Publications

Electric power

Innovative Strategie for Eco-Friendly Printed Circuit Board Design

The growing concern over electronic waste (e-waste) poses significant environmental challenges, particularly in the disposal and recycling of printed circuit boards (PCBs), which are hazardous and difficult to process [1]. Traditional PCB recycling…

Nouh Zeggai, Morgan Almanza, Denis Labrousse, Laurent Dupont

Polymer blends / Eurofillers 2025 - 2025

Materials Science

UV-A treatment of P(VDF-TRFE-CFE): a route to efficient solid-state cooling solutions

Electrocaloric (EC) materials are gaining significant attention as eco-friendly alternatives to traditional gas refrigerants in next-generation cooling technologies due to their outstanding caloric properties and compact design [1]. The EC effect,…

Nouh Zeggai, Martino Lobue, Morgan Almanza

conference - 2025

Computer Science

ML-DoA Estimation using a Sparse Representation of Array Covariance with a non-standard noise

Maximum Likelihood (ML) Direction-of-Arrival (DoA) on the vectorized covariance matrix model (VCMM), relying on a Virtual Array (VA) of antennas, exhibits enhanced ability to separate closely spaced sources. Due to the finite number of snapshots,…

Thomas Aussaguès, Anne Ferréol, Alice Delmer, Pascal Larzabal

Robotics

Extended Study of a Multi-Modal Loop Closure Detection Framework for SLAM Applications

Loop Closure (LC) is a crucial task in Simultaneous Localization and Mapping (SLAM) for Autonomous Ground Vehicles (AGV). It is an active research area because it improves global localization efficiency. The consistency of the global map and the…

Mohammed Chghaf, Sergio Rodríguez Rodríguez Flórez, Abdelhafid El Ouardi

Electronics - 2025

Physics

TCAD-Based Analysis on the Impact of AlN Interlayer in Normally-off AlGaN/GaN MISHEMTs with Buried p-Region

With the growing demand for more efficient power conversion and silicon reaching its theoretical limit, wide bandgap semiconductor devices are emerging as a potential solution. For instance, Gallium Nitride (GaN)-based high-electron-mobility…

Saleem Hamady, Bilal Beydoun, Frédéric Morancho

Electronics - 2025

Signal and Image processing

Kalman filter for dynamic source power and steering vector estimation based on empirical covariances

Interferometric measurements correspond to sample covariance matrices of signals received by multiple sensors. In dynamic scenarios, such as radio astronomy imaging, the properties of these signals can vary over time, posing a significant challenge…

Cyril Cano, Mohammed Nabil El Korso, Éric Chaumette, Pascal Larzabal

Signal Processing - 2025

Computer Science

Whitening Effects for ML-DoA Estimation using a Sparse Representation of Array Covariance

Maximum Likelihood (ML) Direction-of-Arrival (DoA) estimation on the Vectorized Covariance Matrix Model (VCMM) exhibits enhanced performance in severe conditions compared to standard methods. Indeed, it benefits from the vectorized covariance matrix…

Thomas Aussaguès, Anne Ferréol, Alice Delmer, Pascal Larzabal

IEEE 50th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025) - 2025

Embedded Systems

A practical HW-aware NAS flow for AI vision applications on embedded heterogeneous SoCs

Implementing efficient Deep Neural Networks (DNNs) for dense-prediction vision applications on embedded heterogeneous SoCs comes with many challenges, such as latency and energy constraints. To tackle them, we propose a novel and practical multi…

Agathe Archet, Nicolas Ventroux, Nicolas Gac, François Orieux

18th Workshop on Design and Architectures for Signal and Image Processing (DASIP 2025) - 2025

Electronics

Z-SpecNNet: A Real-Time Embedded NN-Based Parameters Estimation for WPT Systems

This article proposes a fully embedded real-time mutual inductance and load estimation technique (Z-SpecNNet) applicable to wireless power transfer (WPT) systems. The technique consists of a three-step process, starting with online noise injection…

Thomas Boulanger, Vincenzo Cirimele, Mattia Ricco, Eric Monmasson

IEEE Transactions on Industrial Electronics - 2025

Signal and Image processing

Transfer Learning for Data Fusion for Electromagnetic and Ultrasound Breast Imaging

Aiming at improved breast imaging, this contribu- tion explores several scenarios for segmenting and estimating the distribution of electromagnetic (EM) and/or ultrasonic (US) parameters within breast tissue. A two-fold approach is adopted,…

Valentin Noël, Thomas Rodet, Dominique Lesselier

IEEE Transactions on Computational Imaging - 2025