UCL Department of Electronic and Electrical Engineering

Prof Miguel Rodrigues

Prof Miguel Rodrigues

Professor of Information Theory and Processing

Dept of Electronic & Electrical Eng

Faculty of Engineering Science

Joined UCL
1st Jan 2006

Research summary

- information theory

- information processing

- machine learning


University College London
Doctorate, Doctor of Philosophy | 2002
University of Manchester Institute of Science and Technology
Other higher degree, Master of Science | 1998
Universidade do Porto
First Degree, Licentiate | 1998


Miguel Rodrigues is a Professor of Information Theory and Processing at University College London; he is Co-Founder and Director of the MSc in Integrated Machine Learning Systems at University College London; and he is also a Turing Fellow with the Alan Turing Institute — the UK National Institute of Data Science and Artificial Intelligence.

He has also previously held various appointments with various institutions worldwide including Cambridge University, Princeton University, Duke University, and the University of Porto, Portugal. He obtained the undergraduate degree in Electrical and Computer Engineering from the Faculty of Engineering of the University of Porto, Portugal and the Ph.D. degree in Electronic and Electrical Engineering from University College London.

Dr. Rodrigues’s research lies in the general areas of information theory, information processing, and machine learning. His most relevant contributions have ranged from the information-theoretic analysis and design of communications systems, information-theoretic security, information-theoretic analysis and design of sensing systems, and the information-theoretic foundations of machine learning.

Dr. Rodrigues’s work has led to (a) 200+ publications with 5000+ citations in leading journals and conferences in the field; (b) a book on “Information-Theoretic Methods in Data Science” published by Cambridge University Press; (c) 5+ keynotes in leading conferences and venues in the field; (d) various prizes and awards; (e) the supervision of 20+ postdoctoral and doctoral researchers; and (e) media coverage. His work — attracting £4.5M+ in research funding and fellowships his team alone — is supported by UKRI, Innovate UK, Royal Society, EU H2020, industry, among others.

Dr. Rodrigues serves/served as Associate Editor for the IEEE Transactions on Information Theory, Associate Editor for the IEEE Open Journal of the Communications Society, Associate Editor for the IEEE Communications Letters, and Lead Guest Editor of the Special Issue on “Information-Theoretic Methods in Data Acquisition, Analysis, and Processing” of the IEEE Journal on Selected Topics in Signal Processing.

He also serves/served as Co-Chair of the Technical Programme Committee of the IEEE Information Theory Workshop 2016, Cambridge, UK (with H. Bolcskei and AR Calderbank), and as member of the organizing / technical programme committee of various IEEE conferences in the area of information theory and processing. He is a member of the IEEE Signal Processing Society Technical Committee on “Signal Processing Theory and Methods”, the EURASIP SAT on Signal and Data Analytics for Machine Learning (SiG-DML), and the EPSRC Full Peer Review College.

Dr. Rodrigues also consults widely in the area of machine learning and artificial intelligence technologies with government institutions, funding agencies, and industry. He is also a member of the FCT-PARSUK “Scientific Council” advising Portuguese Government Institutions on research strategy and opportunities.

Dr. Rodrigues is the recipient of the Prize Eng. Antonio de Almeida, Prize Eng. Cristiano Spratley, the Merit Prize from the University of Porto, Portugal, fellowships from the Portuguese Foundation for Science and Technology as well as the Foundation Calouste Gulbenkian, and the IEEE Communications and Information Theory Societies Joint Paper Award 2011.