RAVAZZI Chiara

Tenured researcher

CNR-IEIIT
c/o Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino - Italy
E-mail: chiara.ravazzi@ieiit.cnr.it
Phone: 011 090 (5423)
RAVAZZI Chiara photo

Chiara Ravazzi obtained the B.Sc. in Mathematics for Engineering Sciences in 2005 and M.Sc. in Mathematical engineering in 2007, both from Politecnico di Torino, Italy. She then received the Ph.D. degree in Mathematics for Engineering Sciences from Politecnico di Torino in 2011, with a thesis on turbo-like codes for channel coding applications. From February 2010 to July 2010 she was a visiting member at the Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, working on algorithms for Compressed sensing and Matrix Completion problems.

From 2011 to 2012 she was a research assistant at the Department of Mathematics of Politecnico di Torino, where she focused on optimization and inference problems over networks under the supervision of Prof. Fabio Fagnani. From 2012 to 2016, she was a Post-Doc at the Department of Electronics and Telecommunications of Politecnico di Torino, developing algorithms for sparse recovery problems, within the project "Towards compressive information processing systems" funded by the European Union as ERC starting grant (2012 - 2016) under the supervision of Prof. Enrico Magli.

Since 2017, she is a Researcher of the National Research Council of Italy (CNR) at the Institute CNR-IEIIT, working in the Systems Modeling & Control (SMC) Group.

She is author of more than 30 works published in international journals, books, and proceedings of international conferences.

Dr. Ravazzi is a Member of the IEEE, Member of Signal Processing Theory and Methods Technical Committee (IEEE Signal Processing Society) and Member of CNIT (Consorzio Nazionale Interuniversitario per le Telecomunicazioni).

Since 2007, she has been teaching assistant at Politecnico di Torino (mainly for Mathematical Analysis, Information theory and control methodologies, Information and Coding Theory) and co-advised various master and PhD students.