Pau Closas

Assistant Professor,  Electrical and Computer Engineering


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  • 529 ISEC
  • 617.373.3778

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Research Focus

Statistical and array signal processing; estimation and detection theory; Bayesian inference; stochastic filtering; robust statistics; and game theory, with applications to positioning systems (GNSS and indoor technologies); wireless communications, and mathematical biology


Pau Closas is an assistant professor at the Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, since 2016. He received his MS and PhD in Electrical Engineering from the Universitat Politècnica de Catalunya (UPC) in 2003 and 2009, respectively. He also holds a MS degree in Advanced Mathematics and Mathematical Engineering from UPC since 2014. In 2003, he joined the Department of Signal Theory and Communications, UPC, as a Research Assistant. In 2008 he was Research Visitor at the Stony Brook University (SBU), NY, USA. In 2009 he joined the CTTC, where he was Senior Researcher and Head of the Statistical Inference for Communications and Positioning Department. His primary areas of interest include statistical and array signal processing, estimation and detection theory, stochastic filtering, robust statistics, and game theory, with applications to positioning systems, wireless communications, and mathematical biology.

He is the recipient of the EURASIP Best PhD Thesis Award 2014, the 9th Duran Farell Award for Technology Research, and the 2016 ION Early Achievement Award, in recognition to his contributions to navigation systems and signal processing fields. He served in the organization committees of flagship conferences, for instance, as Publications Chair of the IEEE SSP 2016 and the IEEE ICASSP 2020 conferences. He is also Guest Editor of special issues in the IEEE Trans. on Vehicular Technologies, the Proceedings of the IEEE, and the IEEE Sig. Proc. Magazine.



  • MS (2014), Universitat Politècnica de Catalunya, Advanced Mathematics and Mathematical Engineering
  • PhD, Universitat Politècnica de Catalunya, 2009
  • MS (2003), Universitat Politècnica de Catalunya, Electrical and Computer Engineering

Honors & Awards

  • Institute of Navigation Early Achievement Award
  • 2019 National Science Foundation CAREER Award
  • 2016 Best Paper Presentation Award, Institute of Navigation
  • 2016 Early Achievement Award, Institute of Navigation
  • 2014 EURASIP Best PhD Thesis Award
  • 2014 Duran Farell Award for Technology Research

Professional Affiliations

  • Institute of Electrical and Electronics Engineers
    • Senior Member
    • Signal Processing Society
  • Institute of Navigation

Research Overview

Statistical and array signal processing; estimation and detection theory; Bayesian inference; stochastic filtering; robust statistics; and game theory, with applications to positioning systems (GNSS and indoor technologies); wireless communications, and mathematical biology

Information Processing Lab

The lab 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.

Information Processing Lab

Selected Research Projects

College Research Initiatives

Selected Publications

  • Elvira, Victor, Closas, Pau, Martino, Luca (2021). Importance Gaussian Quadrature. IEEE Transactions on Signal Processing, 69,474-488. 10.1109/TSP.2020.3045526
  • Li, Haoqing, Medina, Daniel, Vila-Valls, Jordi, Closas, Pau (2021). Robust Variational-based Kalman Filter for Outlier Rejection with Correlated Measurements. IEEE Transactions on Signal Processing, 69,357-369. 10.1109/TSP.2020.3042944
  • Medina, Daniel, Vilà-Valls, Jordi, Chaumette, Eric, Vincent, François, Closas, Pau (2021). Cramér-Rao bound for a mixture of real- and integer-valued parameter vectors and its application to the linear regression model. Signal Processing, 179,107792. 10.1016/J.SIGPRO.2020.107792
  • Medina, Daniel, Li, Haoqing, Vilà-Valls, Jordi, Closas, Pau (2021). Robust Filtering Techniques for RTK Positioning in Harsh Propagation Environments. Sensors, 21(4),1250. 10.3390/S21041250
  • Ortega, Lorenzo, Poulliat, Charly, Boucheret, Marie Laure, Aubault Roudier, Marion, Al-Bitar, Hanaa, Closas, Pau (2021). Low Complexity Robust Data Demodulation for GNSS. Sensors, 21(4),1341. 10.3390/S21041341
  • Ortega, Lorenzo, Vilà-Valls, Jordi, Poulliat, Charly, Closas, Pau (2021). GNSS data demodulation over fading environments: Antipodal and M ‐ary CSK modulations. IET Radar Sonar and Navigation, 15(2),113-127. 10.1049/RSN2.12017
  • Pastor, Francisco, Garcia-Gonzalez, Jorge, Gandarias, Juan M., Medina, Daniel, Closas, Pau, Garcia-Cerezo, Alfonso J., Gomez-de-Gabriel, Jesus M. (2021). Bayesian and Neural Inference on LSTM-based Object Recognition from Tactile and Kinesthetic Information. IEEE Robotics and Automation Letters, 6(1),231-238. 10.1109/LRA.2020.3038377
  • Borsoi, Ricardo A., Imbiriba, Tales, Closas, Pau, Bermudez, Jose Carlos M., Richard, Cedric (2020). Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing. IEEE Geoscience and Remote Sensing Letters, ,1-5. 10.1109/LGRS.2020.3025781
  • Espluga, Lorenzo Ortega, Aubault-Roudier, Marion, Poulliat, Charly, Boucheret, Marie Laure, Al-Bitar, Hanaa, Closas, Pau (2020). LLR approximation for fading channels using a Bayesian approach. IEEE Communications Letters, 24(6),1244-1248. 10.1109/LCOMM.2020.2978832
  • Vilà-Valls, Jordi, Linty, Nicola, Closas, Pau, Dovis, Fabio, Curran, James T. (2020). Survey on signal processing for GNSS under ionospheric scintillation: Detection, monitoring, and mitigation. Navigation, 67(3),511-536. 10.1002/NAVI.379
  • Vilà-Valls, Jordi, Vivet, Damien, Chaumette, Eric, Vincent, François, Closas, Pau (2020). Recursive Linearly Constrained Wiener Filter for Robust Multi-Channel Signal Processing. Signal Processing, 167,107291. 10.1016/J.SIGPRO.2019.107291
  • J. Vilà-Valls, M. Navarro, P. Closas, M. Bertinelli Synchronization Challenges in Deep Space Communications, IEEE Aerospace and Electronic Magazine, 2019, 34(1), 16-27
  • E. Arias-de-Reyna, P. Closas, D. Dardari, P.M. Djuric Crowd-based Learning of Spatial Fields for the IoT, IEEE Signal Processing Magazine, 35(5), 2018, 130-139
  • D. Borio, H. Li, P. Closas, Huber’s Non-Linearity for GNSS Interference Mitigation, Sensors, 18(7), 2018, 2217
  • P. Closas, A. Gusi-Amigó, Direct Position Estimation of GNSS Receivers, IEEE Signal Processing Magazine, 34(5), 2017, 72-84
  • J. Vilà-Valls, P. Closas, J.T. Curran, Multi-frequency GNSS Robust Carrier Tracking for Ionospheric Scintillation Mitigation, Journal of Space Weather and Space Climate, 7, 2017, A26
  • M.G. Amin, P. Closas, A. Broumandan, J.L. Volakis Vulnerabilities, Threats, and Authentication in Satellite- Based Navigation Systems [Scanning the Issue], Proceedings of the IEEE, 104(6), 2016, 1169-1173
  • D. Dardari, P. Closas, P. Djuric, Indoor Tracking: Theory, Methods, and Technologies, IEEE Transactions on Vehicular Technology, 64(4), 2015, 1263-1278


