Webinar of the Estonian Signal Processing/Circuits and Systems /Solid-State Circuits (SP/CAS/SSC) joint IEEE Society Chapter.
The presentation was given by Prof. Pier Luigi Dragotti, FIEEE (Imperial College London), IEEE SPS Distinguished Lecturer.
Topic: New Sampling methods: Sparse sampling based on timing information and sampling at unknown locations.
Pier Luigi Dragotti (Fellow, IEEE) received the Laurea Degree (summa cum laude) in electronic engineering from the University Federico II, Naples, Italy, in 1997 and the master’s degree in communications systems from the Swiss Federal Institute of Technology of Lausanne (EPFL), Switzerland, in 1998, and the Ph.D. degree from EPFL, Switzerland, in April 2002. He is Professor of Signal Processing with the Electrical and Electronic Engineering Department, Imperial College London. Before joining Imperial College in November 2002, he was a Senior Researcher with EPFL working on distributed signal processing for Swiss National Competence Center in Research on Mobile Information and Communication Systems. He has also held several visiting positions. He was a Visiting Student with Stanford University (1996), Summer Researcher with the Mathematics of Communications Department, Bell Labs, Lucent Technologies, Murray Hill, NJ (2000) and a Visiting Scientist with the Massachusetts Institute of Technology (2011). He is currently a IEEE SPS Distinguished Lecturer.,He was a Editor-in-Chief of the IEEE Transactions on Signal Processing (2018–2020), Member of the IEEE SPS Fellow Evaluation Committee (2020–21), an Associate Editor for the IEEE Transactions on Image Processing (2006–2009), Elected Member of the IEEE Image, Video and Multidimensional Signal Processing Technical Committee (2008–2013), where he acted as the Chair of the Award sub-committee (2011–2013). Member of the IEEE Signal Processing Theory and Methods Technical Committee (2013–2018). Member of the Computational Imaging Technical Committee (2015–2020). He was also the Technical Co-Chair for the European Signal Processing Conference (Eusipco) in 2012. Dragotti was also the recipient of the European Research Council (ERC) Investigator Award (2011–2016).,His research interests include sampling theory, wavelet theory and its applications, sparsity-driven signal processing and computational imaging.