Welcome to our site! In the Information Processing Lab, our research is somewhere in the frontiers of statistical signal processing and computational statistics. We are interested in practical problems in applications such as satellite-based navigation, indoor positioning and localization, wireless communications, and computational biology.

Mission: Our fundamental research revolves around the general problem of inferring time-evolving dynamical quantities – widely found in practical situations – when the dimensionality is high and/or the model is mismatched. We refer to the methodology dealing with such problem as robust filtering over complex systems.

Vision: We are carrying out both theoretical and applied research. I believe that both are important facets of research, being two sides of the same coin. A strong record in basic research is definitely a must to tackle applied projects, but on the other side carrying out projects of a more applied nature helps in identifying new problems and to feedback the fundamental research lines with relevant real-world challenges. I believe it is a winning combination.

Short bio: I am Associate Professor of Electrical and Computer Engineering at Northeastern University, Boston MA, which I joined in December 2016. I am leading the Information Processing Lab. Before crossing the ocean, I was Senior Researcher and served as Head of the Statistical Inference for Communications and Positioning Department at the Centre Tecnològic de Telecomunicacions de Catalunya, in Barcelona, institution that I joined in 2009. Previously, I was Research Assistant at Universitat Politècnica de Catalunya (UPC), Barcelona, from 2003 to 2009. During 2008 I was Research Visitor at the Stony Brook University (SBU), New York, USA.

The lab is part of the Signal Processing, Imaging, Reasoning, and Learning (SPIRAL) Group, in the Electrical & Computer Engineering (ECE) Department of NEU.