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Research
Energy efficiency in B5G/6G IoT networks using deep reinforcement learning, metaheuristics, and D2D communication strategies.
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Teaching
253+ hours of teaching across system programming, networking, system administration, and Python — from L1 to M2 level.
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Publications
Published at IEEE GLOBECOM and IEEE WCNC, focusing on improving energy lifetime in 5G mMTC networks.
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Languages
Pharo (Smalltalk)C/C++PythonBash
Tools & Methods
GitOMNeT++DockerKubernetes
Libraries
PagmoPyTorchNumPyscikit-learn
Networks
5G/6GOpenAirInterfacesrsRANopen5GSNB-IoTLTE-MD2D
AI/ML
Q-LearningDQNSupervised/Unsupervised LearningMetaheuristics