Mohamed Amine Lahmeri
Chair of Digital Communications
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UAV-enabled wireless communication systems, radar sensing, mathematical optimization, machine learning for wireless communications
M. Amine Lahmeri (IEEE Member) received the National Engineering Diploma degree from École Polytechnique de Tunisie, Tunisia, the M.Sc. degree from King Abdullah University of Science and Technology (KAUST), Saudi Arabia, and the Ph.D. degree from Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany, in 2019, 2021, and 2025, respectively. He is currently a Postdoctoral Researcher with the Institute for Digital Communications at FAU. His research interests include UAV-enabled wireless communication systems, radar sensing, mathematical optimization, and machine learning for wireless communications.
2025
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UAV Formation and Resource Allocation Optimization for Communication-Assisted 3D InSAR Sensing
In: IEEE Transactions on Communications (2025)
ISSN: 0090-6778
DOI: 10.1109/TCOMM.2025.3535902
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2024
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Robust Trajectory and Resource Optimization for Communication-assisted UAV SAR Sensing
In: IEEE Open Journal of the Communications Society (2024), p. 1-1
ISSN: 2644-125X
DOI: 10.1109/OJCOMS.2024.3396922
BibTeX: Download - , , , , :
UAV Formation Optimization for Communication-Assisted InSAR Sensing
59th Annual IEEE International Conference on Communications, ICC 2024 (Denver, CO, June 2024 - June 2024)
In: Matthew Valenti, David Reed, Melissa Torres (ed.): IEEE International Conference on Communications 2024
DOI: 10.1109/ICC51166.2024.10622647
URL: https://ieeexplore.ieee.org/abstract/document/10622647
BibTeX: Download - , , , , , , , , , , , , , , , , :
Towards Detecting Climate Change Effects With UAV-Borne Imaging Radars
In: IEEE Journal of Microwaves (2024), p. 1-13
ISSN: 2692-8388
DOI: 10.1109/JMW.2024.3450015
URL: https://ieeexplore.ieee.org/abstract/document/10683959
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2022
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Trajectory and Resource Optimization for UAV Synthetic Aperture Radar
IEEE Global Communications Conference 2022 (Rio de Janeiro, Brasil, December 2022 - December 2022)
In: Proceedings of the IEEE Global Communications Conference (GLOBECOM) 2022 2022
DOI: 10.1109/GCWkshps56602.2022.10008658
BibTeX: Download - , , :
Charging Techniques for UAV-Assisted Data Collection: Is Laser Power Beaming the Answer?
In: IEEE Communications Magazine 60 (2022), p. 50-56
ISSN: 0163-6804
DOI: 10.1109/MCOM.001.2100871
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2021
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Artificial Intelligence for UAV-Enabled Wireless Networks: A Survey
In: IEEE Open Journal of the Communications Society 2 (2021), p. 1015-1040
ISSN: 2644-125X
DOI: 10.1109/OJCOMS.2021.3075201
URL: https://ieeexplore.ieee.org/abstract/document/9411810
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2019
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Stochastic geometry-based analysis of airborne base stations with laser-powered UAVs
In: IEEE Communications Letters 24 (2019), p. 173-177
ISSN: 1089-7798
DOI: 10.1109/LCOMM.2019.2947039
URL: https://ieeexplore.ieee.org/abstract/document/8866716
BibTeX: Download
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- : 3rd in the Four-Minute-Thesis Competition at IEEE International Conference on Communications (ICC) (IEEE Communications Society) – 2024
- : 1st in the KAUST 6G Summit Competition on Connecting the Unconnected (KAUST) – 2021