Jordi Vilà-Valls

Jordi Vilà-Valls

Senior Researcher

Division: Communication Systems
Category: Research
Phone: +34 93 645 29 00
Fax: + 34 93 645 29 01
Email:

Jordi Vilà-Valls holds a Senior Researcher position at the Statistical Inference for Communications and Positioning Department, Communication Systems Division, CTTC. He is also lecturer at the Telecommunications and Aerospace Engineering School (EETAC-UPC).

He received the MS in Electrical Engineering from both Universitat Politècnica de Catalunya (UPC), Barcelona, Spain, and Grenoble Institute of Technology (INPG), Grenoble, France, in 2006. In October 2006, he joined GIPSA-Lab at the INPG as a Research Assistant with a French Ministry of Science PhD grant. His thesis, entitled “Nonlinear Dynamic Channel Estimation for Mobile Satellite Receivers” (co-supervised by Prof. Laurent Ros and Prof. Jean-Marc Brossier), focused on nonlinear Bayesian estimation methods and its applications to synchronization problems for both communications and positioning systems. He received the PhD in Electrical Engineering (Signal Processing) from Grenoble INP in March 2010. He was a Postdoctoral Researcher in different research groups from 2010 to 2017: Signal Processing and Communications group, UPC (2010-2012); Signal Processing for Communications and Navigation group, UAB (2012-2013); Statistical Inference for Communications and Positioning Department, CTTC (2014-2015 and 2017). From May 2015 to December 2016, he was a freelance researcher.

He worked during the last 10+ years in several aspects related to advanced statistical signal processing techniques for i) communications, ii) positioning/navigation and tracking systems, and iii) aerospace science; with special emphasis on Bayesian statistical inference and adaptive/robust stochastic filtering techniques. He has also been a key personnel in several projects funded by the European Commission (EC), the European Space Agency (ESA) and the Spanish Ministry of Science. His primary areas of interest include statistical signal processing at large, estimation and detection theory, nonlinear Bayesian inference, computational and robust statistics, robust stochastic filtering and adaptive signal processing methods; with applications to GNSS, indoor positioning/localization, tracking and sensor fusion systems, wireless communications, aerospace science and intelligent transportation systems.

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