Publications

Distributed, Parallel, and Cluster Computing

SimSDP, a Rapid Prototyping tool for Radio Astronomy: From NenuFAR Experiments to SKAO-Scale Simulation

The Square Kilometre Array Observatory (SKAO) will generate unprecedented volumes of data, requiring its Science Data Processor (SDP) to operate at terabyte rates under strict energy and performance constraints. Anticipating the computational cost…

Ophélie Renaud, Nicolas Gac, François Orieux, Cedric Dumez-Viou

SaLF 2025 - 11th Annual conference on Science At Low Frequencies - 2025

Electric power

Analytical solution for fuel cell electric vehicle energy management including a long-term predefined velocity profile

This paper proposes a new Energy Management Strategy (EMS) for Fuel Cell Electric Vehicles (FCEVs) that optimizes energy efficiency and fuel cell durability, while remaining implementable in real-time. The approach uses an analytical solution of the…

Anatole Desreveaux, William Pasillas-Lépine, Alessio Iovine, Clément Mayet, Eric Labouré, Olivier Béthoux, Francis Roy

International Journal of Hydrogen Energy - 2025

Optics

Evaluation of carbon quantification by LIBS in hardened steels: impact of matrix effects induced by hardening heat treatments

Sarah Richiero, Leila Galai, Philippe Dillmann, Nicolas Wilkie-Chancellier, Vincent Detalle

14th Conference on Lasers in the Conservation of Artworks (LACONA XIV) - 2025

Engineering Sciences

Bandits Multi-Bras Multi-Agent : application à la recharge intelligente des véhicules électriques sous contraintes réseau

Eloann Le Guern-Dall'o, Raphaël Féraud, Guy Camilleri, Patrick Maillé, Fabien Petit, Riadh Zorgati, Fatma Salem, Hamid Benahmed, Anne Blavette

Symposium de Génie Électrique SGE 2025 - 2025

Acoustics

Ondes élastiques guidées dans un tube gaine en alliage de zirconium chromé

Les ondes élastiques guidées sont utilisées pour le contrôle des tubes, notamment pour la détection de fissures ou la mesure d'épaisseur. Ces ondes sont engendrées efficacement par impact laser et peuvent être détectées par interférométrie laser,…

Hafsa Diboune, Daniel Kiefer, Sylvain Mezil, Florian Lyonnet, Francois Bruno, Claire Prada

CFA 2025 - 17e Congrès Français d'Acoustique - 2025

Acoustics

Mission immobile: Conception et validation d’un dispositif de contrôle actif à destination des objets du patrimoine

Les objets du patrimoines, exposés en vitrine ou stockés en réserve, sont couramment exposés à des sources de vibration. Celles-ci peuvent être produites par des évènements acoustiques dans les espaces muséaux (type concerts ou défilés), des travaux…

Loïc Forma, Henri Boutin, Marguerite Jossic, Sandie Le Conte, Nicolas Wilkie-Chancellier

CFA 2025 - 17e Congrès Français d'Acoustique - 2025

Engineering Sciences

An Adaptive Sliding Window-Based Online Data-Driven Diagnosis Method for Inverter Open-Circuit Fault in WRSM Drive Systems

Chenyun Wu, Rabia Sehab, Javier Ojeda, Ahmad Akrad, Cristina Morel

IEEE Transactions on Power Electronics - 2025

Electric power

An Online Analytical Solution for Multi-Sector Bearingless Machine Current Reference Calculation

In this paper, an online analytical current reference calculation for minimizing Joule losses in Multi-Sector Bearingless Synchronous Machine with power-sharing capabilities is presented. In this study, the optimization problem of determining the…

Hugo Milan, Javier Ojeda, Meiqi Wang, Lorenzo Carbone, Michele Degano, Chris Gerada, Mauro Di Nardo, Antoine Cizeron

Energy Conversion Congress & Expo Europe 2025 (ECCE-Europe 2025) - 2025

Electric power

Deep Active Learning-driven Acceleration of Smart Grids Security Assessment

Reliable and efficient operation of smart grids (SGs) is contingent on fast and accurate security assessment, which is increasingly difficult because of the growing complexity and uncertainty of modern power grids. As traditional power flow (PF)…

Alban Marie, Juan J Cuenca, Emanuel Aldea, Guy Camilleri, Anne Blavette

IEEE PES ISGT (Innovative Smart Grid Technologies) Europe 2025 - 2025

Electronics

Data-driven Metamodels for Failure Analysis of Power Electronic Modules

This work presents a thorough analysis of machine learning (ML)-based metamodels to assess the reliability of power electronic modules (PEMs). Accurate lifetime prediction pipelines often require frequent updates of the mechanical state of PEMs…

Mehdi Ghrabli, Mounira Bouarroudj, Ludovic Chamoin, Emanuel Aldea

36th European Symposium on Reliability of Electron Devices, Failure Physics and Analysis (ESREF 2025) - 2025