Sampling Signals with Finite Rate of Innovation: Theory and Biomedical Applications
Staff - Faculty of Informatics
Start date: 3 December 2014
End date: 4 December 2014
The Faculty of Informatics is pleased to announce a seminar given by Pina Marziliano
DATE: Wednesday, December 3rd, 2014
PLACE: USI Lugano Campus, room SI-007, Informatics building (Via G. Buffi 13)
TIME: 10.30
ABSTRACT:
More than a decade ago, a novel sampling theory and reconstruction method was developed for a new class of sparse signals coined as signals with finite rate of innovation as they were defined by a finite number of parameters. After that, there was a surge in interest in developing signal processing theory and methods for sparse signals, for example, compressed sensing.
In this talk, I will give an overview of the sampling theory for signals with finite rate of innovation and present how some of its variants can be applied to a diverse set of biomedical applications and in particular to ECG signal analysis.
BIO:
Pina Marziliano completed her B.Sc. Applied Mathematics in 1994 at the Université de Montréal, Canada and was awarded an NSERC scholarship for the M.Sc.Computer Science (Operations Research) in 1996 from the same university. In 2001 she completed her Ph.D in Communication Systems at EPFL, Switzerland. She then joined a start-up company Genimedia SA in Lausanne, Switzerland where her main task was to research and develop perceptual quality metrics for multimedia applications. In March 2003, she became an Assistant Professor for the Information Engineering Division in the School of Electrical and Electronic Engineering at the Nanyang Technological University in Singapore. She was tenured and promoted to Associate Professor in August 2012. In October 2012, she co-founded PABensen Pte. Ltd. Where Art and Science Design®, a Singapore based design company engaged in developing thought provoking artistic objects and innovative functional products that bridge the fields of art, science and technology.
In July 2006, she was seconded for one year to the International Relations Office of the University. She conceptualised and developed the Global Partnership Management and Analysis Tool (GPMAT) and served as an in-house consultant to advise on the teaching quality of overseas programmes and institutions, interacted with exchange partners and liaised with local and international faculty for international relations.
In 2007, she received the 2006 Best Paper Award from the IEEE Signal Processing Society Awards Board for the paper Sampling Signals with Finite Rate of Innovation co-authored with Martin Vetterli and Thierry Blu which appeared in IEEE Trans. Signal Processing, Vol.50, June 2002. A patent for her work on sampling was granted in May 2006 and acquired by Qualcomm Inc in December 2007.
She has been involved in the organisation of numerous international conferences, in particular, she was the General Chair of the 9th International Conference on Sampling Theory and Applications in May 2011. She is an active member of the IEEE community in Singapore: Chair of the IEEE Singapore Section Women In Engineering from 2009-2010, Vice-Chair and Chair of the IEEE Signal Processing Chapter in Singapore, 2011-2012, 2013-2014, respectively; as well as in the IEEE Signal Processing Society where she served as an Associate Editor of the IEEE Signal Processing Letters and of the IEEE Transactions on Signal Processing. She is also a member of the Signal Processing Theory and Methods Technical Committee since Jan. 2012.
She currently teaches Digital Signal Processing and supervises undergraduate and graduate students. Her research interests include signal and image processing for biomedical applications.
HOSTS: Prof. Rolf Krause, Prof. Angelo Auricchio
