Short CV

I am an Associate Professor at Université de Lorraine (Nancy, France) and a researcher at CRAN (Centre de Recherche en Automatique, UMR 7039), within the SiMul (Multidimensional Signals) research group. I teach in the Networks and Telecommunications (R&T) department at IUT Nancy-Brabois.

Research

My research lies at the intersection of statistical signal processing and machine learning, with a strong emphasis on structured low-rank modeling and tensor methods. I develop theoretically grounded algorithms for inverse problems arising in multi-sensor, multimodal, and high-dimensional data analysis.

• Constrained matrix and tensor factorizations (CPD, TT, structured low-rank models)
• Identifiability and uniqueness conditions for multilinear models
• Quaternion and hypercomplex methods for signal processing and data analysis
• Non-negative, Boolean, and structured decompositions for interpretable learning
• Online and real-time hyperspectral unmixing
• Physics-informed low-rank learning for polarimetric imaging
• Tensor-based compression of neural networks
• Spatio-temporal data completion for environmental monitoring

Academic Position

• Since 2006: Associate Professor (tenured), Université de Lorraine, Nancy.
• Member of CRAN (UMR 7039), SiMul research group.
• Teaching: Signal Processing, Digital Communications, Applied Mathematics (IUT Nancy-Brabois).

Education / Degrees

• Habilitation (HDR), 2022 - Université de Lorraine (France)
  Field: Control, Signal and Image Processing.
  Thesis: Constrained factorization of multidimensional data arrays: uniqueness and applications.
• Ph.D. in Signal Processing, 2005 - Grenoble INP (France)
  Laboratory: Laboratoire des Images et des Signaux (now GIPSA-lab).
  Dissertation: Multilinear and hypercomplex methods for high-resolution multicomponent array processing.
• M.S. (DEA), 2002 - Grenoble INP (France)
  Specialization: Signal, Image, Speech and Telecommunications.
• Engineering Degree, 2001 - “Gh. Asachi” Technical University of Iași (Romania)
  Electronics and Telecommunications.

PhD (Co-)Supervision

8 PhD theses (co-)supervised (2 currently ongoing).

• Laura Marta Montaldo Iglesias (2024 – ongoing)
  Recoverability and uniqueness of statistical factorized models with mixed (continuous and discrete) measurements.
• Chuong Luong (2024 – ongoing)
  Uniqueness of coupled tensor models with shared and specific factors.
• Saulo Barreto (2022–2025)
  Tensor decompositions for covariance imaging.
• Narech Houessou (2022–2025)
  Learning and data fusion methods for environmental monitoring and spatio-temporal pollutant cartography (funded by INRS).
• Ludivine Nus (2016–2019)
  Fast hyperspectral image processing methods for real-time material characterization.
• Mamadou Diop (2016–2018)
  Boolean decomposition of multiway binary data arrays using post-nonlinear mixture models.
• Fabrice Caland (2009–2013)
  Tensor decomposition of luminescent biosensor signals for mineral–bacteria system identification.
• Xijing Guo (2007–2012)
  Multilinear analysis for vector-sensor array processing (cotutelle with Xi’an Jiaotong University).

Selected Projects & Contracts (PI / co-PI)

A selection of externally funded research and collaborative contracts where I served as PI or co-PI.

• PRCI NSF-ANR grant (PI for the French side, 328k€): 2023–2027
  Learning from large structured datasets : Application to multi-subject fMRI analysis
• Alfa-Laval collaboration (PI, 18k€): 2024–2026
  Welding monitoring and defect characterization using signal processing and machine learning methods.
• INRS collaboration (PI, 30k€): 2022–2025
  Spatio-temporal mapping of workplace pollutants from sparse sensors using low-rank / tensor models (data fusion, completion, uncertainty-aware reconstruction).
• INRS exploratory projects (PI, 18k€): 2020–2021
  Real-time measurement data analysis and low-rank modeling for dynamic pollutant concentration maps.
• HTCS project (co-PI, 95k€): 2013–2015
  Compressive sampling and structured tensor processing for multivariate multi-sensor array signals.

Editorial Activities

• 2017–present: Editorial Board Member, IET Signal Processing (JCR-indexed).
• 2012–2023: Editorial Board Member, Physical Communication (JCR-indexed).
• 2012: Guest Editor, Special Issue “Polarization in Wireless Communications”, Physical Communication.
• 2010: Editor, Signal Processing, InTech, ISBN 978-953-7619-91-6.

Awards

• Ph.D. Thesis Award, Grenoble INP, 2005.
• IET Signal Processing Premium Award, 2022 (Best Paper Award).