Osvaldo Simeone

Professor,  Intelligent Networked Systems Institute

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Research Focus

Information theory, Quantum information processing, Machine learning, Neuromorphic computing, Wireless communications

About

Osvaldo Simeone is the Professor of Information Engineering at Northeastern University London, where he co-directs the Intelligent Networked Systems Institute (INSI), and a visiting Professor at Aalborg University. Previously, he was with King’s College London from 2017 to 2025, and with the New Jersey Institute of Technology (NJIT) from 2006 to 2017. Among other recognitions, Prof.  Simeone is a co-recipient of the 2022 IEEE Communications Society Outstanding Paper Award, the 2021 IEEE Vehicular Technology Society Jack Neubauer Memorial Award, the 2019 IEEE Communication Society Best Tutorial Paper Award, the 2018 IEEE Signal Processing Best Paper Award, and the 2015 IEEE Communication Society Best Tutorial Paper Award. He was awarded an Advanced grant by the European Research Council (ERC) in 2025, an Open Fellowship by the EPSRC in 2022, and a Consolidator grant by the ERC in 2016. He was a Distinguished Lecturer of the IEEE Communications Society in 2021 and 2022, and he was a Distinguished Lecturer of the IEEE Information Theory Society in 2017 and 2018.   Prof. Simeone is the author of the textbooks “Machine Learning for Engineers” and “Classical and Quantum Information Theory” published by Cambridge University Press, four monographs, two edited books, and more than 200 research journal and magazine papers. He is a Fellow of the IET and IEEE.  

Education

  • PhD, information engineering, Politecnico di Milano, Milan, Italy, 2005

Honors & Awards

  • IEEE FELLOW

Research Overview

Information theory, Quantum information processing, Machine learning, Neuromorphic computing, Wireless communications

Faculty

Jan 26, 2026

Innovation Across the Sea: London’s New INS Hub

Northeastern’s Institute for Intelligent Networked Systems opens a new hub in London after its success in Boston and Burlington. Their projects focus on optimizing wireless communications, with a focus on AI.

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