 2021: Research grant approved by Turkish National Science Agency for Postdoctoral studies on "Distributed Machine Learning in Vehicular Networks" at Koc University.
Feb 2021: Invited talk at Nanjing University of Posts and Telecommunications on "Deep learning for physical layer design".
Jan 2021: Joined University of Luxembourg as a Research Fellow.
Jan 2021: Invited talk at COMSATS University Islamabad on "Deep learning-based beamformer design".
Dec 2020: Been The Most Published Researcher in Duzce University in The Area of Natural Sciences and Engineering During 2019.
Nov 2020: Joint tutorial at COMSNETS 2021 with Dr. K.V. Mishra on "Learning-Based Beamforming for Radar and Communications"
May 2020: Joined Wireless Networks Lab at Koc University as a Postdoc, working on Machine learning for Vehicular Communications.
Feb 2020: Elevated to Senior Member Grade of IEEE.
Nov 2019: Accepted paper in IEEE TWC: Joint Antenna Selection and Hybrid Beamformer Design using Unquantized and Quantized Deep Learning Networks
Oct 2019: TPC Member for AISP 2019-International Conference on Artificial Intelligence and Signal Processing.
Oct 2019: Accepted paper in IEEE TVT: Hybrid Precoding for Multi-User Millimeter Wave Massive MIMO Systems: A Deep Learning Approach
Mar 2019: Demo on "Deep Sparse Antenna Array Selection And DOA Estimation" will be presented in ICASSP 2019.
Feb 2019: Technical Program Committee Member for SIU 2019.
Jan 2019: Technical Program Committee Member for DISP'19.
Jan 2019: Technical Program Committee Member for SampTA 2019.
Dec 2018: Appointed as Associate Editor for IEEE Access.
25.07.2017: Research project granted by TUBITAK (Turkish Scientific Research Council), "Development of Direction-Finding Methods Robust Against Systematical and Environmental Factors".
12.05.2017: Best thesis award received from Middle East Technical University for the Ph.D thesis: A. M. Elbir, "Direction Finding In The Presence of Array Imperfections, Model Mismatches and Multipath".
17.10.2016: Started working at the Dept. of Electrical and Electronics Engineering in Duzce University.
21.06.2016: Received Ph.D degree from the Dept. of Electrical and Electronics Engineering in Middle East Technical University.
09.05.2016: Best presentation award received from GRAD STaR 2016 for the paper: A. M. Elbir and T. E. Tuncer, "Direction Finding For Arbitrary Array Structures In The Presence of Mutual Coupling".
