Matteo Nerini
Postdoctoral Research Associate
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMatteo Nerini is a postdoctoral researcher at Imperial College London with eight years of experience in wireless communications and signal processing, currently working in Prof. Bruno Clerckx’s lab. He holds a PhD in Electrical and Electronics Engineering from Imperial and top-tier MS and BS degrees in telecommunications and communication technology, graduating with highest honors. Matteo has combined rigorous research with teaching experience across core mathematics and signals modules, and spent time as a visiting researcher at TUM, reflecting a strong international and collaborative profile. His work bridges theoretical signal-processing methods and practical wireless systems, informed by hands-on lab leadership and interdisciplinary coursework from elite European institutions. Notably, his consistent academic excellence and dual roles in research and teaching suggest an aptitude for translating complex theory into clear, teachable results.
8 years of coding experience
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Imperial College LondonMaster of Science - MS, Telecommunications Engineering, 110/110 cum laude, Grade Point Average: 30/30, Master of Science - MS, Telecommunications Engineering, 110/110 cum laude, Grade Point Average: 30/30 at Alma Mater Studiorum – Università di BolognaNorwegian University of Science and Technology
Italian, English
Github Skills (6)
5g10
wifi10
variable-length9
machine-learning5
git1
libgit21
Programming languages (3)
Github contributions (5)
matteonerini/5g-network-slicing-for-wifi-networks
Dec 2020 - Oct 2022
5G Network Slicing for Wi-Fi Networks
Contributions:26 commits, 27 pushes, 1 branch in 1 year 9 months
5gwifinetwork-slicingwi-fiwifi-network
matteonerini/ml-based-csi-feedback
Oct 2022 - Mar 2023
Machine Learning-Based CSI Feedback With Variable Length in FDD Massive MIMO
Contributions:13 commits, 14 pushes in 5 months
machine-learningvariable-lengthcsi-feedbackmassive-mimofdd
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