ɪ'ᴍ ᴍᴇɪᴅɪ ʟᴇғᴋɪ!
Telecommunications • Signal Processing • Machine Learning
I am an M2 student in Advanced Wireless Communication Systems at CentraleSupélec / Université Paris-Saclay, with a background in Machine Learning and Data Science. My interests lie at the intersection of telecommunications, signal processing and artificial intelligence.
Currently working on RF source localization using UAV-based wireless measurements.
Studying wireless communications, signal processing, information theory and digital communications.
Interested in Machine Learning and Reinforcement Learning for communication systems.
Building a deeper understanding of communication and signal-processing systems through mathematical study and implementation.
Interested in RF localization, wireless networks, 5G/6G, UAV and satellite communications.
My objective is to contribute to and publish research in telecommunications and wireless communications.
Long-term goal: pursue research and work in R&D on next-generation communication systems.
- Deepening my foundations in digital signal processing and wireless communications.
- Studying Fourier analysis, convolution, sampling, filtering and digital modulation.
- Developing communication-system implementations with a focus on understanding the underlying mathematics.
- Exploring information theory and statistical methods used in communication systems.
- Investigating Machine Learning and Reinforcement Learning applications in telecommunications.
- Wireless Communications and 5G/6G
- Signal Processing
- RF Localization and Positioning
- Information Theory
- Machine Learning for Wireless Communications
- UAV and Satellite Communications
- Wireless Networks and Resource Allocation
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UAV-assisted localization of RF sources using real-world wireless measurements. RSSI • ToA • TDoA • Optimization • Machine Learning |
Mathematical study and implementation of fundamental signal-processing concepts. Signals • Convolution • Fourier Analysis • Sampling • Filtering |
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Projects spanning classical ML, Deep Learning, NLP and representation learning. PyTorch • Scikit-learn • NLP • Deep Learning • Clustering |
Networking, packet analysis, systems programming and containerized environments. C/C++ • Linux • Docker • Networking |
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Publish research in Telecommunications, Wireless Communications and Signal Processing
Develop expertise in Digital Communications, Signal Processing and Information Theory
Explore Machine Learning and Reinforcement Learning for communication systems
Work on RF localization and next-generation wireless systems
Pursue a PhD related to Telecommunications and AI for Wireless Communications
Work in industrial R&D on next-generation communication systems