Apr 13, 2022

Closas Receives AESS Harry Rowe Mimno Award

ECE Assistant Professor Pau Closas received the Harry Rowe Mimno Award from the IEEE Aerospace and Electronic Systems Society (AESS) for his paper “State Estimation Methods in Navigation: Overview and Application.” This award recognizes and fosters excellence in clear communications of technical material of widespread interest to AESS members, and in doing so, to honor […]


Dec 23, 2021

COE Professors Selected in Stanford University List of Top 2% Scientists Worldwide

The following COE professors are among the top scientists worldwide selected by Stanford University representing the top 2 percent of the most-cited scientists with single-year impact in various disciplines. The selection is based on the top 100,000 by c-score (with and without self-citations) or a percentile rank of 2% or above. The list below includes […]

In the Media

Jun 14, 2021

Research Roundup: Advanced High-Precision GNSS

ECE Assistant Professor Pau Closas’s research was featured in the GPS World article “Research Roundup: Advanced High-Precision GNSS“.

Assistant Professor Pau Closas, Professor Deniz Erdogmus, CEE Professor Edward Beighley


Feb 25, 2021

Improving Flood Monitoring Methods

ECE Assistant Professor Pau Closas, Professor Deniz Erdogmus, CEE Professor Edward Beighley, and ECE Postdoc Tales Imbiriba were awarded a $98K grant from the National Geographic Society’s Committee for Research and Exploration for “Spaceborne Multispectral Image Fusion for Water Mapping and Flood Management”.

Kaushik Chowdhury, Pau Closas, Deniz Erdogmus, Tommaso Melodia, and Yanzhi Wang


May 07, 2020

$1M DARPA Grant for Signal Processing in Neural Networks for Wireless IoT

ECE Associate Professor Kaushik Chowdhury, Assistant Professor Pau Closas, Professor Deniz Erdogmus, Professor Tommaso Melodia, and Assistant Professor Yanzhi Wang received $1M funding from DARPA for their project titled Signal Processing in Neural Networks (SPiNN) for Wireless IoT.


Apr 11, 2020

FY21 TIER 1 Award Recipients

Congratulations to the 19 COE faculty and affiliates who were recipients of FY21 TIER 1 Interdisciplinary Research Seed Grants for 13 different projects.


Jul 16, 2019

Professor Closas receives the TéSA Research Fellowship

ECE Assistant Professor Pau Closas was awarded the TéSA Research Fellowship to conduct collaborative research in one of the most active aerospace technology hubs in France.


Feb 13, 2019

Closas Receives NSF CAREER Award

ECE Assistant Professor Pau Closas received an NSF CAREER award for “Secure and ubiquitous position, navigation and timing.”


Sep 04, 2018

Securing Global Navigation Satellite System Infrastructures

ECE Assistant Professor Pau Closas was awarded a $160K NSF grant for “securing GNSS-based infrastructures.” Pau Closas, assistant professor, electrical and computer engineering, was awarded a $160K National Science Foundation grant for securing GNSS-based infrastructures. GNSS stands for Global Navigation Satellite Systems, encompassing all those positioning systems (like GPS or Galileo) that use a constellation […]


May 02, 2018

Closas Awarded 2018 PLANS Conference Best Paper Award

ECE Assistant Professor Pau Closas was awarded with the Best Paper in Track Award at the IEEE/ION Position Location and Navigation Symposium (PLANS). Jordi Vilà-Valls, James T. Curran, Pau Closas, Carles Fernández-Prades and Javier Arribas, “On-line Model Learning for Adaptive GNSS Ionospheric Scintillation Estimation and Mitigation,” in the Proceedings of the IEEE/ION Position Location and Navigation Symposium (PLANS […]

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