Efficient and Reliable Information Engineering: From Neuromorphic to Quantum Computing

Speaker

Osvaldo Simeone
Professor, Information Engineering, King's College, London

Title

"Efficient and Reliable Information Engineering: From Neuromorphic to Quantum Computing"

Abstract

Future intelligent information processing systems must take a different evolutionary path from the current trend of scaling artificial intelligence (AI) through ever-larger models and datasets. While this approach has driven remarkable advances in AI, engineering and scientific applications require a shift toward energy-efficient and reliable computing. This talk will outline a research vision that leverages neuromorphic and quantum computing to achieve these goals. It will explore model architecture design, hardware-aware training, and practical applications, emphasizing the importance of a co-design that leverages advances in statistics to ensure reliability. The discussion will also highlight key open problems and future research directions at the intersection of statistics, information theory, and emerging computing architectures.

About Speaker

Osvaldo Simeone is a Professor of Information Engineering, and he co-directs the Centre for Intelligent Information Processing Systems within the Department of Engineering of King's College London. He is also a visiting Professor with the Connectivity Section within the Department of Electronic Systems at Aalborg University. From 2006 to 2017, he was a faculty member of the Electrical and Computer Engineering (ECE) Department at New Jersey Institute of Technology (NJIT). 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 Open Fellowship by the EPSRC in 2022 and a Consolidator grant by the European Research Council (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" (Cambridge University Press), four monographs, two edited books, and more than 200 research journal and magazine papers. He is a Fellow of the IET, EPSRC, and IEEE.