Publications

• Article dans une revue

Corrigendum to “Structural, tribological and antibacterial properties of (α+β) based Ti-alloys for biomedical applications”

Mamoun Fellah, Naouel Hezil, Mohammed Zine Touhami, Mohammed Abdul Samad, Aleksei Obrosov, Dmitry Bokov, Ekaterina Marchenko, Alex Montagne, Alain Iost, Akram Alhussein

Journal of Materials Research and Technology, 2026, 41, pp.386-387. ⟨10.1016/j.jmrt.2025.12.025⟩. ⟨hal-05431669⟩

• Article dans une revue

Enhancing thermal management of GaN transistors with direct oil jet impingement: Experimental insights for high-power electronics

Anas El Amraoui, Riadh Boubaker, Souad Harmand

This study experimentally investigates the cooling performance of oil jet impingement on high-power GaN transistors, focusing on the effects of nozzle geometry (diameter: 0.5 mm, 1 mm; nozzle-transistor distance: 5 mm, 10 mm) and properties of two fluids (a NewOil-A and Siloil M40). At a flow rate…

International Journal of Thermal Sciences, 2026, 220, pp.110364. ⟨10.1016/j.ijthermalsci.2025.110364⟩. ⟨hal-05297563⟩

• Article dans une revue

Optimization of explicit RKN schemes to minimize spurious reflections from shock wave propagation on non-uniform grids

Emmanuel Creusé, Mamadou N'Diaye, Juliette Venel, Cédric Hubert, Nicolas Leconte

The propagation of shock waves on non-uniform grids appears, for example, in some impact problems of the fast dynamics type, where a finer mesh can typically be employed in regions of interest, leading to mesh ratios that can range from 10 to 20 or even more. Unfortunately, unwanted spurious…

International Journal for Numerical Methods in Engineering, 2026. ⟨hal-05144415v2⟩

• Article dans une revue

A hybrid memetic metaheuristic for medical staff assignment in major public health emergencies

Yang Wang, He Zheng, Zequn Wei, Christophe Wilbaut, Saïd Hanafi

During major public health emergencies, effective assignment of medical staff is crucial for saving lives and controlling the spread of epidemics. This work focuses on the assignment of doctors and nurses to hospitals to form treatment groups that carry out patient treatment tasks. We consider the…

Computers and Operations Research, 2026, 185, pp.107256. ⟨10.1016/j.cor.2025.107256⟩. ⟨hal-05243676⟩

• Article dans une revue

Grades of Operational and Tactical Automation in rail domain for an Artificial Intelligence Driving Assistance System

Simon Enjalbert, Jean-Valentin Merlevede, Frédéric Vanderhaegen

This work proposes new additional levels of progressive driver assistance, extending the traditional Grades Of Automation (GoA) in order to allow both dedicated Operational and Tactical assistances. The second contribution is an Artificial Intelligence Driving Assistance System (AIDAS) that aims to…

Cognition, Technology and Work, 2025, ⟨10.1007/s10111-025-00847-0⟩. ⟨hal-05394649⟩

• Article dans une revue

Determining Relevant 3D Roughness Parameters for Sandblasted Surfaces: A Methodological Approach

Maxence Bigerelle, Eddy Chevallier, Julie Lemesle, Raphael Deltombe, Frederic Robache, Romain Vayron, Nadiia Zubchuk, Ingrid Proriol Serre, Stephane Benayoun, Karine Anselme

This study presents a robust methodology for analyzing 3D roughness parameters to characterize sandblasted surfaces, identifying the most relevant descriptors for process optimization. Sandblasting with irregularly shaped corundum particles is performed using five grit sizes (25, 50, 90, 125, and…

Machines, 2025, Machines, 13 (12), pp.1122. ⟨10.3390/machines13121122⟩. ⟨hal-05406231⟩

• Article dans une revue

Biomechanical finite element simulation of the pelvic organs under dynamic loading and validation against experimental data from magnetic resonance imaging

Camille Lafond, Louise Hohnadel, Thomas Brunel, Nicolas Pirrò, Marc-Emmanuel Bellemare, Dominique Chamoret, Sébastien Roth

Medical Engineering & Physics, 2025, 146, pp.104433. ⟨10.1016/j.medengphy.2025.104433⟩. ⟨hal-05362410⟩

• Article dans une revue

Machine learning and deep learning applications in the automotive manufacturing industry: A systematic literature review and industry insights

Soufiane Douimia, Abdelghani Bekrar, Abdessamad Ait El Cadi, Yassin El Hillali, David Fillon

In the context of the automotive manufacturing industry, complexity and the extensive data generated during production pose significant challenges. With ongoing technological advancements, effectively harnessing and analyzing this data has become increasingly critical. Machine learning (ML) and…

Robotics and Computer-Integrated Manufacturing, 2025, 96, pp.103034. ⟨10.1016/j.rcim.2025.103034⟩. ⟨hal-05101225⟩

• Article dans une revue

Optimal Model-Free Tracking Control Based on Direct Adaptive Fuzzy Controller for a Mini-Drone

Hossam Eddine Glida, Abdelghani Chelihi, Chouki Sentouh, Jagat Jyoti Rath

This paper presents a direct robust adaptive fuzzy controller designed for a mini drone. The controller is developed to address the challenge of controlling the six-coupled nonlinear subsystems of the mini-drone with unknown dynamics for position and attitude control. The proposed control approach…

IEEE Transactions on Aerospace and Electronic Systems, In press, pp.1-11. ⟨10.1109/TAES.2025.3636505⟩. ⟨hal-05389696⟩

• Article dans une revue

Modelling of the influence of measurement uncertainties on the algorithmic complexity of 3D topography stitching

Maxence Bigerelle, Robin Guibert

Observation of physical phenomena and their expression on solids is a challenge, especially considering their coupling. As a privileged place of interaction between solids and the external environment, surface should be studied. Roughness analysis often relies on optical profilometers to provide…

Surface Topography: Metrology and Properties, 2025, 13 (4), pp.045008. ⟨10.1088/2051-672X/ae198e⟩. ⟨hal-05367414⟩