Mégane is a member of the Deutsche Telekom Chair of Communication Networks (ComNets) since February 2023.
Mégane holds a Master of Science in Electrical Engineering and Information Technology at Karlsruhe Institute of Technology (Germany) as well as an Engineering degree in Signal Processing and Communications at Grenoble Institute of Technology (France). Previously, she has worked for 5 years as at John Deere (European Technology Innovation Center, Germany) and was responsible for several projects on 5G and rural connectivity (“AMMCOA”,”KILANKO”). She is currently responsible for project DAKORE which aims is to reduce the energy consumption in mobile telecommunication technology.
She works additionally on Compressed Sensing, Network Coding, 5G Campus and Reinforcement Learning.
Email: megane.gammoudi@tu-dresden.de
Phone: +49 351 463-42114
Room: BAR – I/9
Tariq, Raazia; Gammoudi, Mégane; Khan, Omer Hanif; Dürrwald, Franz Alwin; Cabrera, Juan A.; Fitzek, Frank H. P.
Using Reinforcement Learning for Optimizing Energy Consumed by Base Stations Proceedings Article
In: IEEE International Conference on Communications, Information, Electronic and Energy Systems (CIEES), Veliko Tarnovo, Bulgaria, 2024.
BibTeX
@inproceedings{Tariq2411:OptimizingEnergyb, title = {Using Reinforcement Learning for Optimizing Energy Consumed by Base Stations}, author = {Raazia {Tariq} and M\'{e}gane {Gammoudi} and Omer Hanif {Khan} and Franz Alwin {D\"{u}rrwald} and Juan A. {Cabrera} and Frank H. P. {Fitzek}}, year = {2024}, date = {2024-11-22}, urldate = {2024-11-22}, booktitle = {IEEE International Conference on Communications, Information, Electronic and Energy Systems (CIEES)}, address = {Veliko Tarnovo, Bulgaria}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
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Gammoudi, Mégane; Scheunert, Christian; Nguyen, Giang T.; Fitzek, Frank H. P.
Practical construction of sensing matrices for a greedy sparse recovery algorithm over finite fields Proceedings Article
In: 2023 Data Compression Conference (DCC), pp. 120-129, Snowbird, UT, USA, 2023.
Links | BibTeX
@inproceedings{Gammoudi23:SensingMatrices, title = {Practical construction of sensing matrices for a greedy sparse recovery algorithm over finite fields}, author = {M\'{e}gane {Gammoudi} and Christian {Scheunert} and Giang T. {Nguyen} and Frank H. P. {Fitzek}}, doi = {10.1109/DCC55655.2023.00020}, year = {2023}, date = {2023-03-21}, urldate = {2023-03-21}, booktitle = {2023 Data Compression Conference (DCC)}, pages = {120-129}, address = {Snowbird, UT, USA}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Gammoudi, Mégane; Cabrera, Juan A.; Fitzek, Frank H. P.
Greedy Algorithm for Compressed Sensing over Finite Fields: Balancing Recovery and Efficiency Proceedings Article
In: European Wireless (EW), Rome, Italy, 2023.
@inproceedings{gammoudi2023BRE, title = {Greedy Algorithm for Compressed Sensing over Finite Fields: Balancing Recovery and Efficiency}, author = {M\'{e}gane {Gammoudi} and Juan A. {Cabrera} and Frank H. P. {Fitzek}}, year = {2023}, date = {2023-01-01}, urldate = {2023-01-01}, booktitle = {European Wireless (EW)}, address = {Rome, Italy}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }