Professor Osvaldo Simeone
Professor of Information Engineering
- Chair of the UK and Ireland Chapter of the IEEE Information Theory Society
Research interests
- Engineering
Biography
Osvaldo Simeone is a Professor of Information Engineering in the Centre for Telecommunications Research, Department of Engineering, King's College London, where he directs the King's Communications, Learning and Information Processing lab.
He received an MSc degree (with honours) and a PhD degree in information engineering from Politecnico di Milano, Milan, Italy, in 2001 and 2005, respectively. From 2006 to 2017, he was a faculty member of the Electrical and Computer Engineering (ECE) Department at New Jersey Institute of Technology (NJIT), where he was affiliated with the Center for Wireless Information Processing (CWiP).
Professor Simeone's research interests include information theory, machine learning, wireless communications, neuromorphic computing, and quantum machine learning. He 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, the 2017 JCN Best Paper Award, the 2015 IEEE Communication Society Best Tutorial Paper Award and of the Best Paper Awards of IEEE SPAWC 2007 and IEEE WRECOM 2007.
He was awarded an Open Fellowship by the EPSRC in 2022 and a Consolidator grant by the European Research Council (ERC) in 2016. His research has been also supported by the US National Science Foundation, the European Commission, the European Research Council, the Vienna Science and Technology Fund, the European Space Agency, as well as by a number of industrial collaborations including with Intel Labs and InterDigital.
Osvaldo is the Chair of the Signal Processing for Communications and Networking Technical Committee of the IEEE Signal Processing Society and of the UK & Ireland Chapter of the IEEE Information Theory Society. He is currently a Distinguished Lecturer of the IEEE Communications Society, and he was a Distinguished Lecturer of the IEEE Information Theory Society in 2017 and 2018. Professor Simeone is the author of the textbook Machine Learning for Engineers published by Cambridge University Press, four monographs, two edited books, and more than 180 research journal and magazine papers. He is a Fellow of the IET, EPSRC, and IEEE.
Research Interests
- Wireless communications
- Network information theory
- Optimization and machine learning
More Information
Research
Data-Centric Engineering
Applying machine learning to engineering challenges
Centre for Telecommunications Research
A global leader in telecommunications and data and information processing
Communication & Information Engineering
Managing information and connecting human activities
Centre for Intelligent Information Processing Systems
Research centre focusing on intelligent information systems, encompassing hardware-software co-design, nanoscale information systems, signal processing, information engineering, and quantum information processing.
News
King's engineers awarded prestigious grant to make AI more accessible
The team aims to develop new hardware to reduce the cost in developing complex models by a thousand times.
King's engineers to explore brain-inspired computing in 6G telecommunications
Neuromorphic computing holds significant potential for faster and greener telecommunications technologies.
King's joins £12 million project investing in future of 6G communication systems
The research is part of the government’s strategic investment in UK telecommunications.
King's engineers awarded prestigious research fellowships to make AI more trustworthy and sustainable
Dr Bipin Rajendran and Professor Osvaldo Simeone have each won Engineering and Physical Sciences Research Council (EPSRC) Open Fellowships to research...
Research into smart radio environments wins 'outstanding paper' award
Research into 6G recognised
Research
Data-Centric Engineering
Applying machine learning to engineering challenges
Centre for Telecommunications Research
A global leader in telecommunications and data and information processing
Communication & Information Engineering
Managing information and connecting human activities
Centre for Intelligent Information Processing Systems
Research centre focusing on intelligent information systems, encompassing hardware-software co-design, nanoscale information systems, signal processing, information engineering, and quantum information processing.
News
King's engineers awarded prestigious grant to make AI more accessible
The team aims to develop new hardware to reduce the cost in developing complex models by a thousand times.
King's engineers to explore brain-inspired computing in 6G telecommunications
Neuromorphic computing holds significant potential for faster and greener telecommunications technologies.
King's joins £12 million project investing in future of 6G communication systems
The research is part of the government’s strategic investment in UK telecommunications.
King's engineers awarded prestigious research fellowships to make AI more trustworthy and sustainable
Dr Bipin Rajendran and Professor Osvaldo Simeone have each won Engineering and Physical Sciences Research Council (EPSRC) Open Fellowships to research...
Research into smart radio environments wins 'outstanding paper' award
Research into 6G recognised