Lissy Pellaco is a researcher specializing in advanced antenna systems who applies machine learning to push the boundaries of 5G and emerging 6G networks. With a PhD from KTH in Machine Learning for Radio Communications and eight years of experience spanning academia and industry, she combines domain knowledge and AI to deliver novel solutions validated in top journals and conferences. Her work earned an Outstanding Student Paper Award at ICASSP 2021 and includes reviewing for premier venues such as NeurIPS, ICML and IEEE Transactions. Now at Ericsson, she focuses on practical AI applications for advanced antenna systems, translating theoretical advances into telecom-grade research. Colleagues appreciate that she pairs rigorous signal-processing foundations with a knack for making complex models work within real-world wireless constraints.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning applied to Radio Communications, Doctor of Philosophy - PhD, Machine Learning applied to Radio Communications at KTH Royal Institute of Technology
Master of Science (M.Sc.), Multimedia Signal Processing and Telecommunication Networks, 110 cum laude/110 with honors and pubblication recommendeed, Master of Science (M.Sc.), Multimedia Signal Processing and Telecommunication Networks, 110 cum laude/110 with honors and pubblication recommendeed at Università degli Studi di Genova
HIgh school degree, 100 cum laude/100, HIgh school degree, 100 cum laude/100 at G. D. Cassini Scientific High School
Contributions:64 commits, 1 PR, 55 pushes in 1 year 8 months
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Lissy Pellaco - Researcher Advanced Antenna Systems at Ericsson