Jordi Vilà-Valls

ORCID iD
https://orcid.org/0000-0001-7858-4171
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Spain

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Jordi Vilà-Valls (2018-01-26)

  • Websites
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CTTC Website

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Jordi Vilà-Valls (2015-03-23)

Personal Website

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Jordi Vilà-Valls (2018-03-10)

Biography

Jordi Vilà-Valls is a Senior Researcher at the Statistical Inference for Communications and Positioning Department (CTTC), and part-time 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 (SPCOM), UPC (2010-2012); Signal Processing for Communications and Navigation group (SPCOMNAV), UAB (2012-2013); Statistical Inference for Communications and Positioning Department (SI), CTTC (2014-2015 and 2017). From May 2015 to December 2016, he was a part-time freelance research visitor at the Micro & Nanotechnologies research group (MNT), UPC. In the last 10+ years, he has been key personnel in several projects funded by the European Commission (EC), the European Space Agency (ESA) and the Spanish Ministry of Science. He conducts fundamental and applied research in the area of robust statistical signal processing. His primary areas of interest include statistical signal processing at large, estimation and detection theory, nonlinear Bayesian inference, machine learning, computational and robust statistics, robust stochastic filtering and adaptive signal processing methods; with applications to GNSS, indoor positioning/localization, tracking systems, sensor data fusion, wireless communications, aerospace science, air traffic management, intelligent transportation systems, computational biology and life sciences.
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