Professor Pier Luigi Dragotti

Imperial College London


Pier Luigi Dragotti is Professor of Signal Processing in the Electrical and Electronic Engineering Department at Imperial College London and a Fellow of the IEEE. He received the Laurea Degree (summa cum laude) in Electronic Engineering from the University Federico II, Naples, Italy, in 1997; the Master degree in Communications Systems from the Swiss Federal Institute of Technology of Lausanne (EPFL), Switzerland in 1998; and PhD degree from EPFL, Switzerland, in April 2002. He has held several visiting positions. In particular, he was a visiting student at Stanford University, Stanford, CA in 1996, a summer researcher in the Mathematics of Communications Department at Bell Labs, Lucent Technologies, Murray Hill, NJ in 2000, a visiting scientist at Massachusetts Institute of Technology (MIT) in 2011 and a visiting scholar at Trinity College Cambridge in 2020. Before joining Imperial College in November 2002, he was a senior researcher at EPFL working on distributed signal processing for Swiss National Competence Center in Research on Mobile Information and Communication Systems.

Dragotti was Editor-in-Chief of the IEEE Transactions on Signal Processing (2018-2020), Technical Co-Chair  for the European Signal Processing Conference in 2012 and Associate Editor  of the IEEE Transactions on Image Processing from 2006 to 2009. He was also  an Elected Member of the IEEE Image, Video and Multidimensional Signal Processing Technical Committee as well as elected member of the IEEE Signal Processing Theory and Methods Technical Committee and of the IEEE Computational Imaging Technical Committee. In 2011 he was awarded  the prestigious ERC starting investigator award (consolidator stream) for the project RecoSamp. Currently, he is IEEE SPS Distinguished Lecturer.

His research interests include sampling theory, wavelet theory and its applications, computational imaging and sparsity-driven signal processing.  




Research Areas

Wavelet theory.
Sampling theory.
Sparse Signal Processing
Computational Imaging
Data-Driven Image processing and Image Super-Resolution.


Communications and Signal Processing Group
EEE Department