miguel rodrigues

READER of Information Theory and Information Processing

Dept. Electronic & Electrical Eng.
Faculty of Engineering Science
University College London

short bio

I am a Reader of Information Theory and Information Processing with the Dept. of Electronic and Electrical Engineering at University College London. I was previously with the Dept. of Computer Science, University of Porto, Portugal, rising through the ranks from Assistant to Associate Professor, where I also led the Information Theory and Communications Research Group at Instituto de Telecomunicações – Porto. 

I 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. I have then held postdoctoral positions both at Cambridge University and Princeton University. I have also held visiting research positions at Princeton University, Duke University and Cambridge University.  



research interests

My group's research activities are in the general area of sensing, analysis and processing of data, drawing on tools from information theory, information processing and machine learning. Our research covers both the theoretical foundations as well as practical applications in diverse areas ranging from compressive sensing, signal, image and video processing, and big data inference.  

research projects

IOSIRE: the internet of silicon retinas

Machine-to-machine communications for neuromorphic vision sensing data

Engineering and Physical Sciences Research Council (EPSRC). 
Co-I (2017-2020). Grant: £552,869.

Efficient Energy Management in Energy Harvesting Wireless Sensor Networks

An Approach Based on Distributed Compressive Sensing

Engineering and Physical Sciences Research Council (EPSRC).
PI (2013-2016). Grant: £587,661.

Information-Theoretic Foundations of Data Processing

A Rate-Distortion Approach

Royal Society International Exchange.
PI (2016-2018). Grant: £12,000. 
(with Y. C. Eldar)

Adaptive Compressive Sensing

Foundations and Applications

Royal Society International Exchange Scheme.
PI (2013-2015). Grant: £12,000. 
(with A. R. Calderbank)

research team

Jaweria Amjad

PhD Student
2016 - to date

Zahra Sabetsarvestani

PhD Student
2015 - to date

Meng-Yang Chen

PhD Student
2014 - to date

Jure Sokolic

PhD Student
2014 - to date

Pingfan Song

PhD Student
2014 - to date

recent papers

N. Deligiannis, J. Mota, E. Zimos, and M. R. D. Rodrigues. Heterogeneous Networked Data Recovery from Compressive Measurements Using a Copula Prior. IEEE Transactions on Communications, 2017. (to appear)

J. Sokolic, R. Gyries, G. Sapiro, and M. R. D. Rodrigues. Robust Large Margin Deep Neural Networks. IEEE Transactions on Signal Processing, vol. 65, no. 16, pp. 4265-4280, August 2017. 

J. M. C. Mota, N. Deligiannis, and M. R. D. Rodrigues. Compressed Sensing with Prior Information: Strategies, Geometry, and Bounds. IEEE Transactions on Information Theory, vol. 63, no. 7, pp. 4472-4496, July 2017.

L. Wang, M. Chen, M. R. D. Rodrigues, D. Wilcox, A. R. Calderbank, L. Carin. Information-Theoretic Compressive Measurement Design. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 6, pp. 1150-1164, June 2017.

N. Deligiannis, J. F. C. Mota, B. Cornelis, M. R. D. Rodrigues, and I. Daubechies. Multi-Modal Dictionary Learning for Image Separation With Application In Art Investigation. IEEE Transactions on Image Processing, vol. 26, no. 2, pp. 751 – 764, Feb. 2017.

recent talks


Plenary talk on "Intersections Between Information Theory and Estimation Theory With Applications to Communications System Design and Beyond", 11th IMA Conference on Mathematics in Signal Processing, Birmingham, UK

current courses


Communications and Photonics Systems

BEng/MEng in Electronic and Electrical Engineering


Wireless Communications Principles

MSc in Telecommunications, MSc in Wireless and Optical Communications, MSc in Internet Engineering


I have been consulting in the area of information processing for various companies worldwide over the years. I currently engage in consultancy activities via UCL Consultants.


I currently serve as Associate Editor to 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 J. Selected Topics in Signal Processing.