Rate My Professor Osvaldo Simeone

Professor Simeone's research interests include information theory, machine learning, wireless communications, neuromorphic computing, and quantum machine learning. He is the author of the textbooks "Machine Learning for Engineers" and "Classical and Quantum Information Theory," both published by Cambridge University Press, four monographs, two edited books, and more than 200 research journal and magazine papers. His publications have received over 26,000 citations on Google Scholar. Among his major awards and honors are co-recipient of the 2025 IEEE ICC Best Paper Award, the 2022 IEEE Communications Society Outstanding Paper Award, the 2021 IEEE Vehicular Technology Society Jack Neubauer Memorial Award, the 2019 IEEE Communications Society Best Tutorial Paper Award, the 2018 IEEE Signal Processing Best Paper Award, the 2017 JCN Best Paper Award, the 2015 IEEE Communications Society Best Tutorial Paper Award, and Best Paper Awards at IEEE SPAWC 2007 and IEEE WRECOM 2007. He received an Advanced grant from the European Research Council in 2025, an Open Fellowship from the EPSRC in 2022, and a Consolidator grant from the ERC in 2016. Professor Simeone is a Fellow of the IEEE and IET. He chaired the Signal Processing for Communications and Networking Technical Committee of the IEEE Signal Processing Society in 2022 and the UK & Ireland Chapter of the IEEE Information Theory Society from 2017 to 2022. He served as Distinguished Lecturer for the IEEE Communications Society in 2021 and 2022 and for the IEEE Information Theory Society in 2017 and 2018.